Best Google Maps Scraping APIs in 2026: How to Choose

The "best" Google Maps scraping API depends on what you need: clean place JSON for a lead-gen or local-intelligence workflow, deep review extraction, a generic scraper for arbitrary pages, or the official Places API with its quotas and scope limits. This guide explains the official API and its limits, breaks the tools into categories, ranks the main options with strengths and limits, and shows how to compare on real cost.

The official Google Places API (and its limits)

Google's first-party Places API is reliable (≈99.9% uptime) and fast (sub-second), and it is the sanctioned route for Google-blessed, scoped use. But for catalog-wide research, lead lists, and review mining it hits walls:

• Reviews are capped. Place Details returns at most about five reviews per place unless you own the listing — so review analysis needs a dedicated scraper.
• Cost at scale. It is priced per request with field-based tiers; at tens of thousands of records a month, scraping alternatives can save $8,000–$15,000/month versus Places API pricing.
• Scope. Fields, quotas, and rate limits are bounded, and it is built around your project's terms rather than open-web parity.

That gap — reviews, lead volume, and cost — is why teams scrape public Maps data instead. Collect only public business data and review Google's terms; see is web scraping legal in 2026.

The options, by category

The most common buying mistake is comparing on price across these — they do different amounts of work, and Maps' infinite scroll plus the per-viewport result cap is real engineering if you take it on yourself.

What to evaluate

• Output: normalized JSON vs. raw HTML you parse and maintain through layout changes.
• Coverage: search by query/location, place details, reviews, hours, phone, website, coordinates.
• Field depth: some APIs return 40+ fields per place, others only the basics — check what you actually need.
• Pagination: Maps caps results per viewport; does the tool tile geography and dedupe by place ID for you?
• Reviews: how many per place, and can it pull recent reviews on a schedule?
• Anti-bot & proxies: handled behind the API, or your job.
• Cost per *successful* result and responsible-use constraints.

The best Google Maps scraping APIs in 2026

No single winner — pick by whether you want clean JSON with no upkeep, marketer-friendly delivery, deep reviews, or raw scale. Here is the landscape, then a closer look.

1. Crawlora — structured place JSON, no parser

For place data you can use immediately, Crawlora's Google Maps API returns normalized JSON for search and place details — no browser, selectors, or proxy pool to run:

curl -s -X POST "https://api.crawlora.net/api/v1/google/map/search" \
  -H "x-api-key: $CRAWLORA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "coffee shops in Austin, TX", "limit": 20}'

import os
import requests

resp = requests.post(
    "https://api.crawlora.net/api/v1/google/map/search",
    headers={"x-api-key": os.environ["CRAWLORA_API_KEY"]},
    json={"query": "coffee shops in Austin, TX", "limit": 20},
)
for place in resp.json()["data"]:
    print(place["name"], place["address"], place.get("place_id"))

{
  "code": 200,
  "msg": "OK",
  "data": [
    {
      "name": "Primi Italian",
      "place_id": "ChIJs3cv0KuvEmsRHcXYwNJ6GU0",
      "category": ["italian_restaurant"],
      "address": "168 Clarence St, Sydney NSW 2000, Australia",
      "latitude": -33.8701437,
      "longitude": 151.2056158
    }
  ]
}

Enrich any result with the place-details endpoint (GET /api/v1/google/map/place/{place_id}), and because Maps is one of dozens of supported platforms, the same key and JSON style cover Google Search and more. When to choose it: Maps is a primary source, you want documented JSON without maintaining parsers or a browser cluster, and you value a free tier (2,000 credits/month, no card). The trade-off: dedicated Maps vendors expose more exotic fields and bulk review windows.

2. Outscraper — marketer-friendly managed delivery

Outscraper productizes Maps extraction: specify categories and regions, get tabular output, with strong coverage of business listings and reviews. It is low-ops and well suited to lead lists. The trade-off is less room for custom code inside the extraction pipeline.

When to choose it: marketers and agencies who want "tell us the query" delivery without running infrastructure.

3. Apify — customizable Actors that beat the result cap

Apify's Google Maps Actors are the most flexible no-code-to-code path: grid-style coverage that bypasses the per-viewport result limit, 40+ fields per place, scheduling, webhooks, and a separate reviews Actor (review extraction is priced per 1,000). A small free credit covers ~1,000 places to start.

When to choose it: you want customizable, high-volume extraction with grids and enrichment, and are comfortable with the Actor model.

4. Bright Data — enterprise scale and recent-review windows

Bright Data pairs a massive proxy network (72M+ IPs) with a Google Maps API and ready-made datasets, including a window to collect recent reviews. Pricing is pay-as-you-go per result, dropping at premium tiers.

When to choose it: large-scale collection, difficult unblocking, or buying pre-aggregated Maps datasets.

5. Oxylabs — fast but fewer fields

Oxylabs' Maps scraper is quick and reliable but returns a smaller set of fields than the leaders, so confirm it covers what you need before committing.

When to choose it: simple, fast place lookups where basic fields suffice.

6. SerpApi & DataForSEO — local pack and SERP data

If you need the local pack from search results rather than full Maps profiles, SerpApi and DataForSEO return Google local/SERP results as JSON — handy for local-SEO tracking. See Best SERP APIs in 2026.

When to choose it: local-SEO and SERP workflows rather than deep place/review extraction.

7. ScraperAPI & Scrapfly — generic scrapers (you own the grid)

ScraperAPI and Scrapfly fetch arbitrary URLs past anti-bot defenses, but Maps pagination, geographic tiling, and dedupe are your algorithm — you get content to parse, not finished place records.

When to choose it: you already have Maps grid + dedup logic, or Maps is one of many arbitrary targets.

8. Official Places API — first-party, scoped

Covered above. Best when you need Google-sanctioned, scoped access and your volume and the ~5-reviews-per-place limit fit your use case.

Scraping reviews from Google Maps

Reviews are the most-requested Maps data and the place the official API is weakest: Place Details returns about five reviews per place unless you own the listing. To analyze sentiment or track review velocity across many businesses you need a scraper that pulls full review sets — Outscraper, Apify's reviews Actor, and Bright Data's review window are built for this, typically with a request per business and pagination handled for you. Treat reviewer names and text as potentially personal data and collect only what you need.

Pricing and cost per successful result

The official Places API is reliable but the most expensive at scale; dedicated Maps scrapers price per result (roughly $1.50–$5 per 1,000 places, dropping at higher tiers) and per 1,000 reviews. But compare on cost per successful, usable result:

• Field depth and the result cap. A cheap call that returns 8 fields or stops at ~120 results per search can cost more in extra requests and tiling than a richer one.
• Reviews are priced separately on most vendors — budget per 1,000 reviews if that is your workload.
• Free tiers (Crawlora 2,000 credits/month, plus small free credits from Apify and others) let you benchmark on real queries before paying.

See Best Web Scraping APIs in 2026 for the cross-category method.

When a structured Maps API fits

Choose a structured API when you want place data you can use immediately — for Google Maps lead generation, local business lead lists, market mapping, or local-SEO research — without maintaining DOM parsers, a browser cluster, or grid/dedup logic. See the Google Maps scraping API and test it in the Playground.

How to choose in four questions

1. Do you need structured JSON, or are you fine parsing HTML and building the search grid?
2. Does the official Places API cover your fields, review depth, and quota needs?
3. Is your priority clean lead records, deep reviews, or raw scale?
4. What is the cost per successful result at your volume, and what are the responsible-use constraints?

If you want clean place JSON with no upkeep and other platforms in one schema, a structured API like Crawlora fits; for marketer-friendly delivery or deep reviews, Outscraper or Apify; for raw scale, Bright Data.

Clean Google Maps place data, no browser cluster

Documented search and place-details endpoints returning normalized JSON, with proxies, scroll, and retries handled. 2,000 free credits a month, no card.

Try the PlaygroundGoogle Maps Scraping API

Sources

Next steps

Read the how-to-scrape-Google-Maps guide, browse the API docs, test a query in the Playground, and check pricing. For the broader market, see how to choose a web scraping API and ScraperAPI alternatives.