Product Hunt Scraper

Product Hunt Scraper: launches, upvotes, makers and websites, no token needed

Pick a leaderboard period and a date range, or paste leaderboard, topic and product addresses straight in. Every launch comes back as a row with its name, tagline, upvote and comment counts, topics, rank, launch date and the product's own website.

Worth knowing before you plan around it: only the daily board is deep. The weekly, monthly and yearly boards publish a top 20 each, so a year of weeklies is about a thousand rows, not the whole year of launches.

🚀 What Product Hunt Scraper does

Three routes into the same data, and you can mix them in one run.

The leaderboards are the usual way in. Pick daily with a date range and you get one page per day, roughly 17 to 20 launches each. Pick weekly, monthly or yearly and you get the top 20 of each period your range touches.

Topics take the slug out of a Product Hunt topic address, like artificial-intelligence or developer-tools, and return what Product Hunt currently ranks first in that topic.

URLs are the escape hatch. Any leaderboard, topic or product address you paste is read in addition to whatever the date range generated.

No Product Hunt account is involved and there is no API token to get, so there is nothing to paste in and nothing that expires on you later.

📥 What you give it

Every field is optional. Run it with the input empty and you get one labelled sample row back.

{
  "leaderboardPeriod": "daily",
  "dateFrom": "2026-08-09",
  "dateTo": "2026-08-15",
  "maxItems": 100
}

A date that is not in one of those two shapes is silently replaced by the default window, which is the seven days ending yesterday. Nothing tells you it happened, so check launchedAt on the first few rows if your dates came out of another system.

📤 What you get back

A real row, from run crtA2I1AfUk9wDbze:

{
  "ok": true,
  "charged": true,
  "recordType": "product",
  "productName": "Omniwork",
  "tagline": "The Creative Agent OS, create better with desktop AI agents",
  "description": "Omniwork is an always-on Creative Agent OS that turns ideas into finished work. ...",
  "upvotes": 416,
  "commentsCount": 41,
  "topics": ["Productivity", "Artificial Intelligence", "Social media marketing"],
  "makers": ["Zoey Chen", "Finn Ding", "Shihao_Huang", "Tiana", "Abby Mao"],
  "websiteUrl": "https://www.omniwork.ai",
  "thumbnailUrl": "https://ph-files.imgix.net/ca9f8039-1afd-45fb-8410-e43e4f63d929.png",
  "launchedAt": "2026-08-09T07:01:00.000Z",
  "rank": 1,
  "productHuntUrl": "https://www.producthunt.com/products/omniwork-2",
  "slug": "omniwork-2",
  "postId": "1196035",
  "reviewsRating": 0,
  "reviewsCount": 0,
  "inputUrl": "https://www.producthunt.com/leaderboard/daily/2026/8/9",
  "scrapedAt": "2026-09-21T01:27:08.091Z"
}

The description there is cut short for this page. A real row carries the whole paragraph.

🧾 Reading the output

Three kinds of row.

charged is written when the row is built, a moment before the charge goes out, so treat it as "this is a real row" rather than as a receipt. A charge that fails adds a CHARGE_ERROR diagnostic at the end of the run.

The Console's default table hides the diagnostic columns, so those rows look blank there. Download the JSON, or add errorCode to the view, to read them.

▶️ How to run it

1. Open Product Hunt Scraper and click Try for free. 2. Choose a Leaderboard period, then set From date and To date. 3. Or skip that and paste addresses into Product Hunt URLs. 4. Set Maximum rows. Keep it low on the first run. 5. Click Start, then download the dataset as JSON, CSV or Excel, or read it from the Apify API.

💰 How much does it cost?

$0.45 per 1,000 launches. The same rate on every Apify plan, with no volume tiers.

One charge per launch row. A launch that turns up on two pages in the same run is only charged once. Sample rows and diagnostic rows are never charged, so a leaderboard page that comes back empty does not add to your row count.

💡 What people use it for

• A weekly digest of what launched in a category, keyed on postId so nothing repeats.
• Building a lead list from websiteUrl, which is the product's own domain rather than a profile.
• Tracking where a launch finished on its board, by reading rank across a date range.
• Finding the makers behind launches in a niche, for outreach or research.

🚧 What it does not do

• No keyword search. You pick boards, topics or URLs. There is no query field.
• Weekly, monthly and yearly boards are the top 20 only. Only the daily board is deep.
• Counts are a snapshot, read at the moment the page was. They are not final totals.
• Makers are names, not profiles. No usernames, no links, no follower counts, and none at all on

rows that came from a topic page.

• No comments, no reviews text, no upvoter lists. reviewsRating and reviewsCount are the

summary numbers Product Hunt publishes, nothing more.

• When a product page cannot be read in time, the row is still delivered and still billed, with

description, makers and websiteUrl empty. Nothing in the row separates "not fetched" from "not published", so if those fields matter to you, check for empties and re-run those slugs.

• 120 pages and 2,000 rows per run. Anything past that is dropped, explicit URLs first in the

queue. Split a bigger job across runs.

• Today's board is deliberately out of reach through the date range, because it is still moving.

Paste the URL if you want it anyway.

🧭 Which launch and startup scraper do you need?

❓ Questions people ask

Do I need a Product Hunt account or an API token? No. Nothing to paste in, nothing to renew.

Can I search for a keyword? Not here. Read a topic or a date range and filter the rows yourself.

Why are makers empty on some rows? Because that page's launch id did not match the row, which happens on older launches of a product that has shipped several, and on every row that came from a topic page. An empty list beats a guessed one.

Can I get today's launches? Through the date range, no, because the board is still moving and the ranks would be wrong within the hour. Paste today's leaderboard URL into startUrls if you want it anyway.

Why is my run slower with details on? Because each row costs one extra page read. Turn includeDetails off when you only need ranks and engagement.

Is this legal? Leaderboards, topic pages and product pages are public. Rows can carry people's names, which data-protection law covers, so have a reason for collecting them. Apify's write-up on scraping and the law is a fair start, and we are not lawyers.

🆘 If something breaks

Open the Issues tab on the actor page. Send the run ID and the input you used. The diagnostic row's errorCode and inputUrl name the page that went wrong.