Product Hunt Scraper – Daily Launches & Upvotes

Get every Product Hunt launch for a day, a week or a month in one table, with upvotes, comments, daily/weekly/monthly rank and topics. You can also pull the top products in a topic, or full details for specific products (website, rating, followers, socials). I use it to keep an eye on what's launching in my space without checking the site every morning.

If you'd rather see it in action first, I recorded a short video tutorial:

What you get

Launch rows (type: "launch"):

Field	Real example
name, tagline	Talanoa, "Email that feels like chat"
upvotes, commentsCount	331, 23
dailyRank, weeklyRank, monthlyRank	1, 5, 17
topics	["Email", "Productivity", "Task Management"]
launchedAt, launchUrl, productUrl, thumbnailUrl	2026-10-15T00:01:00-07:00, links

Product rows (type: "product") come from Products, from Topics, or when Add product details to each launch is on. They add websiteUrl, reviewsRating, reviewsCount, followersCount, launchesCount, categories, social, appStoreUrls and wasInYCombinator.

How much it costs

$1.50 per 1,000 rows ($0.0015 each). Each launch or product row is one result.

Example	Rows	Cost
Yesterday's launches	~20–40	$0.03–$0.06
One month of daily launches	~900	$1.35
Same month, with product details	~1,800	$2.70

Apify's free plan includes $5 a month, which is about 3,300 rows. Min upvotes and Max launches keep the bill small. A real run for one day took about 5 seconds.

How to use it

1. Create a free Apify account and open this Actor.
2. In Dates type one or more days as YYYY-MM-DD, or set a range with Date from and Date to (up to 62 days). If you leave everything empty, you get yesterday.
3. Pick Leaderboard period: daily, weekly (the ISO week of the date) or monthly.
4. Optional: set Min upvotes to skip small launches, and turn on Add product details to each launch for website, rating and followers.
5. Click Start and download the table from the Output tab.

To get the top products in a category, use Topics (e.g. artificial-intelligence). For specific products, use Products (slug or producthunt.com/products/<slug> URL).

Input example

{
  "dates": ["2026-10-15"],
  "period": "daily",
  "minUpvotes": 0,
  "maxLaunches": 500
}

Output example

Use cases

• A daily or weekly digest of new tools in your niche for a newsletter or Slack channel.
• Market research: which categories get the most upvotes month after month.
• Lead lists of new startups, with product details on for website and socials.
• Tracking competitors' launches and how they ranked.

Integrations

• Schedule it every morning and send the results to Slack, email or a webhook from the Integrations tab.
• Google Sheets, Make, Zapier, n8n: official Apify app, "Run Actor" (ener90/product-hunt-launches), then "Get dataset items".
• API:

from apify_client import ApifyClient
client = ApifyClient("YOUR_TOKEN")
run = client.actor("ener90/product-hunt-launches").call(run_input={"dates": ["2026-10-15"], "period": "daily"})
for l in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(l.get("dailyRank"), l["name"], l.get("upvotes"))

• AI agents: add it to Apify MCP and ask "what were the top AI launches on Product Hunt this week?".

Limitations

• Product Hunt is behind Cloudflare, so residential proxies are on by default.
• Date ranges are capped at 62 days per run. Split longer periods into several runs.
• Followers, rating and website only come on product rows, not on plain launch rows.

FAQ

Is this the official Product Hunt API? No. It reads the public site, so you don't need an API token.

What does launchDayScore mean? It's the score Product Hunt uses for the daily ranking. It's close to the upvotes, but not always the same.

Is it legal? It only reads public launch pages. Check Product Hunt's terms for your use case.

More from me

• TrustRadius Reviews Scraper
• Walmart Reviews Scraper
• AI Review Insights