# Product Hunt Scraper - Launches, Topics & Makers (`legend006/producthunt-scraper`) Actor Scrape Product Hunt launches via the official GraphQL API. Filter by date, topic, or featured status. Returns name, tagline, description, votes, comments, makers, topics, and links. Built for founders, marketers, VCs, and trend hunters. - **URL**: https://apify.com/legend006/producthunt-scraper.md - **Developed by:** [NIJ KANANI](https://apify.com/legend006) (community) - **Categories:** Lead generation, AI - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 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. 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** via the official GraphQL API. Filter by date, topic, or featured status. Get name, tagline, votes, comments, makers, topics, links, and media. > 🎯 Built for founders, marketers, agencies, VCs, and content creators who track competitor launches and emerging products. --- ### ✨ What you can do - 🆕 **Recent launches** — newest first, all categories - 🏷️ **By topic** — `artificial-intelligence`, `developer-tools`, `design-tools`, etc. - ⭐ **Featured launches** — only PH-curated home-page features - 📅 **Date range filter** — pull specific weeks or months - 📊 **Sort by** — RANKING / NEWEST / VOTES / FEATURED_AT --- ### 🚀 Quick start ```json { "mode": "topic", "topics": ["artificial-intelligence", "developer-tools"], "postedAfter": "2026-04-01", "order": "VOTES", "maxItems": 200, "developerToken": "your_token_here" } ```` *** ### 🔑 Get the Developer Token (free, 2 min) 1. Sign in at **https://api.producthunt.com/v2/oauth/applications** 2. Click **"ADD AN APPLICATION"** 3. Fill any name (e.g. `apify-scraper`) + redirect URI `http://localhost` 4. After creation, click **"CREATE TOKEN"** (for testing) 5. Copy the long token string → paste in the input field above Token quota: ~6,000 requests / 15 minutes (plenty for any scrape). *** ### 📥 Input | Field | Description | |---|---| | `mode` | `recent` / `topic` / `featured` | | `topics` | Topic slugs (mode = topic) | | `postedAfter`, `postedBefore` | ISO date range | | `featuredOnly` | Only PH-featured launches | | `order` | `RANKING` / `NEWEST` / `VOTES` / `FEATURED_AT` | | `maxItems` | Cap per target | | `developerToken` | **REQUIRED** — see above | *** ### 📤 Output (per launch) ```json { "id": "12345", "name": "Awesome Tool", "tagline": "Does X better than Y", "description": "Long product description", "slug": "awesome-tool", "url": "https://www.producthunt.com/posts/awesome-tool", "website": "https://awesometool.com", "votesCount": 1234, "commentsCount": 87, "reviewsCount": 12, "reviewsRating": 4.8, "createdAt": "2026-04-15T...", "featuredAt": "2026-04-16T...", "thumbnail": "https://...", "media": [{ "url": "https://...", "type": "image" }], "topics": [{ "name": "Artificial Intelligence", "slug": "artificial-intelligence" }], "makers": [{ "name": "Founder", "username": "founder", "profileUrl": "https://..." }], "productLinks": [{ "type": "WEBSITE", "url": "https://awesometool.com" }], "scrapedAt": "2026-05-06T..." } ``` *** ### 🎯 Use cases | Who | Why | |---|---| | 🚀 Indie founders | Track competitor launches in your niche | | 📈 Marketers | Discover trending tools to write about | | 💰 VCs / scouts | Early-stage signal, identify rising products | | 📰 Journalists | Auto-build "best new tools" newsletters | | 🎯 Agencies | Outreach to fresh-launch makers | *** ### ⚙️ Tech notes - Uses Product Hunt's official GraphQL API v2 - All fields fetched in one paginated query - Quota-aware retries with exponential backoff - Token never logged, never stored — only sent to Product Hunt's servers # Actor input Schema ## `mode` (type: `string`): 'recent' = newest launches; 'topic' = launches in a topic slug; 'featured' = featured launches by date. ## `topics` (type: `array`): Topic slugs (e.g. 'artificial-intelligence', 'developer-tools', 'design-tools'). Used in mode = topic. ## `postedAfter` (type: `string`): Lower bound on createdAt (e.g. 2026-04-01). Optional. ## `postedBefore` (type: `string`): Upper bound on createdAt. Optional. ## `featuredOnly` (type: `boolean`): If true, only return launches that were featured on the home page. ## `order` (type: `string`): RANKING (PH's default) / NEWEST / VOTES / FEATURED\_AT. ## `maxItems` (type: `integer`): Cap on launches returned per target (topic or run). ## `developerToken` (type: `string`): Required. Free token from https://api.producthunt.com/v2/oauth/applications — create an application (any name), then 'Create Token (for testing)'. Paste the long string. We use the official GraphQL API. ## Actor input object example ```json { "mode": "recent", "topics": [ "artificial-intelligence" ], "featuredOnly": false, "order": "NEWEST", "maxItems": 100 } ``` # 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("legend006/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("legend006/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 legend006/producthunt-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=legend006/producthunt-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Product Hunt Scraper - Launches, Topics & Makers", "description": "Scrape Product Hunt launches via the official GraphQL API. Filter by date, topic, or featured status. Returns name, tagline, description, votes, comments, makers, topics, and links. Built for founders, marketers, VCs, and trend hunters.", "version": "0.1", "x-build-id": "h9trpDTvQBgGWZFWk" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/legend006~producthunt-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-legend006-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/legend006~producthunt-scraper/runs": { "post": { "operationId": "runs-sync-legend006-producthunt-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/legend006~producthunt-scraper/run-sync": { "post": { "operationId": "run-sync-legend006-producthunt-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "mode" ], "properties": { "mode": { "title": "Scrape mode", "enum": [ "recent", "topic", "featured" ], "type": "string", "description": "'recent' = newest launches; 'topic' = launches in a topic slug; 'featured' = featured launches by date.", "default": "recent" }, "topics": { "title": "Topic slugs", "type": "array", "description": "Topic slugs (e.g. 'artificial-intelligence', 'developer-tools', 'design-tools'). Used in mode = topic.", "default": [ "artificial-intelligence" ], "items": { "type": "string" } }, "postedAfter": { "title": "Posted after (ISO date)", "type": "string", "description": "Lower bound on createdAt (e.g. 2026-04-01). Optional." }, "postedBefore": { "title": "Posted before (ISO date)", "type": "string", "description": "Upper bound on createdAt. Optional." }, "featuredOnly": { "title": "Featured only", "type": "boolean", "description": "If true, only return launches that were featured on the home page.", "default": false }, "order": { "title": "Sort order", "enum": [ "RANKING", "NEWEST", "VOTES", "FEATURED_AT" ], "type": "string", "description": "RANKING (PH's default) / NEWEST / VOTES / FEATURED_AT.", "default": "NEWEST" }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Cap on launches returned per target (topic or run).", "default": 100 }, "developerToken": { "title": "Product Hunt Developer Token ⚠️ Required", "type": "string", "description": "Required. Free token from https://api.producthunt.com/v2/oauth/applications — create an application (any name), then 'Create Token (for testing)'. Paste the long string. We use the official GraphQL API." } } }, "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 } } } } } } } } } } ```