# Bing Videos Scraper - Low-costπŸ’²πŸ”₯🌐πŸŽ₯ (`delectable_incubator/bing-videos-scraper---low-cost`) Actor Scrape Bing Videos search results easily πŸ”πŸŽ₯ with a powerful video SERP scraper. Extract video URLs, titles, descriptions, duration, views, channels, and more for any keyword. Ideal for video research, competitor analysis, trend tracking, media intelligence, and structured datasets πŸ“ŠπŸš€ - **URL**: https://apify.com/delectable\_incubator/bing-videos-scraper---low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Videos, SEO tools, Lead generation - **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 Videos Search Scraper

--- ### Bing Videos Scraper 🌐πŸŽ₯πŸ”Ž The Bing Videos Search Scraper is a fast and scalable Apify Actor designed to extract structured video search results directly from Bing Videos. It helps you discover video content, track trends, analyze competitors, monitor creators, and build structured datasets across multiple keywords and markets. --- ### 🎯 What This Scraper Does Simply provide one or more keywords and the scraper handles everything automatically. βœ… Performs Bing Videos search queries βœ… Supports multiple keywords in one run βœ… Applies optional language & country market filters βœ… Applies time-based filtering βœ… Extracts structured video metadata βœ… Stops at your defined limit per keyword βœ… Ideal for video SEO, research & analytics βœ… Ready for automation workflows βœ… Extracts video URLs, channels, duration, views & more --- ### πŸ“Š Data Extracted πŸŽ₯ Video Result Information | Field | Description | | -------------------- | -------------------------------------- | | πŸ”‘ `keyword` | Search keyword used | | πŸ”’ `position` | Ranking position in Bing Videos | | 🌍 `language` | Selected market (e.g. en-US) | | 🏷️ `title` | Video title | | πŸ†” `videoId` | Extracted video ID (if available) | | πŸ”— `videoUrl` | Direct video URL | | 🌐 `pageUrl` | Source page URL | | πŸ–ΌοΈ `thumbnailUrl` | Video thumbnail preview | | 🌍 `domain` | Root domain of source | | πŸ“ `description` | Short video description | | ⏱️ `duration` | Video duration | | πŸ‘οΈ `views` | Number of views (if available) | | πŸ“… `uploadDate` | Upload/publication date | | πŸ“Ί `source` | Platform source (YouTube, Vimeo, etc.) | | πŸ‘€ `channel` | Channel or publisher name | | ⏱️ `searchTimestamp` | Date & time of the search | --- ### πŸ›  How to Use 1️⃣ Configure Input Provide keywords and settings: ```` { "keywords": \[ "Artificial Intelligence documentary", "Startup pitch videos" ], "LANGUAGE": "en-US", "TIME\_FILTER": "week", "MAX\_ITEMS\_PER\_KEYWORD": 50 } ``` 2️⃣ Run the Actor β€’ Performs Bing Videos search for each keyword β€’ Applies language & time filters β€’ Extracts structured video 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 tutorials", "AI documentaries"], "LANGUAGE": "en-US", "TIME\_FILTER": "month", "MAX\_ITEMS\_PER\_KEYWORD": 100 } ``` #### Input Fields | Field | Type | Description | | ----------------------- | ------ | ------------------------------------------------------- | | `keywords` | array | List of video search keywords (bulk supported) | | `LANGUAGE` | string | Language / market (e.g. en-US, fr-FR, de-DE) | | `TIME_FILTER` | string | Filter results by recency (any, day, week, month, year) | | `MAX_ITEMS_PER_KEYWORD` | number | Maximum number of video results per keyword | --- ### πŸ“€ Output Example ``` { "keyword": "Artificial Intelligence documentary", "position": 1, "language": "en-US", "title": "The Future of AI Explained", "videoId": "abc123xyz", "videoUrl": "https://www.youtube.com/watch?v=abc123xyz", "pageUrl": "https://www.youtube.com/watch?v=abc123xyz", "thumbnailUrl": "https://example.com/thumb.jpg", "domain": "youtube.com", "description": "A deep dive into artificial intelligence and its future impact...", "duration": "45:12", "views": "1,240,000 views", "uploadDate": "Jan 2026", "source": "YouTube", "channel": "Tech Insights", "searchTimestamp": "2026-02-13T14:32:21.000Z" } ```` --- ### πŸ“Š Output explanation | Use Case | Description | | ---------------------------- | -------------------------------- | | 🎬 Video SEO Research | Track ranking videos per keyword | | πŸ•΅οΈ Competitor Analysis | Monitor channels & creators | | πŸ“ˆ Trend Tracking | Discover trending video content | | πŸ’‘ Content Ideation | Find viral video formats | | πŸ“Š Data & Analytics Projects | Build structured video datasets | | πŸ” Influencer Research | Identify top creators in niches | --- ### 🌍 Why Use This Scraper? πŸš€ Extract Bing video results at scale πŸ“Š Build structured video intelligence datasets ⚑ Fast and automated scraping πŸ” Rich metadata for every video πŸ“ˆ Perfect for SEO, research & analytics --- ### ⚠️ 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:** $4.98 / 1000 results --- ### Related Actors If you're interested in other Bing scraping solutions, explore more tools: (Coming soon) --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool --- ### 🌍 PrimeScrape Built for scalable web data extraction & automation Contact for custom scraping solutions or enterprise requests via Apify or by email. # Actor input Schema ## `keywords` (type: `array`): List of keywords or subjects to search for videos. Each keyword will be scraped separately. ## `LANGUAGE` (type: `string`): Select the language and country for search results ## `TIME_FILTER` (type: `string`): Filter results by date ## `MAX_ITEMS_PER_KEYWORD` (type: `integer`): Maximum number of video results to extract per keyword ## Actor input object example ```json { "keywords": [ "Nature", "Internet" ], "LANGUAGE": "en-US", "TIME_FILTER": "any", "MAX_ITEMS_PER_KEYWORD": 50 } ```` # Actor output Schema ## `overview` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keywords": [ "Nature", "Internet" ], "LANGUAGE": "en-US", "TIME_FILTER": "any", "MAX_ITEMS_PER_KEYWORD": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/bing-videos-scraper---low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${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": [ "Nature", "Internet", ], "LANGUAGE": "en-US", "TIME_FILTER": "any", "MAX_ITEMS_PER_KEYWORD": 50, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/bing-videos-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": [ "Nature", "Internet" ], "LANGUAGE": "en-US", "TIME_FILTER": "any", "MAX_ITEMS_PER_KEYWORD": 50 }' | apify call delectable_incubator/bing-videos-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-videos-scraper---low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bing Videos Scraper - Low-costπŸ’²πŸ”₯🌐πŸŽ₯", "description": "Scrape Bing Videos search results easily πŸ”πŸŽ₯ with a powerful video SERP scraper. \n\nExtract video URLs, titles, descriptions, duration, views, channels, and more for any keyword. \n\nIdeal for video research, competitor analysis, trend tracking, media intelligence, and structured datasets πŸ“ŠπŸš€", "version": "0.0", "x-build-id": "BmyHjkB4NWspJuXTE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~bing-videos-scraper---low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-bing-videos-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~bing-videos-scraper---low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-bing-videos-scraper---low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~bing-videos-scraper---low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-bing-videos-scraper---low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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”πŸŽ₯", "type": "array", "description": "List of keywords or subjects to search for videos. Each keyword will be scraped separately.", "items": { "type": "string" }, "default": [ "Nature", "Internet" ] }, "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 video results to extract per keyword", "default": 50 } } }, "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 } } } } } } } } } } ```