# Bing News Scraper (`gentle_cloud/bing-news-scraper`) Actor Scrape news articles from Bing News search — titles, URLs, sources, publish dates, snippets, and thumbnails. Supports keyword search, date filtering, and regional markets. No API key required. - **URL**: https://apify.com/gentle\_cloud/bing-news-scraper.md - **Developed by:** [Monkey Coder](https://apify.com/gentle_cloud) (community) - **Categories:** News, SEO tools - **Stats:** 7 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## 📰 Bing News Scraper Scrape news articles from Bing News search results — titles, URLs, sources, publish dates, snippets, and thumbnails. Supports multiple keyword search, date sorting, and regional markets. **No API key required.** ### ✨ Features - **Multi-Keyword Search**: Search for news across multiple topics in a single run - **RSS + HTML Scraping**: Uses Bing's RSS feed for clean data, with HTML scraping fallback - **Date Sorting**: Sort results by relevance or most recent - **Regional Markets**: Target 10+ markets including US, UK, Germany, France, Japan, and more - **Rich Data**: Extracts title, URL, source, publish date, snippet, and thumbnail for each article ### 🔧 How It Works 1. Configure your **search keywords** (comma-separated for multiple topics) 2. Set the **max results per keyword**, **sort order**, and **target market** 3. The Actor queries Bing News via RSS feed (primary) with HTML scraping fallback 4. Results are pushed to the Apify dataset as structured JSON ### 📋 Input Parameters | Parameter | Type | Description | |-----------|------|-------------| | `search_keywords` | string | Comma-separated keywords (e.g., `artificial intelligence, tesla`) | | `max_results` | integer | Max articles per keyword (1–100, default: 30) | | `sort_by` | string | `relevance` or `date` (most recent first) | | `market` | string | Target market: `en-US`, `en-GB`, `de-DE`, `fr-FR`, `ja-JP`, etc. | ### 📊 Sample Output ```json { "title": "OpenAI Announces New GPT Model With Enhanced Reasoning", "url": "https://www.example.com/article/openai-new-model", "snippet": "OpenAI has unveiled its latest language model featuring significantly improved reasoning capabilities and reduced hallucination rates...", "source": "TechCrunch", "published": "Mon, 17 Mar 2026 14:30:00 GMT", "thumbnail": "https://www.bing.com/th?id=OVFT.example&pid=News", "search_keyword": "artificial intelligence", "fetched_at": "2026-03-18T08:00:00.000000" } ```` ### ⚡ Rate Limits This Actor scrapes Bing News directly — no API key required. Built-in rate limiting ensures reliable operation: - **1.5s delay** between pagination requests - **Automatic retry** on HTTP 429 (rate limit) responses - **~30 articles per keyword**: Completes in ~5-10 seconds - **Multiple keywords**: Processed sequentially with delays ### 📝 Notes - Data is scraped from Bing News search results in real-time - RSS feed is used as the primary data source for cleaner, more structured output - If RSS returns no results, the Actor automatically falls back to HTML scraping - Article URLs link directly to the original source websites - Thumbnails are Bing-cached images and may expire after some time - For best results, use specific search terms rather than very broad keywords # Actor input Schema ## `search_keywords` (type: `string`): Comma-separated keywords to search for news articles (e.g., 'artificial intelligence, tesla, climate change') ## `max_results` (type: `integer`): Maximum number of news articles to fetch per keyword (default: 30, max: 100) ## `sort_by` (type: `string`): How to sort the news results ## `market` (type: `string`): Target market for localized news results ## Actor input object example ```json { "search_keywords": "artificial intelligence, tesla", "max_results": 30, "sort_by": "date", "market": "en-US" } ``` # 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 = { "search_keywords": "artificial intelligence, tesla", "max_results": 30, "sort_by": "date", "market": "en-US" }; // Run the Actor and wait for it to finish const run = await client.actor("gentle_cloud/bing-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 = { "search_keywords": "artificial intelligence, tesla", "max_results": 30, "sort_by": "date", "market": "en-US", } # Run the Actor and wait for it to finish run = client.actor("gentle_cloud/bing-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 '{ "search_keywords": "artificial intelligence, tesla", "max_results": 30, "sort_by": "date", "market": "en-US" }' | apify call gentle_cloud/bing-news-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gentle_cloud/bing-news-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bing News Scraper", "description": "Scrape news articles from Bing News search — titles, URLs, sources, publish dates, snippets, and thumbnails. Supports keyword search, date filtering, and regional markets. No API key required.", "version": "0.0", "x-build-id": "hEricFiRQTx4r4fOg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gentle_cloud~bing-news-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gentle_cloud-bing-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/gentle_cloud~bing-news-scraper/runs": { "post": { "operationId": "runs-sync-gentle_cloud-bing-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/gentle_cloud~bing-news-scraper/run-sync": { "post": { "operationId": "run-sync-gentle_cloud-bing-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", "properties": { "search_keywords": { "title": "Search Keywords", "type": "string", "description": "Comma-separated keywords to search for news articles (e.g., 'artificial intelligence, tesla, climate change')" }, "max_results": { "title": "Max Results Per Keyword", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of news articles to fetch per keyword (default: 30, max: 100)" }, "sort_by": { "title": "Sort By", "enum": [ "relevance", "date" ], "type": "string", "description": "How to sort the news results" }, "market": { "title": "Market / Region", "enum": [ "en-US", "en-GB", "en-AU", "en-CA", "en-IN", "de-DE", "fr-FR", "es-ES", "ja-JP", "zh-CN" ], "type": "string", "description": "Target market for localized news results" } } }, "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 } } } } } } } } } } ```