Product Hunt API: A Commercial-Use Guide (2026)
How to extract Product Hunt launch, product, and maker data via API, plus what to check on commercial-use terms before shipping a startup-research product.
Product Hunt is one of the best public signals for early-stage products: daily launches, rankings, categories, makers, and community reactions, all in one place. If you are building startup-research tooling, a competitor radar, or an enrichment pipeline, you will want that data as JSON rather than scraped HTML. This guide covers what a Product Hunt API gives you and — just as important — what to check on commercial-use terms before you build a business on it.
What you can extract
A Product Hunt scraper API exposes the public surfaces of the site as documented endpoints that return structured JSON:
- Search and daily launches, with ranks and scores where supported
- Product detail pages, taglines, topics, and media
- Makers, comments, and detailed reviews
- Categories and category products
- Leaderboards and alternatives
That covers the common workflows: monitoring daily launches, discovering AI and SaaS startups, enriching a startup database, and tracking competitor launches. The Product Hunt research use case maps those flows step by step.
The commercial-use question
This is where teams get tripped up, and it is worth being precise. Commercial-use terms for Product Hunt data are not granted by whoever provides the API — they come from three independent sources, and all three apply at once:
- Product Hunt's own platform terms and any API or licensing policy. This is the controlling source for what Product Hunt itself permits you to do with its data and brand.
- Applicable law and third-party rights in your jurisdiction — for example, how personal data and database rights are treated where you operate.
- The terms of whatever tool returns the data (here, the Crawlora terms) governing how you may use the structured output.
Crawlora is a tool for structured public web data extraction; it is not the official Product Hunt API, and it does not grant Product Hunt's rights. So before you put Product Hunt data into a commercial product, review platform terms, applicable law, and the data-provider terms together, and treat the platform's own terms as the deciding factor for what the platform allows. When in doubt, get legal review for your specific use case — a blog post is not legal advice.
A responsible default
A practical, low-risk posture: collect only public data, respect the platform's terms and rate expectations, attribute sources where appropriate, and avoid republishing wholesale. Use the data to inform research and product decisions rather than to mirror Product Hunt itself.
Build it
Run the Product Hunt search endpoint in the Playground, read parameters and response schemas in the API docs, and compare credit costs on the pricing page. For the full workflow design, start from the Product Hunt research use case. If you are also researching the market around those launches, pair it with the Google Finance API for public company and market context.
Related reading
- Best Web Scraping APIs in 2026: How to Choose — how structured platform APIs compare to generic scrapers.
- Getting Google Finance Data via API — add public company and market context to your research pipeline.