Product Hunt Scraper: Launches, Makers, Reviews, No API Key

Scrape Product Hunt launches, upvotes, makers, the hunter, reviews, topics and full startup data with no API key, token or login. This is the most complete Product Hunt scraper and data export available: five ways to target launches (daily, weekly, monthly and yearly leaderboards, topics, and specific products), every field a product page exposes, and an optional reviews add-on. Export to JSON, CSV or Excel.

Use it for startup discovery, new product launch tracking, maker and founder lead generation, competitor launch monitoring, and building a daily new-products feed.

📥 Input · 📤 Output · 💰 Pricing · ▶️ Examples

Table of contents

• What it does
• Why this Product Hunt scraper
• Quickstart
• Input reference
• Output reference
• Reviews add-on
• Example output record
• Run via API and CLI
• Fetch results
• Use cases
• Billing and limits
• FAQ and troubleshooting

What it does

The actor reads the public Product Hunt website in the mode you choose and writes one normalized record per product to the run's dataset. Every record carries the listing fields (name, tagline, upvotes, comments, rank, followers, rating, topics, launch date). When withDetails is on (the default), each product page is opened to add the description, makers, the hunter, external website, screenshots and videos, pricing, funding, Y Combinator status, mobile app links and social profiles. Turn on the optional withReviews add-on to also collect each product's individual reviews with per-dimension ratings, pros and cons. Missing source values are returned as null.

No account, developer token or OAuth is needed. You only provide a mode and, optionally, a date, topic or product list.

Why this Product Hunt scraper

A single run gives you leaderboards, topics, product detail, the hunter, and full reviews together, which no single alternative combines. How it compares to other Product Hunt scrapers on the market:

Capability	This actor	Typical alternatives
Daily / weekly / monthly / yearly leaderboards	Yes, all four	Some only daily, or day/week
Topic and multi-topic scraping	Yes	Some
Specific products by URL or slug	Yes	Some
Upvotes, comments, and daily/weekly/monthly rank	Yes, all three ranks per product	Often one rank
Launch-day votes (traction on launch day)	Yes	Rare
Makers	Yes	Most
Hunter (who posted the launch)	Yes	Rare
Full individual reviews (pros, cons, per-dimension ratings)	Yes (add-on)	One competitor
Website, domain, and social links	Yes	Some
Funding, Y Combinator status, employee size	Yes	One competitor
iOS and Android app links	Yes	Rare
Vote filters (min/max upvotes)	Yes	Some
No API key or token required	Yes	Varies
Export to JSON, CSV, Excel	Yes	Most

It accepts the inputs the common alternatives accept (leaderboard windows, dates and date ranges, topics, product URLs/slugs, maxItems, vote filters) and returns the union of their output fields plus extras such as the hunter, launch-day votes, all three ranks, mobile app links and full reviews. Competitor capabilities above are based on their public listings and may change.

Quickstart

Open the actor, paste this into the input, and press Run. It returns the top 10 products on the most recent daily leaderboard with full details.

{
  "mode": "daily",
  "maxProducts": 10,
  "withDetails": true
}

Every input field is optional. Leave date empty for the most recent complete leaderboard. Switch mode to topic with a topicSlug, or to products with productUrls / productSlugs, to target those instead.

Input reference

Field	Type	Required	Default	Description
mode	enum	no	daily	What to scrape. One of daily, weekly, monthly, yearly (leaderboards), topic (products under a topic), products (a specific list).
maxProducts	integer	no	10	Maximum products to collect. Also accepts maxItems / maxResults. Free Apify plans are capped at 10 per run.
withDetails	boolean	no	true	When on, opens each product page to add description, makers, hunter, website, screenshots, videos, rating, pricing, funding and social links.
withReviews	boolean	no	false	Optional paid add-on. Collects each product's individual reviews with ratings, pros and cons. Paid Apify plans only; charged only when reviews are returned.
maxReviewsPerProduct	integer	no	20	With the reviews add-on on, the maximum reviews per product (1 to 50).
minVotes	integer	no	(none)	Only return products with at least this many upvotes.
maxVotes	integer	no	(none)	Only return products with at most this many upvotes.
date	string	no	(latest)	For leaderboard modes: target date as YYYY-MM-DD. Daily uses that day, weekly its ISO week, monthly its month, yearly its year.
startDate / endDate	string	no	(none)	For daily mode: sweep every day in the range YYYY-MM-DD to YYYY-MM-DD (up to maxProducts).
topicSlug	string	no	(none)	For topic mode: a single topic slug, for example artificial-intelligence, productivity, developer-tools, saas.
topics	string[]	no	(none)	For topic mode: one or more topic slugs to scrape in a single run.
productUrls	string[]	no	(none)	For products mode: full Product Hunt product or post URLs.
productSlugs	string[]	no	(none)	For products mode: product slugs, for example notion or figma.
startUrls	string[]	no	(none)	For products mode: an alternative way to pass product URLs.

Output reference

One dataset item per product. Types: string, integer, number, boolean, string[], object[], object, or null when the source value is absent.

Field	Type	Description
imageUrl	string	Product thumbnail / logo image URL.
name	string	Product name.
tagline	string	Product tagline.
url	string	Product Hunt product page URL.
id	string	Product Hunt product ID.
productSlug	string	Product slug (the part after /products/).
upvotes	integer	Live upvote count at scrape time.
votesCount	integer	Alias of upvotes for convenience.
launchDayVotes	integer	Upvotes the launch had on its launch day.
commentsCount	integer	Number of comments.
reviewsRating	number	Average review rating, or null.
reviewsCount	integer	Number of reviews.
followersCount	integer	Number of followers.
pricingType	string	Pricing model, for example free, free_options, paid.
price	number	Price value, or null.
priceCurrency	string	Price currency, for example USD.
category	string	Primary category.
description	string	Full product description (from the product page).
websiteUrl	string	External product website URL.
websiteDomain	string	Domain of the external website, for lead matching.
iosUrl	string	iOS App Store link, or null.
androidUrl	string	Google Play link, or null.
wasInYCombinator	boolean	Whether the product went through Y Combinator.
fundingAmount	string	Disclosed funding, or null when not shown.
employeeSize	string	Company size band, or null when not shown.
isTopProduct	boolean	Whether Product Hunt flags it as a top product.
stillOnline	boolean	Whether the product is still listed as online.
launchCount	integer	How many times the product has launched.
xAccountHandle	string	X (Twitter) handle, or null.
socialLinks	object	Public social profiles: twitter, facebook, instagram, linkedin, angellist, github, youtube, medium, threads (each a URL or null).
topics	string[]	Topic names the product is listed under.
topicSlugs	string[]	Topic slugs (for filtering and links).
hunter	object	Who posted the launch: name, username, headline, profileUrl.
makers	object[]	Makers, each with name, username, profileUrl.
gallery	string[]	Screenshot / gallery image URLs.
videoUrls	string[]	Product demo video URLs, if any.
featured	boolean	Whether the launch was featured.
featuredAt	string	When it was featured (ISO 8601).
launchNumber	integer	Which launch this is for the product (1 = first).
launchDate	string	Original launch date (ISO 8601).
rank	integer	Rank on the selected leaderboard period, or null.
dailyRank	integer	Daily leaderboard rank, or null.
weeklyRank	integer	Weekly leaderboard rank, or null.
monthlyRank	integer	Monthly leaderboard rank, or null.
period	string	Leaderboard period: daily, weekly, monthly, yearly, or null.
shortUrl	string	Product Hunt short link.
reviews	object[]	Individual reviews, populated only when the reviews add-on is on (see below).
observedAt	string	ISO 8601 timestamp of when the record was collected.
error	string	null on success. On a failed item, a record with a populated error field is written instead.

Reviews add-on

Set withReviews: true (paid Apify plans) to attach a reviews array to each product. Each review includes:

Review field	Description
rating	Overall rating (1 to 5).
easeOfUse, reliability, valueForMoney, customization	Per-dimension ratings, or null.
reviewType	founder, user, and similar.
pros, cons	Selected pros and cons.
positive, negative, experience	Free-text feedback, or null.
author, authorUsername, authorHeadline	Reviewer.
votesCount, commentsCount	Engagement on the review.
createdAt	When the review was posted (ISO 8601).

The add-on is charged only when reviews are actually returned for a product; products with no reviews are never charged for it.

Example output record

Real record from a live daily-leaderboard run (gallery trimmed to two of several images):

{
  "imageUrl": "https://ph-files.imgix.net/4034cd6b-12cc-41c7-bfae-16ebed6abd10.png?auto=format",
  "name": "Airtop",
  "tagline": "Automate your work with just words",
  "url": "https://www.producthunt.com/products/airtop",
  "id": "479863",
  "productSlug": "airtop",
  "upvotes": 271,
  "votesCount": 271,
  "launchDayVotes": 270,
  "commentsCount": 13,
  "reviewsRating": 4.67,
  "reviewsCount": 9,
  "followersCount": 2679,
  "pricingType": "free_options",
  "price": 0,
  "priceCurrency": "USD",
  "category": "Artificial Intelligence",
  "description": "Airtop is a conversational web agent builder. It lets you create AI agents that can log in, browse any website, extract data, and complete tasks, just by describing what you want in plain English.",
  "websiteUrl": "https://www.airtop.ai",
  "websiteDomain": "airtop.ai",
  "iosUrl": null,
  "androidUrl": null,
  "wasInYCombinator": false,
  "fundingAmount": null,
  "employeeSize": null,
  "isTopProduct": false,
  "stillOnline": true,
  "launchCount": 6,
  "xAccountHandle": "airtop",
  "socialLinks": {
    "twitter": "https://x.com/airtop",
    "linkedin": "https://www.linkedin.com/company/airtop-ai/",
    "facebook": null,
    "instagram": null,
    "angellist": null,
    "github": null,
    "youtube": null,
    "medium": null,
    "threads": null
  },
  "topics": ["Artificial Intelligence", "No-Code", "Vibe coding"],
  "topicSlugs": ["artificial-intelligence", "no-code", "vibe-coding"],
  "hunter": { "name": "Ben Lang", "username": "benln", "headline": "Cursor", "profileUrl": "https://www.producthunt.com/@benln" },
  "makers": [
    { "name": "Theo Gravity", "username": "theogravity", "profileUrl": "https://www.producthunt.com/@theogravity" }
  ],
  "gallery": [
    "https://ph-files.imgix.net/9e58fd05-9141-4ab6-929c-0241c84b6a64.png?auto=format&fit=crop",
    "https://ph-files.imgix.net/0282f03b-b41e-48c8-9842-bf62af6702db.png?auto=format&fit=crop"
  ],
  "videoUrls": ["https://youtu.be/VbwUwljqYiI"],
  "featured": true,
  "featuredAt": "2026-09-03T00:01:00-07:00",
  "launchNumber": 6,
  "launchDate": "2022-04-28T15:55:06.368-07:00",
  "rank": 2,
  "dailyRank": 2,
  "weeklyRank": 13,
  "monthlyRank": 40,
  "period": "daily",
  "shortUrl": "https://www.producthunt.com/r/p/1232031",
  "observedAt": "2026-09-04T03:59:42.811Z",
  "error": null
}

Run via API and CLI

Start a run and wait for it to finish, then read the dataset. Replace <TOKEN> with your Apify API token.

Run synchronously and get dataset items in one call:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~product-hunt-scraper/run-sync-get-dataset-items?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"mode":"daily","maxProducts":25,"withDetails":true}'

Start a run asynchronously:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~product-hunt-scraper/runs?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"mode":"topic","topicSlug":"artificial-intelligence","maxProducts":100}'

Apify CLI:

apify call scrapers_lat/product-hunt-scraper \
  --input '{"mode":"products","productSlugs":["notion","figma"]}'

Fetch results

Every run writes to a dataset. Fetch items as JSON, CSV, or Excel by changing format:

# JSON
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=json"

# CSV
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=csv"

# Paginate large datasets
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&offset=1000&limit=1000"

<DATASET_ID> is returned as defaultDatasetId in the run object. Use offset and limit to page through large result sets. clean=true drops empty and internal fields.

Use cases

• Startup discovery and sourcing: monitor new launches by topic (AI, SaaS, developer tools) and surface funding and Y Combinator signals.
• New product launch tracking: build a daily new-products feed and watch upvotes, launch-day votes and rank movement.
• Maker and founder lead generation: capture the hunter, makers, website domain and social profiles for outreach.
• Competitor and market research: pull reviews with pros, cons and per-dimension ratings to compare products in a category.
• Trend analysis: aggregate weekly, monthly and yearly leaderboards to see which categories are gaining traction.

Billing and limits

• Pay per result. You are charged per product returned (result event). Enriched detail records and the optional reviews add-on are separate events. See the pricing tab.
• No charge on failure. If a run finds nothing or errors, the actor writes a single item with an error field and does not charge for it. Empty runs cost nothing.
• Spend cap respected. Set maxTotalChargeUsd on the run; once reached, the actor stops emitting and charging further billable results.
• Free Apify plans are capped at 10 products per run, and the reviews add-on is available on paid plans. Upgrade for higher maxProducts.
• Live data. Upvotes and counts reflect the value at scrape time, so running the same board later returns updated numbers (see observedAt).

FAQ and troubleshooting

Does this work without a Product Hunt API key, token or login? Yes. It reads the public Product Hunt website, so no account, developer token or OAuth is needed.

How many products come from one leaderboard? A daily, weekly, monthly or yearly board returns its top launches, usually around 17 to 24 of the highest ranked products for that period. Use maxProducts, date, or a startDate/endDate range to control the range.

How do I get makers, the hunter, description and the website link? Keep withDetails on (the default), or use products mode with URLs or slugs. Each product page is then opened to add the description, makers, the hunter, external website, screenshots, videos, rating, pricing and funding.

How do I get individual reviews? Turn on withReviews (paid Apify plans). Each product gets a reviews array with overall and per-dimension ratings, pros, cons and the reviewer. Products with no reviews are not charged for the add-on.

Can I scrape a specific topic like artificial intelligence? Yes. Set mode to topic and provide a topicSlug such as artificial-intelligence, productivity, developer-tools or saas, or pass several at once via topics.

Can I filter by upvotes? Yes. Use minVotes and maxVotes to keep only products within an upvote range.

What does the upvotes number represent? It is the live upvote count Product Hunt shows for that launch at scrape time. launchDayVotes is the count the launch had on its launch day. Running the same board later returns updated counts.

Is this an official Product Hunt tool? No. This actor is independent and has no affiliation with Product Hunt. It accesses only data that is publicly available on the platform.

Example tasks

Preconfigured templates for common scenarios. Open one and press Run, or use it as a starting point:

• Product Hunt Daily Leaderboard Scraper
• Product Hunt Weekly Leaderboard Scraper
• Product Hunt Monthly Leaderboard Scraper
• Product Hunt AI Products Scraper
• Product Hunt SaaS Products Scraper
• Product Hunt Developer Tools Scraper
• Product Hunt Design Tools Scraper
• Product Hunt Marketing Products Scraper
• Product Hunt Productivity Apps Scraper
• Product Hunt No-Code Tools Scraper

Related scrapers

• Apple App Store Reviews & Ratings Scraper: reviews and ratings for any App Store app.
• GitHub Repositories Scraper: repositories with stars, topics and metadata.
• Hacker News Scraper: stories, comments and points.
• Crunchbase Company Scraper: company profiles and funding.
• G2 Software Reviews Scraper: software product reviews and ratings.

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Independent tool, not affiliated with Product Hunt. Accesses only data that is publicly available on the platform. Use it in accordance with Product Hunt's terms of service.