# TechCrunch Scraper (`dadhalfdev/techcrunch-scraper`) Actor Stay ahead of the curve with the latest news from TechCrunch, a leading global media property dedicated to profiling startups, reviewing new internet products, and breaking the latest tech and AI news. - **URL**: https://apify.com/dadhalfdev/techcrunch-scraper.md - **Developed by:** [Marco Rodrigues](https://apify.com/dadhalfdev) (community) - **Categories:** News, Agents, AI - **Stats:** 8 total users, 2 monthly users, 84.6% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## TechCrunch News Scraper Stay ahead of the curve with the latest tech and AI news! This powerful scraper extracts up to **100 articles per run** from [TechCrunch]("https://techcrunch.com/"). ### 🚀 Why Use This Scraper? Our scraper specializes in capturing the latest AI breakthroughs, startup innovations, and tech trends that matter most. ### 📊 What You Get Extract comprehensive article data including: - **Article titles and full content** - **Author information and links** - **Publication dates** - **Categorized tags** (AI, Startups, Security, etc.) - **Direct article links** - **Unique article IDs** ### 🎯 Available Categories Choose from these trending categories: - **AI** - Latest artificial intelligence news and breakthroughs - **Latest** - Most recent TechCrunch articles - **Startups** - Emerging companies and funding news - **Venture** - Investment and VC updates - **Security** - Cybersecurity developments - **Apple** - Apple ecosystem news - **Apps** - Mobile and software applications ### 📈 Output Example Here's what you can expect from each scraped article: ```json { "id": 3043894, "title": "Sam Altman says that bots are making social media feel 'fake'", "link": "https://techcrunch.com/2025/09/08/sam-altman-says-that-bots-are-making-social-media-feel-fake/", "date": "2025-09-08T15:24:42-07:00", "content": "X enthusiast and Reddit shareholder Sam Altman had an epiphany on Monday: Bots have made it impossible to determine whether social media posts are really written by humans...", "author_id": 2703812, "author_name": "Julie Bort", "author_link": "https://techcrunch.com/author/julie-bort/", "category": "AI", "terms": [ "AI", "Social", "TC", "social media", "Reddit", "sam altman" ] } ```` ### 🔧 Input Example Configure your scraper with these parameters: ```json { "category": "AI", "max_posts": 100 } ``` **Parameters:** - **category**: Choose from `Latest`, `Startups`, `Venture`, `Apple`, `Security`, `AI`, `Apps` - **max\_posts**: Maximum number of articles to scrape (default: 100) ### ⚡ Quick Start 1. **Select your category** - I recommend starting with "AI" for the hottest content 2. **Set max\_posts** - Choose how many articles you want (up to 100) 3. **Run the scraper** - Get your articles in minutes 4. **Download your data** - Export as JSON, CSV, or other formats Perfect for researchers, content creators, investors, and anyone who needs to stay informed about the rapidly evolving tech landscape! # Actor input Schema ## `category` (type: `string`): Choose which TechCrunch category to scrape. AI category is highly recommended for the latest artificial intelligence news and trends. ## `max_posts` (type: `integer`): Maximum number of posts to scrape. Default is 100. ## Actor input object example ```json { "category": "AI", "max_posts": 100 } ``` # Actor output Schema ## `results` (type: `string`): Dataset items containing article metadata, content, publication date, author details, category, and tags. # 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("dadhalfdev/techcrunch-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("dadhalfdev/techcrunch-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 dadhalfdev/techcrunch-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dadhalfdev/techcrunch-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TechCrunch Scraper", "description": "Stay ahead of the curve with the latest news from TechCrunch, a leading global media property dedicated to profiling startups, reviewing new internet products, and breaking the latest tech and AI news.", "version": "0.1", "x-build-id": "nhOOFBh9uXlaPtGDi" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dadhalfdev~techcrunch-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dadhalfdev-techcrunch-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dadhalfdev~techcrunch-scraper/runs": { "post": { "operationId": "runs-sync-dadhalfdev-techcrunch-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dadhalfdev~techcrunch-scraper/run-sync": { "post": { "operationId": "run-sync-dadhalfdev-techcrunch-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "category" ], "properties": { "category": { "title": "Category", "enum": [ "Latest", "Startups", "Venture", "Apple", "Security", "AI", "Apps" ], "type": "string", "description": "Choose which TechCrunch category to scrape. AI category is highly recommended for the latest artificial intelligence news and trends.", "default": "AI" }, "max_posts": { "title": "Max Posts", "minimum": 10, "maximum": 100, "type": "integer", "description": "Maximum number of posts to scrape. Default is 100.", "default": 100 } } }, "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 } } } } } } } } } } ```