GET
/datasetsapiKey0 credits/requestList stored scraped datasets
Lists available read-only scraped datasets and the capabilities supported by each dataset.
Required params: None
API Reference
Use Crawlora's Stored Dataset Search API endpoints to search stored structured datasets as JSON. This documentation covers 109 active endpoints for listing datasets, searching Google Maps business records, nearby geo queries, facets, and item lookups. Dataset endpoints read indexed records, support repeatable filters and pagination, and do not trigger live scraping, browser execution, or proxy routing.
Choose a dataset endpoint, send an authenticated request with the x-api-key header, and inspect stored structured JSON records. Dataset requests query indexed Crawlora data; they do not start a live scraper or apply proxy routing.
curl -X GET "https://api.crawlora.net/api/v1/datasets" \
-H "x-api-key: $CRAWLORA_API_KEY"These endpoint cards are generated from the active Crawlora endpoint catalog, including method, path, auth mode, credit cost, parameter summary, docs, and Playground links.
/datasetsapiKey0 credits/requestLists available read-only scraped datasets and the capabilities supported by each dataset.
Required params: None
/datasets/airbnb-markets/facetsapiKey1 credit/requestReturns suppressed distribution counts over the Airbnb markets dataset, honoring the same filters as search. Facet enum: `country`, `market`, `currency`, `superhost`, `guest_favorite`, `rating_band`, `review_band`, `admin1` (top subdivision), `locality` (settlement), `room_type` (`entire_place`/`private_room`/`hotel`/`shared_room`), `property_type` (Airbnb's canonical listing type from the detail page), `amenities` (each amenity with the count of listings offering it). The `admin1`, `locality`, `room_type`, `property_type` and `amenities` facets stay empty until their enrichment coverage is high enough to be reliable. group_by enum: `country`, `market`, `admin1`, `locality`, `room_type`, `property_type`.
Required params: facet:query
/datasets/airbnb-markets/items/{country}apiKey1 credit/requestReturns one country's full aggregate Airbnb market profile from dataset id enum value `airbnb-markets` — headline supply, Superhost share, Guest Favorite share (`guest_favorite_pct`, an observed lower bound), `avg_person_capacity` (average guests a listing sleeps over the detail-page-enriched sample), ratings, its top metros, bounding box, per-currency nightly-price percentiles, and a USD-normalized `price_usd` percentile block (converted via an approximate dated FX snapshot) for cross-country comparison. Aggregate-only. Returns 404 for a country below the suppression floor.
Required params: country:path
/datasets/airbnb-markets/nearbyapiKey2 credits/requestReturns an aggregate geohash-grid density map of Airbnb listings within a radius of a coordinate, from dataset id enum value `airbnb-markets`. Each cell reports a centroid, listing count and Superhost share; thin cells are suppressed. Aggregate-only.
Required params: lat:query, lon:query, radius_m:query
/datasets/airbnb-markets/searchapiKey2 credits/requestReturns aggregate Airbnb short-term-rental market rollups from the dataset id enum value `airbnb-markets`. Aggregate-only: each row is a market cell, never an individual listing. Thin cells are suppressed. group_by enum: `country`, `market`, `admin1` (top subdivision), `locality` (settlement), `room_type` (`entire_place`/`private_room`/`hotel`/`shared_room`), `property_type` (Airbnb's canonical listing type from the detail page). `admin1`, `locality`, `room_type` and `property_type` are enrichment-derived and stay empty until their coverage is high enough to be reliable. Each cell also carries `median_price_usd`, the median nightly price converted to USD via an approximate dated FX snapshot, for cross-country comparison (combine with `group_by=room_type` for median price by room type); `guest_favorite_pct`, the share of listings carrying the Guest Favorite badge (an observed lower bound, like `superhost_pct`); and `avg_person_capacity`, the average guests a listing sleeps over the detail-page-enriched sample. Sort enum: `listings_desc`, `superhost_pct_desc`, `rating_desc`, `key_asc`.
Required params: None
/datasets/apple-podcasts-shows/facetsapiKey1 credit/requestReturns terms aggregation counts for the Apple Podcasts shows dataset. Facet enum: `genre`, `genre_id`, `country`, `content_advisory_rating`, `run_id`.
Required params: facet:query
/datasets/apple-podcasts-shows/items/{id}apiKey1 credit/requestReturns one crawled Apple Podcasts show record by id from dataset id enum value `apple-podcasts-shows`.
Required params: id:path
/datasets/apple-podcasts-shows/searchapiKey2 credits/requestSearches the crawled public Apple Podcasts show catalog stored in a search index. One row per show. Discovered from a country x genre x collection chart grid and a search-term sweep — not a full catalog of every Apple Podcasts show. Sort enum: `relevance`, `popularity`, `track_count_desc`, `release_desc`, `title_asc`.
Required params: None
/datasets/apps-charts/searchapiKey2 credits/requestSearches daily top-chart snapshots scraped from the iOS App Store and Google Play, stored in a search index (one document per chart × snapshot × rank). With no `date` the latest snapshot is returned (today's chart); pair `app_id` with `sort=date_desc` for an app's rank over time. Store enum: `ios`, `android`. Chart type enum: `top_free`, `top_paid`, `top_grossing`, `new`. Platform enum (Apple device platforms, ios charts only): `phone`, `pad`, `mac`. Sort enum: `rank`, `rank_desc`, `date_desc`.
Required params: None
/datasets/apps-reviews/searchapiKey2 credits/requestSearches user reviews scraped from the iOS App Store and Google Play, stored in a search index (one document per review). Store enum: `ios`, `android`. Sort enum: `recent`, `score_desc`, `score_asc`, `helpful_desc`.
Required params: None
/datasets/apps/searchapiKey2 credits/requestSearches resolved iOS App Store and Google Play apps stored in a search index. Store enum: `ios`, `android`, `both`. Platform enum (Apple device platforms, ios records only): `phone`, `pad`, `mac`, `tv`, `watch`, `vision`. Sort enum: `relevance`, `rating_desc`, `reviews_desc`, `installs_desc`, `updated_at_desc`, `popularity_desc`.
Required params: None
/datasets/boxofficemojo/facetsapiKey1 credit/requestReturns terms-aggregation counts for one facet of the Box Office Mojo dataset, scoped to the same filters as search. Facet enum: `gross_band`, `years_active`, `lifetime_year`, `franchise_names`, `brand_names`, `genre_names`, `hydrated`, `is_billion_dollar`, `in_lifetime_top_1000_ww`. gross_band enum: `under_50m`, `50_100m`, `100_250m`, `250_500m`, `500m_1b`, `over_1b`.
Required params: facet:query
/datasets/boxofficemojo/items/{title_id}apiKey1 credit/requestReturns one Box Office Mojo dataset record by title id (IMDb `tt…` id used on Box Office Mojo title pages), including lifetime grosses, year history, release groups and market grosses when hydrated.
Required params: title_id:path
/datasets/boxofficemojo/searchapiKey2 credits/requestSearches theatrical box-office records from public Box Office Mojo charts and title pages, stored in a search index. Filter by title id, year, franchise/brand/genre, gross band, lifetime top-1000 membership, hydration status, and worldwide/domestic gross ranges. Sort enum: `relevance`, `worldwide_desc`, `domestic_desc`, `peak_worldwide_desc`, `lifetime_rank_asc`, `year_desc`, `year_asc`. gross_band enum: `under_50m`, `50_100m`, `100_250m`, `250_500m`, `500m_1b`, `over_1b`.
Required params: None
/datasets/chrome-extensions/changesapiKey1 credit/requestReturns recent change observations. Change type enum: `users`, `rating`, `rating_count`, `version`, `developer`, `permissions`, `privacy`, `status`.
Required params: None
/datasets/chrome-extensions/facetsapiKey1 credit/requestReturns aggregation buckets. Facet enum: `item_type`, `category`, `developer`, `developer_email`, `manifest_version`, `permission`, `status`, `collects_data`, `has_broad_host_access`. Item type enum: `extension`, `theme`, `app`, `unknown`. Search sort, status and manifest-version enums match the search endpoint.
Required params: facet:query
/datasets/chrome-extensions/history/{id}apiKey1 credit/requestReturns chronological change-only observations for a Chrome Web Store item.
Required params: id:path
/datasets/chrome-extensions/items/{id}apiKey1 credit/requestReturns one stored extension, theme or legacy app snapshot by its 32-character Chrome Web Store id.
Required params: id:path
/datasets/chrome-extensions/metricsapiKey1 credit/requestReturns chart-ready coverage, adoption, rating, permission, privacy and recent-change aggregates for the stored Chrome Web Store dataset. Days enum: `7`, `30`, `90`.
Required params: None
/datasets/chrome-extensions/searchapiKey2 credits/requestSearches stored Chrome Web Store item snapshots. Item type enum: `extension`, `theme`, `app`, `unknown`. Sort enum: `relevance`, `users_desc`, `rating_desc`, `reviews_desc`, `updated_desc`, `trending_desc`. Status enum: `active`, `removed`. Manifest version enum: `2`, `3`.
Required params: None
/datasets/chrome-extensions/trendingapiKey2 credits/requestReturns stored Chrome Web Store items ranked by the latest observed user and rating-count movement. Filters match the search endpoint; sort is fixed to `trending_desc`.
Required params: None
/datasets/creators/searchapiKey2 credits/requestSearches TikTok creators stored in a search index (one document per creator), with follower counts, verified status, niche, and engagement. Deleted and private accounts are excluded by default; set `include_inactive=true` to include them for historical lookups. Sort enum: `followers_desc`, `engagement_desc`, `likes_desc`, `relevance`. Coverage note: `followers_desc`, `likes_desc`, and `relevance` are backed by profile fields present across the full dataset; the post-level engagement metrics (`engagement_rate`, `avg_views`, and the nested `post_stats` object) and the `engagement_desc` sort are currently populated for a growing subset of creators, prioritizing the highest-reach accounts. Creators without these metrics are still returned but sort last under `engagement_desc` and omit those fields.
Required params: None
/datasets/github-users/facetsapiKey1 credit/requestReturns terms aggregation counts for the GitHub users dataset. Facet enum: `influence_tier`, `type`, `country`, `country_code`, `state`, `city`, `domains`, `company`, `reachable`, `has_email`, `has_twitter`, `has_blog`, `active_90d`, `hireable`, `is_org`, `is_bot`, `is_suspected_automation`. influence_tier enum: `nano`, `micro`, `mid`, `macro`, `mega`. Suspected-automation records are excluded by default unless is_suspected_automation is set.
Required params: facet:query
/datasets/github-users/items/{login}apiKey1 credit/requestReturns one enriched GitHub user record by login from dataset id enum value `github-users`.
Required params: login:path
/datasets/github-users/nearbyapiKey2 credits/requestSearches enriched GitHub users near a coordinate, sorted by distance, in dataset id enum value `github-users`. influence_tier enum: `nano`, `micro`, `mid`, `macro`, `mega`.
Required params: lat:query, lon:query, radius_m:query
/datasets/github-users/searchapiKey2 credits/requestSearches enriched public GitHub user profiles stored in a search index. influence_tier enum: `nano`, `micro`, `mid`, `macro`, `mega`. Sort enum: `relevance`, `rank_score_desc`, `followers_desc`, `account_age_desc`, `account_age_asc`, `distance_asc`.
Required params: None
/datasets/goodreads-authors/facetsapiKey1 credit/requestReturns terms aggregation counts for the Goodreads authors dataset. Facet enum: `genres`, `run_id`.
Required params: facet:query
/datasets/goodreads-authors/items/{id}apiKey1 credit/requestReturns one crawled Goodreads author profile record by id from dataset id enum value `goodreads-authors`.
Required params: id:path
/datasets/goodreads-authors/searchapiKey2 credits/requestSearches the crawled public Goodreads author profile index. Authors are discovered as a byproduct of the books crawl (every credited book contributor, plus the genre/search/list seed sources) — not a full catalog. Sort enum: `relevance`, `rating_desc`, `reviews_desc`, `name_asc`.
Required params: None
/datasets/goodreads-books/facetsapiKey1 credit/requestReturns terms aggregation counts for the Goodreads books dataset. Facet enum: `genres`, `format`, `language`, `publisher`, `primary_author`, `primary_author_id`, `series_name`, `publication_year`, `run_id`.
Required params: facet:query
/datasets/goodreads-books/items/{id}apiKey1 credit/requestReturns one crawled Goodreads book record by id from dataset id enum value `goodreads-books`.
Required params: id:path
/datasets/goodreads-books/searchapiKey2 credits/requestSearches the crawled public Goodreads book catalog stored in a search index. Discovered from curated Listopia "best of" lists, a search-term sweep, and author bibliography expansion — not a full catalog. Sort enum: `relevance`, `rating_desc`, `reviews_desc`, `publication_desc`, `publication_asc`, `pages_desc`, `pages_asc`, `title_asc`.
Required params: None
/datasets/google-map-businesses/facetsapiKey1 credit/requestReturns terms aggregation counts for Google Maps businesses. Facet enum: `category`, `country`, `state`, `county`, `city`, `town`, `website_status`. Category facet values are exact locale-specific Google Maps labels and can be localized, non-ASCII, or contain punctuation; pass a returned value unchanged to the category filter.
Required params: facet:query
/datasets/google-map-businesses/items/{place_id}apiKey1 credit/requestReturns one stored Google Maps business by Google place_id from dataset id enum value `google-map-businesses`. The `category` field contains the exact Google Maps category label returned for the business locale and can be localized, non-ASCII, or contain punctuation. A `rating` of `null` means no aggregate rating is available. A `review_count` of `null` means Google did not return a count; numeric `0` means Google confirmed zero reviews. Locationless service-area businesses (online/mobile/home-based) have a `null` `geo`.
Required params: place_id:path
/datasets/google-map-businesses/nearbyapiKey2 credits/requestSearches stored Google Maps businesses near a coordinate in dataset id enum value `google-map-businesses`. `category` is the exact Google Maps category label returned for the business locale; it can be localized, non-ASCII, or contain punctuation, so use the category facet to discover exact filter values. A `rating` of `null` means no aggregate rating is available. A `review_count` of `null` means Google did not return a count; numeric `0` means Google confirmed zero reviews. `min_rating` above 0 excludes unrated businesses.
Required params: lat:query, lon:query, radius_m:query
/datasets/google-map-businesses/searchapiKey2 credits/requestSearches Google Maps business records stored in a search index. Sort enum: `relevance`, `updated_at_desc`, `rating_desc`, `review_count_desc`, `distance_asc`. `category` is the exact Google Maps category label returned for the business locale; it can be localized, non-ASCII, or contain punctuation, so use the category facet to discover exact filter values. A `rating` of `null` means no aggregate rating is available. A `review_count` of `null` means Google did not return a count; numeric `0` means Google confirmed zero reviews. `rating_desc` sorts unrated businesses last, and `min_rating` above 0 excludes them. Use `has_geo=false` to isolate locationless service-area businesses (which have a `null` `geo`).
Required params: None
/datasets/housing-markets/facetsapiKey1 credit/requestReturns terms aggregation counts for the housing markets dataset. Facet enum: `region_type`, `state_code`, `property_type`, `parent_metro`, `parent_metro_code`, `income_vintage`, `is_latest`, `period_begin`. region_type enum: `national`, `metro`, `county`, `city`, `zip`. property_type enum: `All Residential`, `Single Family Residential`, `Condo/Co-op`, `Townhouse`, `Multi-Family (2-4 Unit)`, `Single Units Only`.
Required params: facet:query
/datasets/housing-markets/items/{region_type}/{table_id}apiKey1 credit/requestReturns one housing-market record by region_type and Redfin table_id from dataset id enum value `housing-markets`. region_type enum: `national`, `metro`, `county`, `city`, `zip`. property_type enum: `All Residential`, `Single Family Residential`, `Condo/Co-op`, `Townhouse`, `Multi-Family (2-4 Unit)`, `Single Units Only` (defaults to `All Residential`). `period` defaults to the most recent period on record. Pass `history=true` to get the full monthly series (a `{dataset, region_type, table_id, property_type, items}` envelope, sorted by period ascending) instead of a single record.
Required params: region_type:path, table_id:path
/datasets/housing-markets/searchapiKey2 credits/requestSearches monthly Redfin housing-market statistics per region and property type since 2012, joined to Census ACS income for affordability metrics. region_type enum: `national`, `metro`, `county`, `city`, `zip`. property_type enum: `All Residential`, `Single Family Residential`, `Condo/Co-op`, `Townhouse`, `Multi-Family (2-4 Unit)`, `Single Units Only`. Sort enum: `relevance`, `price_desc`, `price_asc`, `list_price_desc`, `list_price_asc`, `price_to_income_desc`, `price_to_income_asc`, `salary_to_buy_desc`, `salary_to_buy_asc`, `dom_asc`, `dom_desc`, `inventory_desc`, `homes_sold_desc`, `period_desc`. Use `latest=true` for the most recent period per region series.
Required params: None
/datasets/instagram-users/facetsapiKey1 credit/requestReturns terms aggregation counts for the Instagram users dataset. Facet enum: `is_verified`, `is_business_account`, `has_bio`, `has_external_url`, `category_name`, `source_tier`.
Required params: facet:query
/datasets/instagram-users/items/{username}apiKey1 credit/requestReturns one Instagram user record by username from dataset id enum value `instagram-users`.
Required params: username:path
/datasets/instagram-users/searchapiKey2 credits/requestSearches public Instagram user profiles stored in a search index. Sort enum: `relevance`, `followers_desc`, `followers_asc`, `crawled_at_desc`, `crawled_at_asc`, `created_at_desc`, `created_at_asc`.
Required params: None
/datasets/jobs/companiesapiKey1 credit/requestSearches the discovered company board registry — which companies are hiring, on which ATS (or, for the 5 single-company big-tech providers, which platform), with how many open roles. Set sponsors_visa=true to keep companies with certified employer filings in recent public U.S. Department of Labor LCA disclosure data. This is company-level historical evidence, not a guarantee for a specific role or candidate. provider enum: `greenhouse`, `lever`, `ashby`, `workday`, `smartrecruiters`, `workable`, `recruitee`, `rippling`, `personio`, `teamtailor`, `oracle`, `ukg`, `icims`, `eightfold`, `gem`, `pinpoint`, `amazon-jobs`, `apple-jobs`, `google-jobs`, `meta-jobs`, `tesla-jobs`. status enum: `active`, `empty`, `gone`, `blocked`, `pending`, `invalid`. sort enum: `open_desc`, `company_asc`, `crawled_desc`.
Required params: None
/datasets/jobs/companies/{id}apiKey1 credit/requestReturns one discovered company board by its dataset board id. When the company name matches recent public U.S. Department of Labor LCA disclosure data, the response includes `lca_sponsorship` with filing counts and observed fiscal-quarter range; this is company-level historical evidence, not a guarantee for a specific role or candidate. When the board carries a known domain, the response also includes a `tech_stack` firmographic hint. Returns 404 when the board id is not in the registry.
Required params: id:path
/datasets/jobs/facetsapiKey1 credit/requestAggregations over all open postings: top companies hiring, breakdown by provider (every provider filterable via /datasets/jobs/search's `provider` param), department, location, employment type, skill, benefit, education, security clearance, seniority, and ESCO/ISCO job family, plus the remote share — a live hiring-market snapshot. Seniority uses one mutually exclusive value: `entry`, `mid`, or `senior`; ambiguous occupations are omitted from job-family buckets.
Required params: None
/datasets/jobs/items/{id}apiKey1 credit/requestReturns one crawled job posting by its dataset posting id. Returns 404 when absent.
Required params: id:path
/datasets/jobs/nearbyapiKey1 credit/requestFinds crawled job postings within `radius_km` of a `lat`/`lon`, nearest first. Only geocoded postings participate (the geo-enrich worker back-fills coordinates from each posting's location). Open roles only by default. provider enum: `greenhouse`, `lever`, `ashby`, `workday`, `smartrecruiters`, `workable`, `recruitee`, `rippling`, `personio`, `teamtailor`, `oracle`, `ukg`, `icims`, `eightfold`, `gem`, `pinpoint`, `amazon-jobs`, `apple-jobs`, `google-jobs`, `meta-jobs`, `tesla-jobs`.
Required params: lat:query, lon:query
/datasets/jobs/searchapiKey1 credit/requestFull-text + faceted search over every job posting crawled from every discovered company ATS board (Greenhouse, Lever, Ashby, Workday, SmartRecruiters, Workable, Recruitee, Rippling, Personio, Teamtailor, Oracle, UKG, iCIMS, Eightfold, Gem, Pinpoint) plus 5 single-company big-tech careers platforms (Amazon, Apple, Google, Meta, Tesla). Open roles only by default (set include_closed=true for historical/filled roles). Salary is parsed from a structured field when the provider has one, or from an explicit pay figure stated in the description otherwise, so coverage varies by posting rather than by provider; min_salary/max_salary filter on it and require salary_currency, since comparing raw compensation numbers across currencies is meaningless. Location is also exposed as structured city/state/country fields alongside the free-text location string, so city/state/country filter on an exact match of those parsed components rather than substring-matching the display string. job_family is an exact level-2 ISCO family label assigned from ESCO occupation evidence; ambiguous postings remain unclassified and do not match that filter. employment_type is never populated for google-jobs/meta-jobs, and posted_at (so sort=posted_desc) is never populated for meta-jobs/tesla-jobs -- their upstream APIs expose no such field. provider enum: `greenhouse`, `lever`, `ashby`, `workday`, `smartrecruiters`, `workable`, `recruitee`, `rippling`, `personio`, `teamtailor`, `oracle`, `ukg`, `icims`, `eightfold`, `gem`, `pinpoint`, `amazon-jobs`, `apple-jobs`, `google-jobs`, `meta-jobs`, `tesla-jobs`. workplace_type enum: `onsite`, `hybrid`, `remote`. sort enum: `relevance`, `posted_desc`, `company_asc`.
Required params: None
/datasets/journalists/facetsapiKey1 credit/requestReturns distribution counts over the journalists index (dataset id enum value `journalists`), honoring the same filters as search. Facet enum: `outlet`, `vertical`, `topic`, `contact_type`.
Required params: facet:query
/datasets/journalists/items/{outlet}/{slug}apiKey1 credit/requestReturns one journalist by outlet id and slug from dataset id enum value `journalists`. Returns 404 when the outlet is not supported or the journalist is not in the index.
Required params: outlet:path, slug:path
/datasets/journalists/searchapiKey2 credits/requestSearches the journalists index (dataset id enum value `journalists`) — public journalist and reporter contact records crawled from news outlets' own staff/author pages, for PR outreach. Each record carries the outlet, title, best-effort beat topics, and any public contact info (a work email or a social handle) found on that outlet's own page. There is no cross-outlet upstream search; this dataset is built by crawling a curated roster of outlets ourselves. vertical enum: `tech`, `crypto`, `marketing`, `consumer_tech`, `consumer_policy`, `cybersecurity`, `health`, `gaming`, `climate`, `business`, `entertainment`, `sports`, `legal`, `science`, `politics`, `real_estate`, `automotive`, `travel`, `food`, `education`, `design`, `film_tv`, `fashion`, `music`, `personal_finance`, `tech_independent`, `culture_independent`, `local_news`, `construction`, `banking`, `retail`, `aerospace_defense`, `energy`, `agriculture`, `local_business`. contact_type enum: `email`, `social`, `none`. sort enum: `relevance`, `name_asc`, `outlet_asc`, `crawled_desc`.
Required params: None
/datasets/numbeo-cities/facetsapiKey1 credit/requestReturns terms aggregation counts for the Numbeo cities dataset. Facet enum: `country`.
Required params: facet:query
/datasets/numbeo-cities/items/{slug}apiKey1 credit/requestReturns one composite Numbeo city record by city slug from dataset id enum value `numbeo-cities`.
Required params: slug:path
/datasets/numbeo-cities/searchapiKey2 credits/requestSearches the composite Numbeo cities dataset, merged from the current global rankings of all seven index families (cost of living, quality of life, crime, health care, pollution, traffic, property investment). A city appears once it is ranked by at least one family; coverage varies per city. Sort enum: `name_asc`, `cost_of_living_asc`, `cost_of_living_desc`, `quality_of_life_desc`, `safety_desc`, `crime_asc`, `health_care_desc`, `pollution_asc`, `traffic_asc`.
Required params: None
/datasets/numbeo-countries/items/{country}apiKey1 credit/requestReturns one composite Numbeo country record by country name from dataset id enum value `numbeo-countries`.
Required params: country:path
/datasets/numbeo-countries/searchapiKey2 credits/requestSearches the composite Numbeo countries dataset, merged from the current global by-country rankings of all seven index families. Sort enum: `name_asc`, `cost_of_living_asc`, `cost_of_living_desc`, `quality_of_life_desc`, `safety_desc`, `crime_asc`, `health_care_desc`, `pollution_asc`, `traffic_asc`.
Required params: None
/datasets/pitchbook-advisors/facetsapiKey1 credit/requestReturns terms aggregation counts for the PitchBook advisors dataset. Facet enum: `service_type`, `hq_country`, `hq_state`, `run_id`.
Required params: facet:query
/datasets/pitchbook-advisors/items/{id}apiKey1 credit/requestReturns one crawled PitchBook advisor record by id from dataset id enum value `pitchbook-advisors`.
Required params: id:path
/datasets/pitchbook-advisors/searchapiKey2 credits/requestSearches the crawled public PitchBook advisor (service provider — e.g. investment bank, lender, financing advisory firm) profile catalog stored in a search index. Discovered from PitchBook's public sitemap. Sort enum: `relevance`, `name_asc`, `year_founded_desc`, `recently_crawled_desc`.
Required params: None
/datasets/pitchbook-companies/facetsapiKey1 credit/requestReturns terms aggregation counts for the PitchBook companies dataset. Facet enum: `status`, `primary_industry`, `financing_status`, `ownership_status`, `hq_country`, `hq_state`, `run_id`.
Required params: facet:query
/datasets/pitchbook-companies/items/{id}apiKey1 credit/requestReturns one crawled PitchBook company record by id from dataset id enum value `pitchbook-companies`.
Required params: id:path
/datasets/pitchbook-companies/searchapiKey2 credits/requestSearches the crawled public PitchBook company profile catalog stored in a search index. Discovered from PitchBook's public sitemap. Sort enum: `relevance`, `name_asc`, `year_founded_desc`, `investor_count_desc`, `recently_crawled_desc`.
Required params: None
/datasets/pitchbook-funds/facetsapiKey1 credit/requestReturns terms aggregation counts for the PitchBook funds dataset. Facet enum: `fund_strategy`, `fund_status`, `run_id`.
Required params: facet:query
/datasets/pitchbook-funds/items/{id}apiKey1 credit/requestReturns one crawled PitchBook fund record by id from dataset id enum value `pitchbook-funds`.
Required params: id:path
/datasets/pitchbook-funds/searchapiKey2 credits/requestSearches the crawled public PitchBook fund profile catalog stored in a search index. Discovered from PitchBook's public sitemap. Sort enum: `relevance`, `name_asc`, `vintage_desc`, `recently_crawled_desc`.
Required params: None
/datasets/pitchbook-investors/facetsapiKey1 credit/requestReturns terms aggregation counts for the PitchBook investors dataset. Facet enum: `status`, `investor_type`, `hq_country`, `hq_state`, `run_id`.
Required params: facet:query
/datasets/pitchbook-investors/items/{id}apiKey1 credit/requestReturns one crawled PitchBook investor record by id from dataset id enum value `pitchbook-investors`.
Required params: id:path
/datasets/pitchbook-investors/searchapiKey2 credits/requestSearches the crawled public PitchBook investor (fund manager/firm) profile catalog stored in a search index. Discovered from PitchBook's public sitemap. Sort enum: `relevance`, `name_asc`, `portfolio_count_desc`, `recently_crawled_desc`.
Required params: None
/datasets/pitchbook-limited-partners/facetsapiKey1 credit/requestReturns terms aggregation counts for the PitchBook limited partners dataset. Facet enum: `institution_type`, `hq_country`, `hq_state`, `run_id`.
Required params: facet:query
/datasets/pitchbook-limited-partners/items/{id}apiKey1 credit/requestReturns one crawled PitchBook limited partner record by id from dataset id enum value `pitchbook-limited-partners`.
Required params: id:path
/datasets/pitchbook-limited-partners/searchapiKey2 credits/requestSearches the crawled public PitchBook limited partner (institutional investor — e.g. pension fund, endowment, insurance company) profile catalog stored in a search index. Discovered from PitchBook's public sitemap. Some limited partner profiles have no FAQ section -- this is normal, not a sign of missing data. Sort enum: `relevance`, `name_asc`, `year_founded_desc`, `recently_crawled_desc`.
Required params: None
/datasets/playstation-games/facetsapiKey1 credit/requestReturns terms aggregation counts for the PlayStation games dataset. Facet enum: `publisher`, `classification`, `genres`, `platforms`, `content_rating_authority`, `content_descriptors`, `price_tier`, `service_branding`, `region`, `release_year`, `run_id`, `is_free`, `is_addon`, `is_tied_to_subscription`, `coming_soon`. price_tier enum: `free`, `under_5`, `5_to_10`, `10_to_20`, `20_to_40`, `40_to_60`, `60_plus`.
Required params: facet:query
/datasets/playstation-games/items/{product_id}apiKey1 credit/requestReturns one crawled PlayStation Store record by product_id from dataset id enum value `playstation-games`.
Required params: product_id:path
/datasets/playstation-games/searchapiKey2 credits/requestSearches the crawled public PlayStation Store catalog stored in a search index. One row per product SKU (game, edition or add-on); concept_id / np_title_id group a title's SKUs. price_tier enum: `free`, `under_5`, `5_to_10`, `10_to_20`, `20_to_40`, `40_to_60`, `60_plus`. Sort enum: `relevance`, `rating_desc`, `reviews_desc`, `price_asc`, `price_desc`, `discount_desc`, `release_desc`, `release_asc`.
Required params: None
/datasets/producthunt-makers/facetsapiKey1 credit/requestReturns distribution counts over the Product Hunt makers dataset (dataset id enum value `producthunt-makers`), honoring the same filters as search. Facet enum: `topic`, `product_count_band`.
Required params: facet:query
/datasets/producthunt-makers/items/{username}apiKey1 credit/requestReturns one maker by Product Hunt username from dataset id enum value `producthunt-makers`, including the products they made and their aggregate footprint. Returns 404 when the username is not in the dataset.
Required params: username:path
/datasets/producthunt-makers/searchapiKey2 credits/requestSearches Product Hunt makers from the dataset id enum value `producthunt-makers` — public-profile records of the people who made products, with their footprint (products made, total upvotes, topics) for maker leaderboards. Public fields only. Sort enum: `total_votes_desc`, `product_count_desc`, `followers_desc`, `relevance`.
Required params: None
/datasets/producthunt-products/facetsapiKey1 credit/requestReturns distribution counts over the Product Hunt products dataset (dataset id enum value `producthunt-products`), honoring the same filters as search. Facet enum: `topic`, `launch_year`, `pricing_type`, `product_state`.
Required params: facet:query
/datasets/producthunt-products/items/{slug}apiKey1 credit/requestReturns one product by its Product Hunt slug from dataset id enum value `producthunt-products`, including its full launch history and (once hydrated) description, website, twitter_url, pricing and makers. Returns 404 when the slug is not in the archive.
Required params: slug:path
/datasets/producthunt-products/searchapiKey2 credits/requestSearches individual Product Hunt launches from the dataset id enum value `producthunt-products` — the searchable launch archive. Each result is one product with its topics, upvotes, ranks and launch history; description/website/twitter_url/pricing/makers are filled in as hydration runs. Sort enum: `relevance`, `votes_desc`, `launched_desc`, `launched_asc`, `rating_desc`, `best_rank_asc`.
Required params: None
/datasets/producthunt-trends/facetsapiKey1 credit/requestReturns suppressed distribution counts over the Product Hunt trends dataset (dataset id enum value `producthunt-trends`), honoring the same filters as search. Facet enum: `topic`, `launch_year`.
Required params: facet:query
/datasets/producthunt-trends/searchapiKey2 credits/requestReturns aggregate Product Hunt launch trends from the dataset id enum value `producthunt-trends`. Aggregate-only: each row is a category-over-time cell (a topic, optionally within a calendar period), reporting launch count, total and average upvotes, average rating and the top product — never an individual product record. Thin cells are suppressed. group_by enum: `topic_month`, `topic_year`, `topic`. Sort enum: `period_desc`, `period_asc`, `launch_count_desc`, `sum_votes_desc`.
Required params: None
/datasets/reddit-trending/searchapiKey2 credits/requestSearches daily snapshots of each tracked subreddit's hot-feed post order, stored in a search index (one document per subreddit × snapshot × rank) so history accumulates. With no `date` the latest snapshot is returned (today's trending); pair `subreddit` with `sort=date_desc` for a subreddit's trending history over time. There is no score or comment-count field — the underlying credential-free scraper does not expose vote counts, so `rank` reflects Reddit's own hot-feed order rather than a locally computed score.
Required params: None
/datasets/sec-companies/facetsapiKey1 credit/requestReturns terms-aggregation counts for one facet of the SEC companies dataset, scoped to the same filters as search. Facet enum: `sic`, `sic_description`, `exchange`, `state_of_incorporation`, `entity_type`, `reporting_currency`, `revenue_band`, `forms_filed`. `revenue_band` buckets latest-annual revenue into: `unknown`, `under_1m`, `1m_10m`, `10m_100m`, `100m_1b`, `1b_10b`, `over_10b`.
Required params: facet:query
/datasets/sec-companies/financials/{cik}apiKey1 credit/requestReturns a company's normalized financial-statement history (income statement, balance sheet, cash flow) from the SEC companies dataset, newest fiscal year first. An unknown CIK or a company with no XBRL data returns an empty series rather than a 404 — most filers without a current ticker have no financial-statement history at all. `lines` keys are the same normalized concept names the live `/sec/financials` endpoint uses (e.g. `revenue`, `net_income`, `total_assets`); `ratios` keys include `gross_margin`, `operating_margin`, `net_margin`, `revenue_growth_yoy`, `current_ratio`, `debt_to_equity`, `free_cash_flow` where derivable. statement enum: `income`, `balance`, `cash_flow`. period enum: `annual`, `quarterly`.
Required params: cik:path
/datasets/sec-companies/insider/{cik}apiKey1 credit/requestReturns a company's insider (Form 3/4/5) transaction history from the SEC companies dataset, most recent transaction first. An unknown CIK or a company with no reported transactions returns an empty series rather than a 404.
Required params: cik:path
/datasets/sec-companies/items/{cik}apiKey1 credit/requestReturns one SEC-reporting company by CIK from dataset id `sec-companies`, including its filing-history summary, financial-statement rollups, and trailing-90-day insider-activity summary. Returns 404 when the CIK is not in the dataset.
Required params: cik:path
/datasets/sec-companies/searchapiKey2 credits/requestSearches SEC-reporting companies stored in a search index — normalized filing history, financial-statement rollups (latest annual/quarterly revenue, net income, total assets) and trailing-90-day insider (Form 3/4/5) activity. Sort enum: `relevance`, `name_asc`, `revenue_desc`, `net_income_desc`, `filing_recent_desc`, `insider_activity_desc`. `entity_type`, `sic`, `sic_description`, `exchange`, and `state_of_incorporation` are open filters over the exact values EDGAR reports for each filer (not a fixed enum) — discover real values via the matching facet.
Required params: None
/datasets/sec-institutional-positions/facetsapiKey1 credit/requestReturns terms-aggregation counts for one facet of the SEC institutional positions dataset, scoped to the same filters as search. Facet enum: `manager`, `issuer`.
Required params: facet:query
/datasets/sec-institutional-positions/searchapiKey2 credits/requestSearches institutional investment managers' quarterly 13F portfolio holdings stored in a search index. Filter by manager_cik for a manager's full reported portfolio (an exact, reliable filter), or by issuer_name/cusip for a best-effort view of which managers reported a position in an issuer — SEC publishes no authoritative CUSIP-to-CIK mapping, so the issuer side is never a guaranteed-resolved join. Sort enum: `value_desc`, `value_asc`, `shares_desc`.
Required params: None
/datasets/steam-achievements/searchapiKey2 credits/requestSearches per-game global achievement unlock percentages (one document per appid × achievement). Pass `app_id` to list a game's achievements. Sort enum: `percent_desc` (most-unlocked first, default), `percent_asc` (rarest first), `rank_asc`.
Required params: None
/datasets/steam-charts/searchapiKey2 credits/requestSearches daily snapshots of Steam's player-count and sales charts, stored in a search index (one document per chart × country × snapshot × rank) so history accumulates. Charts: `most_played` (weekly peak concurrent), `concurrent` (live concurrent players), `top_sellers` (weekly sales; country-specific). With no `date` the latest snapshot is returned (today's chart); pair `app_id` with `sort=date_desc` for an app's rank/players over time. Country is `global` for the player-count charts or an ISO code (e.g. `us`) for `top_sellers`. Sort enum: `rank`, `rank_desc`, `date_desc`.
Required params: None
/datasets/steam-games/facetsapiKey1 credit/requestReturns terms aggregation counts for the Steam games dataset. Facet enum: `type`, `developer`, `publisher`, `genres`, `categories`, `tags`, `primary_tag`, `price_tier`, `review_tier`, `owners_bucket`, `release_year`, `run_id`, `is_free`, `coming_soon`, `platform_windows`, `platform_mac`, `platform_linux`. price_tier enum: `free`, `under5`, `5to15`, `15to30`, `30to60`, `over60`. review_tier enum: `overwhelmingly_positive`, `very_positive`, `positive`, `mostly_positive`, `mixed`, `mostly_negative`, `negative`, `very_negative`, `overwhelmingly_negative`, `insufficient`.
Required params: facet:query
/datasets/steam-games/items/{appid}apiKey1 credit/requestReturns one enriched Steam catalog record by appid from dataset id enum value `steam-games`.
Required params: appid:path
/datasets/steam-games/searchapiKey2 credits/requestSearches enriched public Steam catalog records stored in a search index. price_tier enum: `free`, `under5`, `5to15`, `15to30`, `30to60`, `over60`. review_tier enum: `overwhelmingly_positive`, `very_positive`, `positive`, `mostly_positive`, `mixed`, `mostly_negative`, `negative`, `very_negative`, `overwhelmingly_negative`, `insufficient`. Sort enum: `relevance`, `owners_desc`, `reviews_desc`, `review_score_desc`, `ccu_desc`, `metacritic_desc`, `price_asc`, `price_desc`, `release_desc`, `release_asc`.
Required params: None
/datasets/steam-news/searchapiKey2 credits/requestSearches Steam news + announcements for tracked apps (one document per appid × gid; the latest items per app are kept). Filter by `app_id` for a single game's news, or full-text `q` over the title + contents. Sort enum: `date_desc` (newest first, default), `date_asc`.
Required params: None
/datasets/steam-playercounts/searchapiKey2 credits/requestSearches the daily concurrent-player time series for tracked games (one document per appid × day). Pair `app_id` with `sort=date_desc` for a game's player-count history, or pass `date` for one day's snapshot. Sort enum: `date_desc` (default), `date_asc`, `players_desc`.
Required params: None
/datasets/steam-prices/searchapiKey2 credits/requestSearches the daily price time series for priced games (one document per appid × day; integer cents). Pair `app_id` with `sort=date_desc` for a game's price history, or pass `date` for one day's snapshot. Sort enum: `date_desc` (default), `date_asc`, `price_asc`, `price_desc`, `discount_desc`.
Required params: None
/datasets/steam-reviews/searchapiKey2 credits/requestSearches the stored Steam review corpus (the most-helpful reviews per game; one document per appid × recommendation). Full-text `q` over the review body, filter by `app_id`, `language`, or `voted_up` (positive/negative). Sort enum: `votes_desc` (most-helpful first, default), `weighted_desc`, `date_desc`.
Required params: None
/datasets/techstack/facetsapiKey1 credit/requestReturns distribution counts over the website tech-stack index (dataset id enum value `techstack`), honoring the same filters as search — the technology / category market-share view. Facet enum: `technology`, `category`, `cms`, `ecommerce`, `cdn`, `web_server`, `server_language`, `analytics`, `tld`, `render_tier`, `seed_source`.
Required params: facet:query
/datasets/techstack/items/{domain}apiKey1 credit/requestReturns one site by its domain from dataset id enum value `techstack`, including every detected technology (name, categories, confidence, version, evidence) plus the CMS / e-commerce / CDN / web-server / server-language rollups. Returns 404 when the domain is not in the index.
Required params: domain:path
/datasets/techstack/searchapiKey2 credits/requestSearches the website tech-stack index (dataset id enum value `techstack`) — one record per site listing the web technologies it is built with (frameworks, CMS, e-commerce, analytics, CDNs, servers, and more), BuiltWith / Wappalyzer-style. The reverse-index filters are the point: repeat `technology` to require several at once (AND), `any_of` to match at least one (OR), and `not` to exclude — e.g. sites on `Shopify` and `Klaviyo` but not `Recharge`. Sort enum: `relevance`, `rank_asc`, `tech_count_desc`, `domain_asc`, `crawled_desc`. render_tier enum: `http`, `browser`.
Required params: None
/datasets/trustmrr/facetsapiKey1 credit/requestReturns terms-aggregation counts for one facet of the TrustMRR dataset, scoped to the same filters as search. Facet enum: `category`, `country`, `payment_provider`, `target_audience`, `business_type`, `tech`, `channels`, `listing_tier`, `status`, `on_sale`, `is_sponsored`, `tags`.
Required params: facet:query
/datasets/trustmrr/history/{slug}apiKey1 credit/requestReturns a startup's daily time-series of payment-provider-verified metrics — MRR, all-time revenue, last-30-days revenue, 30-day and 12-month traffic, 30-day growth, for-sale flag, asking price, valuation multiple, deal score and offer count — one point per day in chronological order (oldest first). The series accrues one point per calendar day, so a recently discovered startup returns a short or empty series rather than a 404.
Required params: slug:path
/datasets/trustmrr/items/{slug}apiKey1 credit/requestReturns one startup record by slug from the TrustMRR dataset (dataset id `trustmrr`), including verified revenue/MRR, traffic, growth, category, tech stack, marketing channels and acquisition-marketplace fields.
Required params: slug:path
/datasets/trustmrr/searchapiKey2 credits/requestSearches public startups with payment-provider-verified revenue and MRR, stored in a search index. Filter by category, country, payment provider, target audience, tech, marketing channel, listing tier and for-sale status, and by revenue/MRR/traffic/growth/multiple/asking-price ranges. Sort enum: `relevance`, `mrr_desc`, `revenue_desc`, `revenue_30d_desc`, `traffic_desc`, `growth_desc`, `deal_score_desc`, `price_asc`, `price_desc`, `multiple_asc`, `founded_desc`. status enum: `active`, `removed`.
Required params: None
/datasets/x-users/facetsapiKey1 credit/requestReturns terms aggregation counts for the X users dataset. Facet enum: `is_blue_verified`, `has_bio`, `has_external_url`, `source_tier`.
Required params: facet:query
/datasets/x-users/items/{username}apiKey1 credit/requestReturns one X user record by username from dataset id enum value `x-users`.
Required params: username:path
/datasets/x-users/searchapiKey2 credits/requestSearches public X (Twitter) user profiles stored in a search index. Sort enum: `relevance`, `followers_desc`, `followers_asc`, `crawled_at_desc`, `crawled_at_asc`, `created_at_desc`, `created_at_asc`.
Required params: None
| Endpoint | API path | Method | Credits | Required params | Docs | Playground |
|---|---|---|---|---|---|---|
| List stored scraped datasets | /datasets | GET | 0 credits/request | None | View docs | Try endpoint |
| Facet the Airbnb markets dataset | /datasets/airbnb-markets/facets | GET | 1 credit/request | facet:query | View docs | Try endpoint |
| Get an Airbnb market from the dataset | /datasets/airbnb-markets/items/{country} | GET | 1 credit/request | country:path | View docs | Try endpoint |
| Airbnb market density near a coordinate | /datasets/airbnb-markets/nearby | GET | 2 credits/request | lat:query, lon:query, radius_m:query | View docs | Try endpoint |
| Search the Airbnb markets dataset | /datasets/airbnb-markets/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Facet Apple Podcasts shows dataset | /datasets/apple-podcasts-shows/facets | GET | 1 credit/request | facet:query | View docs | Try endpoint |
| Get an Apple Podcasts show from dataset | /datasets/apple-podcasts-shows/items/{id} | GET | 1 credit/request | id:path | View docs | Try endpoint |
| Search Apple Podcasts shows dataset | /datasets/apple-podcasts-shows/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Search the app-charts dataset | /datasets/apps-charts/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Search the app-reviews dataset | /datasets/apps-reviews/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Search the apps-intelligence dataset | /datasets/apps/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Facet the Box Office Mojo dataset | /datasets/boxofficemojo/facets | GET | 1 credit/request | facet:query | View docs | Try endpoint |
| Get a Box Office Mojo title from the dataset | /datasets/boxofficemojo/items/{title_id} | GET | 1 credit/request | title_id:path | View docs | Try endpoint |
| Search the Box Office Mojo dataset | /datasets/boxofficemojo/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Get recent Chrome Web Store item changes | /datasets/chrome-extensions/changes | GET | 1 credit/request | None | View docs | Try endpoint |
| Facet the Chrome Web Store dataset | /datasets/chrome-extensions/facets | GET | 1 credit/request | facet:query | View docs | Try endpoint |
| Get Chrome Web Store item history | /datasets/chrome-extensions/history/{id} | GET | 1 credit/request | id:path | View docs | Try endpoint |
| Get a Chrome Web Store dataset item | /datasets/chrome-extensions/items/{id} | GET | 1 credit/request | id:path | View docs | Try endpoint |
| Get Chrome Web Store dataset metrics | /datasets/chrome-extensions/metrics | GET | 1 credit/request | None | View docs | Try endpoint |
| Search the Chrome Web Store dataset | /datasets/chrome-extensions/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Get trending Chrome Web Store items | /datasets/chrome-extensions/trending | GET | 2 credits/request | None | View docs | Try endpoint |
| Search the TikTok creators dataset | /datasets/creators/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Facet the GitHub users dataset | /datasets/github-users/facets | GET | 1 credit/request | facet:query | View docs | Try endpoint |
| Get a GitHub user from the dataset | /datasets/github-users/items/{login} | GET | 1 credit/request | login:path | View docs | Try endpoint |
| Search nearby GitHub users | /datasets/github-users/nearby | GET | 2 credits/request | lat:query, lon:query, radius_m:query | View docs | Try endpoint |
| Search the GitHub users dataset | /datasets/github-users/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Facet Goodreads authors dataset | /datasets/goodreads-authors/facets | GET | 1 credit/request | facet:query | View docs | Try endpoint |
| Get a Goodreads author from dataset | /datasets/goodreads-authors/items/{id} | GET | 1 credit/request | id:path | View docs | Try endpoint |
| Search Goodreads authors dataset | /datasets/goodreads-authors/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Facet Goodreads books dataset | /datasets/goodreads-books/facets | GET | 1 credit/request | facet:query | View docs | Try endpoint |
| Get a Goodreads book from dataset | /datasets/goodreads-books/items/{id} | GET | 1 credit/request | id:path | View docs | Try endpoint |
| Search Goodreads books dataset | /datasets/goodreads-books/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Facet stored Google Maps businesses | /datasets/google-map-businesses/facets | GET | 1 credit/request | facet:query | View docs | Try endpoint |
| Get a stored Google Maps business | /datasets/google-map-businesses/items/{place_id} | GET | 1 credit/request | place_id:path | View docs | Try endpoint |
| Search nearby stored Google Maps businesses | /datasets/google-map-businesses/nearby | GET | 2 credits/request | lat:query, lon:query, radius_m:query | View docs | Try endpoint |
| Search stored Google Maps businesses | /datasets/google-map-businesses/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Facet the US housing markets dataset | /datasets/housing-markets/facets | GET | 1 credit/request | facet:query | View docs | Try endpoint |
| Get a US housing market record from the dataset | /datasets/housing-markets/items/{region_type}/{table_id} | GET | 1 credit/request | region_type:path, table_id:path | View docs | Try endpoint |
| Search the US housing markets dataset | /datasets/housing-markets/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Facet the Instagram users dataset | /datasets/instagram-users/facets | GET | 1 credit/request | facet:query | View docs | Try endpoint |
| Get an Instagram user from the dataset | /datasets/instagram-users/items/{username} | GET | 1 credit/request | username:path | View docs | Try endpoint |
| Search the Instagram users dataset | /datasets/instagram-users/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Find which companies are hiring | /datasets/jobs/companies | GET | 1 credit/request | None | View docs | Try endpoint |
| Get a single company by board id | /datasets/jobs/companies/{id} | GET | 1 credit/request | id:path | View docs | Try endpoint |
| Facet the jobs dataset (hiring market aggregates) | /datasets/jobs/facets | GET | 1 credit/request | None | View docs | Try endpoint |
| Get a single posting from the jobs dataset | /datasets/jobs/items/{id} | GET | 1 credit/request | id:path | View docs | Try endpoint |
| Find postings near a coordinate | /datasets/jobs/nearby | GET | 1 credit/request | lat:query, lon:query | View docs | Try endpoint |
| Search the jobs dataset (all companies' live postings) | /datasets/jobs/search | GET | 1 credit/request | None | View docs | Try endpoint |
| Facet the journalists dataset | /datasets/journalists/facets | GET | 1 credit/request | facet:query | View docs | Try endpoint |
| Get a journalist from the journalists dataset | /datasets/journalists/items/{outlet}/{slug} | GET | 1 credit/request | outlet:path, slug:path | View docs | Try endpoint |
| Search the journalists dataset | /datasets/journalists/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Facet the Numbeo cities dataset | /datasets/numbeo-cities/facets | GET | 1 credit/request | facet:query | View docs | Try endpoint |
| Get a Numbeo city from the dataset | /datasets/numbeo-cities/items/{slug} | GET | 1 credit/request | slug:path | View docs | Try endpoint |
| Search the Numbeo cities dataset | /datasets/numbeo-cities/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Get a Numbeo country from the dataset | /datasets/numbeo-countries/items/{country} | GET | 1 credit/request | country:path | View docs | Try endpoint |
| Search the Numbeo countries dataset | /datasets/numbeo-countries/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Facet PitchBook advisors dataset | /datasets/pitchbook-advisors/facets | GET | 1 credit/request | facet:query | View docs | Try endpoint |
| Get a PitchBook advisor from dataset | /datasets/pitchbook-advisors/items/{id} | GET | 1 credit/request | id:path | View docs | Try endpoint |
| Search PitchBook advisors dataset | /datasets/pitchbook-advisors/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Facet PitchBook companies dataset | /datasets/pitchbook-companies/facets | GET | 1 credit/request | facet:query | View docs | Try endpoint |
| Get a PitchBook company from dataset | /datasets/pitchbook-companies/items/{id} | GET | 1 credit/request | id:path | View docs | Try endpoint |
| Search PitchBook companies dataset | /datasets/pitchbook-companies/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Facet PitchBook funds dataset | /datasets/pitchbook-funds/facets | GET | 1 credit/request | facet:query | View docs | Try endpoint |
| Get a PitchBook fund from dataset | /datasets/pitchbook-funds/items/{id} | GET | 1 credit/request | id:path | View docs | Try endpoint |
| Search PitchBook funds dataset | /datasets/pitchbook-funds/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Facet PitchBook investors dataset | /datasets/pitchbook-investors/facets | GET | 1 credit/request | facet:query | View docs | Try endpoint |
| Get a PitchBook investor from dataset | /datasets/pitchbook-investors/items/{id} | GET | 1 credit/request | id:path | View docs | Try endpoint |
| Search PitchBook investors dataset | /datasets/pitchbook-investors/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Facet PitchBook limited partners dataset | /datasets/pitchbook-limited-partners/facets | GET | 1 credit/request | facet:query | View docs | Try endpoint |
| Get a PitchBook limited partner from dataset | /datasets/pitchbook-limited-partners/items/{id} | GET | 1 credit/request | id:path | View docs | Try endpoint |
| Search PitchBook limited partners dataset | /datasets/pitchbook-limited-partners/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Facet PlayStation games dataset | /datasets/playstation-games/facets | GET | 1 credit/request | facet:query | View docs | Try endpoint |
| Get a PlayStation game from dataset | /datasets/playstation-games/items/{product_id} | GET | 1 credit/request | product_id:path | View docs | Try endpoint |
| Search PlayStation games dataset | /datasets/playstation-games/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Facet the Product Hunt makers dataset | /datasets/producthunt-makers/facets | GET | 1 credit/request | facet:query | View docs | Try endpoint |
| Get a Product Hunt maker from the dataset | /datasets/producthunt-makers/items/{username} | GET | 1 credit/request | username:path | View docs | Try endpoint |
| Search the Product Hunt makers dataset | /datasets/producthunt-makers/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Facet the Product Hunt products dataset | /datasets/producthunt-products/facets | GET | 1 credit/request | facet:query | View docs | Try endpoint |
| Get a Product Hunt product from the dataset | /datasets/producthunt-products/items/{slug} | GET | 1 credit/request | slug:path | View docs | Try endpoint |
| Search the Product Hunt products dataset | /datasets/producthunt-products/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Facet the Product Hunt trends dataset | /datasets/producthunt-trends/facets | GET | 1 credit/request | facet:query | View docs | Try endpoint |
| Search the Product Hunt trends dataset | /datasets/producthunt-trends/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Search the reddit-trending dataset | /datasets/reddit-trending/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Facet the SEC companies dataset | /datasets/sec-companies/facets | GET | 1 credit/request | facet:query | View docs | Try endpoint |
| Get a SEC company's financial-statement history | /datasets/sec-companies/financials/{cik} | GET | 1 credit/request | cik:path | View docs | Try endpoint |
| Get a SEC company's insider-transaction history | /datasets/sec-companies/insider/{cik} | GET | 1 credit/request | cik:path | View docs | Try endpoint |
| Get a company from the SEC companies dataset | /datasets/sec-companies/items/{cik} | GET | 1 credit/request | cik:path | View docs | Try endpoint |
| Search the SEC companies dataset | /datasets/sec-companies/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Facet the SEC institutional positions dataset | /datasets/sec-institutional-positions/facets | GET | 1 credit/request | facet:query | View docs | Try endpoint |
| Search the SEC institutional positions dataset | /datasets/sec-institutional-positions/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Search steam-achievements dataset | /datasets/steam-achievements/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Search the steam-charts dataset | /datasets/steam-charts/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Facet the Steam games dataset | /datasets/steam-games/facets | GET | 1 credit/request | facet:query | View docs | Try endpoint |
| Get a Steam game from the dataset | /datasets/steam-games/items/{appid} | GET | 1 credit/request | appid:path | View docs | Try endpoint |
| Search the Steam games dataset | /datasets/steam-games/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Search the steam-news dataset | /datasets/steam-news/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Search steam-playercounts dataset | /datasets/steam-playercounts/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Search the steam-prices dataset | /datasets/steam-prices/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Search the steam-reviews dataset | /datasets/steam-reviews/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Facet the website tech-stack dataset | /datasets/techstack/facets | GET | 1 credit/request | facet:query | View docs | Try endpoint |
| Get a site from the website tech-stack dataset | /datasets/techstack/items/{domain} | GET | 1 credit/request | domain:path | View docs | Try endpoint |
| Search the website tech-stack dataset | /datasets/techstack/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Facet the TrustMRR dataset | /datasets/trustmrr/facets | GET | 1 credit/request | facet:query | View docs | Try endpoint |
| Get a TrustMRR startup's daily history | /datasets/trustmrr/history/{slug} | GET | 1 credit/request | slug:path | View docs | Try endpoint |
| Get a TrustMRR startup from the dataset | /datasets/trustmrr/items/{slug} | GET | 1 credit/request | slug:path | View docs | Try endpoint |
| Search the TrustMRR dataset | /datasets/trustmrr/search | GET | 2 credits/request | None | View docs | Try endpoint |
| Facet the X users dataset | /datasets/x-users/facets | GET | 1 credit/request | facet:query | View docs | Try endpoint |
| Get an X user from the dataset | /datasets/x-users/items/{username} | GET | 1 credit/request | username:path | View docs | Try endpoint |
| Search the X users dataset | /datasets/x-users/search | GET | 2 credits/request | None | View docs | Try endpoint |