# Bing AI Search (Copilot) Answers (`practicaltools/bing-ai-copilot`) Actor Extract generative AI answers from Bing Copilot with ease. - **URL**: https://apify.com/practicaltools/bing-ai-copilot.md - **Developed by:** [Practical Tools](https://apify.com/practicaltools) (community) - **Categories:** AI, SEO tools - **Stats:** 6 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $100.00 / 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. 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 Copilot Scraper 🚀 Extract generative AI answers from Bing Copilot with ease. ### ✨ Features - **Resilient Extraction**: Handles complex dynamic content by searching through all iframes to find the generative response. - **Clean Output**: Automatically strips markdown bolding (`**`) and noisy citation markers (e.g., `[^1^]`) for a clean reading experience. - **Structured Citations**: Parses source citations into a dedicated, easy-to-use array of objects (index, URL). - **Intelligent Waiting**: Automatically waits for the generative AI to finish its response before extraction. - **Residential Proxy Support**: Defaults to and highly recommends residential proxies to ensure stable access to Bing's AI features. ### 🛠️ Usage #### Input Schema | Field | Type | Description | |---|---|---| | `queries` | `array` | **Required.** List of questions/queries to ask Bing Copilot. | | `maxRequestsPerCrawl` | `integer` | Maximum number of queries to process (default: 100). | | `proxyConfiguration` | `object` | Specifies proxy servers (Residential proxies are prefilled and highly recommended). | #### Example Input ```json { "queries": ["How to optimize TypeScript for performance?"], "proxyConfiguration": { "useApifyProxy": true } } ```` ### 📊 Output The Actor results in a structured dataset. Each item contains: | Field | Description | |---|---| | `url` | The initial search URL. | | `query` | The query that was asked. | | `answer` | The clean, parsed answer text. | | `citations` | An array of source links used by the AI. | | `timestamp` | ISO timestamp of the crawl. | #### Example Output item ```json { "url": "https://www.bing.com/copilotsearch?q=TypeScript+performance", "query": "How to optimize TypeScript for performance?", "answer": "To optimize TypeScript performance, you should focus on several key areas including project structure, compiler settings, and coding patterns...", "citations": [ { "index": "1", "url": "https://www.typescriptlang.org/docs/handbook/2/performance.html" }, { "index": "2", "url": "https://blog.logrocket.com/how-to-optimize-typescript-performance/" } ], "timestamp": "2026-01-26T14:42:26.073Z" } ``` ### 🚀 Why use this scraper? Bing Copilot's UI is notoriously difficult to scrape because it uses deeply nested iframes and dynamic content. Most traditional scrapers fail when the DOM structure shifts. Our strategy provides a layer of abstraction that makes this scraper significantly more resilient to UI changes than any selector-based approach. ### 🏃 Local Development If you want to run this actor locally, ensure you have the [Apify CLI](https://docs.apify.com/cli) installed: 1. Clone the repository. 2. Install dependencies: `npm install`. 3. Run locally: `npm run start:dev`. # Actor input Schema ## `queries` (type: `array`): The search queries to get answers for from Bing Copilot. ## `maxRequestsPerCrawl` (type: `integer`): Maximum number of requests that can be made by this crawler. ## `proxyConfiguration` (type: `object`): Specifies proxy servers that will be used by the scraper in order to avoid being blocked by the target websites. Learn more in [the documentation](https://docs.apify.com/platform/actors/development/programming/proxy/proxy-configuration). ## Actor input object example ```json { "queries": [ "best design inspiration websites" ], "maxRequestsPerCrawl": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "queries": [ "best design inspiration websites" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("practicaltools/bing-ai-copilot").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": ["best design inspiration websites"], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("practicaltools/bing-ai-copilot").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": [ "best design inspiration websites" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call practicaltools/bing-ai-copilot --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=practicaltools/bing-ai-copilot", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bing AI Search (Copilot) Answers", "description": "Extract generative AI answers from Bing Copilot with ease.", "version": "0.0", "x-build-id": "ZA9uvxjuCgrjbhK44" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/practicaltools~bing-ai-copilot/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-practicaltools-bing-ai-copilot", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/practicaltools~bing-ai-copilot/runs": { "post": { "operationId": "runs-sync-practicaltools-bing-ai-copilot", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/practicaltools~bing-ai-copilot/run-sync": { "post": { "operationId": "run-sync-practicaltools-bing-ai-copilot", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "queries": { "title": "Search Queries", "type": "array", "description": "The search queries to get answers for from Bing Copilot.", "items": { "type": "string" } }, "maxRequestsPerCrawl": { "title": "Max Requests per Crawl", "type": "integer", "description": "Maximum number of requests that can be made by this crawler.", "default": 100 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Specifies proxy servers that will be used by the scraper in order to avoid being blocked by the target websites. Learn more in [the documentation](https://docs.apify.com/platform/actors/development/programming/proxy/proxy-configuration)." } } }, "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 } } } } } } } } } } ```