# ProductHunt Scraper (`yawning_pit/producthunt-scraper`) Actor Extract product listings, reviews, and comments from ProductHunt. Monitor new launches, track competitor products, and build AI training datasets for startup intelligence. - **URL**: https://apify.com/yawning\_pit/producthunt-scraper.md - **Developed by:** [pit 2017](https://apify.com/yawning_pit) (community) - **Categories:** Developer tools, AI, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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 ## ProductHunt Scraper Extract product listings, reviews, and comments from [ProductHunt](https://producthunt.com). Monitor new launches, track competitors, and build AI training datasets for startup intelligence. ### What It Does - **Daily Products**: Get today's most upvoted products on ProductHunt - **Keyword Search**: Search products by topic, industry, or keyword - **Product Details**: Extract detailed info including tagline, description, votes, makers - **Comments**: Scrape user discussions for sentiment analysis ### Use Cases - **Competitor Monitoring**: Track new products in your space as they launch - **Market Research**: Analyze trends, features, and pricing patterns - **Lead Generation**: Find potential customers or partners - **AI Training Data**: Build startup/product datasets for LLMs - **Investment Intelligence**: Identify emerging products and trends ### Input #### Mode: daily (default) ```json { "mode": "daily", "daysBack": 7, "maxProducts": 100 } ```` #### Mode: search ```json { "mode": "search", "searchQuery": "AI writing tool", "maxProducts": 50 } ``` #### Mode: url ```json { "mode": "url", "productUrl": "https://www.producthunt.com/posts/chatgpt-for-writers", "includeComments": true } ``` ### Output ```jsonl {"name": "GPT Writer", "tagline": "AI writing assistant", "votes": 1200, "comments": 45, "topics": ["AI", "Writing"], "makers": ["John"], "url": "https://producthunt.com/posts/gpt-writer"} {"name": "DevTools Pro", "tagline": "Developer productivity", "votes": 890, "topics": ["Developer Tools"], "url": "https://producthunt.com/posts/devtools-pro"} ``` ### Output Files - `results.jsonl` — JSON Lines format (streaming/LLM ready) - `results.json` — Standard JSON array ### Pricing **Pay per result**: $0.0005 per product scraped **Minimum charge**: $0.01 per run ### Technical Details - Pure Python with aiohttp (no browser required) - GraphQL API for efficient data fetching - Automatic rate limiting (2s between requests) - JSONL output optimized for ML pipelines ### Related Actors | Actor | Description | |-------|-------------| | [hackernews-comment-scraper](https://apify.com/yawning_pit/hackernews-comment-scraper) | Hacker News discussions | | [reddit-post-scraper](https://apify.com/yawning_pit/reddit-post-scraper) | Reddit posts and comments | ### License MIT # Actor input Schema ## `mode` (type: `string`): 'daily' for today's products, 'search' for keyword search, 'url' for specific product page ## `searchQuery` (type: `string`): Keyword to search on ProductHunt (used when mode=search) ## `productUrl` (type: `string`): Full ProductHunt product URL (used when mode=url) ## `maxProducts` (type: `integer`): Maximum number of products to scrape ## `includeComments` (type: `boolean`): Also scrape comments for each product ## `daysBack` (type: `integer`): How many days back to look (for daily mode) ## Actor input object example ```json { "mode": "daily", "searchQuery": "", "productUrl": "", "maxProducts": 50, "includeComments": false, "daysBack": 1 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("yawning_pit/producthunt-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = {} # Run the Actor and wait for it to finish run = client.actor("yawning_pit/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 '{}' | apify call yawning_pit/producthunt-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=yawning_pit/producthunt-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ProductHunt Scraper", "description": "Extract product listings, reviews, and comments from ProductHunt. Monitor new launches, track competitor products, and build AI training datasets for startup intelligence.", "version": "0.1", "x-build-id": "KHJ2dOnPw5Qy6oLhN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/yawning_pit~producthunt-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-yawning_pit-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/yawning_pit~producthunt-scraper/runs": { "post": { "operationId": "runs-sync-yawning_pit-producthunt-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/yawning_pit~producthunt-scraper/run-sync": { "post": { "operationId": "run-sync-yawning_pit-producthunt-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "mode": { "title": "Mode", "enum": [ "daily", "search", "url" ], "type": "string", "description": "'daily' for today's products, 'search' for keyword search, 'url' for specific product page", "default": "daily" }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Keyword to search on ProductHunt (used when mode=search)", "default": "" }, "productUrl": { "title": "Product URL", "type": "string", "description": "Full ProductHunt product URL (used when mode=url)", "default": "" }, "maxProducts": { "title": "Max Products", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of products to scrape", "default": 50 }, "includeComments": { "title": "Include Comments", "type": "boolean", "description": "Also scrape comments for each product", "default": false }, "daysBack": { "title": "Days Back", "minimum": 1, "maximum": 30, "type": "integer", "description": "How many days back to look (for daily mode)", "default": 1 } } }, "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 } } } } } } } } } } ```