# Youtube Community Posts (`alpha-scraper/youtube-community-posts`) Actor Extract detailed data from YouTube community posts across multiple channels. Supports keywords, usernames, channel IDs, and URLs. Collects post text, likes, comments, media, and more in structured format—perfect for analytics, research, and automation workflows. - **URL**: https://apify.com/alpha-scraper/youtube-community-posts.md - **Developed by:** [Alpha Scraper](https://apify.com/alpha-scraper) (community) - **Categories:** Videos, Social media - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $6.99 / 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 ## I’m sorry for turning off this actor. I have provided the link in the input, and that actor will work properly. ## You can try it — I’m sharing the link here: YouTube Community Post Scraper Pro:[ YouTube Community Post Scraper Pro ](https://console.apify.com/actors/N7AsTS0BFsziUPY7J/source) # Actor input Schema ## `keywords` (type: `array`): List of keywords. If provided, the actor can build YouTube search or discovery URLs. Example: "cooking" or "tech reviews". ## `usernames` (type: `array`): List of channel handles or usernames (with or without @). Examples: "MrBeast", "@MrBeast". The actor will convert these to: https://www.youtube.com/@USERNAME/posts ## `channelIds` (type: `array`): List of channel IDs (starting with UC...). The actor will convert to https://www.youtube.com/channel/CHANNEL_ID/posts ## `startUrls` (type: `array`): List of one or more YouTube channel URLs or share links to scrape. These will be added to the list of channels found via other inputs. ## `maxposts` (type: `integer`): Maximum number of posts to extract from each channel (integer). ## Actor input object example ```json { "keywords": [ "MrBeast" ], "usernames": [ "@loganpaulvlogs" ], "channelIds": [ "UC-lHJZR3Gqxm24_Vd_AJ5Yw" ], "startUrls": [ { "url": "https://www.youtube.com/@PenMovies/posts" }, { "url": "https://www.youtube.com/@PlayDMF/posts" } ], "maxposts": 100 } ```` # 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": [ "MrBeast" ], "usernames": [ "@loganpaulvlogs" ], "channelIds": [ "UC-lHJZR3Gqxm24_Vd_AJ5Yw" ], "startUrls": [ { "url": "https://www.youtube.com/@PenMovies/posts" }, { "url": "https://www.youtube.com/@PlayDMF/posts" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("alpha-scraper/youtube-community-posts").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": ["MrBeast"], "usernames": ["@loganpaulvlogs"], "channelIds": ["UC-lHJZR3Gqxm24_Vd_AJ5Yw"], "startUrls": [ { "url": "https://www.youtube.com/@PenMovies/posts" }, { "url": "https://www.youtube.com/@PlayDMF/posts" }, ], } # Run the Actor and wait for it to finish run = client.actor("alpha-scraper/youtube-community-posts").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": [ "MrBeast" ], "usernames": [ "@loganpaulvlogs" ], "channelIds": [ "UC-lHJZR3Gqxm24_Vd_AJ5Yw" ], "startUrls": [ { "url": "https://www.youtube.com/@PenMovies/posts" }, { "url": "https://www.youtube.com/@PlayDMF/posts" } ] }' | apify call alpha-scraper/youtube-community-posts --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=alpha-scraper/youtube-community-posts", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Youtube Community Posts", "description": "Extract detailed data from YouTube community posts across multiple channels. Supports keywords, usernames, channel IDs, and URLs. Collects post text, likes, comments, media, and more in structured format—perfect for analytics, research, and automation workflows.", "version": "0.0", "x-build-id": "mDkctGAGdrrzqaHQB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/alpha-scraper~youtube-community-posts/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-alpha-scraper-youtube-community-posts", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/alpha-scraper~youtube-community-posts/runs": { "post": { "operationId": "runs-sync-alpha-scraper-youtube-community-posts", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/alpha-scraper~youtube-community-posts/run-sync": { "post": { "operationId": "run-sync-alpha-scraper-youtube-community-posts", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "keywords": { "title": " Search keywords", "type": "array", "description": "List of keywords. If provided, the actor can build YouTube search or discovery URLs. Example: \"cooking\" or \"tech reviews\".", "items": { "type": "string" } }, "usernames": { "title": " Channel usernames or handles", "type": "array", "description": "List of channel handles or usernames (with or without @). Examples: \"MrBeast\", \"@MrBeast\". The actor will convert these to: https://www.youtube.com/@USERNAME/posts", "items": { "type": "string" } }, "channelIds": { "title": " Channel IDs", "type": "array", "description": "List of channel IDs (starting with UC...). The actor will convert to https://www.youtube.com/channel/CHANNEL_ID/posts", "items": { "type": "string" } }, "startUrls": { "title": " Start URLs (Provide One or more posts urls)", "type": "array", "description": "List of one or more YouTube channel URLs or share links to scrape. These will be added to the list of channels found via other inputs.", "items": { "type": "object", "properties": { "url": { "type": "string", "title": " URL", "description": "YouTube channel URL — any of these forms are accepted and will be normalized to the /posts URL by the actor: \n• https://www.youtube.com/@Handle\n• https://www.youtube.com/@Handle/posts\n• https://www.youtube.com/c/CustomName\n• https://www.youtube.com/user/LegacyName\n• https://www.youtube.com/channel/UCxxxxxxxxx\n• Share links or other channel URLs" } }, "required": [ "url" ] } }, "maxposts": { "title": " Max post per channel", "type": "integer", "description": "Maximum number of posts to extract from each channel (integer).", "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 } } } } } } } } } } ```