# Bing News Scraper - Low-costπŸ’²πŸ”₯πŸŒπŸ“° (`delectable_incubator/bing-news-scraper---low-cost`) Actor Scrape Bing News search results easily πŸ”πŸ“° with a powerful news scraper. Extract article URLs, titles, snippets, sources, publication dates, and thumbnails for any keyword. Ideal for news monitoring, media intelligence, content research, and SERP analysis with structured datasets πŸ“ŠπŸš€ - **URL**: https://apify.com/delectable\_incubator/bing-news-scraper---low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** News, SEO tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start 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

Bing News Search Scraper

--- ### Bing News Search Scraper πŸŒπŸ“°πŸ”Ž The Bing News Search Scraper is a fast and scalable Apify Actor designed to extract structured news search results directly from Bing News. It helps you monitor breaking news, track media coverage, analyze trends, and build structured datasets across multiple keywords, languages, and markets. --- ### 🎯 What This Scraper Does Simply provide one or more keywords and the scraper handles everything automatically. βœ… Performs Bing News searches βœ… Supports multiple keywords in one run βœ… Applies language & country market filters βœ… Applies optional time-based filters βœ… Extracts structured article metadata βœ… Stops at your defined limit per keyword βœ… Ideal for monitoring, research & intelligence βœ… Ready for automation workflows --- ### πŸ“Š Data Extracted πŸ“° Article Information | Field | Description | | -------------------- | ----------------------------------- | | πŸ”‘ `keyword` | Search keyword used | | πŸ”’ `position` | Ranking position in Bing News | | 🌍 `language` | Selected market (e.g. en-US) | | 🏷️ `title` | Article title | | πŸ”— `url` | Direct article URL | | 🌐 `domain` | Root domain of source | | πŸ“° `source` | News publisher name | | πŸ“ `snippet` | Short article summary | | πŸ“… `publishDate` | Publication date | | πŸ–ΌοΈ `thumbnailUrl` | Article thumbnail image | | πŸ†” `articleId` | Extracted article ID (if available) | | ⏱️ `searchTimestamp` | Date & time of the search | --- ### πŸ›  How to Use 1️⃣ Configure Input Provide keywords and settings: ```` { "keywords": \[ "Artificial Intelligence regulation", "Global economy outlook" ], "LANGUAGE": "en-US", "TIME\_FILTER": "week", "MAX\_ITEMS\_PER\_KEYWORD": 50 } ``` 2️⃣ Run the Actor β€’ Searches Bing News for each keyword β€’ Applies language & time filters β€’ Extracts structured article results β€’ Automatically moves to next keyword β€’ Stops when limit is reached 3️⃣ Export the Dataset Download your results in multiple formats: βœ… JSON βœ… CSV βœ… Excel βœ… XML βœ… HTML --- ### βš™οΈ Input Configuration #### πŸ“₯ Input Example ``` { "keywords": \["machine learning", "big data"], "TIME\_FILTER": "week", "LANGUAGE": "en-US", "MAX\_ITEMS\_PER\_KEYWORD": 100 } ``` #### Input Fields | Field | Type | Description | | ----------------------- | ------ | --------------------------------------------------- | | `keywords` | array | List of news search keywords | | `LANGUAGE` | string | Language / country market (e.g. en-US, fr-FR) | | `TIME_FILTER` | string | Filter results by recency | | `MAX_ITEMS_PER_KEYWORD` | number | Max articles per keyword | --- ### πŸ“€ Output Example ``` { "keyword": "Artificial Intelligence regulation", "position": 1, "language": "en-US", "title": "New AI Regulations Proposed", "url": "https://example.com/news ", "domain": "example.com", "source": "Tech News", "snippet": "New policies aim to regulate AI systems...", "publishDate": "Feb 12, 2026", "thumbnailUrl": "https://example.com/image.jpg ", "articleId": "news\_123", "searchTimestamp": "2026-02-13T14:32:21.000Z" } ```` --- ### πŸ“Š Output explanation | Use Case | Description | | ---------------------------- | ------------------------------------------------ | | πŸ“ˆ News Monitoring | Track breaking news in real time | | πŸ•΅οΈ Media Monitoring | Monitor brand or topic coverage | | πŸ“° Market Intelligence | Analyze global news and economic trends | | ✍️ Content Research | Discover trending topics and headlines | | πŸ“Š Data & Analytics Projects | Build structured datasets for insights | | πŸ” Competitive Intelligence | Benchmark media presence across sources | --- ### 🌍 Why Use This Scraper? πŸš€ Extract Bing News data at scale πŸ“Š Build structured media datasets ⚑ Fast and automated scraping πŸ” Rich metadata for each article πŸ“ˆ Perfect for monitoring, research & analytics --- ### ⚠️ Disclaimer This tool is an independent solution and is not affiliated with or endorsed by Bing. --- ### πŸ’Έ Pricing This scraper runs on a **pay per events subscription model**. You only pay for **successful runs**. πŸ’³ **Price:** $2.98 / 1000 results --- ### Related Actors If you're interested in other Bing scraping solutions, explore more tools: (Coming soon) --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool --- ### 🌍 PrimeScrape Built for scalable web data extraction & automation Contact for custom scraping solutions or enterprise requests via Apify or by email. # Actor input Schema ## `keywords` (type: `array`): List of keywords or subjects to search for news. Each keyword will be scraped separately. ## `LANGUAGE` (type: `string`): Select the language and country for search results ## `TIME_FILTER` (type: `string`): Filter results by date ## `MAX_ITEMS_PER_KEYWORD` (type: `integer`): Maximum number of news articles to extract per keyword ## Actor input object example ```json { "keywords": [ "Internet", "Nature" ], "LANGUAGE": "en-US", "TIME_FILTER": "any", "MAX_ITEMS_PER_KEYWORD": 30 } ```` # Actor output Schema ## `overview` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keywords": [ "Internet", "Nature" ], "LANGUAGE": "en-US", "TIME_FILTER": "any", "MAX_ITEMS_PER_KEYWORD": 30 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/bing-news-scraper---low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "keywords": [ "Internet", "Nature", ], "LANGUAGE": "en-US", "TIME_FILTER": "any", "MAX_ITEMS_PER_KEYWORD": 30, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/bing-news-scraper---low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": [ "Internet", "Nature" ], "LANGUAGE": "en-US", "TIME_FILTER": "any", "MAX_ITEMS_PER_KEYWORD": 30 }' | apify call delectable_incubator/bing-news-scraper---low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/bing-news-scraper---low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bing News Scraper - Low-costπŸ’²πŸ”₯πŸŒπŸ“°", "description": "Scrape Bing News search results easily πŸ”πŸ“° with a powerful news scraper. \n\nExtract article URLs, titles, snippets, sources, publication dates, and thumbnails for any keyword. \n\nIdeal for news monitoring, media intelligence, content research, and SERP analysis with structured datasets πŸ“ŠπŸš€", "version": "0.0", "x-build-id": "jGvR73fopgeiOgXxf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~bing-news-scraper---low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-bing-news-scraper---low-cost", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~bing-news-scraper---low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-bing-news-scraper---low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~bing-news-scraper---low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-bing-news-scraper---low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords", "LANGUAGE", "TIME_FILTER", "MAX_ITEMS_PER_KEYWORD" ], "properties": { "keywords": { "title": "Keywords or subjects you wish to search for πŸ”πŸ“°", "type": "array", "description": "List of keywords or subjects to search for news. Each keyword will be scraped separately.", "items": { "type": "string" }, "default": [ "Internet", "Nature" ] }, "LANGUAGE": { "title": "Language / Country 🌍", "enum": [ "en-US", "en-GB", "fr-FR", "de-DE", "es-ES", "it-IT", "pt-BR", "ja-JP", "zh-CN", "ko-KR", "ru-RU", "ar-SA", "nl-NL", "sv-SE", "pl-PL", "tr-TR", "hi-IN", "th-TH", "vi-VN", "id-ID" ], "type": "string", "description": "Select the language and country for search results", "default": "en-US" }, "TIME_FILTER": { "title": "Time Filter ⏰", "enum": [ "any", "day", "week", "month" ], "type": "string", "description": "Filter results by date", "default": "any" }, "MAX_ITEMS_PER_KEYWORD": { "title": "Max Items Per Keyword πŸ“Š", "type": "integer", "description": "Maximum number of news articles to extract per keyword", "default": 30 } } }, "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 } } } } } } } } } } ```