# Yahoo News Scraper (`natasha.lekh/yahoo-news-scraper`) Actor Scrape news data from news.yahoo.com with this unofficial API. Extract articles, monitor their popularity and performance and automate the fight against fake news. Filter the results by authors, topics, categories, or publication dates. Preview or download the results in your preferred format. - **URL**: https://apify.com/natasha.lekh/yahoo-news-scraper.md - **Developed by:** [Natasha Lekh](https://apify.com/natasha.lekh) (community) - **Categories:** News - **Stats:** 5 total users, 3 monthly users, 0.0% runs succeeded, 3 bookmarks - **User rating**: No ratings yet ## Pricing $20.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 ### What does Yahoo News Scraper do? Yahoo News Scraper extracts data from news.yahoo.com. It uses a smart algorithm to decide what paged are articles and automatically extracts rich information about each article. It can scrape the entire website with one click. This free Yahoo News API will let you scrape and extract large datasets as often as you need to. The structured data can be downloaded as XML, JSON, CSV, HTML, and Excel, so that you can use it in your own applications, spreadsheets, reports, or other tools. ### How to scrape Yahoo News Yahoo News Scraper is really easy to use. Just follow these steps to start scraping. 1. Click *Try for free* 2. Use the default start URLs or customize them to only scrape a section or category on Yahoo News 3. Select the maximum number of items you want to scrape. 4. Click *Start* 5. Preview and export your data from the *Dataset* tab ### Why scrape Yahoo News? Scraping news, articles, and other content can help you gain insights into social media, monitor article popularity, track ad performance, or automate the fight against fake news. Check out how web scraping is being used in the [marketing and media industries](https://apify.com/industries/marketing-and-media) and in [research and education](https://apify.com/industries/research-and-education). For more inspiration, read [13 ways media companies can use web scraping and automation](https://blog.apify.com/how-can-the-media-use-web-scraping-and-automation/). ### How much will it cost to scrape Yahoo News? Yahoo News Scraper is very cheap to run so you can extract a large amount of articles even on an Apify free plan. If you need to get more data, you should sign up for one of our [paid plans](https://apify.com/pricing). Every Apify plan includes free monthly usage credits that you can use with Yahoo News Scraper. ### Is it legal to scrape Yahoo News? Web scraping is legal, but note that personal data is protected by GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers. We also recommend that you read our detailed blog post: [is web scraping legal?](https://blog.apify.com/is-web-scraping-legal/) ### Copyright and publishing Please be aware that most articles on the internet are under copyright protection. If you intend to publish or reuse article content, check the terms of use of Yahoo News. ### Need to scrape a different website? This scraper is based on [Smart Article Extractor](https://apify.com/lukaskrivka/article-extractor-smart). This powerful web scraping tool can be customized to scrape articles from any website. # Actor input Schema ## `startUrls` (type: `array`): Can be main page URL or any category URLs. Article pages are found and enqueued from these. ## `maxArticlesPerCrawl` (type: `integer`): Maximum number of valid articles scraped. The crawler will stop automatically after reaching this number. ## `dateFrom` (type: `string`): Only articles from this day to present will be scraped. If empty, all articles will be scraped. Format is YYYY-MM-DD, e.g. 2019-12-31, or Number type e.g. 1 week or 20 days ## `onlyNewArticlesPerDomain` (type: `boolean`): If true, will scrape only new articles each time you run it. All URLs you scraped are compared with saved ones. Scraped articles are saved in one dataset per each domain, datasets are named 'ARTICLES-SCRAPED-domain' ## Actor input object example ```json { "startUrls": [ { "url": "https://news.yahoo.com/" } ], "maxArticlesPerCrawl": 100, "onlyNewArticlesPerDomain": false } ```` # 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 = { "startUrls": [ { "url": "https://news.yahoo.com/" } ], "maxArticlesPerCrawl": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("natasha.lekh/yahoo-news-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 = { "startUrls": [{ "url": "https://news.yahoo.com/" }], "maxArticlesPerCrawl": 100, } # Run the Actor and wait for it to finish run = client.actor("natasha.lekh/yahoo-news-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 '{ "startUrls": [ { "url": "https://news.yahoo.com/" } ], "maxArticlesPerCrawl": 100 }' | apify call natasha.lekh/yahoo-news-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=natasha.lekh/yahoo-news-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Yahoo News Scraper", "description": "Scrape news data from news.yahoo.com with this unofficial API. Extract articles, monitor their popularity and performance and automate the fight against fake news. Filter the results by authors, topics, categories, or publication dates. Preview or download the results in your preferred format.", "version": "1.0", "x-build-id": "tfgHheV3hGv25C25R" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/natasha.lekh~yahoo-news-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-natasha.lekh-yahoo-news-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/natasha.lekh~yahoo-news-scraper/runs": { "post": { "operationId": "runs-sync-natasha.lekh-yahoo-news-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/natasha.lekh~yahoo-news-scraper/run-sync": { "post": { "operationId": "run-sync-natasha.lekh-yahoo-news-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "Can be main page URL or any category URLs. Article pages are found and enqueued from these.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxArticlesPerCrawl": { "title": "Maximum number of articles", "type": "integer", "description": "Maximum number of valid articles scraped. The crawler will stop automatically after reaching this number." }, "dateFrom": { "title": "Date from", "type": "string", "description": "Only articles from this day to present will be scraped. If empty, all articles will be scraped. Format is YYYY-MM-DD, e.g. 2019-12-31, or Number type e.g. 1 week or 20 days" }, "onlyNewArticlesPerDomain": { "title": "Only new articles", "type": "boolean", "description": "If true, will scrape only new articles each time you run it. All URLs you scraped are compared with saved ones. Scraped articles are saved in one dataset per each domain, datasets are named 'ARTICLES-SCRAPED-domain'", "default": false } } }, "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 } } } } } } } } } } ```