# YouTube Tags Extractor ๐ŸŽฏ (`easyapi/youtube-tags-extractor`) Actor Extract and analyze tags from any YouTube video URL. Perfect for content creators, marketers, and researchers looking to optimize their YouTube SEO strategy and understand trending topics. Supports batch processing and multi-language tags. ๐ŸŽฏ๐Ÿ” - **URL**: https://apify.com/easyapi/youtube-tags-extractor.md - **Developed by:** [EasyApi](https://apify.com/easyapi) (community) - **Categories:** Social media, SEO tools, Videos - **Stats:** 13 total users, 0 monthly users, 100.0% runs succeeded, 3 bookmarks - **User rating**: No ratings yet ## Pricing from $2.99 / 1,000 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 ## YouTube Tags Extractor ๐ŸŽฏ ### ๐ŸŽฅ What does YouTube Tags Extractor do? This powerful Actor extracts tags and keywords from any YouTube video URL. It helps content creators, marketers, and researchers understand video optimization and trending topics on YouTube. ### โœจ Key Features - ๐Ÿ” Extract tags from any public YouTube video - ๐Ÿ“Š Get both array and text format of tags - ๐ŸŒ Support for multi-language tags - โšก Fast and efficient processing - ๐Ÿ”„ Batch processing of multiple video URLs - ๐Ÿค– Uses advanced browser automation - ๐Ÿ’พ Clean, structured JSON output ### ๐Ÿ“‹ Output Format The Actor provides a clean JSON structure for each video containing: - Original YouTube video URL - Array of all tags - Comma-separated text string of all tags ### ๐Ÿ’ก Use Cases - ๐Ÿ“ˆ SEO optimization research - ๐ŸŽฏ Competitor analysis - ๐Ÿ” Content strategy development - ๐Ÿ“Š YouTube trend analysis - ๐ŸŽจ Content categorization ### ๐Ÿ’ช Benefits - Save hours of manual tag extraction - Understand trending topics in your niche - Optimize your video SEO strategy - Track competitor tag strategies - Improve video discoverability #### Input Example A full explanation of an input example in JSON. ```json { "youtubeVideoUrls": [ "https://www.youtube.com/watch?v=HV23VDFWC3o" ] } ```` #### Output sample The results will be wrapped into a dataset which you can always find in theย **Storage**ย tab. Here's an excerpt from the data you'd get if you apply the input parameters above: And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML. ```json [ { "youtubeVideoUrl": "https://www.youtube.com/watch?v=HV23VDFWC3o", "tagsArray": [ "dinosaurs", "dinos", "jurassic world", "tyrannosaurus", "rex", "indominus", "mosasaurus", "Dilophosaurus", "Velociraptor", "jurassic world Squishy", "punch box", "dinosaur box", "๊ณต๋ฃก", "ํŽ€์น˜ ๋ฐ•์Šค", "์„œํ”„๋ผ์•„์ฆˆ ๋ฐ•์Šค", "๊ณต๋ฃก ๋ฐ•์Šค", "ํ‹ฐ๋ผ๋…ธ์‚ฌ์šฐ๋ฃจ์Šค", "๋ชจ์‚ฌ์‚ฌ์šฐ๋ฃจ์Šค" ], "tagsText": "dinosaurs, dinos, jurassic world, tyrannosaurus, rex, indominus, mosasaurus, Dilophosaurus, Velociraptor, jurassic world Squishy, punch box, dinosaur box, ๊ณต๋ฃก, ํŽ€์น˜ ๋ฐ•์Šค, ์„œํ”„๋ผ์•„์ฆˆ ๋ฐ•์Šค, ๊ณต๋ฃก ๋ฐ•์Šค, ํ‹ฐ๋ผ๋…ธ์‚ฌ์šฐ๋ฃจ์Šค, ๋ชจ์‚ฌ์‚ฌ์šฐ๋ฃจ์Šค" } ] ``` ### Related Actors - ๐ŸŽฏ [YouTube Hashtag Generator](https://apify.com/easyapi/youtube-hashtag-generator) - Generate relevant, trending hashtags in 65+ languages to boost your YouTube video visibility - ๐ŸŽฏ [YouTube Hashtag Extractor](https://apify.com/easyapi/youtube-hashtag-extractor) - Extract hashtags from YouTube videos for social media management - ๐Ÿ“ [YouTube Description Extractor](https://apify.com/easyapi/youtube-description-extractor) - Extract complete descriptions from YouTube videos for content analysis - ๐ŸŽฅ [YouTube Channel ID Extractor](https://apify.com/easyapi/youtube-channel-id-extractor) - Convert YouTube channel URLs to channel IDs for API integration - ๐Ÿ“Š [YouTube Video Statistics Scraper](https://apify.com/easyapi/youtube-video-statistics-scraper) - Get comprehensive video stats including views, likes, comments - ๐Ÿ“Š [YouTube Channel Statistics Scraper](https://apify.com/easyapi/youtube-channel-statistics-scraper) - Extract channel statistics for performance analysis - ๐ŸŒ [YouTube Region Restriction Checker](https://apify.com/easyapi/youtube-region-restriction-checker) - Check video availability across 170+ countries - ๐ŸŽฅ [YouTube Video Data Scraper](https://apify.com/easyapi/youtube-video-data-scraper) - Extract comprehensive video metadata for content analysis - ๐Ÿ“บ [YouTube Comments Scraper](https://apify.com/easyapi/youtube-comments-scraper) - Scrape video comments with pagination support - ๐ŸŽฅ [YouTube Video Metadata Scraper](https://apify.com/easyapi/youtube-video-metadata-scraper) - Extract rich metadata from YouTube videos - ๐Ÿ” [YouTube Subtitle Search Crawler](https://apify.com/easyapi/youtube-subtitle-search-crawler) - Discover videos by searching through their subtitles - ๐Ÿ“บ [YouTube Trending Videos/Shorts Scraper](https://apify.com/easyapi/youtube-trending-videos-shorts-scraper) - Extract trending videos and shorts data - ๐ŸŽฎ [YouTube Gaming Trends Scraper](https://apify.com/easyapi/youtube-gaming-trends-scraper) - Scrape trending gaming videos from YouTube Gaming section - ๐ŸŽฌ [YouTube Movies Trending Scraper](https://apify.com/easyapi/youtube-movies-trending-scraper) - Extract trending movie trailers and content - ๐Ÿ“ฑ [YouTube Channel Shorts Scraper](https://apify.com/easyapi/youtube-channel-shorts-scraper) - Scrape Shorts from any YouTube channel - ๐Ÿ“ง [YouTube Email Scraper](https://apify.com/easyapi/youtube-email-scraper) - Find email addresses from YouTube channel descriptions # Actor input Schema ## `youtubeVideoUrls` (type: `array`): List of YouTube video URLs to extract tags from ## `proxyConfiguration` (type: `object`): Proxy settings for the scraper ## Actor input object example ```json { "youtubeVideoUrls": [ "https://www.youtube.com/watch?v=HV23VDFWC3o" ], "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("easyapi/youtube-tags-extractor").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = {} # Run the Actor and wait for it to finish run = client.actor("easyapi/youtube-tags-extractor").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call easyapi/youtube-tags-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=easyapi/youtube-tags-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "YouTube Tags Extractor ๐ŸŽฏ", "description": "Extract and analyze tags from any YouTube video URL. Perfect for content creators, marketers, and researchers looking to optimize their YouTube SEO strategy and understand trending topics. Supports batch processing and multi-language tags. ๐ŸŽฏ๐Ÿ”", "version": "0.0", "x-build-id": "pKnHZ3eHdtp6jrd6g" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/easyapi~youtube-tags-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-easyapi-youtube-tags-extractor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/easyapi~youtube-tags-extractor/runs": { "post": { "operationId": "runs-sync-easyapi-youtube-tags-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/easyapi~youtube-tags-extractor/run-sync": { "post": { "operationId": "run-sync-easyapi-youtube-tags-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "youtubeVideoUrls" ], "properties": { "youtubeVideoUrls": { "title": "YouTube Video URLs", "uniqueItems": true, "type": "array", "description": "List of YouTube video URLs to extract tags from", "default": [ "https://www.youtube.com/watch?v=HV23VDFWC3o" ], "items": { "type": "string" } }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for the scraper", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```