Infrastructure
Proxy routing, browser execution, retries, and usage controls are operational work.
Normalized JSONAPI-key usage trackingCredit-based pricingPlatform-specific APIs
Product Hunt Research API for Startup Intelligence
Track launches, makers, products, comments, reviews, upvotes, topics, and market signals from Product Hunt workflows.
The problem
Startup research needs structured launch signals, not more manual tabs
VCs, founders, startup researchers, agencies, and market intelligence teams need structured Product Hunt research API workflows for launches, makers, product positioning, comments, reviews, topics, and engagement signals. Manual research is hard to compare over time.
Normalization
Raw pages must become stable records before products and data teams can use them.
Product fit
Use-case landing pages should map directly to buyer workflows and internal data models.
Responsible use
Structured public web data workflows still need clear legal, privacy, and platform boundaries.
What you can collect
Structured data categories
Example fields may include public product, launch, maker, engagement, topic, comment, and review-related fields where supported.
product name
tagline
description
launch date
maker or team data, if public and supported
upvotes
comments or reviews
topics and categories
product URL
website URL
ranking or list position
related launches
Relevant Crawlora APIs
Platform-specific endpoints for this workflow
Start from the platform page or endpoint docs, then test the same route in Playground before production integration.
Example workflow
From target definition to product output
Crawlora keeps the scraping execution layer behind documented APIs so your product can focus on storage, analysis, alerts, and user workflows.
01
Define research criteria
Choose topics, keywords, categories, product lists, or launch date windows.
02
Collect Product Hunt data
Use Crawlora Product Hunt endpoints for products, searches, topics, launches, makers, comments, or reviews.
03
Normalize startup signals
Store product, launch, maker, topic, engagement, and messaging fields together.
04
Route insights
Send results into a CRM, research database, newsletter, investment pipeline, or AI summarizer.
API example
Illustrative Product Hunt search request
Illustrative example using the documented Product Hunt search route. Check Docs for current query parameters and response fields.
Request
Illustrative exampleGET https://api.crawlora.net/api/v1/producthunt/search?q=ai%20agents
x-api-key: YOUR_API_KEYIllustrative response
Illustrative example{
"code": 200,
"msg": "OK",
"data": [
{
"name": "Example product",
"tagline": "Example launch tagline",
"url": "https://www.producthunt.com/products/example"
}
]
}What you can build
Products, dashboards, and workflows this data can power
These are practical workflow patterns for SaaS products, data teams, AI agents, agencies, growth teams, and internal intelligence tools.
Startup discovery dashboard
Track launches, products, categories, and engagement signals.
VC sourcing workflow
Route public startup signals into research and pipeline tools.
Competitor launch tracker
Monitor how competitors position new products and campaigns.
Product trend report
Summarize topics, categories, and product messaging shifts.
Market research database
Create searchable startup intelligence from public launch records.
AI startup summarizer
Generate product summaries, category tags, and market notes from structured data.
Build or buy
Why not build it yourself?
Custom scrapers can work for prototypes. Production web data workflows need infrastructure, monitoring, stable output, and clear failure behavior.
| DIY approach | Crawlora approach |
|---|---|
| Build Product Hunt scraping and pagination | Use Product Hunt-specific documented API routes |
| Normalize products, makers, launches, and topics | Receive structured public Product Hunt records |
| Track updates and engagement manually | Schedule snapshots and compare normalized fields |
| Prepare raw pages for AI summaries | Use cleaner JSON as AI-ready research input |
Infrastructure
Explore the managed execution layer
Crawlora combines platform-specific APIs with managed proxy routing, browser-backed rendering, retries, rate limits, usage tracking, and scaling controls.
Responsible use
Use structured public web data responsibly
Use Product Hunt data for responsible founder, company, and market research. Do not use Crawlora to support spam outreach. Users are responsible for lawful and compliant outreach, privacy obligations, and platform requirements. Read Crawlora terms.
Related use cases
More structured web data workflows
Cross-link practical workflows that often share the same data infrastructure and product buyers.
FAQ
Product Hunt Research FAQ
Answers for developers and product teams evaluating Crawlora for this workflow.
Can Crawlora collect Product Hunt launch data?+
Yes. Crawlora includes Product Hunt endpoints for product, launch, category, maker, search, comment, and review workflows where supported.
Can I track products by topic?+
Product Hunt category and search workflows can support topic-based research. Check Docs for current endpoint parameters.
Can I use this for VC research?+
Yes, for responsible startup discovery and market intelligence workflows using public product and launch data.
Can I monitor competitors?+
Yes. You can track public launch pages, messaging, comments, reviews, and category signals over time.
Can I analyze comments or reviews?+
Crawlora includes Product Hunt comment and detailed review routes where supported. Confirm current response fields in Docs.
Can I use the data for outreach?+
Crawlora provides data infrastructure. Users are responsible for lawful and compliant outreach practices, consent rules, privacy obligations, and platform requirements.
How do I start testing?+
Open the Product Hunt platform page, inspect endpoint docs, and test a request in Playground before wiring the workflow into your product.
Start building
Start building with structured public web data
Browse Crawlora APIs, test a request in Playground, and move from scraping infrastructure work to production data workflows.