Product Hunt Scraper · Daily, Weekly, Monthly

Product Hunt Scraper

Scrape Product Hunt launches from the daily, weekly or monthly leaderboard and get clean structured data: name, tagline, topics, rank, score and comment count. No maker names or emails are collected.

What you can do with it

• Track what's trending: pull today's or this week's top launches, ranked, with their topics.
• Research a niche: filter the saved dataset by topics to see every recent launch in AI, developer tools, productivity and more.
• Build a digest: schedule a daily run and send the top launches to Slack, email or a newsletter.
• Study momentum over time: run the monthly leaderboard periodically to see which launches keep climbing.

Input

Field	What it does
Leaderboard period	daily, weekly or monthly.
Maximum number of launches	The run stops once this many launches are saved. One leaderboard page carries about 20 launches; older pages are read automatically to reach this number.

Output

One record per launch:

{
  "id": "1266109",
  "url": "https://www.producthunt.com/products/fastrouter-ai",
  "name": "FastRouter.ai",
  "tagline": "Route requests to the right LLM for cost, latency & quality",
  "topics": ["API", "Developer Tools", "Artificial Intelligence"],
  "score": 184,
  "commentsCount": 12,
  "dailyRank": "1",
  "weeklyRank": "2",
  "monthlyRank": "57",
  "launchedAt": "2026-10-05T00:01:00-07:00"
}

Export the dataset as JSON, CSV or Excel, or read it through the Apify API.

Good to know

• Launches are read from the leaderboard pages themselves (daily, weekly or monthly), starting from the most recently completed period and going backward as needed to reach maxItems.
• score is Product Hunt's own ranking score for the launch, close to but not always identical to the vote count shown on the site.
• Maker and voter names are never collected: only the launch itself (name, tagline, topics, rank, score) is exported.
• A residential proxy and a real browser are used because the site blocks plain requests; this makes each run a little slower than a typical scraper, but reliable.
• This is an unofficial tool, not affiliated with Product Hunt. Check the site terms that apply to your use.

Why this one

• Daily, weekly or monthly leaderboard in one actor. The period field picks the board and the matching rank is in dailyRank, weeklyRank or monthlyRank.
• No maker names or emails. Only product data is collected: name, tagline, topics, score and comments count.

Who uses it

• Monitoring: schedule a run and compare records between runs on their id.
• Analysis: every record has the same fields, ready for a spreadsheet, a database or a dashboard.

Pricing

Pay per result: $1.10 per 1,000 launches, plus $0.01 per run start with the default 4 GB of memory. For example, 100 launches cost about $0.12. You only pay for the launches you receive, and platform usage is included in that price. Store discounts apply automatically on paid Apify plans: up to 20% off every event on the higher tiers.

Run it from your code

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('bibian/producthunt-launches-scraper').call({
  period: 'weekly',
  maxItems: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Python:

from apify_client import ApifyClient

client = ApifyClient(token="<APIFY_TOKEN>")
run = client.actor("bibian/producthunt-launches-scraper").call(run_input={
    "period": "weekly",
    "maxItems": 50
})
items = client.dataset(run["defaultDatasetId"]).list_items().items

Monitor new launches daily and connect your tools

1. Schedule it. Schedule a daily run with period set to daily, or a weekly one with weekly, and keep dailyRank, weeklyRank or monthlyRank to see how launches move.
2. Push the results where you work. Add an Apify integration or a webhook to the task: Google Sheets, Slack, Make, Zapier, n8n or your own endpoint, triggered at the end of every run.
3. Call it from your stack. The API and the JavaScript and Python clients return the dataset as JSON, CSV or Excel.
4. Let an AI agent use it. Through the Apify MCP server, assistants such as Claude or ChatGPT can search the Store, read this page and run the actor as a tool.

Frequently asked questions

Do I need an account, cookies or a proxy for Product Hunt? No. The actor reads publicly visible pages only.

Which formats can I export? JSON, CSV, Excel, XML, HTML table or RSS, from the dataset page or through the API.

Is it legal to scrape? The actor collects publicly visible launch data and respects the robots.txt rules of the site. How you use the data is your responsibility: check the site's terms and the laws that apply to you, for example the GDPR.

Need another site, a missing field or a new filter? Open an issue in the Issues tab and say what you need, with an example URL if you have one. Requests are read, and the most asked ones are built next.

Need a custom version built for you? I also build private versions and custom scrapers: another site, extra fields, a specific output format, or delivery straight to Google Sheets, a database or a webhook. Open an issue in the Issues tab with what you need and an example URL, and I will reply there with a quote.

Something does not work? Open an issue in the Issues tab. Every public actor is test-run daily and the broken ones are repaired.

Did this save you time? A short review on the Store page helps other people find the actor, and tells me what to improve next.

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