# YouTube Video Scraper (`getdataforu/youtube-video-scraper`) Actor Scrape YouTube videos. Search by keywords or trending feed. Filter long/short videos, sort by date or views, set language and region. - **URL**: https://apify.com/getdataforu/youtube-video-scraper.md - **Developed by:** [EMT Crawler](https://apify.com/getdataforu) (community) - **Categories:** SEO tools, Social media, Videos - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $0.00001 / 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 # Actor input Schema ## `keywords` (type: `array`): List of search keywords. Required when scrape mode is 'search'. maxResults is split evenly across all keywords (e.g. 100 videos and 8 keywords → ~12–13 videos per keyword). ## `maxResults` (type: `integer`): Maximum number of videos to return per run. ## `maxSeenIds` (type: `integer`): Maximum video IDs stored in state to prevent duplicates across runs. ## `scrapeMode` (type: `string`): How to discover videos: keyword search or YouTube trending feed. ## `videoType` (type: `string`): Filter by video length: long (>60s), short (<=60s), or all. ## `sortBy` (type: `string`): Sort order. upload_date = newest first, oldest = reverse upload order, view_count = most viewed. ## `uploadDate` (type: `string`): Only include videos uploaded within this time window (search mode). ## `language` (type: `string`): Language/locale for YouTube Innertube client (affects search results). ## `region` (type: `string`): Country/region code for YouTube results (e.g. VN, US, JP). ## `contentLanguage` (type: `string`): Filter results by title/channel language. Use 'all' to keep every result. If keywords are English but this is 'vi', almost all videos will be removed. ## `features` (type: `array`): YouTube search feature filters (search mode): hd, subtitles, creative_commons, 3d, live, 4k, 360, location, hdr, vr180. ## `deduplicate` (type: `boolean`): Skip videos already scraped in previous runs (uses persisted state). ## Actor input object example ```json { "keywords": [ "viral shorts", "trending", "movie review", "music" ], "maxResults": 100, "maxSeenIds": 5000, "scrapeMode": "search", "videoType": "long", "sortBy": "relevance", "uploadDate": "all", "language": "vi", "region": "VN", "contentLanguage": "all", "features": [], "deduplicate": true } ```` # Actor output Schema ## `dataset` (type: `string`): No description ## `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": [ "viral shorts", "trending", "movie review", "music" ], "features": [] }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforu/youtube-video-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 = { "keywords": [ "viral shorts", "trending", "movie review", "music", ], "features": [], } # Run the Actor and wait for it to finish run = client.actor("getdataforu/youtube-video-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 '{ "keywords": [ "viral shorts", "trending", "movie review", "music" ], "features": [] }' | apify call getdataforu/youtube-video-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforu/youtube-video-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "YouTube Video Scraper", "description": "Scrape YouTube videos. Search by keywords or trending feed. Filter long/short videos, sort by date or views, set language and region.", "version": "0.2", "x-build-id": "IaaxH413tdUOXURPJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforu~youtube-video-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforu-youtube-video-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforu~youtube-video-scraper/runs": { "post": { "operationId": "runs-sync-getdataforu-youtube-video-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforu~youtube-video-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforu-youtube-video-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "maxResults" ], "properties": { "keywords": { "title": "Keywords", "type": "array", "description": "List of search keywords. Required when scrape mode is 'search'. maxResults is split evenly across all keywords (e.g. 100 videos and 8 keywords → ~12–13 videos per keyword).", "default": [ "viral shorts", "trending" ], "items": { "type": "string" } }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of videos to return per run.", "default": 100 }, "maxSeenIds": { "title": "Max Seen IDs", "minimum": 500, "maximum": 50000, "type": "integer", "description": "Maximum video IDs stored in state to prevent duplicates across runs.", "default": 5000 }, "scrapeMode": { "title": "Scrape Mode", "enum": [ "search", "trending" ], "type": "string", "description": "How to discover videos: keyword search or YouTube trending feed.", "default": "search" }, "videoType": { "title": "Video Type", "enum": [ "long", "short", "all" ], "type": "string", "description": "Filter by video length: long (>60s), short (<=60s), or all.", "default": "long" }, "sortBy": { "title": "Sort By", "enum": [ "relevance", "upload_date", "view_count", "rating", "oldest" ], "type": "string", "description": "Sort order. upload_date = newest first, oldest = reverse upload order, view_count = most viewed.", "default": "relevance" }, "uploadDate": { "title": "Upload Date", "enum": [ "all", "hour", "today", "week", "month", "year" ], "type": "string", "description": "Only include videos uploaded within this time window (search mode).", "default": "all" }, "language": { "title": "YouTube Language", "enum": [ "vi", "en", "ja", "ko", "th", "zh", "de", "fr", "es", "pt" ], "type": "string", "description": "Language/locale for YouTube Innertube client (affects search results).", "default": "vi" }, "region": { "title": "Region", "type": "string", "description": "Country/region code for YouTube results (e.g. VN, US, JP).", "default": "VN" }, "contentLanguage": { "title": "Content Language Filter", "enum": [ "all", "vi", "en", "ja", "ko", "th", "zh" ], "type": "string", "description": "Filter results by title/channel language. Use 'all' to keep every result. If keywords are English but this is 'vi', almost all videos will be removed.", "default": "all" }, "features": { "title": "Features", "type": "array", "description": "YouTube search feature filters (search mode): hd, subtitles, creative_commons, 3d, live, 4k, 360, location, hdr, vr180.", "default": [], "items": { "type": "string" } }, "deduplicate": { "title": "Deduplicate Across Runs", "type": "boolean", "description": "Skip videos already scraped in previous runs (uses persisted state).", "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 } } } } } } } } } } ```