# Product Hunt Scraper — RSS & GraphQL (`mattdef/producthunt-scraper`) Actor Scrape Product Hunt products for startup research, product discovery, and market analysis. Free RSS mode (no auth) gets 50 latest products. GraphQL mode with developer token unlocks votes, topics, makers, rankings and more. - **URL**: https://apify.com/mattdef/producthunt-scraper.md - **Developed by:** [Matthieu Cast](https://apify.com/mattdef) (community) - **Categories:** Developer tools, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% 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 Scrape Product Hunt products for startup research, product discovery, and market analysis. #### Modes | Mode | Auth | Data | Max Items | Best For | |------|:----:|------|:---------:|----------| | **RSS** (default) | ❌ None | Name, tagline, author, dates, URLs | 50 | Quick discovery, monitoring | | **GraphQL** | ✅ Token | + votes, topics, website, makers, description | 500 | Deep analysis, lead gen | #### Use Cases - 🚀 **Startup discovery** — Find trending new products daily - 📊 **Market research** — Analyze product categories and trends - 🎯 **Lead generation** — Find makers and their contact info - 📈 **Competitive analysis** — Track competitors' launches - 🔍 **Deal sourcing** — Identify promising startups for acquisition #### Input Parameters | Parameter | Mode | Description | |-----------|:----:|-------------| | `mode` | All | `rss` (free) or `graphql` (requires token) | | `developerToken` | GraphQL | Your PH developer token | | `maxItems` | All | Max products to fetch (1-500) | | `topic` | GraphQL | Filter by topic slug (e.g., `artificial-intelligence`) | | `postedAfter` | GraphQL | Filter by date (YYYY-MM-DD) | | `postedBefore` | GraphQL | Filter by date (YYYY-MM-DD) | | `sortBy` | GraphQL | `VOTES`, `NEWEST`, `FEATURED_AT`, or `RANKING` | #### Getting a Developer Token (GraphQL mode) 1. Go to https://www.producthunt.com/v2/oauth/applications 2. Create a new application 3. Copy your developer token 4. Paste it in the `developerToken` field #### Output Each product contains: **RSS mode:** ```json { "id": "1187442", "name": "Pennen", "tagline": "One quiet handwritten page a day. No feed, no AI.", "slug": "pennen", "author": "Ishaan Rawat", "publishedAt": "2026-07-03T14:30:43-07:00", "url": "https://www.producthunt.com/products/pennen", "source": "rss" } ```` **GraphQL mode (additional fields):** ```json { "votesCount": 42, "commentsCount": 12, "reviewsCount": 3, "reviewsRating": 4.5, "website": "https://pennen.app", "dailyRank": 1, "weeklyRank": 5, "monthlyRank": 23, "yearlyRank": 156, "topics": [{"name": "Productivity", "slug": "productivity"}], "makers": [{"name": "John", "username": "john", "headline": "Builder", "twitterUsername": "john", "followersCount": 1200, "websiteUrl": "https://john.dev"}], "thumbnail": {"url": "...", "type": "image"}, "description": "Full product description...", "source": "graphql" } ``` #### Technical Details - **RSS mode**: Uses ProductHunt's public Atom feed (no authentication required) - **GraphQL mode**: Uses ProductHunt's official GraphQL API v2 - **No browser automation**: Direct HTTP requests, fast and reliable - **Rate limiting**: Built-in delays between paginated requests #### Limitations - RSS mode: Limited to 50 latest products, no vote counts - GraphQL mode: Requires developer token, rate-limited by ProductHunt - ProductHunt API must not be used for commercial purposes without permission # Actor input Schema ## `mode` (type: `string`): RSS mode works without authentication. GraphQL mode requires a developer token and provides enriched data (votes, topics, website). ## `developerToken` (type: `string`): Your Product Hunt developer token. Get one at https://www.producthunt.com/v2/oauth/applications. Only required for GraphQL mode. ## `maxItems` (type: `integer`): Maximum number of products to fetch. RSS mode: max 50 (latest products). GraphQL mode: up to 500. ## `topic` (type: `string`): Filter products by topic slug. Examples: artificial-intelligence, saas, developer-tools, productivity, design. Leave empty for all topics. ## `postedAfter` (type: `string`): Only fetch products posted after this date. Format: YYYY-MM-DD. Leave empty for no filter. ## `postedBefore` (type: `string`): Only fetch products posted before this date. Format: YYYY-MM-DD. Leave empty for no filter. ## `sortBy` (type: `string`): How to sort results. ## Actor input object example ```json { "mode": "rss", "maxItems": 50, "sortBy": "VOTES" } ``` # 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("mattdef/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("mattdef/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 mattdef/producthunt-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=mattdef/producthunt-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Product Hunt Scraper — RSS & GraphQL", "description": "Scrape Product Hunt products for startup research, product discovery, and market analysis. Free RSS mode (no auth) gets 50 latest products. GraphQL mode with developer token unlocks votes, topics, makers, rankings and more.", "version": "1.0", "x-build-id": "DBv4f0yw5hXQkpPfl" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/mattdef~producthunt-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-mattdef-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/mattdef~producthunt-scraper/runs": { "post": { "operationId": "runs-sync-mattdef-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/mattdef~producthunt-scraper/run-sync": { "post": { "operationId": "run-sync-mattdef-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": "Data Source", "enum": [ "rss", "graphql" ], "type": "string", "description": "RSS mode works without authentication. GraphQL mode requires a developer token and provides enriched data (votes, topics, website).", "default": "rss" }, "developerToken": { "title": "Developer Token (GraphQL mode only)", "type": "string", "description": "Your Product Hunt developer token. Get one at https://www.producthunt.com/v2/oauth/applications. Only required for GraphQL mode." }, "maxItems": { "title": "Max Products", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of products to fetch. RSS mode: max 50 (latest products). GraphQL mode: up to 500.", "default": 50 }, "topic": { "title": "Filter by Topic (GraphQL mode only)", "type": "string", "description": "Filter products by topic slug. Examples: artificial-intelligence, saas, developer-tools, productivity, design. Leave empty for all topics." }, "postedAfter": { "title": "Posted After (GraphQL mode only)", "type": "string", "description": "Only fetch products posted after this date. Format: YYYY-MM-DD. Leave empty for no filter." }, "postedBefore": { "title": "Posted Before (GraphQL mode only)", "type": "string", "description": "Only fetch products posted before this date. Format: YYYY-MM-DD. Leave empty for no filter." }, "sortBy": { "title": "Sort By (GraphQL mode only)", "enum": [ "VOTES", "NEWEST", "FEATURED_AT", "RANKING" ], "type": "string", "description": "How to sort results.", "default": "VOTES" } } }, "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 } } } } } } } } } } ```