# Product Hunt Trending Products Scraper (`rambunctious_fingerprint/producthunt-scraper`) Actor - **URL**: https://apify.com/rambunctious\_fingerprint/producthunt-scraper.md - **Developed by:** [Casey Marsh](https://apify.com/rambunctious_fingerprint) (community) - **Categories:** AI, News, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $1.50 / 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 Daily Launches Scraper Extract product launches from Product Hunt -- the featured daily posts, newest launches, and trending products. Get product names and direct links to their Product Hunt pages. ### Summary Product Hunt is the go-to platform for discovering new tech products, with thousands of products launched every month and millions of monthly visitors including investors, founders, and early adopters. This actor extracts product launch data from Product Hunt's main feed, daily leaderboard, and weekly rankings, returning product names and direct URLs. Built with PlaywrightCrawler, the actor handles Product Hunt's modern single-page application architecture, waiting for all dynamic content to render before extracting data. It uses multiple selector strategies to find product listings and returns clean structured data. Ideal for startup researchers, investors, tech journalists, and anyone tracking innovation and new product trends in technology. ### How It Works 1. Choose a section -- featured (home page), newest (daily leaderboard), or trending (weekly). 2. Set how many products you want (up to 100). 3. The actor opens the Product Hunt page in a Playwright browser with residential proxy support. 4. It waits for the page's JavaScript to fully render and the product cards to appear. 5. For each product found, it captures the product name and direct Product Hunt URL. 6. Each product is pushed to the dataset as a structured JSON record. 7. Results are returned with product names and links ready for further exploration. ### Input Parameters | Field | Type | Required | Default | Description | |-------|------|----------|---------|-------------| | `maxResults` | integer | No | 20 | Maximum number of products to return (1-100) | | `section` | select | No | featured | PH section: featured (home), newest (daily), or trending (weekly) | ### Output Example ```json [ { "title": "Example Product", "url": "https://www.producthunt.com/posts/example-product", "source": "posts-link", "scrapedAt": "2026-07-07T04:30:00.000Z" } ] ```` ### Pricing This actor uses a pay-per-result model. You are charged only for the dataset items returned. Residential proxies are used to ensure reliable access to Product Hunt. A typical run of 20 products costs under $0.01 in total platform usage. ### Use Cases - **Startup Research**: Track which products launch each day and identify trending categories and innovation patterns. - **Competitive Monitoring**: Watch for new competitors launching in your industry vertical. - **Investment Screening**: Monitor Product Hunt for early-stage startups that may be worth investigating further. - **Content Curation**: Build a daily digest of the most interesting new products for your audience or newsletter. - **Market Trend Analysis**: Analyze categories and types of products getting attention over time. ### FAQ **Do I need a Product Hunt account or API key?** No. The actor scrapes the public website directly. **How many products does Product Hunt feature daily?** The home page typically features 10-20 products per day. The daily leaderboard expands to dozens more. **Can I scrape individual product details?** This actor collects the product name and URL from the feed. For detailed info, use the returned URLs in a follow-up scraper. **Does the daily leaderboard update in real time?** Product Hunt's daily leaderboard updates throughout the day based on upvotes. The weekly leaderboard aggregates the week's top products. **What if the page doesn't load any products?** Product Hunt is a JavaScript-heavy SPA. If the actor returns empty results, the page may have loaded differently. Retrying usually resolves this. **Can I scrape past days or categories?** The actor supports current featured, daily, and weekly pages. For historical data, consider the Product Hunt API or scheduled recurring runs. *** **Actor ID**: `producthunt-scraper` - **Runtime**: Node.js 20 - **Type**: PlaywrightCrawler # Actor input Schema ## `maxResults` (type: `integer`): Maximum number of products to return ## `section` (type: `string`): Product Hunt section: featured (home page), newest (daily leaderboard), or trending (weekly leaderboard) ## Actor input object example ```json { "maxResults": 20, "section": "featured" } ``` # 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("rambunctious_fingerprint/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("rambunctious_fingerprint/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 rambunctious_fingerprint/producthunt-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=rambunctious_fingerprint/producthunt-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Product Hunt Trending Products Scraper", "version": "0.0", "x-build-id": "VjL2416RRcoPu4HUa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/rambunctious_fingerprint~producthunt-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-rambunctious_fingerprint-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/rambunctious_fingerprint~producthunt-scraper/runs": { "post": { "operationId": "runs-sync-rambunctious_fingerprint-producthunt-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/rambunctious_fingerprint~producthunt-scraper/run-sync": { "post": { "operationId": "run-sync-rambunctious_fingerprint-producthunt-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of products to return", "default": 20 }, "section": { "title": "Section", "enum": [ "featured", "newest", "trending" ], "type": "string", "description": "Product Hunt section: featured (home page), newest (daily leaderboard), or trending (weekly leaderboard)", "default": "featured" } } }, "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 } } } } } } } } } } ```