# Bing Images Scraper - Low-costπŸ’²πŸ”₯πŸŒπŸ–ΌοΈ (`delectable_incubator/bing-images-scraper---low-cost`) Actor Scrape Bing Images search results easily πŸ”πŸ–ΌοΈ with a powerful image scraper. Extract image URLs, descriptions, dimensions, and metadata for any keyword. Ideal for visual research, brand monitoring, content sourcing, creative inspiration, and image SERP analysis with structured datasets πŸ“ŠπŸš€ - **URL**: https://apify.com/delectable\_incubator/bing-images-scraper---low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** SEO tools, Social media, Videos - **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 Images Search Scraper

--- ### Bing Images Search Scraper πŸŒπŸ–ΌοΈπŸ”Ž The Bing Images Search Scraper is a fast and scalable Apify Actor designed to extract structured image search results directly from Bing Images. It helps you collect visual data, monitor trends, build datasets, and analyze image search rankings across multiple keywords. --- ### 🎯 What This Scraper Does Simply provide one or more keywords and the scraper handles everything automatically. βœ… Performs Bing Images searches βœ… Supports multiple keywords in one run βœ… Applies optional time-based filters βœ… Extracts structured image metadata βœ… Stops at your defined limit per keyword βœ… Ideal for AI datasets, research & monitoring βœ… Ready for automation workflows --- ### πŸ“Š Data Extracted πŸ–ΌοΈ Image Information | Field | Description | | -------------------- | -------------------------------- | | πŸ”‘ `keyword` | Search keyword used | | πŸ”’ `position` | Ranking position in Bing Images | | 🏷️ `title` | Image title (if available) | | 🌐 `imageUrl` | Full-resolution image URL | | πŸ–ΌοΈ `thumbnailUrl` | Thumbnail preview image | | πŸ”— `pageUrl` | Source page URL | | 🌍 `domain` | Root domain of source page | | πŸ“ `description` | Short description (if available) | | πŸ“ `dimensions` | Image size (e.g. 1920x1080) | | ⏱️ `searchTimestamp` | Date & time of the search | --- ### πŸ›  How to Use 1️⃣ Configure Input Provide keywords and settings: ```` { "keywords": \["AI art", "data visualization"], "TIME\_FILTER": "any", "LANGUAGE": "en-GB", "MAX\_ITEMS\_PER\_KEYWORD": 50 } ``` 2️⃣ Run the Actor β€’ Searches Bing Images for each keyword β€’ Applies time filter if selected β€’ Extracts structured image 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 search keywords (bulk supported) | | `TIME_FILTER` | string | Filter results by recency | | `LANGUAGE` | string | Language filter for results | | `MAX_ITEMS_PER_KEYWORD` | number | Max images per keyword | --- ### πŸ“€ Output Example ``` { "keyword": "Artificial Intelligence", "position": 1, "title": "AI Brain Illustration", "imageUrl": "https://example.com/image.jpg", "thumbnailUrl": "https://example.com/thumb.jpg", "pageUrl": "https://example.com/page", "domain": "example.com", "description": "AI concept visualization", "dimensions": "1920x1080", "searchTimestamp": "2026-02-12T14:32:21.000Z" } ```` --- ### πŸ“Š Output explanation | Use Case | Description | | ---------------------------- | --------------------------------------------- | | πŸ“ˆ Trend Monitoring | Track visual trends across industries | | πŸ•΅οΈ Brand Monitoring | Discover where images or topics appear | | 🎨 Content & Design Research | Find inspiration from top-ranking visuals | | 🧠 AI Dataset Creation | Build structured datasets for training models | | πŸ“Š Data & Analytics Projects | Analyze image ranking and metadata | | πŸ” Competitive Intelligence | Benchmark visual presence across domains | --- ### 🌍 Why Use This Scraper? πŸš€ Extract Bing Images data at scale πŸ“Š Build structured visual datasets ⚑ Fast and automated scraping πŸ” Rich metadata for each image πŸ“ˆ Perfect for AI, research & monitoring --- ### ⚠️ 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:** $2.98 / 1000 results --- ### Related Actors If you're interested in other Bing scraping solutions, explore more tools: (Coming soon) --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool --- ### 🌍 PrimeScrape Built for scalable web data extraction & automation Contact for custom scraping solutions or enterprise requests via Apify or by email. # Actor input Schema ## `keywords` (type: `array`): List of keywords or subjects to search for images. Each keyword will be scraped separately. ## `LANGUAGE` (type: `string`): Select the language and country for search results ## `TIME_FILTER` (type: `string`): Filter results by date ## `MAX_ITEMS_PER_KEYWORD` (type: `integer`): Maximum number of image results to extract per keyword ## Actor input object example ```json { "keywords": [ "Web", "Cloud" ], "LANGUAGE": "en-US", "TIME_FILTER": "any", "MAX_ITEMS_PER_KEYWORD": 100 } ```` # Actor output Schema ## `overview` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keywords": [ "Web", "Cloud" ], "LANGUAGE": "en-US", "TIME_FILTER": "any", "MAX_ITEMS_PER_KEYWORD": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/bing-images-scraper---low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${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": [ "Web", "Cloud", ], "LANGUAGE": "en-US", "TIME_FILTER": "any", "MAX_ITEMS_PER_KEYWORD": 100, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/bing-images-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": [ "Web", "Cloud" ], "LANGUAGE": "en-US", "TIME_FILTER": "any", "MAX_ITEMS_PER_KEYWORD": 100 }' | apify call delectable_incubator/bing-images-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-images-scraper---low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bing Images Scraper - Low-costπŸ’²πŸ”₯πŸŒπŸ–ΌοΈ", "description": "Scrape Bing Images search results easily πŸ”πŸ–ΌοΈ with a powerful image scraper. \n\nExtract image URLs, descriptions, dimensions, and metadata for any keyword. \n\nIdeal for visual research, brand monitoring, content sourcing, creative inspiration, and image SERP analysis with structured datasets πŸ“ŠπŸš€", "version": "0.0", "x-build-id": "uYbZWSm9DSdzFI59I" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~bing-images-scraper---low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-bing-images-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~bing-images-scraper---low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-bing-images-scraper---low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~bing-images-scraper---low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-bing-images-scraper---low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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–ΌοΈ", "type": "array", "description": "List of keywords or subjects to search for images. Each keyword will be scraped separately.", "items": { "type": "string" }, "default": [ "Web", "Cloud" ] }, "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", "year" ], "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 image results to extract per keyword", "default": 100 } } }, "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 } } } } } } } } } } ```