# Product Hunt Scraper - Products, Ratings & Reviews to CSV/Excel (`matrix-crawl/producthunt-scraper`) Actor Scrape Product Hunt at scale. Browse by topic or target specific products. Extract name, tagline, rankings, score, reviews (pros/cons + ratings), followers, website, socials, makers, tags and images — plus the product's own website (title, description, emails). No login, no API key. - **URL**: https://apify.com/matrix-crawl/producthunt-scraper.md - **Developed by:** [Matrix Crawl](https://apify.com/matrix-crawl) (community) - **Categories:** Lead generation, SEO tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 — Products, Ratings & Reviews to CSV/Excel **Scrape Product Hunt product data and reviews at scale.** Discover products by topic or target specific products by slug — name, tagline, description, review rating & count, followers, website, social links, funding, categories — plus full reviews (pros, cons, multi-dimension ratings, author). Export to CSV, Excel or JSON. No login, no API key. `product hunt scraper` · `producthunt scraper` · `product reviews` · `saas directory` · `tech product data` · `competitor research` · `product discovery` · `startup research` Built for market and competitor research, product discovery, and lead-gen for software tools. --- ### 👥 Who Is This For? * **Market & competitor research:** Compare products' ratings, reviews, and followers in a topic. * **Product discovery:** Pull fresh products in any Product Hunt topic with taglines and links. * **Sales / lead-gen:** Collect tool makers' websites and social profiles by category. --- ### ⚡ Features * **Two modes** — browse a **topic** (many products) or scrape **specific products** by slug/URL. * **Product data** — name, tagline, description, review rating & count, followers, website, socials, funding, employee size, categories, logo. * **Reviews (optional)** — pros, cons, overall + ease-of-use/value/reliability/customization ratings, author, date. * **De-duplicated** — by product slug. * **You control cost** — caps on products and reviews per product. * **Export** — CSV/Excel/JSON, or call from AI agents via Apify's MCP server. > Note: Product Hunt upvote counts / daily rankings are loaded privately and are not included. --- ### 🚀 How to Use **Topic mode:** add topic slugs (from `producthunt.com/topics/{slug}`), e.g. `artificial-intelligence`, `developer-tools`. **Product mode:** add product slugs, e.g. `lovable`, `n8n-io` (full URLs work too). When set, topics are ignored. Turn on **Scrape reviews** for reviews, and set **Max reviews per product** / **Maximum products** to control volume. #### Sample Input ```json { "productSlugs": ["lovable", "n8n-io"], "scrapeReviews": true, "maxReviewsPerProduct": 20, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` *** ### 📊 Output — Product fields | Field | Type | Example | |-------|------|---------| | `name` | string | `"Lovable"` | | `tagline` | string | `"The world's first AI Fullstack Engineer"` | | `description` | string | null | `"The AI Fullstack Engineer that works…"` | | `slug` / `url` | string | `"lovable"` / `"https://www.producthunt.com/products/lovable"` | | `website` | string | null | `"https://lovable.dev"` | | `reviewsRating` | number | null | `4.68` | | `reviewsCount` | integer | null | `193` | | `followersCount` | integer | null | `44188` | | `founderReviewsCount` | integer | null | `114` | | `postsCount` | integer | null | `10` | | `categories` | string | null | `"AI Coding Agents, Developer Tools"` | | `tags` | string | null | `"Software Engineering, Developer Tools, AI"` | | `dailyRank` / `weeklyRank` / `monthlyRank` | integer | null | `7` / `38` / `183` | | `score` | integer | null | `270` (upvote-based launch score) | | `launchDate` | string | null | `"2024-10-22T11:40:23-07:00"` | | `launchCommentsCount` | integer | null | `52` | | `launches` | array | null | `[{ name, tagline, launchDate, dailyRank, weeklyRank, monthlyRank, score, commentsCount, url }]` | | `makers` | array | null | `[{ name, username, avatarUrl }]` | | `images` / `videoUrls` | array | null | product gallery media URLs | | `xAccountHandle` | string | null | `"@codebuffai"` | | `wasInYCombinator` / `isTopProduct` / `isNoLongerOnline` | boolean | `false` / `true` / `false` | | `employeeSize` / `fundingAmount` | string | null | often `null` | | `firstLaunchDate` | string | null | `"2024-01-04T00:01:00-08:00"` | | `socialLinks` | object | null | `{ "twitter": "…", "linkedin": "…" }` | | `logoUrl` / `thumbnailUrl` | string | null | `"https://ph-files.imgix.net/…"` | | `scrapedAt` | string (ISO) | `"2026-07-03T10:00:00.000Z"` | > `score` is Product Hunt's upvote-based launch score (PH no longer exposes raw upvote counts). Tech-stack (`builtWith`), full comment threads, and maker follower counts are only available via Product Hunt's official API and are not included. #### With **Scrape product website** on — each product gains `websiteInfo` | Field | Description | |-------|-------------| | `title`, `description` | the product site's `` + meta description | | `emails` | emails found on the site (great for lead-gen) | | `rawText` | cleaned page text (truncated) | #### With **Scrape reviews** on — each product gains `reviews[]` | Review field | Description | |-------|-------------| | `overallRating` + `easeOfUseRating` / `valueForMoneyRating` / `reliabilityRating` / `customizationRating` | 1–5 scores | | `pros`, `cons` | tag lists | | `positiveFeedback`, `negativeFeedback`, `experience` | review text | | `author`, `authorHeadline` | reviewer name + headline | | `createdAt`, `votesCount`, `commentsCount` | review metadata | Plus `reviewsScraped` (how many were captured for that product). #### Sample Output ```json { "name": "Codebuff", "tagline": "Better code generation than Cursor, from your CLI", "description": "Codebuff is a tool for editing codebases via natural la…", "slug": "codebuff", "url": "https://www.producthunt.com/products/codebuff", "website": "https://codebuff.com", "reviewsRating": 5, "reviewsCount": 3, "followersCount": 234, "postsCount": 1, "categories": "AI Coding Agents, Command line tools, AI Code Editors", "tags": "Software Engineering, Developer Tools, Artificial Intelligence, Open Source", "dailyRank": 7, "weeklyRank": 38, "monthlyRank": 183, "score": 270, "launchDate": "2024-10-22T11:40:23-07:00", "launchCommentsCount": 54, "wasInYCombinator": true, "xAccountHandle": "@codebuffai", "socialLinks": { "twitter": "https://twitter.com/codebuffai", "linkedin": "https://www.linkedin.com/company/codebuff" }, "logoUrl": "https://ph-files.imgix.net/7cdee0cb-…png", "launches": [ { "name": "Codebuff", "launchDate": "2024-10-22T11:40:23-07:00", "dailyRank": 7, "weeklyRank": 38, "monthlyRank": 183, "score": 270, "commentsCount": 54, "url": "https://www.producthunt.com/products/codebuff/launches/codebuff" } ], "makers": [ { "name": "Carter Garcia", "username": "carter_garcia", "avatarUrl": "https://ph-avatars.imgix.net/…jpeg" } ], "images": ["https://ph-files.imgix.net/a217b57d-…gif"], "reviews": [ { "overallRating": 5, "author": "Dexter Horthy", "createdAt": "2024-11-19T22:57:35-08:00" } ], "reviewsScraped": 3, "websiteInfo": { "url": "https://codebuff.com", "title": "Codebuff – AI Coding Assistant for Your Terminal", "description": "Code faster with AI using Codebuff. Edit your codebase via natural language.", "emails": [], "rawText": "Codebuff – AI Coding Assistant for Your Terminal Docs P…" } } ``` *** ### 💡 Proxy (recommended) Uses **residential** proxy (Product Hunt blocks data-center IPs). Apify residential is the default and works out of the box; you can plug in your own for higher volume. ### ⚖️ Compliance & Responsible Use Collects publicly available data only. Reviews contain user-generated content (author names/headlines) — use it lawfully, comply with anti-spam rules for any outreach, and respect Product Hunt's Terms of Service and `robots.txt`. # Actor input Schema ## `topics` (type: `array`): Product Hunt topic slugs to discover products from (from producthunt.com/topics/{slug}), e.g. "artificial-intelligence", "developer-tools", "saas". Used when no product slugs are given. ## `productSlugs` (type: `array`): Scrape specific products instead of browsing topics, e.g. "lovable", "n8n-io". Full Product Hunt URLs also work. When set, Topics is ignored. ## `scrapeProductDetails` (type: `boolean`): In topic mode, visit each product's page for the full profile (rating, reviews count, followers, website, socials, funding, categories). Turn off for a fast lightweight list (name, tagline, URL only). ## `scrapeReviews` (type: `boolean`): Also collect each product's reviews (pros, cons, multi-dimension ratings, author, date). Adds one or more requests per product. ## `maxReviewsPerProduct` (type: `integer`): Cap on reviews collected per product (0 = all). ## `scrapeWebsite` (type: `boolean`): Also fetch each product's own website for its title, description, emails and text (one extra request per product). Great for lead-gen. ## `maxItems` (type: `integer`): Hard cap on total products scraped (cost control). 0 = no cap. ## `debugLog` (type: `boolean`): If a page returns 200 but no product is parsed, save the HTML to the key-value store for inspection. ## `proxyConfiguration` (type: `object`): Residential proxy is recommended — Product Hunt blocks data-center IPs. Default Apify residential works out of the box. ## Actor input object example ```json { "topics": [ "artificial-intelligence" ], "scrapeProductDetails": true, "scrapeReviews": false, "maxReviewsPerProduct": 20, "scrapeWebsite": false, "maxItems": 20, "debugLog": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 '<YOUR_API_TOKEN>' with your token const client = new ApifyClient({ token: '<YOUR_API_TOKEN>', }); // Prepare Actor input const input = { "topics": [ "artificial-intelligence" ] }; // Run the Actor and wait for it to finish const run = await client.actor("matrix-crawl/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 '<YOUR_API_TOKEN>' with your token. client = ApifyClient("<YOUR_API_TOKEN>") # Prepare the Actor input run_input = { "topics": ["artificial-intelligence"] } # Run the Actor and wait for it to finish run = client.actor("matrix-crawl/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 '{ "topics": [ "artificial-intelligence" ] }' | apify call matrix-crawl/producthunt-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=matrix-crawl/producthunt-scraper", "--header", "Authorization: Bearer <YOUR_API_TOKEN>" ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Product Hunt Scraper - Products, Ratings & Reviews to CSV/Excel", "description": "Scrape Product Hunt at scale. Browse by topic or target specific products. Extract name, tagline, rankings, score, reviews (pros/cons + ratings), followers, website, socials, makers, tags and images — plus the product's own website (title, description, emails). No login, no API key.", "version": "1.0", "x-build-id": "f52ZDdTr5FZ1AITEX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/matrix-crawl~producthunt-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-matrix-crawl-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/matrix-crawl~producthunt-scraper/runs": { "post": { "operationId": "runs-sync-matrix-crawl-producthunt-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/matrix-crawl~producthunt-scraper/run-sync": { "post": { "operationId": "run-sync-matrix-crawl-producthunt-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "topics": { "title": "Topics", "type": "array", "description": "Product Hunt topic slugs to discover products from (from producthunt.com/topics/{slug}), e.g. \"artificial-intelligence\", \"developer-tools\", \"saas\". Used when no product slugs are given.", "default": [ "artificial-intelligence" ], "items": { "type": "string" } }, "productSlugs": { "title": "Product slugs (optional)", "type": "array", "description": "Scrape specific products instead of browsing topics, e.g. \"lovable\", \"n8n-io\". Full Product Hunt URLs also work. When set, Topics is ignored.", "items": { "type": "string" } }, "scrapeProductDetails": { "title": "Scrape full product details", "type": "boolean", "description": "In topic mode, visit each product's page for the full profile (rating, reviews count, followers, website, socials, funding, categories). Turn off for a fast lightweight list (name, tagline, URL only).", "default": true }, "scrapeReviews": { "title": "Scrape reviews", "type": "boolean", "description": "Also collect each product's reviews (pros, cons, multi-dimension ratings, author, date). Adds one or more requests per product.", "default": false }, "maxReviewsPerProduct": { "title": "Max reviews per product", "minimum": 0, "type": "integer", "description": "Cap on reviews collected per product (0 = all).", "default": 20 }, "scrapeWebsite": { "title": "Scrape product website", "type": "boolean", "description": "Also fetch each product's own website for its title, description, emails and text (one extra request per product). Great for lead-gen.", "default": false }, "maxItems": { "title": "Maximum products", "minimum": 0, "type": "integer", "description": "Hard cap on total products scraped (cost control). 0 = no cap.", "default": 20 }, "debugLog": { "title": "Debug logging", "type": "boolean", "description": "If a page returns 200 but no product is parsed, save the HTML to the key-value store for inspection.", "default": false }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Residential proxy is recommended — Product Hunt blocks data-center IPs. Default Apify residential works out of the box.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```