# Techcrunch News Scraper (`xtracto/techcrunch-scraper`) Actor - **URL**: https://apify.com/xtracto/techcrunch-scraper.md - **Developed by:** [Xtractoo](https://apify.com/xtracto) (community) - **Categories:** News, Lead generation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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. 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 Article Scraper Extract full article text, headline, author, publication date, and description from any **techcrunch.com** article URL. TechCrunch is the leading source for startup news, venture capital, and technology industry coverage, with no hard paywall on standard articles. ### Why Use This Actor? - **Startup intelligence** - monitor funding rounds, product launches, and acquisitions as they break. - **VC and investor research** - track which startups are getting attention and which investors are active. - **Tech trend analysis** - aggregate TechCrunch coverage to identify emerging technology patterns. - **Event coverage** - TechCrunch Disrupt and other major tech events are covered in depth. ### How It Works This actor uses **only HTTP requests** - no browser, no Selenium, no Playwright. Articles are extracted in seconds with RAM usage well under 256 MB. ### Input ```json { "url": "https://techcrunch.com/2026/04/12/example-article-slug/", "urls": [ "https://techcrunch.com/2026/04/12/article-one/", "https://techcrunch.com/2026/04/11/article-two/" ] , "mode": "article", "limit": 10 } ```` ### Output ```json { "url": "https://techcrunch.com/2026/04/19/openais-existential-questions/", "source": "TechCrunch", "title": "OpenAI’s existential questions", "content": "OpenAI has been all over the news recently, whether that news is aboutacquisitions,competition with Anthropic, orbigger debates about AI’s impact on society. On the latest episode ofTechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and I did our best to round up all the latest OpenAI news. While the company’s latest acquisitions seem to be classic acqui-hires, Sean suggested they also address “two big existential problems that OpenAI is...", "published_date": "2026-04-19T14:24:06", "modified_date": "2026-04-19T14:24:14", "description": "On the latest episode of Equity, we discuss OpenAI’s latest acquisitions and whether they address “two big existential problems” for the company." } ``` ### Fetch Latest News Set `mode` to `"latest"` to fetch the newest article URLs and titles from TechCrunch instead of extracting a single article. **Input:** ```json { "mode": "latest", "limit": 10 } ``` **Output** - array of objects: ```json [ { "url": "https://techcrunch.com/2026/04/19/openais-existential-questions/", "title": "OpenAI’s existential questions", "published_date": "Sun, 19 Apr 2026 21:24:06 +0000", "source": "TechCrunch" } //... ] ``` Source: `https://techcrunch.com/feed/` (RSS feed) ### Notes - TechCrunch uses WordPress REST API, which provides cleaner data than HTML parsing - Extra fields like `modified_date` are returned when available via the API ### Other News Actors Need a different news source? All actors in this collection: | Actor | Source | |---|---| | [`aljazeera-scraper`](https://apify.com/xtracto/aljazeera-scraper) | Al Jazeera | | [`apnews-scraper`](https://apify.com/xtracto/apnews-scraper) | AP News | | [`bbc-scraper`](https://apify.com/xtracto/bbc-scraper) | BBC News | | [`cnbc-scraper`](https://apify.com/xtracto/cnbc-scraper) | CNBC | | [`forbes-scraper`](https://apify.com/xtracto/forbes-scraper) | Forbes | | [`fortune-scraper`](https://apify.com/xtracto/fortune-scraper) | Fortune | | [`ft-scraper`](https://apify.com/xtracto/ft-scraper) | Financial Times | | [`guardian-scraper`](https://apify.com/xtracto/guardian-scraper) | The Guardian | | [`msn-scraper`](https://apify.com/xtracto/msn-scraper) | MSN News | | [`nytimes-scraper`](https://apify.com/xtracto/nytimes-scraper) | New York Times | | [`reuters-scraper`](https://apify.com/xtracto/reuters-scraper) | Reuters | | [`scmp-scraper`](https://apify.com/xtracto/scmp-scraper) | South China Morning Post | | [`techcrunch-scraper`](https://apify.com/xtracto/techcrunch-scraper) | TechCrunch | | [`upi-scraper`](https://apify.com/xtracto/upi-scraper) | UPI | | [`yahoo-finance-scraper`](https://apify.com/xtracto/yahoo-finance-scraper) | Yahoo Finance | | [`smart-news-loader`](https://apify.com/xtracto/smart-news-loader) | Any URL - adaptive HTTP loader | | [`bloomberg-scraper`](https://apify.com/xtracto/bloomberg-news-article-scraper) | Bloomberg |s All actors support `mode: "latest"` for fetching newest article URLs from each source. # Actor input Schema ## `url` (type: `string`): Single article URL to extract. ## `urls` (type: `array`): List of article URLs to extract. ## `mode` (type: `string`): Operation mode: 'article' to extract a single article (default), 'latest' to fetch newest headlines from the source's RSS feed. ## `limit` (type: `integer`): Number of latest articles to return when mode is 'latest'. Default: 10. ## Actor input object example ```json { "mode": "article", "limit": 10 } ``` # 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("xtracto/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("xtracto/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 xtracto/techcrunch-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=xtracto/techcrunch-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Techcrunch News Scraper", "version": "1.0", "x-build-id": "xFAg16qsXmNbJhOg3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/xtracto~techcrunch-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-xtracto-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/xtracto~techcrunch-scraper/runs": { "post": { "operationId": "runs-sync-xtracto-techcrunch-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/xtracto~techcrunch-scraper/run-sync": { "post": { "operationId": "run-sync-xtracto-techcrunch-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "url": { "title": "Article URL", "type": "string", "description": "Single article URL to extract." }, "urls": { "title": "Article URLs", "type": "array", "description": "List of article URLs to extract.", "items": { "type": "string" } }, "mode": { "title": "Mode", "enum": [ "article", "latest" ], "type": "string", "description": "Operation mode: 'article' to extract a single article (default), 'latest' to fetch newest headlines from the source's RSS feed.", "default": "article" }, "limit": { "title": "Limit", "type": "integer", "description": "Number of latest articles to return when mode is 'latest'. Default: 10.", "default": 10 } } }, "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 } } } } } } } } } } ```