# Product Hunt Launches Scraper — Top Products, Votes, Makers (`seemuapps/product-hunt-launches-scraper`) Actor Get the top Product Hunt launches by date, name, tagline, votes, comments, makers, topics, and website links - **URL**: https://apify.com/seemuapps/product-hunt-launches-scraper.md - **Developed by:** [Andrew](https://apify.com/seemuapps) (community) - **Categories:** Social media, Lead generation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 launches 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 Launches Scraper — Top Products, Votes, Makers Get the top Product Hunt launches by date — name, tagline, votes, comments, makers, topics, and website links — in one clean dataset. No login. ### What you get - Product name, slug, tagline, full description, and Product Hunt URL - Vote count, comment count, and review count for every launch - Created and featured timestamps so you can group by day - Maker list: name, username, and headline for every co-founder credited on the launch - Topic slugs and pretty topic names (e.g. `productivity`, `developer-tools`, `artificial-intelligence`) - Direct website link and thumbnail image URL - Date-range and topic filtering plus ordering by votes, ranking, newest, or featured-at - Export to JSON, CSV, Excel, or Google Sheets directly from the Apify console ### Use cases - Market research — track which categories are trending on Product Hunt week over week - Competitive analysis — pull every launch in your niche and benchmark votes vs. comments - Lead generation — get maker usernames for outreach to founders launching in your space - Investor sourcing — surface high-traction launches before they leave the Today page - Content & newsletter ideas — feed a daily digest of the top launches in any topic ### How to use 1. (Optional) Enter **Posted after** and **Posted before** as `YYYY-MM-DD` — leave empty for the last 7 days 2. (Optional) Enter a **Topic slug** like `productivity`, `developer-tools`, or `artificial-intelligence` 3. Pick an **Order** — Most votes, Daily ranking, Newest, or Featured at (default: Most votes) 4. Set **Max items** (default 50, max 1000) 5. Run the actor — one launch per row in the **Dataset** tab ### Output format One launch per dataset row — ready for direct CSV, Excel, or Google Sheets export: ```json { "id": "601234", "name": "Example Product", "slug": "example-product", "tagline": "Ship faster with one click", "description": "Example Product helps teams ship faster with one click deploys…", "votes": 842, "comments": 96, "reviews": 12, "createdAt": "2026-05-22T07:01:00Z", "featuredAt": "2026-05-22T07:01:00Z", "website": "https://example.com", "productHuntUrl": "https://www.producthunt.com/posts/example-product", "thumbnailUrl": "https://ph-files.imgix.net/abc.png", "makers": [ { "id": "1", "name": "Jane Doe", "username": "janedoe", "headline": "Founder, Example" } ], "topics": ["developer-tools", "productivity"], "topicNames": ["Developer Tools", "Productivity"], "scrapedAt": "2026-05-23T12:00:00Z" } ```` ### Input options | Field | Type | Description | |-------|------|-------------| | Posted after | string | ISO date `YYYY-MM-DD` — earliest launch date to include. Empty = 7 days ago | | Posted before | string | ISO date `YYYY-MM-DD` — latest launch date to include. Empty = today | | Topic slug | string | Topic slug filter, e.g. `developer-tools`. Empty = all topics | | Order | enum | Most votes, Daily ranking, Newest, or Featured at — default Most votes | | Max items | integer | Maximum launches to return — default 50, max 1000 | # Actor input Schema ## `postedAfter` (type: `string`): Only include launches posted on or after this date. Leave empty to default to 7 days ago. ## `postedBefore` (type: `string`): Only include launches posted on or before this date. Leave empty to default to today. ## `topic` (type: `string`): Filter by topic slug — e.g. 'productivity', 'developer-tools', 'artificial-intelligence'. Leave empty for all topics. ## `order` (type: `string`): How to order the launches returned by Product Hunt. ## `maxItems` (type: `integer`): Maximum number of launches to return in this run. ## Actor input object example ```json { "order": "VOTES", "maxItems": 50 } ``` # Actor output Schema ## `results` (type: `string`): One row per launch: name, tagline, description, votes, comments, reviews, makers, topics, website, and Product Hunt URL. # 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 = { "postedAfter": "", "postedBefore": "", "topic": "" }; // Run the Actor and wait for it to finish const run = await client.actor("seemuapps/product-hunt-launches-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 = { "postedAfter": "", "postedBefore": "", "topic": "", } # Run the Actor and wait for it to finish run = client.actor("seemuapps/product-hunt-launches-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 '{ "postedAfter": "", "postedBefore": "", "topic": "" }' | apify call seemuapps/product-hunt-launches-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seemuapps/product-hunt-launches-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Product Hunt Launches Scraper — Top Products, Votes, Makers", "description": "Get the top Product Hunt launches by date, name, tagline, votes, comments, makers, topics, and website links", "version": "1.0", "x-build-id": "MD6bNKiYrAi48yBwb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seemuapps~product-hunt-launches-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seemuapps-product-hunt-launches-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seemuapps~product-hunt-launches-scraper/runs": { "post": { "operationId": "runs-sync-seemuapps-product-hunt-launches-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seemuapps~product-hunt-launches-scraper/run-sync": { "post": { "operationId": "run-sync-seemuapps-product-hunt-launches-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "postedAfter": { "title": "Posted after (YYYY-MM-DD)", "type": "string", "description": "Only include launches posted on or after this date. Leave empty to default to 7 days ago." }, "postedBefore": { "title": "Posted before (YYYY-MM-DD)", "type": "string", "description": "Only include launches posted on or before this date. Leave empty to default to today." }, "topic": { "title": "Topic slug", "type": "string", "description": "Filter by topic slug — e.g. 'productivity', 'developer-tools', 'artificial-intelligence'. Leave empty for all topics." }, "order": { "title": "Order", "enum": [ "VOTES", "RANKING", "NEWEST", "FEATURED_AT" ], "type": "string", "description": "How to order the launches returned by Product Hunt.", "default": "VOTES" }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of launches to return in this run.", "default": 50 } } }, "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 } } } } } } } } } } ```