# Product Hunt Scraper — Launches, Reviews & Leaderboards (`crawloop/producthunt-scraper`) Actor Scrape Product Hunt launches, leaderboards, reviews & comments. Export startup leads, ratings, and discussion threads as JSON. No PH API needed. Paginated boards & reviews. - **URL**: https://apify.com/crawloop/producthunt-scraper.md - **Developed by:** [Andrej Kiva](https://apify.com/crawloop) (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 from $4.00 / 1,000 detailed launches This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 Scraper — Launches, Reviews & Leaderboards > **Crawloop B2B Lead Generation** — Daily launches, leaderboards, startup profiles, paginated reviews, and discussion threads as structured JSON. > > Product site: [crawloop.com](https://crawloop.com) | Crunchbase Leads Extractor | **Product Hunt Scraper** | | :--- | :--- | | Company & funding intelligence | **Launches, reviews & leaderboards** ◄── you are here | > **Disclaimer:** This is an unofficial integration developed independently. It is not affiliated with, sponsored by, or endorsed by Product Hunt, AngelList, or any of their subsidiaries. > > **Product Hunt** and related names are trademarks of their respective owners. Launch listings, reviews, and comments are read from publicly accessible web sources only; no proprietary databases or private account data are accessed. > > This Actor is provided **for informational and research purposes only** (e.g. startup market intelligence, launch monitoring, lead list building). You are solely responsible for ensuring your use complies with applicable laws, platform terms of use, and your organization's policies. Scrape **Product Hunt** launches at scale — no official API required. Export daily feeds and historical leaderboards (daily, weekly, monthly, yearly), enrich each product with website links, social handles, **paginated user reviews**, and threaded comments. Fast HTTP extraction with Cloudflare bypass — no headless browser. **Best for:** B2B lead lists from new launches, competitor review monitoring, VC/accelerator scouting, and launch trend research. ### When to use this Actor - **Leaderboard exports** — upvotes, ranks, taglines, and topics from daily through yearly boards. - **Startup lead gen** — website URLs, Twitter/GitHub/LinkedIn links, hunter profiles, YC and funding signals. - **Review intelligence** — star ratings, aspect scores, written feedback, pros/cons, and reviewer profiles (paginated, not just the first page). - **Launch discussions** — comment threads with nested replies, upvotes, and author metadata. Pair with **Crunchbase Leads Extractor** when you also need funding rounds and investor data outside Product Hunt. ### Key Features - **Leaderboard pagination** — Full daily, weekly, monthly, and yearly boards (200+ products on yearly lists). - **Paginated reviews** — Fetch dozens or hundreds of reviews per product, not just the initial page. - **Listings or details mode** — Fast card-only exports (`scrapeDetails: false`) or full enrichment with reviews and comments. - **Structured output** — One JSON row per launch; CSV, Excel, API, or webhook via Apify dataset. - **Cloudflare-ready** — TLS fingerprint impersonation, session warmup, residential proxy rotation. ### Input Parameters | Parameter | Type | Default | Description | | :--- | :--- | :--- | :--- | | `startUrls` | Array | — | Homepage, `/posts/{slug}`, or `/leaderboard/{daily\|weekly\|monthly\|yearly}/…` | | `scrapeDetails` | Boolean | `true` | Visit detail pages for description, links, reviews, comments | | `maxItems` | Integer | `50` | Max launches total. Use `500+` for full yearly boards | | `scrapeReviews` | Boolean | `true` | Extract paginated user reviews (requires `scrapeDetails`) | | `scrapeComments` | Boolean | `true` | Extract discussion comments (requires `scrapeDetails`) | | `maxReviews` | Integer | `20` | Max reviews per product | | `maxComments` | Integer | `50` | Max top-level comments per product (replies included) | | `proxyConfiguration` | Object | Residential | Apify Proxy (residential recommended) | | `concurrencyLimit` | Integer | `2` | Concurrent workers (keep 1–3) | | `requestDelayMinMs` / `requestDelayMaxMs` | Integer | `300` / `800` | Random delay between requests (ms) | #### Input Example ```json { "startUrls": [ { "url": "https://www.producthunt.com/leaderboard/weekly/2026/27" } ], "scrapeDetails": true, "maxItems": 25, "scrapeReviews": true, "scrapeComments": true, "maxReviews": 20, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` #### Fast listing-only ```json { "startUrls": [ { "url": "https://www.producthunt.com/leaderboard/yearly/2026" } ], "scrapeDetails": false, "maxItems": 100 } ``` ### Output Format Each row = one launch. Leaderboard fields (`votesCount`, ranks) are merged with detail-page data when `scrapeDetails: true`. **Core fields:** `name`, `slug`, `tagline`, `votesCount`, `commentsCount`, `dailyRank`, `weeklyRank`, `monthlyRank`, `websiteUrl`, `topics`, `createdAt` **Enriched fields:** `description`, `reviewsRating`, `reviewsCount`, `socialLinks`, `companyInfo`, `hunter`, `reviews[]`, `comments[]` **Each review includes:** `overallRating`, aspect ratings, `positiveFeedback` / `negativeFeedback`, `pros` / `cons`, `reviewer` profile #### Output Example ```json { "name": "Spira AI", "slug": "spira-for-product-hunt-makers", "tagline": "AI Influencer that always on trend, create & grow your brand", "votesCount": 447, "dailyRank": "1", "websiteUrl": "https://spira.ai", "reviewsRating": 4.8, "socialLinks": { "twitter": "https://twitter.com/spira_lab_ai" }, "reviews": [ { "overallRating": 5, "easeOfUseRating": 5, "valueForMoneyRating": 4, "pros": ["smart templates", "easy setup"], "reviewer": { "name": "John Doe", "username": "johndoe" } } ] } ``` ### Use Cases | Use Case | What you get | | :--- | :--- | | **B2B lead generation** | New startup websites, social handles, hunter profiles | | **Competitor monitoring** | Paginated reviews, ratings, comment sentiment | | **Market research** | Leaderboard ranks and upvote trends over time | | **VC scouting** | YC status, funding signals, launch-day activity | ### Proxy **Apify Residential Proxy** is recommended for large leaderboards and detail-page runs at scale. ### FAQ **How do leaderboards work?**\ Paste any leaderboard URL. The actor auto-detects the period and paginates until `maxItems`. **How many reviews per product?**\ Set `maxReviews` (default `20`). The actor paginates automatically. Empty array if the product has no public reviews. **Account required?**\ No login or API token — public pages only. **Listings vs details?**\ `scrapeDetails: false` = fast leaderboard CSV. `true` = full profiles with reviews and comments. *** **Learn more:** [Product page](https://crawloop.com/products/producthunt-scraper.html) # Actor input Schema ## `startUrls` (type: `array`): List of Product Hunt URLs to scrape. Supports the homepage (daily launches), product posts (e.g. /posts/clinepass), or leaderboards (daily/weekly/monthly/yearly). ## `scrapeDetails` (type: `boolean`): If enabled, visits each post's detail page to extract description, external links, social handles, user reviews, and comments. If disabled, only extracts feed-level data (faster for large leaderboards). ## `maxItems` (type: `integer`): Maximum number of items/launches to scrape in total across all URLs. Set to 500+ for full yearly/monthly leaderboards. ## `scrapeReviews` (type: `boolean`): If enabled, visits product detail pages and extracts user reviews (ratings, text, author details) with GraphQL pagination. Requires 'Scrape Detail Pages' to be enabled. ## `scrapeComments` (type: `boolean`): If enabled, visits product detail pages and extracts discussion comments and replies. Requires 'Scrape Detail Pages' to be enabled. ## `maxReviews` (type: `integer`): Maximum number of reviews to extract per product details page (paginated via GraphQL). ## `maxComments` (type: `integer`): Maximum number of comments to extract per product details page (first SSR page only). ## `proxyConfiguration` (type: `object`): Apify Residential proxy is strongly recommended to bypass Cloudflare and avoid rate limits on large leaderboards. ## `concurrencyLimit` (type: `integer`): Maximum number of concurrent workers. Keep low (1-3) to avoid rate limits. ## `requestDelayMinMs` (type: `integer`): Minimum random delay between HTTP requests. ## `requestDelayMaxMs` (type: `integer`): Maximum random delay between HTTP requests. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.producthunt.com/leaderboard/weekly/2026/27" } ], "scrapeDetails": true, "maxItems": 25, "scrapeReviews": true, "scrapeComments": true, "maxReviews": 20, "maxComments": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "concurrencyLimit": 2, "requestDelayMinMs": 300, "requestDelayMaxMs": 800 } ``` # 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 = { "startUrls": [ { "url": "https://www.producthunt.com/leaderboard/weekly/2026/27" } ], "maxItems": 25 }; // Run the Actor and wait for it to finish const run = await client.actor("crawloop/producthunt-scraper").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 = { "startUrls": [{ "url": "https://www.producthunt.com/leaderboard/weekly/2026/27" }], "maxItems": 25, } # Run the Actor and wait for it to finish run = client.actor("crawloop/producthunt-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ { "url": "https://www.producthunt.com/leaderboard/weekly/2026/27" } ], "maxItems": 25 }' | apify call crawloop/producthunt-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawloop/producthunt-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Product Hunt Scraper — Launches, Reviews & Leaderboards", "description": "Scrape Product Hunt launches, leaderboards, reviews & comments. Export startup leads, ratings, and discussion threads as JSON. No PH API needed. Paginated boards & reviews.", "version": "0.4", "x-build-id": "dmMMcDfqUbtNqU2Lk" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawloop~producthunt-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawloop-producthunt-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawloop~producthunt-scraper/runs": { "post": { "operationId": "runs-sync-crawloop-producthunt-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawloop~producthunt-scraper/run-sync": { "post": { "operationId": "run-sync-crawloop-producthunt-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "List of Product Hunt URLs to scrape. Supports the homepage (daily launches), product posts (e.g. /posts/clinepass), or leaderboards (daily/weekly/monthly/yearly).", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "scrapeDetails": { "title": "Scrape Detail Pages", "type": "boolean", "description": "If enabled, visits each post's detail page to extract description, external links, social handles, user reviews, and comments. If disabled, only extracts feed-level data (faster for large leaderboards).", "default": true }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of items/launches to scrape in total across all URLs. Set to 500+ for full yearly/monthly leaderboards.", "default": 50 }, "scrapeReviews": { "title": "Scrape Reviews", "type": "boolean", "description": "If enabled, visits product detail pages and extracts user reviews (ratings, text, author details) with GraphQL pagination. Requires 'Scrape Detail Pages' to be enabled.", "default": true }, "scrapeComments": { "title": "Scrape Comments", "type": "boolean", "description": "If enabled, visits product detail pages and extracts discussion comments and replies. Requires 'Scrape Detail Pages' to be enabled.", "default": true }, "maxReviews": { "title": "Max Reviews per Product", "minimum": 1, "type": "integer", "description": "Maximum number of reviews to extract per product details page (paginated via GraphQL).", "default": 20 }, "maxComments": { "title": "Max Comments per Product", "minimum": 1, "type": "integer", "description": "Maximum number of comments to extract per product details page (first SSR page only).", "default": 50 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Residential proxy is strongly recommended to bypass Cloudflare and avoid rate limits on large leaderboards.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }, "concurrencyLimit": { "title": "Max Concurrency Limit", "minimum": 1, "maximum": 10, "type": "integer", "description": "Maximum number of concurrent workers. Keep low (1-3) to avoid rate limits.", "default": 2 }, "requestDelayMinMs": { "title": "Min Request Delay (ms)", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Minimum random delay between HTTP requests.", "default": 300 }, "requestDelayMaxMs": { "title": "Max Request Delay (ms)", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Maximum random delay between HTTP requests.", "default": 800 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```