# YouTube Channel Community Scraper (`powerai/youtube-channel-community-scraper`) Actor Export posts from a YouTube channel Community tab, including author, text, stats, attachments, and timestamps. - **URL**: https://apify.com/powerai/youtube-channel-community-scraper.md - **Developed by:** [PowerAI](https://apify.com/powerai) (community) - **Categories:** Social media, Videos, Integrations - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 Channel Community Scraper Collect posts from a YouTube channel Community tab and export one row per item. ### Key Features - Required **Channel ID** (`id`) - Collect up to your chosen **maximum** number of posts; continues with **cursor** paging until that limit or until there are no more pages - Typical fields include `type`, `post.postId`, `post.text`, `post.publishedTimeText`, `post.stats`, `post.author`, and `post.attachment` (e.g. image sets) - Each record includes **scrapedAt** (ISO 8601) ### Why Use It? - **Practical**: Snapshot a channel's community activity in structured form - **Structured**: JSON rows ready for analysis, monitoring, and automation - **Reliable**: Cursor-based pagination until cap or feed end ### Great For - Community engagement monitoring - Creator posting cadence tracking - Competitor community content audits ### Input Parameters | Parameter | Required | Description | |-----------|----------|-------------| | `id` | Yes | YouTube channel ID. | | `maxResults` | No | Maximum rows to collect (default: 48). | ### Output Each dataset row is one item from `contents[]` plus **scrapedAt** appended by the actor. | Area | Field | Description | |------|-------|-------------| | Root | `type` | Item type returned by the feed. | | Root | `post` | Community post object payload. | | Root | `scrapedAt` | Collection timestamp (ISO 8601). | | `post` | `postId` | Community post ID. | | `post` | `text` | Post text (when available). | | `post` | `publishedTimeText` | Relative publish time text. | | `post` | `stats.likes` | Like count when available. | | `post` | `stats.comments` | Comment count when available. | | `post` | `author.title` | Author display name. | | `post` | `author.channelId` | Author channel ID. | | `post` | `author.canonicalBaseUrl` | Author channel handle/base URL path when available. | | `post` | `author.avatar` | Author avatar image variants with different sizes. | | `post` | `attachment.type` | Attachment kind (e.g. `images`). | | `post` | `attachment.images` | Image groups when the post includes photos. | | `attachment.images[]` | `source[]` | Image size variants (`url`, `width`, `height`). | #### Sample record ```json { "post": { "attachment": { "images": [ { "source": [ { "height": 288, "url": "https://yt3.ggpht.com/g2ZkpUd6U73HcEswaIjNM9Zhk33fFnjWBslqJRQbEB95Zr4dCFFumw8UAkC2BpWiv65bOVCG5Wi_0g=s288-c-fcrop64=1,00000000ffffffff-rw-nd-v1", "width": 288 }, { "height": 400, "url": "https://yt3.ggpht.com/g2ZkpUd6U73HcEswaIjNM9Zhk33fFnjWBslqJRQbEB95Zr4dCFFumw8UAkC2BpWiv65bOVCG5Wi_0g=s400-c-fcrop64=1,00000000ffffffff-rw-nd-v1", "width": 400 } ] }, { "source": [ { "height": 288, "url": "https://yt3.ggpht.com/NDDNxUJveCrBE5vxITenRK3FB78__FO68iwabAEn7FiG31VAvz8DwleLrJYkCdGsLWSNThYaZO_zQg=s288-c-fcrop64=1,00000000ffffffff-rw-nd-v1", "width": 288 }, { "height": 400, "url": "https://yt3.ggpht.com/NDDNxUJveCrBE5vxITenRK3FB78__FO68iwabAEn7FiG31VAvz8DwleLrJYkCdGsLWSNThYaZO_zQg=s400-c-fcrop64=1,00000000ffffffff-rw-nd-v1", "width": 400 } ] } ], "type": "images" }, "author": { "avatar": [ { "height": 32, "url": "https://yt3.googleusercontent.com/WZ_63J_-745xyW_DGxGi3VUyTZAe0Jvhw2ZCg7fdz-tv9esTbNPZTFR9X79QzA0ArIrMjYJCDA=s32-c-k-c0x00ffffff-no-rj-mo", "width": 32 } ], "canonicalBaseUrl": "/@GoogleDevelopers", "channelId": "UC_x5XG1OV2P6uZZ5FSM9Ttw", "title": "Google for Developers" }, "postId": "UgkxPZZsModS3W475sorobWJ4finx06wvGtF", "publishedTimeText": "14 hours ago", "stats": { "comments": 9, "likes": 277 }, "text": "A quick JavaScript brain teaser. We start with an array created using new Array(3). Then we run a small piece of code that looks completely reasonable.\\n\\n At the end, we log a value, which may not be what you expected. What number appears, and why? → https://youtube.com/shorts/kXIgLG9INQU \\n\\nWatch the video and share your answer in the comments." }, "type": "post", "scrapedAt": "2026-03-24T06:43:14.286Z" } ```` ### Notes - Returned fields vary by post type and attachment availability. - Respect YouTube terms and applicable laws when using scraped data. # Actor input Schema ## `id` (type: `string`): YouTube channel ID (for example, UC\_x5XG1OV2P6uZZ5FSM9Ttw). ## `maxResults` (type: `integer`): Maximum number of community posts to collect across pages. ## Actor input object example ```json { "id": "UC_x5XG1OV2P6uZZ5FSM9Ttw", "maxResults": 10 } ``` # 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 = { "id": "UC_x5XG1OV2P6uZZ5FSM9Ttw", "maxResults": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("powerai/youtube-channel-community-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 = { "id": "UC_x5XG1OV2P6uZZ5FSM9Ttw", "maxResults": 10, } # Run the Actor and wait for it to finish run = client.actor("powerai/youtube-channel-community-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 '{ "id": "UC_x5XG1OV2P6uZZ5FSM9Ttw", "maxResults": 10 }' | apify call powerai/youtube-channel-community-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=powerai/youtube-channel-community-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "YouTube Channel Community Scraper", "description": "Export posts from a YouTube channel Community tab, including author, text, stats, attachments, and timestamps.", "version": "0.0", "x-build-id": "lTiFGzhQZGku1mIZD" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/powerai~youtube-channel-community-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-powerai-youtube-channel-community-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/powerai~youtube-channel-community-scraper/runs": { "post": { "operationId": "runs-sync-powerai-youtube-channel-community-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/powerai~youtube-channel-community-scraper/run-sync": { "post": { "operationId": "run-sync-powerai-youtube-channel-community-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "id" ], "properties": { "id": { "title": "Channel ID", "type": "string", "description": "YouTube channel ID (for example, UC_x5XG1OV2P6uZZ5FSM9Ttw).", "default": "UC_x5XG1OV2P6uZZ5FSM9Ttw" }, "maxResults": { "title": "Maximum Results", "minimum": 10, "maximum": 10000, "type": "integer", "description": "Maximum number of community posts to collect across pages.", "default": 10 } } }, "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 } } } } } } } } } } ```