# Product Hunt Pro (`dz_omar/product-hunt-pro`) Actor Scrape Product Hunt launches free: daily, weekly, monthly and yearly leaderboards with ranks and upvotes, company websites, makers and hunters with LinkedIn, full review text with star ratings, comments, topics and media. Search by keyword, topic or URL. No API key needed. - **URL**: https://apify.com/dz\_omar/product-hunt-pro.md - **Developed by:** [FlowExtract API](https://apify.com/dz_omar) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. - **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** — the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Product Hunt Pro — Launches, Makers, Reviews & Emails Scrape Product Hunt launches into clean, structured data: daily/weekly/monthly/yearly leaderboards, upvotes and ranks, the real company website, makers and hunters with their LinkedIn and X profiles, full review text with star ratings, launch comments, media, topics and pricing. **Free to use — no per-result charge.** ### What makes this one different - **The real website, every time.** The product's own website URL comes straight from Product Hunt — never guessed from a search engine, so you never get a directory or app-mirror page instead of the company. - **Reviews done properly.** Full review text, star rating, review date and the reviewer's profile — not just a rating number. - **Founder contact data built in.** Every maker and hunter arrives with their headline, follower count, LinkedIn and X profile. Optional email discovery reads the product's own site. - **Fast and free.** No browser, no page rendering — so runs finish quickly and cost you nothing beyond normal Apify platform usage. - **Built to not break.** One stable data source and automatic retries. A mistake in your input never fails the run: it finishes normally and tells you what was missing. - **Makers, not just products.** Paste a `/@username` link to get everything a maker has launched, plus their followers and the people they follow — one row each, streamed as they are found. - **All four search tabs.** Search launches, products, people or discussions, exactly like Product Hunt's own search page. ### Use cases - **Lead generation** — build outreach lists of newly launched startups with founder profiles and contact details. - **Market and competitor research** — track what launches in your category, how it ranks, and how people rate it. - **Launch monitoring** — schedule a daily run and get every new product the moment it goes live. - **Review and sentiment analysis** — pull real user reviews with ratings and text for any product. - **Content and newsletters** — source the top products of any day, week, month or year. - **AI agents and RAG pipelines** — use the "Just the essentials" output for compact, token-friendly records. ### Input **Pick "What do you want to scrape?" first** — it decides which settings section is used. Each choice has its own section; anything belonging to the other choices is ignored, and the run log tells you so. | Your choice | The section you fill in | |---|---| | 🔥 Today's launches | nothing — it just runs | | 🏆 Leaderboard for a date | 🏆 Leaderboard settings | | 🏷️ A topic | 🏷️ Topic settings | | 🔍 Search by keyword | 🔎 Search settings | | 🔗 Specific links | 🔗 Link settings | **📦 What to include** applies to every mode. | Field | What it does | Default | |---|---|---| | **What do you want to scrape?** | `Today's launches`, `Leaderboard for a date`, `A topic`, `Search by keyword`, or `Specific Product Hunt links` | Today's launches | | **Leaderboard period** | Daily, weekly, monthly or yearly. Leaderboard mode only. | Daily | | **Date** | A date picker, `YYYY-MM-DD`. Its meaning follows the period: exact day / that Mon–Sun week / that month / that year. | Most recent | | **Topic** | Pick from a dropdown of all 433 Product Hunt topics. Topic mode only. | Productivity | | **Topic time range** | All-time, today, this week or this year. Topic mode only. | All-time | | **Search keyword** | Any words, e.g. `AI writing`. Search mode only. | — | | **Search in** | Which of Product Hunt's four search tabs: Launches, Products, People or Discussions. | Launches | | **Product Hunt links** | Any Product Hunt link — launch, product, topic, maker profile, search, or a daily/weekly/monthly/yearly leaderboard. Links from other sites are rejected before the run starts. | — | | **For maker profile links, get** | Their own launches, or the products they upvoted. | Their launches | | **Include followers / following** | Save a maker's network as one extra row per profile, with each person's headline and social links. | Off | | **How many followers / following** | Fetched 50 at a time. | 100 each | | **How many products?** | Maximum products to save. In Links mode this is **per link**, so five links can return five times this many. | 50 | | **Include reviews and ratings** | Reviews with star rating, full text and reviewer profile | On | | **How many reviews per product?** | Fetched 20 at a time; popular products have thousands | 10 | | **Include launch comments** | The launch discussion, with full text and authors | Off | | **How many comments per product?** | Fetched 20 at a time | 10 | | **Find company emails** | Reads each product's website for public contact emails | Off | | **How much detail per product?** | `Everything` or `Just the essentials` | Everything | #### Example input ```json { "mode": "leaderboard", "leaderboardPeriod": "monthly", "date": "2026-08", "maxItems": 200, "includeReviews": true, "includeComments": false } ``` ### Output One record per product. Fields are `null` when Product Hunt does not publish them. #### Example output ```json { "recordType": "product", "name": "Switch", "tagline": "Bring any AI agent into Slack, Teams & Discord", "websiteUrl": "https://www.flintai.dev/products/switch", "productHuntUrl": "https://www.producthunt.com/posts/switch-14", "pricingType": "free", "leaderboardRank": 1, "dailyRank": 1, "upvotes": 521, "commentsCount": 90, "reviewsCount": 3, "reviewsRating": 5, "followersCount": 1189, "launchDate": "2026-09-08", "topics": ["Open Source", "Developer Tools", "Artificial Intelligence"], "githubUrl": "https://github.com/sandbox-quantum/switch", "twitterUrl": "https://x.com/flint_ai_", "hunter": { "name": "fmerian", "username": "fmerian", "headline": "hunting devtools - kilo.ai, mastra.ai", "profileUrl": "https://www.producthunt.com/@fmerian" }, "makers": [ { "name": "Safi Amin", "username": "safi_amin", "headline": "PM at SandboxAQ, building Flint AI", "linkedinUrl": "https://www.linkedin.com/in/safiamin", "followersCount": 12 } ], "reviews": [ { "rating": 5, "text": "We run a pretty fast moving team and one thing that kept slowing us down…", "createdAt": "2026-09-09T04:11:00-07:00", "reviewer": { "username": "artstavenka1", "headline": "Founder" } } ], "comments": [ { "text": "Hey Product Hunt! Safi here from the team…", "votesCount": 12, "author": { "username": "safi_amin" } } ], "emails": ["hello@flintai.dev"], "scrapedAt": "2026-09-13T11:20:00.000Z" } ``` #### Example output — maker profile row Produced by a `/@username` link when followers or following are switched on. ```json { "recordType": "maker_profile", "name": "Eric Simons", "username": "ericsimons40", "headline": "CEO @StackBlitz", "profileUrl": "https://www.producthunt.com/@ericsimons40", "followersTotalOnProductHunt": 1906, "followingTotalOnProductHunt": 2, "launchesMade": 8, "productsUpvoted": 29, "karma": { "kind": "BRONZE", "score": 487 }, "joinedAt": "2014-01-31T00:00:00-08:00", "followers": [ { "name": "Julien", "username": "julien", "headline": "Serial Entrepreneur", "followersCount": 1592 } ], "following": [ { "name": "Matt Green", "username": "mattgreen" } ] } ``` #### Field reference **Identity** — `id`, `name`, `tagline`, `description`, `slug`, `productHuntUrl`, `websiteUrl`, `pricingType`, `thumbnailUrl`, `logoUrl`, `productId`, `productSlug` **Ranking & engagement** — `leaderboardRank`, `leaderboardPeriod`, `dailyRank`, `upvotes`, `commentsCount`, `reviewsCount`, `reviewsRating`, `followersCount`, `subscribersCount`, `launchesCount`, `totalVotesCount` **Dates** — `launchDate`, `featuredAt`, `createdAt`, `updatedAt`, `scrapedAt` **Classification** — `topics[]`, `platforms[]` **Media** — `imageUrls[]`, `videoUrls[]` **Links** — `links[]` (`platform`, `websiteName`, `url`) plus flat `githubUrl`, `twitterUrl`, `linkedinUrl`, `facebookUrl`, `instagramUrl`, `appStoreUrl`, `playStoreUrl` **People** — `hunter` and `makers[]`, each with `name`, `username`, `headline`, `about`, `profileUrl`, `avatarUrl`, `followersCount`, `twitterUrl`, `linkedinUrl`, `websiteUrl`, `links[]` **Depth** — `reviews[]` (`rating`, `text`, `createdAt`, `votesCount`, `reviewer`), `comments[]` (`text`, `createdAt`, `votesCount`, `author`), `launchHistory[]` (previous launches of the same product) **Enrichment** — `emails[]` (only when "Find company emails" is enabled) **Record type** — every row carries `recordType`, so mixed results stay easy to filter: | `recordType` | What it is | Produced by | |---|---|---| | `product` | A launch, with all the fields above | every mode | | `product_hub` | A product page with its overall rating and subscriber count | Search → Products | | `person` | A maker profile matching your keyword | Search → People | | `discussion` | A forum thread with its category, upvotes and author | Search → Discussions | | `maker_profile` | One `/@username` profile: totals, karma, streak, join date | a `/@username` link | | `follower` / `following` | **One row per person** in that maker's network, with `ofUsername` pointing back at the maker | followers/following enabled | Followers and following are written as individual rows rather than as arrays on the profile: they stream into the dataset a page at a time while the run is still going, and each person stays filterable and exports cleanly to CSV. ### Pricing **This Actor is free.** You only pay Apify's normal platform usage for the run itself — there is no per-result charge. Reviews, comments, makers, hunter, media and email discovery are all included. ### Tips - Run with a small **How many products?** value first to check the shape of the results, then scale up. 400 products takes about 25 seconds without reviews. - Reviews and comments are fetched 20 at a time, so raising their limits is the main thing that slows a run down. Leave them at 10 unless you need depth. - For outreach lists, turn on **Find company emails** and use the **Leads** view in the dataset tab. - Leaderboard dates follow Product Hunt's own day, which runs on US Pacific time. - Schedule a daily run in **Today's launches** mode to monitor new products automatically. - Use **Just the essentials** when feeding results to an LLM or a spreadsheet. - Fields that do not apply to the mode you chose are listed in the run log, so you can see at a glance if something you filled in was ignored. - Follower and following limits are separate from **How many products?** — a run can return 3 launches and 200 followers. - Paste as many links as you like: each one gets its own **How many products?** allowance, so a leaderboard link cannot starve the links after it. - In Links mode you can mix link types in one run — a leaderboard, a topic and a maker profile together. The **How many products?** limit is shared across all of them, so a leaderboard link can use up the whole budget. - Weekly leaderboard links use Product Hunt's own week numbers: `/leaderboard/weekly/2022/49` is the week of 5 December 2022, not the 49th day. ### FAQ **Do I need a Product Hunt account or API key?** No. Just set the input and run. **How fresh is the data?** It is read live from Product Hunt at the moment the run starts. **Why is `websiteUrl` sometimes empty?** A few Product Hunt entries have no external website listed. The field is `null` rather than a guess. **Why did I get fewer products than I asked for?** That period, topic or search simply has fewer published products. The run still finishes successfully. **What happens if I leave a required field empty?** The run finishes successfully with zero results and explains what was missing, in the log and in the run's status message. A typo in your input is not treated as a failure. **Which links can I paste into Links mode?** Launches (`/posts/...`), products (`/products/...`), topics (`/topics/...`), maker profiles (`/@username`), searches (`/search?q=...`, `/search/users?q=...`) and any leaderboard (`/leaderboard/daily/2026/9/13`, `/weekly/2022/49`, `/monthly/2025/1`, `/yearly/2025`). Weekly links use Product Hunt's ISO week numbers, so `/weekly/2022/1` correctly resolves to 3–9 January 2022. **If I paste several links, do they share the limit?** No. **How many products?** applies to each link separately, so nine links will not be exhausted by the first one. **Can I choose a proxy?** There is nothing to configure — the Actor handles it for you. **Can I scrape a category page?** No. Product Hunt categories are not exposed by the data source this Actor uses, so a `/categories/...` link is skipped with an explanation. Use a topic instead — topics cover the same ground. **Can I get funding amounts or employee counts?** Not currently. Those are not part of the data this Actor reads. **Can I scrape private or logged-in content?** No. This Actor only reads content that is publicly visible on Product Hunt. ### Support Found a bug or need a field that is not here? Open an issue on the **Issues** tab of this Actor and it will be looked at. ### Legal & compliance This Actor collects only publicly available information from Product Hunt. It does not access private, login-gated or personal data, and it does not attempt to bypass access controls. You are responsible for using the data in line with Product Hunt's terms and with applicable laws, including GDPR and CCPA where personal data such as names, profiles or email addresses is involved — including having a lawful basis for any outreach you carry out. *** Built and maintained by **FlowExtractAPI**. # Actor input Schema ## `mode` (type: `string`): Pick this first — it decides which section below is used. Each choice has its own settings section; everything belonging to the other choices is ignored, and the run log says so. 🔥 Today's launches needs nothing else. ## `leaderboardPeriod` (type: `string`): Daily gives one day's top products. Weekly, monthly and yearly give the best of that whole period, ranked as Product Hunt ranks them. ## `leaderboardDate` (type: `string`): Which day, week, month or year to pull, as YYYY-MM-DD. Leave empty for the most recent. Examples: 2026-09-08 with Daily gives that day; with Weekly gives Mon 7 – Sun 13 Sep 2026; with Monthly gives all of September 2026; with Yearly gives all of 2026. ## `topic` (type: `string`): Pick a Product Hunt topic from the list. The most active topics are at the top. ## `topicPeriod` (type: `string`): Which products to return for the chosen topic: the best ever, or only the ones trending right now. Matches the "Show" filter in the Product Hunt app. ## `searchQuery` (type: `string`): Any words you would type into Product Hunt's own search box, for example "AI writing" or "design tools". ## `searchIn` (type: `string`): Which of Product Hunt's four search tabs to read. Products returns product pages with their overall rating; People returns maker profiles; Discussions returns forum threads. ## `productUrls` (type: `array`): Product Hunt URLs to scrape. Supports launches (/posts/…), products (/products/…), topics (/topics/…), maker profiles (/@username) and leaderboards (/leaderboard/daily|weekly|monthly|yearly/…). Leaderboard and topic links return up to 'How many products?' each. Links from other websites are rejected. ## `userLinkContent` (type: `string`): Only applies to /@username links. Their own launches, or the products they have upvoted. ## `includeFollowers` (type: `boolean`): Save the people who follow this maker, with their headline, profile and social links. ## `maxFollowers` (type: `integer`): Fetched 50 at a time. Popular makers have thousands, so keep this modest unless you need them all. ## `includeFollowing` (type: `boolean`): Save the people this maker follows — often a sharper signal of who they actually work with. ## `maxFollowing` (type: `integer`): Fetched 50 at a time. ## `maxItems` (type: `integer`): The most products to save in this run. Start small the first time so you can check the results before running a big job. ## `includeReviews` (type: `boolean`): Adds user reviews with the star rating, the full review text and who wrote it. Free — there is no extra charge. ## `maxReviews` (type: `integer`): Reviews are fetched 20 at a time, so higher numbers make the run slower. Popular products can have well over a thousand. ## `includeComments` (type: `boolean`): Adds the launch discussion with the full comment text and each author's profile. Free — there is no extra charge. ## `maxComments` (type: `integer`): Comments are fetched 20 at a time, so higher numbers make the run slower. ## `findEmails` (type: `boolean`): Visits each product's own website and collects any public contact email it finds. Makes the run noticeably slower. ## `outputMode` (type: `string`): "Everything" gives all fields. "Just the essentials" gives a short record that is easier to read in a spreadsheet or feed to an AI agent. ## Actor input object example ```json { "mode": "today", "leaderboardPeriod": "daily", "leaderboardDate": "2026-09-08", "topicPeriod": "all", "searchQuery": "AI writing", "searchIn": "launches", "productUrls": [ { "url": "https://www.producthunt.com/search?q=apify" }, { "url": "https://www.producthunt.com/leaderboard/yearly/2022" }, { "url": "https://www.producthunt.com/leaderboard/monthly/2025/11" }, { "url": "https://www.producthunt.com/leaderboard/weekly/2022/49" }, { "url": "https://www.producthunt.com/leaderboard/daily/2026/9/13" }, { "url": "https://www.producthunt.com/categories/ai-agents" }, { "url": "https://www.producthunt.com/topics/artificial-intelligence" }, { "url": "https://www.producthunt.com/products/apify" }, { "url": "https://www.producthunt.com/@rohanrecommends" } ], "userLinkContent": "launches", "includeFollowers": false, "maxFollowers": 100, "includeFollowing": false, "maxFollowing": 100, "maxItems": 50, "includeReviews": true, "maxReviews": 10, "includeComments": false, "maxComments": 10, "findEmails": false, "outputMode": "full" } ``` # Actor output Schema ## `products` (type: `string`): Every product saved in this run, with its ranks, engagement, company website, makers and hunter, reviews, comments, links, media and topics. ## `runSummary` (type: `string`): What the run did: mode, products saved, emails found, review and comment depth, and any warnings. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "productUrls": [ { "url": "https://www.producthunt.com/search?q=apify" }, { "url": "https://www.producthunt.com/leaderboard/yearly/2022" }, { "url": "https://www.producthunt.com/leaderboard/monthly/2025/11" }, { "url": "https://www.producthunt.com/leaderboard/weekly/2022/49" }, { "url": "https://www.producthunt.com/leaderboard/daily/2026/9/13" }, { "url": "https://www.producthunt.com/categories/ai-agents" }, { "url": "https://www.producthunt.com/topics/artificial-intelligence" }, { "url": "https://www.producthunt.com/products/apify" }, { "url": "https://www.producthunt.com/@rohanrecommends" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("dz_omar/product-hunt-pro").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "productUrls": [ { "url": "https://www.producthunt.com/search?q=apify" }, { "url": "https://www.producthunt.com/leaderboard/yearly/2022" }, { "url": "https://www.producthunt.com/leaderboard/monthly/2025/11" }, { "url": "https://www.producthunt.com/leaderboard/weekly/2022/49" }, { "url": "https://www.producthunt.com/leaderboard/daily/2026/9/13" }, { "url": "https://www.producthunt.com/categories/ai-agents" }, { "url": "https://www.producthunt.com/topics/artificial-intelligence" }, { "url": "https://www.producthunt.com/products/apify" }, { "url": "https://www.producthunt.com/@rohanrecommends" }, ] } # Run the Actor and wait for it to finish run = client.actor("dz_omar/product-hunt-pro").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "productUrls": [ { "url": "https://www.producthunt.com/search?q=apify" }, { "url": "https://www.producthunt.com/leaderboard/yearly/2022" }, { "url": "https://www.producthunt.com/leaderboard/monthly/2025/11" }, { "url": "https://www.producthunt.com/leaderboard/weekly/2022/49" }, { "url": "https://www.producthunt.com/leaderboard/daily/2026/9/13" }, { "url": "https://www.producthunt.com/categories/ai-agents" }, { "url": "https://www.producthunt.com/topics/artificial-intelligence" }, { "url": "https://www.producthunt.com/products/apify" }, { "url": "https://www.producthunt.com/@rohanrecommends" } ] }' | apify call dz_omar/product-hunt-pro --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,dz_omar/product-hunt-pro" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/yaLecaAtknDIbZmyx/builds/qEkDSVe67gRmPiGXr/openapi.json