# Bing Shopping Scraper (`searchapi/bing-shopping-scraper`) Actor Scrapes product listings from Bing Shopping. Extracts title, price, original price, discount, merchant, rating, review count, condition, shipping info and more. - **URL**: https://apify.com/searchapi/bing-shopping-scraper.md - **Developed by:** [Search API](https://apify.com/searchapi) (community) - **Categories:** E-commerce, Automation, Developer 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 shopping 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 Shopping Scraper ### What is this tool? Bing Shopping Scraper helps you collect shopping data from Bing (Microsoft's search engine). Search for any product and gather prices, merchants, ratings, reviews, and product details from multiple stores in one place. ### What can you use it for? - Compare product prices across multiple stores - Find the best deals and discounts - Track product prices over time - Research products before buying ### What data do you get? Each result includes up to **49 fields**, organized into the following categories: **Identity** (5 fields): Type, Result Type, Position, Page, Product ID (data-offerid) **URLs** (9 fields): Search URL, Product URL, Link (alias of productUrl), URL (legacy alias), Display URL, Domain, Thumbnail URL, Seller URL, Favicon URL **Text** (4 fields): Title, Description, Discount (raw text), Offer Count (alternatives) **Pricing** (6 fields): Price (display), Price (numeric), Currency (symbol or ISO code), Original Price (display), Original Price (numeric), Discount (percent) **Ratings** (4 fields): Seller Rating, Rating, Rating Count, Review Count **Location** (1 fields): Country **Categorization** (1 fields): Category **Source** (2 fields): Seller / Merchant, Merchant (alias of seller) **Search Context** (4 fields): Search Query, Query (legacy alias of searchQuery), Language, Search Metadata **Other** (13 fields): Scraped At (ISO 8601), Free Shipping, Shipping Cost, In Stock, Availability, Condition (new/used/refurbished), Brand, Is Sponsored, Is Ad, Badges (e.g. Best Seller, New), Delivery Info, Payment Options, Warranty ### How to use it #### Step 1: Enter your search Type in your search term, like "wireless headphones". #### 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 | |--------|---------------|----------|---------| | **Search Query** | Product search query. | Yes | wireless headphones | | **Maximum Items** | Max products to scrape. | No | 50 | | **Sort By** | Sort products by relevance, price (ascending/descending), or rating. Options: relevance (Best Match), price_asc (Price: Low to High), price_desc (Price: High to Low), rating (Best Rating). | No | relevance | | **Minimum Price** | Filter products with price above this value (in USD). | No | — | | **Maximum Price** | Filter products with price below this value (in USD). | No | — | ### Output Your results come in a clean, organized table with **two views**: #### Overview view Shows the most important fields at a glance: - **Thumbnail URL** - **Title** - **Product URL** - **Price (display)** - **Currency (symbol or ISO code)** - **Original Price (display)** - **Discount (raw text)** - **Discount (percent)** - **Seller / Merchant** - **Rating** - **Review Count** - **Free Shipping** - **Position** - **Page** - **Search Query** #### Full details view Shows all 49 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 ## `query` (type: `string`): Product search query. ## `maxItems` (type: `integer`): Maximum number of products to scrape. ## `sortBy` (type: `string`): Sort products by relevance, price (ascending/descending), or rating. ## `minPrice` (type: `integer`): Filter products with price above this value (in USD). ## `maxPrice` (type: `integer`): Filter products with price below this value (in USD). ## `proxyConfiguration` (type: `object`): Select proxies to be used by the scraper. ## Actor input object example ```json { "query": "wireless headphones", "maxItems": 50, "sortBy": "relevance", "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 = { "query": "wireless headphones", "maxItems": 50, "sortBy": "relevance", "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("searchapi/bing-shopping-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 = { "query": "wireless headphones", "maxItems": 50, "sortBy": "relevance", "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("searchapi/bing-shopping-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 '{ "query": "wireless headphones", "maxItems": 50, "sortBy": "relevance", "proxyConfiguration": { "useApifyProxy": true } }' | apify call searchapi/bing-shopping-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=searchapi/bing-shopping-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bing Shopping Scraper", "description": "Scrapes product listings from Bing Shopping. Extracts title, price, original price, discount, merchant, rating, review count, condition, shipping info and more.", "version": "2.0", "x-build-id": "GU971wFN3l0Can9wH" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/searchapi~bing-shopping-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-searchapi-bing-shopping-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/searchapi~bing-shopping-scraper/runs": { "post": { "operationId": "runs-sync-searchapi-bing-shopping-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/searchapi~bing-shopping-scraper/run-sync": { "post": { "operationId": "run-sync-searchapi-bing-shopping-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "query": { "title": "Search Query", "type": "string", "description": "Product search query." }, "maxItems": { "title": "Maximum Items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of products to scrape.", "default": 50 }, "sortBy": { "title": "Sort By", "enum": [ "relevance", "price_asc", "price_desc", "rating" ], "type": "string", "description": "Sort products by relevance, price (ascending/descending), or rating.", "default": "relevance" }, "minPrice": { "title": "Minimum Price", "minimum": 0, "type": "integer", "description": "Filter products with price above this value (in USD)." }, "maxPrice": { "title": "Maximum Price", "minimum": 0, "type": "integer", "description": "Filter products with price below this value (in USD)." }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Select proxies to be used by the scraper." } } }, "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 } } } } } } } } } } ```