# Bing Search Results Scraper (`scrapesmith/bing-search-results-scraper`) Actor Scrape Bing search results for any keyword in any language. Organic results, paid ads, People Also Ask, related searches, siteLinks. No browser, no proxy, no paid API key. - **URL**: https://apify.com/scrapesmith/bing-search-results-scraper.md - **Developed by:** [Scrape Smith](https://apify.com/scrapesmith) (community) - **Categories:** Developer tools, SEO tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 Search Scraper — SERP Results, People Also Ask & Related Queries Extract structured search results from Bing for any keyword in any language. Organic results, paid ads, People Also Ask, related searches, siteLinks — all in flat, CSV-ready rows. --- ### Why This Scraper? - **5,000+ results from a single query** — unlimited pagination depth - **16 fields per result** — everything visible on the SERP page - **No browser, no proxy, no API key** — fast, cheap, reliable - **10 queries processed in parallel** — 500 results in under a minute - **200+ markets** — any language, any country Bing supports --- ### What Data Do You Get? | Output Type | Description | |---|---| | **Organic Results** | Title, URL, snippet, display URL, position, site links, date, icon, emphasized keywords | | **Total Results** | The "X results" count Bing shows (e.g. 32,600) | | **Paid Ads** | Title, URL, snippet — clearly marked as type "ad" | | **People Also Ask** | Question text, answer snippet, source URL | | **Related Searches** | Query suggestion text, Bing search URL | --- ### Input ```json { "queries": ["python programming", "bitcoin price", "best restaurants NYC"], "maxResults": 50, "market": "en-US" } ```` | Parameter | Type | Default | Description | |---|---|---|---| | `queries` | string\[] | — | Search queries to scrape | | `maxResults` | integer | `10` | Max organic results per query | | `market` | string | `en-US` | Language/country (de-DE, fr-FR, ja-JP, etc.) | | `includeAds` | boolean | `true` | Include paid advertisements | | `includeRelatedSearches` | boolean | `true` | Include related search suggestions | | `includePeopleAlsoAsk` | boolean | `true` | Include People Also Ask questions | *** ### Sample Output ```json { "query": "python programming", "position": 1, "title": "Welcome to Python.org", "url": "https://www.python.org/", "displayUrl": "https://www.python.org", "snippet": "The official home of the Python Programming Language...", "iconUrl": "https://th.bing.com/...", "emphasizedKeywords": ["Python", "Programming"], "date": null, "siteLinks": [ {"url": "https://www.python.org/downloads/", "title": "Downloads", "description": ""} ], "type": "organic", "page": 1, "resultsTotal": 25500, "searchUrl": "https://www.bing.com/search?q=python+programming&mkt=en-US", "market": "en-US" } ``` *** ### How Fast Is It? | Scenario | Results | Time | |---|---|---| | 1 query, 10 results | 10 | ~8 seconds | | 10 queries, 50 results each | 500 | ~45 seconds | | 1 query, 200 results | 200 | ~50 seconds | | 1 query, 5,000 results (deep pagination) | 5,000 | ~18 minutes | *** ### Use Cases - **SEO rank tracking** — monitor your position and competitors across Bing for target keywords - **Keyword research** — discover related queries and People Also Ask questions at scale - **Market intelligence** — compare search results across countries and languages - **Ad monitoring** — track who's buying ads on your keywords - **Content gap analysis** — find what ranks for keywords where you don't - **SERP feature analysis** — track siteLinks, featured snippets, knowledge panels *** ### Supported Markets Any Bing-supported market: `en-US`, `en-GB`, `de-DE`, `fr-FR`, `es-ES`, `it-IT`, `pt-BR`, `ja-JP`, `zh-CN`, `ko-KR`, `ar-SA`, `hi-IN`, `nl-NL`, `sv-SE`, `pl-PL`, and 200+ more. *** ### FAQ **How many results can I get from one query?** Over 5,000 — Bing has no hard pagination ceiling. Tested to 500 pages deep. **Does this need a Bing API key?** No. Results are extracted directly from Bing's search pages. No API key, no account, no quotas. **How is this different from the Bing Web Search API?** The official API costs $7 per 1,000 queries and imposes strict rate limits. This scraper has no such limits and costs a fraction of the price. **Can I search in different languages?** Yes. Set the `market` parameter — for example `de-DE` returns German-language results from Bing Germany. **What are emphasized keywords?** These are the bold words Bing highlights in the snippet — usually your search terms as they appear in the page content. **What are siteLinks?** Sub-links that appear under some results (like "Downloads", "Documentation", "About" under python.org). Captured as an array. **Is there a free trial?** Yes. Every run includes free results so you can verify data quality. **What output formats are available?** JSON, CSV, Excel, XML — all available directly from the Apify dataset. # Actor input Schema ## `queries` (type: `array`): List of search queries to run on Bing. ## `maxResults` (type: `integer`): Maximum number of organic results to return per query. ## `market` (type: `string`): Bing market for localized results. ## `includeAds` (type: `boolean`): Include paid advertisement results (marked with type=ad). ## `includeRelatedSearches` (type: `boolean`): Include related search suggestions from the SERP. ## `includePeopleAlsoAsk` (type: `boolean`): Include 'People Also Ask' questions from the SERP. ## Actor input object example ```json { "queries": [ "python programming" ], "maxResults": 10, "market": "en-US", "includeAds": true, "includeRelatedSearches": true, "includePeopleAlsoAsk": 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 = { "queries": [ "python programming" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapesmith/bing-search-results-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 = { "queries": ["python programming"] } # Run the Actor and wait for it to finish run = client.actor("scrapesmith/bing-search-results-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 '{ "queries": [ "python programming" ] }' | apify call scrapesmith/bing-search-results-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapesmith/bing-search-results-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bing Search Results Scraper", "description": "Scrape Bing search results for any keyword in any language. Organic results, paid ads, People Also Ask, related searches, siteLinks. No browser, no proxy, no paid API key.", "version": "0.0", "x-build-id": "x8MpnTD5RVAiUGfB4" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapesmith~bing-search-results-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapesmith-bing-search-results-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapesmith~bing-search-results-scraper/runs": { "post": { "operationId": "runs-sync-scrapesmith-bing-search-results-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapesmith~bing-search-results-scraper/run-sync": { "post": { "operationId": "run-sync-scrapesmith-bing-search-results-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "queries" ], "properties": { "queries": { "title": "Search Queries", "type": "array", "description": "List of search queries to run on Bing.", "items": { "type": "string" } }, "maxResults": { "title": "Max Results Per Query", "minimum": 1, "type": "integer", "description": "Maximum number of organic results to return per query.", "default": 10 }, "market": { "title": "Market / Country", "enum": [ "en-US", "en-GB", "en-CA", "en-AU", "en-IN", "en-NZ", "en-ZA", "en-IE", "de-DE", "de-AT", "de-CH", "fr-FR", "fr-CA", "fr-BE", "fr-CH", "es-ES", "es-MX", "es-AR", "es-CL", "es-CO", "pt-BR", "pt-PT", "it-IT", "nl-NL", "nl-BE", "sv-SE", "da-DK", "nb-NO", "fi-FI", "pl-PL", "tr-TR", "ru-RU", "ja-JP", "ko-KR", "zh-CN", "zh-TW", "zh-HK", "ar-SA", "ar-EG", "ar-AE", "hi-IN", "th-TH", "vi-VN", "id-ID", "ms-MY", "he-IL", "cs-CZ", "ro-RO", "hu-HU", "el-GR", "uk-UA", "bg-BG", "hr-HR", "sk-SK", "sl-SI", "et-EE", "lv-LV", "lt-LT" ], "type": "string", "description": "Bing market for localized results.", "default": "en-US" }, "includeAds": { "title": "Include Ads", "type": "boolean", "description": "Include paid advertisement results (marked with type=ad).", "default": true }, "includeRelatedSearches": { "title": "Include Related Searches", "type": "boolean", "description": "Include related search suggestions from the SERP.", "default": true }, "includePeopleAlsoAsk": { "title": "Include People Also Ask", "type": "boolean", "description": "Include 'People Also Ask' questions from the SERP.", "default": true } } }, "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 } } } } } } } } } } ```