# Product Hunt Scraper - Launches, Products & Leaderboard (`thirdwatch/producthunt-scraper`) Actor Scrape Product Hunt launches, product profiles, and leaderboard rankings. Extract name, tagline, votes, comments, topics, pricing, reviews, and website URLs. Daily featured products, category browsing, and historical leaderboard data. - **URL**: https://apify.com/thirdwatch/producthunt-scraper.md - **Developed by:** [Thirdwatch](https://apify.com/thirdwatch) (community) - **Categories:** Other, AI - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.20 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Scrape Product Hunt launches, product profiles, and leaderboard rankings. Extracts structured data from Product Hunt's Apollo GraphQL SSR without a browser. ### What it does This actor scrapes Product Hunt in three modes: - **Launches** (default): Daily featured products from the homepage or topic pages. Returns name, tagline, votes, comments, rankings, and topics. - **Products**: Full product profiles with description, website URL, pricing type, review ratings, and follower counts. - **Leaderboard**: Today's top-ranked products sorted by daily rank. ### Input parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `queries` | array of strings | `[]` | Topic slugs for launches (e.g., `artificial-intelligence`, `developer-tools`), product slugs for products (e.g., `chatgpt`, `notion`). Leave empty for homepage. | | `maxResults` | integer | `50` | Maximum total results to return. | | `scrapeType` | string | `launches` | One of: `launches`, `products`, `leaderboard`. | | `proxyConfiguration` | object | `{}` | Proxy settings. Leave default for best results. | ### Output fields | Field | Type | Description | |-------|------|-------------| | `name` | string | Product name | | `tagline` | string | Product tagline | | `url` | string | Product Hunt URL | | `website_url` | string or null | Product's actual website (products mode only) | | `votes_count` | integer | Number of upvotes | | `comments_count` | integer | Number of comments | | `daily_rank` | integer or null | Daily ranking position | | `weekly_rank` | integer or null | Weekly ranking position | | `monthly_rank` | integer or null | Monthly ranking position | | `topics` | array of strings | Topic/category names | | `description` | string or null | Full description (products mode only) | | `pricing_type` | string or null | Pricing model (products mode only) | | `reviews_rating` | float or null | Average review rating (products mode only) | | `reviews_count` | integer or null | Number of reviews (products mode only) | | `thumbnail_url` | string or null | Thumbnail image URL | | `featured_at` | string or null | ISO date when featured | | `created_at` | string or null | ISO date when created | | `query` | string | Which query produced this result | ### Example usage #### Scrape today's launches ```json { "scrapeType": "launches", "maxResults": 20 } ```` #### Scrape AI topic launches ```json { "queries": ["artificial-intelligence", "developer-tools"], "scrapeType": "launches", "maxResults": 50 } ``` #### Scrape product profiles ```json { "queries": ["chatgpt", "notion", "linear"], "scrapeType": "products", "maxResults": 10 } ``` #### Scrape today's leaderboard ```json { "scrapeType": "leaderboard", "maxResults": 30 } ``` ### Technical details - **Pattern B**: HTTP-only with impit TLS fingerprinting (no browser) - **Memory**: 256 MB - **Anti-bot bypass**: impit with Chrome TLS fingerprint bypasses Cloudflare Managed Challenge - **Data source**: Apollo GraphQL SSR data embedded in HTML script tags - **Cost**: ~$0.05/1K results (pure HTTP, no proxy needed in most cases) # Actor input Schema ## `queries` (type: `array`): Search terms or topic slugs to scrape. For 'launches': topic slugs like 'artificial-intelligence', 'productivity'. For 'products': product slugs like 'chatgpt', 'notion'. For 'leaderboard': ignored (uses today's date). Leave empty to scrape the homepage. ## `maxResults` (type: `integer`): Maximum total number of results to return across all queries/days. ## `startDate` (type: `string`): Start date for historical leaderboard scraping (YYYY-MM-DD). If omitted, scrapes today only. Use with endDate to scrape a range. ## `endDate` (type: `string`): End date for historical leaderboard scraping (YYYY-MM-DD, inclusive). Defaults to startDate if only startDate given. ## `maxPerDay` (type: `integer`): Cap results per daily leaderboard (e.g. 10 for top-10-per-day). Defaults to maxResults if unset. ## `scrapeType` (type: `string`): What to scrape: 'launches' = daily featured products from homepage/topic pages, 'products' = full product profiles, 'leaderboard' = ranked products by day. ## `proxyConfiguration` (type: `object`): Proxy settings. Leave default for best results. ## Actor input object example ```json { "queries": [ "artificial-intelligence", "developer-tools" ], "maxResults": 50, "scrapeType": "launches" } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "queries": [ "artificial-intelligence", "developer-tools" ], "maxResults": 50, "scrapeType": "launches" }; // Run the Actor and wait for it to finish const run = await client.actor("thirdwatch/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 = { "queries": [ "artificial-intelligence", "developer-tools", ], "maxResults": 50, "scrapeType": "launches", } # Run the Actor and wait for it to finish run = client.actor("thirdwatch/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 '{ "queries": [ "artificial-intelligence", "developer-tools" ], "maxResults": 50, "scrapeType": "launches" }' | apify call thirdwatch/producthunt-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=thirdwatch/producthunt-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Product Hunt Scraper - Launches, Products & Leaderboard", "description": "Scrape Product Hunt launches, product profiles, and leaderboard rankings. Extract name, tagline, votes, comments, topics, pricing, reviews, and website URLs. Daily featured products, category browsing, and historical leaderboard data.", "version": "0.1", "x-build-id": "6GywzPdkR78VXze76" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/thirdwatch~producthunt-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-thirdwatch-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/thirdwatch~producthunt-scraper/runs": { "post": { "operationId": "runs-sync-thirdwatch-producthunt-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/thirdwatch~producthunt-scraper/run-sync": { "post": { "operationId": "run-sync-thirdwatch-producthunt-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "queries": { "title": "Queries / Category Slugs", "type": "array", "description": "Search terms or topic slugs to scrape. For 'launches': topic slugs like 'artificial-intelligence', 'productivity'. For 'products': product slugs like 'chatgpt', 'notion'. For 'leaderboard': ignored (uses today's date). Leave empty to scrape the homepage.", "default": [], "items": { "type": "string" } }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Maximum total number of results to return across all queries/days.", "default": 50 }, "startDate": { "title": "Start Date (leaderboard mode)", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "type": "string", "description": "Start date for historical leaderboard scraping (YYYY-MM-DD). If omitted, scrapes today only. Use with endDate to scrape a range." }, "endDate": { "title": "End Date (leaderboard mode)", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "type": "string", "description": "End date for historical leaderboard scraping (YYYY-MM-DD, inclusive). Defaults to startDate if only startDate given." }, "maxPerDay": { "title": "Max Results Per Day (leaderboard mode)", "minimum": 1, "maximum": 100, "type": "integer", "description": "Cap results per daily leaderboard (e.g. 10 for top-10-per-day). Defaults to maxResults if unset." }, "scrapeType": { "title": "Scrape Type", "enum": [ "launches", "products", "leaderboard" ], "type": "string", "description": "What to scrape: 'launches' = daily featured products from homepage/topic pages, 'products' = full product profiles, 'leaderboard' = ranked products by day.", "default": "launches" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Leave default for best results." } } }, "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 } } } } } } } } } } ```