# Product Hunt Scraper & Launch Tracker (`darknezz/product-hunt-scraper`) Actor Scrape Product Hunt launches, products, topics, and search results. Extract names, taglines, upvotes, makers, topics, media, and launch dates. Perfect for lead generation, competitor analysis, and market research. - **URL**: https://apify.com/darknezz/product-hunt-scraper.md - **Developed by:** [Oaida Adrian](https://apify.com/darknezz) (community) - **Categories:** Lead generation, Marketing - **Stats:** 2 total users, 1 monthly users, 0.0% 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/platform/actors/running/actors-in-store#pay-per-usage ## 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 & Launch Tracker Scrape Product Hunt for product launches, topics, and search results. Extracts: - Product name, tagline, and description - Upvotes / vote count - Makers (name, username, headline) - Topics / categories - Media (thumbnail, images, video) - Launch date and last updated - Website URL and Product Hunt URL ### Input Options | Option | Description | |--------|-------------| | `startUrls` | Specific Product Hunt product URLs to scrape | | `topic` | Comma-separated topics (e.g. `artificial-intelligence, saas`) | | `searchQuery` | Search Product Hunt for matching products | | `scrapeFrontPage` | Scrape today's front page launches | | `maxProducts` | Maximum products to return (default: 50) | ### Output Each item in the dataset contains: ```json { "id": "a1b2c3...", "phId": "12345", "name": "Product Name", "tagline": "One-line description", "description": "Full description", "url": "https://www.producthunt.com/products/...", "website": "https://...", "upvotes": 250, "topics": ["Artificial Intelligence", "SaaS"], "makers": [{"name": "Jane", "username": "jane", "headline": "Builder"}], "media": [{"type": "thumbnail", "url": "https://..."}], "launchedAt": "2026-07-01T00:00:00Z", "pricingType": "free", "reviewsCount": 15, "rating": 4.5 } ```` ### Pricing Pay-per-event: **$0.01 per product extracted**. ### Use Cases - **Lead generation**: Find new startups and their makers - **Market research**: Track competitor launches - **Trend analysis**: Monitor trending topics and categories - **Investment scouting**: Discover high-upvote products early # Actor input Schema ## `startUrls` (type: `array`): Specific Product Hunt product URLs to scrape. ## `topic` (type: `string`): Comma-separated Product Hunt topics to scrape (e.g. artificial-intelligence, developer-tools, saas). ## `searchQuery` (type: `string`): Search Product Hunt for products matching this query. ## `scrapeFrontPage` (type: `boolean`): Scrape today's Product Hunt front page launches. ## `maxProducts` (type: `integer`): Maximum number of products to return. ## `proxyConfiguration` (type: `object`): Use Apify proxy to avoid rate limits. ## Actor input object example ```json { "topic": "", "searchQuery": "", "scrapeFrontPage": false, "maxProducts": 50, "proxyConfiguration": { "useApifyProxy": true } } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("darknezz/product-hunt-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "proxyConfiguration": { "useApifyProxy": True } } # Run the Actor and wait for it to finish run = client.actor("darknezz/product-hunt-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 '{ "proxyConfiguration": { "useApifyProxy": true } }' | apify call darknezz/product-hunt-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=darknezz/product-hunt-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Product Hunt Scraper & Launch Tracker", "description": "Scrape Product Hunt launches, products, topics, and search results. Extract names, taglines, upvotes, makers, topics, media, and launch dates. Perfect for lead generation, competitor analysis, and market research.", "version": "0.1", "x-build-id": "zxiplliggqPJCAWyq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/darknezz~product-hunt-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-darknezz-product-hunt-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/darknezz~product-hunt-scraper/runs": { "post": { "operationId": "runs-sync-darknezz-product-hunt-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/darknezz~product-hunt-scraper/run-sync": { "post": { "operationId": "run-sync-darknezz-product-hunt-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Specific Product Hunt product URLs to scrape.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "title": "URL", "description": "A Product Hunt product URL to scrape.", "type": "string" } } } }, "topic": { "title": "Topics", "type": "string", "description": "Comma-separated Product Hunt topics to scrape (e.g. artificial-intelligence, developer-tools, saas).", "default": "" }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Search Product Hunt for products matching this query.", "default": "" }, "scrapeFrontPage": { "title": "Scrape Front Page", "type": "boolean", "description": "Scrape today's Product Hunt front page launches.", "default": false }, "maxProducts": { "title": "Max Products", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of products to return.", "default": 50 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Use Apify proxy to avoid rate limits." } } }, "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 } } } } } } } } } } ```