Product Hunt Scraper API
launches, ranks and reviews
Send a Product Hunt link and get it back as data: every launch on a leaderboard with votes, comments and its daily, weekly and monthly rank, or a product with its rating, reviews, links and launch history.
www.producthunt.com/{"type": "leaderboard","period": "today","launchCount": 40,"launches": [{"name": "Inbox Zero","tagline": "Open-source Superhuman alternative","votes": 277,"comments": 27,"dailyRank": 1},"… 39 more"]}
launches on today's leaderboard, each with votes and ranks
leaderboards: daily, weekly, monthly and yearly
per page, for a leaderboard or a product
for a page that can't be delivered
Every Product Hunt page you can send
Copy the link from your browser. Spidra works out what kind of page it is.
Leaderboards
The home page and the daily, weekly, monthly and yearly leaderboards: every launch in rank order with votes, comments, ranks and topics.
producthunt.com/leaderboard/weekly/2026/42Products
Description, website, followers, rating and its breakdown, categories, social and app links, alternatives and launch history.
producthunt.com/products/notionLaunches
A launch link returns the product, plus the launch itself with its votes, comments and ranks.
producthunt.com/posts/<slug>Reviews
The product summary and every review on the page, with rating, likes, dislikes and the alternatives the reviewer weighed.
producthunt.com/products/notion/reviewsTopics
A topic with its description, followers and launches.
producthunt.com/topics/developer-toolsProfiles
Public profiles: name, headline, followers, maker or not, X handle, counts and launches.
producthunt.com/@<username>One call, every field
Point the scrape call at a Product Hunt link. With JSON output and no prompt, the data comes back as it is, for 1 credit and no AI cost.
Ask for markdown instead and you get the readable page as text. The structured data still comes back, in its own structuredData field next to the markdown.
What comes back
Real responses from Spidra, trimmed for length. Nothing here is mocked up.
https://www.producthunt.com/{"source": "producthunt","type": "leaderboard","period": "today","title": "Product Hunt – The best new products in tech.","launchCount": 40,"launches": [{"id": "1276034","name": "Inbox Zero","tagline": "Open-source Superhuman alternative","slug": "inbox-zero-7","votes": 277,"comments": 27,"dailyRank": 1,"weeklyRank": 11,"monthlyRank": 260,"featuredAt": "2026-10-18T00:01:00-07:00","createdAt": "2026-10-18T00:01:00-07:00","topics": ["Email","Open Source","… 1 more"],"product": {"slug": "inbox-zero-2"},"url": "https://www.producthunt.com/posts/inbox-zero-7"},{"id": "1273961","name": "NitroStack","tagline": "Build, test, and deploy MCP servers in one place","slug": "nitrostack","votes": 299,"comments": 31,"dailyRank": 1,"weeklyRank": 9,"monthlyRank": 33,"featuredAt": "2026-10-17T00:01:00-07:00","createdAt": "2026-10-17T00:01:00-07:00","topics": ["Open Source","Developer Tools","… 1 more"],"product": {"slug": "nitrostack"},"url": "https://www.producthunt.com/posts/nitrostack"},"… 38 more"]}
Ranks the official API doesn't give you
Product Hunt's own API can sort launches, but it has no rank numbers, no review text and no product launch history. It also hides every other user's name and username, and its terms say it must not be used for commercial purposes without permission.
Spidra reads the public pages instead. Each launch on a leaderboard comes back with its votes, comments and its daily, weekly and monthly rank, the way the site shows them.
"period": "today","launchCount": 40,"launches": [{"name": "Inbox Zero","tagline": "Open-source Superhuman alternative","votes": 277,"comments": 27,"dailyRank": 1,"weeklyRank": 11,"monthlyRank": 260,"featuredAt": "2026-10-18T00:01:00-07:00","topics": ["Email","Open Source","Artificial Intelligence"],"url": "https://www.producthunt.com/posts/inbox-zero-7"}]
A product and every launch it has had
Companies launch on Product Hunt again and again. A product link returns the product's rating and its star breakdown, followers and categories, plus its launches, each with its own votes and ranks where Product Hunt shows them.
That makes it easy to see how a company's launches did over time, or to compare a new launch with the product's earlier ones.
"name": "Notion","followers": 18928,"reviewsCount": 1411,"rating": 4.83,"ratingBreakdown": [{ "stars": 5, "count": 1208 },{ "stars": 4, "count": 180 },{ "stars": 3, "count": 18 },{ "stars": 2, "count": 4 },{ "stars": 1, "count": 3 }],"launchesCount": 26,"launches": [{"name": "Notion: Context for your agents","votes": 182,"comments": 5,"dailyRank": 3,"weeklyRank": 28,"featuredAt": "2026-10-17T00:01:00-07:00"}]
Reviews with the reasons
Product Hunt reviews are structured: what the reviewer likes, what they dislike, and which alternatives they looked at. The official API gives only the average rating.
The reviews link returns every review on the page with those parts kept apart, so you can read what users praise and what they would change without parsing prose. Notion's reviews page returned 23 reviews in the live test.
"reviews": [{"type": "personal","rating": 4,"dislikes": "<p>The main issue is performance. When pages contain many blocks or large databases, the app can become slower than expected.</p><p>Offline support could also be better. Sometimes accessing notes without a stable internet connection is difficult. Improvements in speed, reliability, and offline usability would make the overall experience much stronger.</p>","author": "[redacted]","authorUsername": "[redacted]","createdAt": "2026-03-04T02:13:04-08:00"}]
Ask for the columns you want
Describe the answer as a prompt, a JSON schema or both, and it comes back in that shape. The AI reads a compact copy of the data Spidra already read, not the whole page.
{"launches": [{"name": "Inbox Zero","tagline": "Open-source Superhuman alternative","votes": 277},{"name": "NitroStack","tagline": "Build, test, and deploy MCP servers in one place","votes": 299},{"name": "Spira Maxima","tagline": "Video model that turns script into viral social media videos","votes": 639},"… 2 more"]}
This request cost 3 credits on October 18, 2026: 1 for the page plus the AI tokens. For the data as it is, use JSON output with no prompt for 1 credit.
What teams build with it
Product Hunt data feeds market research and launch planning.
Market and trend research
Track which topics and kinds of product launch and win each day, week and month.
See the use caseCompetitor tracking
Follow competitors' launches, votes, ratings and what reviewers say they like and dislike.
See the use caseLaunch benchmarks
See the votes and comments it took to reach the top 5 on a given day before you plan your own launch.
How Spidra compares
Most Product Hunt data comes from the official API or a handful of Apify actors. Here is how they differ.
| Official API | Apify (memo23) | Apify (maximedupre) | Spidra | |
|---|---|---|---|---|
| Price | Free, non-commercial use only | $0.80 per 1,000 rows, plus $0.01 per run | $1.80 per 1,000 launches | About 25 leaderboard pages per 1,000 launches: $0.10 down to $0.05 |
| Ranks | Order only, no rank numbers | Daily and weekly rank | Day, week, month and year rank | Daily, weekly and monthly rank on each launch |
| Other users | Redacted | Makers and commenters | Team and commenters | Public profiles at /@username |
| Review text | Average rating only | About 10 per product | Often empty in the sample | Every review on the reviews page |
| Output | GraphQL fields | Fixed fields | Fixed fields | Fixed fields, or your own schema or prompt |
| Beyond Product Hunt | None | Thousands of other actors | Thousands of other actors | Any website, crawl, search, PDFs, MCP |
Choose the official API if
Your project is non-commercial and you only need launches, votes and topics, or you have written permission from Product Hunt.
Choose Spidra if
You need ranks, product launch history and review text for a commercial project, and Product Hunt plus any other website on one API key.
Prices and API terms are as published on October 18, 2026 and may have changed. Spidra prices use 1 credit per page on each plan. Sources: Product Hunt API, Apify (memo23), Apify (maximedupre).
What to know before you build
We would rather you hear the limits from us than find them in production.
- One page per request: a leaderboard returns the launches that page shows (40 on the home page in the sample, 23 on a past daily leaderboard).
- Votes and ranks come back where Product Hunt shows them. Older launches in a product's history often have only a name and a link.
- Search, launch comments and upvote lists are not returned.
- Spidra reads Product Hunt as a visitor who isn't signed in. Notifications, drafts and private launches are not available, and no emails are collected.
- Profiles and reviews name real people. Handle personal data according to the privacy laws that apply to you, and don't use it for unsolicited outreach.
What it costs
1 credit per page. Pages that can't be delivered are free. Work out your monthly volume below.
Example: the home page plus 19 product pages a day is about 600 credits a month. Plain JSON output uses no AI tokens.
| Plan | Price | Product Hunt pages a month |
|---|---|---|
| Free | $0 | up to 300 (one time) |
| Starter | $19/mo | up to 5,000 |
| BuilderPopular | $79/mo | up to 25,000 |
| Pro | $249/mo | up to 125,000 |
Related scrapers
Same API key, same credits. See every scraper.
Questions, answered
Product Hunt
Yes, a free GraphQL API, but its docs say it must not be used for commercial purposes without permission. Since 2023 it also redacts every user other than the token holder, so makers and commenters come back as [REDACTED], and it has no rank numbers or review text. Spidra reads the public pages instead.
Send a Product Hunt link and see what comes back.
Get 300 free credits, no card, and read today's leaderboard from the dashboard or the API.
Spidra is not affiliated with, endorsed by, or sponsored by Product Hunt. Product Hunt is a trademark of its owner. Check Product Hunt's terms of service and the laws that apply to you before you collect data, and use the data responsibly.