# Bing Search Scraper (`searchapi/bing-search-scraper`) Actor Scrapes organic search results from Bing for any query. Extracts the full SERP surface: organic results, ads, featured snippets, PAA, related searches, sitelinks, breadcrumbs, ratings, prices, authors, thumbnails, and more — with canonical metadata for cross-engine dataset harmonization. - **URL**: https://apify.com/searchapi/bing-search-scraper.md - **Developed by:** [Search API](https://apify.com/searchapi) (community) - **Categories:** Developer tools, Other, SEO tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.99 / 1,000 bing search scraper 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 ## Bing Search Scraper ### What is this tool? Bing Search Scraper helps you collect search data from Bing (Microsoft's search engine). Just type in your search term, and the tool will gather all the websites, articles, and information that Bing returns. ### What can you use it for? - Research on any topic with web search results - SEO research and content strategy - Monitor how brands and topics appear in search - Build datasets and knowledge bases ### What data do you get? Each result includes up to **72 fields**, organized into the following categories: **Identity** (6 fields): engineId, page, Position, positionGroup, Canonical Result Type, Result Type **URLs** (19 fields): authorUrl, cacheLink, channelUrl, Display URL, Domain, Favicon URL, faviconUrl, imageUrl, Link (URL), Search URL, Site Links, siteLinksCount, sourceDomain, sourceUrl, Thumbnail URL, url, urlPath, urlScheme, videoUrl **Text** (9 fields): description, descriptionHtml, Featured Snippet HTML, Rich Snippet, Snippet, Snippet HTML, Featured Snippet Text, Title, Title HTML **Media** (2 fields): thumbnailHeight, thumbnailWidth **Pricing** (3 fields): Currency Code, Price (display), Price (numeric) **Ratings** (4 fields): Rating, Rating Count, ratingValue, reviewCount **Engagement** (2 fields): Count, views **Location** (3 fields): country, Related Keywords, Related Searches **Dates & Duration** (5 fields): Date (raw), duration, Published At (ISO 8601), Published At (raw), Relative Time **Source** (4 fields): Author, channel, source, sourceLogo **Search Context** (5 fields): inLanguage, language, market, searchMetadata, Search Query **Other** (10 fields): Additional Info, Breadcrumbs, Emphasis Words, engineData, Is Ad, Is Sponsored, PAA Questions, richResultType, Scraped At, Total Results ### How to use it #### Step 1: Enter your search Type in your search term, like "artificial intelligence". #### Step 2: Set your preferences Adjust the options below to customize your search. #### Step 3: Run the tool Click the run button and wait for your results. The tool will gather all the data and save it in a clean, organized format. ### Input options | Option | What it means | Required | Default | |--------|---------------|----------|---------| | **Scraping Mode** | Use 'search' to scrape results for a query, or 'url' to scrape specific Bing search URLs. Options: search (Search Query), url (Specific URLs). | No | search | | **Search Query** | The search term to look up on Bing (used when mode = search). | Yes | artificial intelligence | | **Start URLs** | List of Bing search URLs to scrape directly (used when mode = url). | No | — | | **Max Items** | Max organic results to scrape. | No | 50 | | **Market / Region** | Bing market code (language-country), e.g. en-US, en-GB, de-DE. | No | en-US | | **Headless Mode** | Run browser in headless mode (recommended for performance). | No | true | ### Output Your results come in a clean, organized table with **two views**: #### Overview view Shows the most important fields at a glance: - **Position** - **Result Type** - **Title** - **Link (URL)** - **Display URL** - **Snippet** - **Favicon URL** - **Date (raw)** - **Published At (ISO 8601)** - **Rating** - **Is Ad** - **Search Query** #### Full details view Shows all 72 fields in detail. See "What data do you get?" above for the complete list. ### Tips for best results ✅ **Be specific** with your search terms for more relevant results ✅ **Try different variations** of your search term to discover more results ✅ **Browse multiple pages** of results to get a wider variety ### Frequently asked questions **Why use Bing?** Bing is Microsoft's search engine and the second-largest search engine in the world. It often returns different results than Google, giving you a wider variety of websites and perspectives. **How do I get the results?** Your results are saved in your Apify dashboard. You can download them in various formats (JSON, CSV, Excel) or access them via the API. **Can I run it on a schedule?** Yes! Apify supports scheduled runs. You can set up the tool to run automatically at any interval (hourly, daily, weekly, etc.) from your dashboard. **What if I get fewer results than I asked for?** This can happen if the search engine doesn't have enough matching results for your search, or if some results are blocked. Try different keywords or relax your filters. **Need more help?** If you have questions or run into issues, our support team is ready to help. Just reach out through the Apify platform and we'll get back to you quickly. # Actor input Schema ## `mode` (type: `string`): Use 'search' to scrape results for a query, or 'url' to scrape specific Bing search URLs. ## `query` (type: `string`): The search term to look up on Bing (used when mode = search). ## `startUrls` (type: `array`): List of Bing search URLs to scrape directly (used when mode = url). ## `maxItems` (type: `integer`): Maximum number of organic results to scrape. ## `market` (type: `string`): Bing market code (language-country), e.g. en-US, en-GB, de-DE. ## `headless` (type: `boolean`): Run browser in headless mode (recommended for performance). ## `proxyConfiguration` (type: `object`): Proxy settings for the crawler. ## Actor input object example ```json { "mode": "search", "query": "artificial intelligence", "startUrls": [], "maxItems": 50, "market": "en-US", "headless": true, "proxyConfiguration": { "useApifyProxy": true } } ```` # 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 = { "mode": "search", "query": "artificial intelligence", "startUrls": [], "market": "en-US", "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("searchapi/bing-search-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 = { "mode": "search", "query": "artificial intelligence", "startUrls": [], "market": "en-US", "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("searchapi/bing-search-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 '{ "mode": "search", "query": "artificial intelligence", "startUrls": [], "market": "en-US", "proxyConfiguration": { "useApifyProxy": true } }' | apify call searchapi/bing-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=searchapi/bing-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bing Search Scraper", "description": "Scrapes organic search results from Bing for any query. Extracts the full SERP surface: organic results, ads, featured snippets, PAA, related searches, sitelinks, breadcrumbs, ratings, prices, authors, thumbnails, and more — with canonical metadata for cross-engine dataset harmonization.", "version": "2.0", "x-build-id": "GDgqhv3XZ2Z6uDCU0" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/searchapi~bing-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-searchapi-bing-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/searchapi~bing-search-scraper/runs": { "post": { "operationId": "runs-sync-searchapi-bing-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/searchapi~bing-search-scraper/run-sync": { "post": { "operationId": "run-sync-searchapi-bing-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "query" ], "properties": { "mode": { "title": "Scraping Mode", "enum": [ "search", "url" ], "type": "string", "description": "Use 'search' to scrape results for a query, or 'url' to scrape specific Bing search URLs.", "default": "search" }, "query": { "title": "Search Query", "type": "string", "description": "The search term to look up on Bing (used when mode = search)." }, "startUrls": { "title": "Start URLs", "type": "array", "description": "List of Bing search URLs to scrape directly (used when mode = url).", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of organic results to scrape.", "default": 50 }, "market": { "title": "Market / Region", "type": "string", "description": "Bing market code (language-country), e.g. en-US, en-GB, de-DE." }, "headless": { "title": "Headless Mode", "type": "boolean", "description": "Run browser in headless mode (recommended for performance).", "default": true }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for the crawler." } } }, "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 } } } } } } } } } } ```