# YouTube Channel Profile Scraper (`barefoot_year/youtube-channel-profile-scraper`) Actor Scrape public YouTube channel profile and About page data from URLs, handles, or channel names . - **URL**: https://apify.com/barefoot\_year/youtube-channel-profile-scraper.md - **Developed by:** [Ghost Rider](https://apify.com/barefoot_year) (community) - **Categories:** Social media, Other, Lead generation - **Stats:** 3 total users, 2 monthly users, 95.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.20 / 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 Channel Profile Scraper (Apify Actor) Fast YouTube channel scraper for **public channel profile data** from URLs, handles, or display names. **No YouTube Data API** and no API key required. Short store tagline: **Scrape YouTube channel profile and About-page data from URLs, handles, or channel names.** ### Features - Input: **channel URLs** (`@handle`, `/channel/UC…`, `/c/…`, `/user/…`) and/or **channel names** (YouTube search, best match) - Output: channel ID, title, handle, description, subscriber/video/view counts (as shown on YouTube), thumbnails, verified flag, optional About fields - **Metadata only** — does not crawl video lists - Fast direct fetch with **Playwright fallback** - **Apify Proxy** defaults to the **RESIDENTIAL** group, but can be changed in input ### Input | Field | Type | Description | |-------|------|-------------| | `channels` | string[] | Full channel URLs, `@handles`, `UC...` IDs, or display names | Built-in defaults: - About page loading is enabled. - Name search resolves the best single match. - Concurrency is kept conservative for stable runs. - Apify Proxy uses the `RESIDENTIAL` group by default. #### Example input ```json { "channels": [ "https://www.youtube.com/@MrBeast", "@mkbhd", "MKBHD" ] } ```` ### Output (dataset) Each channel is one JSON object, for example: ```json { "channelId": "UCX6OQ3DkcsbYNE6H8uQQuVA", "title": "MrBeast", "handle": "MrBeast", "description": "…", "channelUrl": "https://www.youtube.com/@MrBeast", "customUrl": "@MrBeast", "subscriberCountText": "450M subscribers", "videoCountText": "900 videos", "viewCountText": null, "thumbnailUrl": "https://…", "bannerUrl": "https://…", "isVerified": true, "country": null, "joinedDateText": null, "links": [], "matchedBy": "url", "searchQuery": null, "searchRank": null, "scrapedAt": "2026-06-02T12:00:00.000Z" } ``` When matching by name: `matchedBy` is `"name_search"`, `searchQuery` and `searchRank` are set. ### Local development ```bash npm install npx playwright install chromium npm test apify run ``` Edit `storage/key_value_stores/default/INPUT.json` for local input. ### Deploy to Apify ```bash npm install -g apify-cli apify login apify push ``` Then in Apify Console → **Publication** → fill icon, description, categories → **Publish to Store**. ### Limits - Scraping depends on YouTube page structure; occasional maintenance may be needed. - **Channel names** are not unique — use URLs when you need an exact channel. - Subscriber counts may be hidden or rounded by YouTube. - Respect YouTube Terms of Service; use reasonable concurrency. ### Pricing note Runs consume **Apify platform** resources (compute + proxy). There is **no Google API quota** cost. # Actor input Schema ## `channels` (type: `array`): Enter full channel URLs, @handles, UC channel IDs, or channel names. The actor decides whether to open the channel directly or search by name. ## Actor input object example ```json { "channels": [ "https://www.youtube.com/@MrBeast", "MKBHD" ] } ``` # Actor output Schema ## `datasetItems` (type: `string`): JSON array of all scraped dataset items from the run. ## `datasetItemsPretty` (type: `string`): Pretty-printed dataset items for quick inspection. # 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 = { "channels": [ "https://www.youtube.com/@MrBeast", "MKBHD" ] }; // Run the Actor and wait for it to finish const run = await client.actor("barefoot_year/youtube-channel-profile-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 = { "channels": [ "https://www.youtube.com/@MrBeast", "MKBHD", ] } # Run the Actor and wait for it to finish run = client.actor("barefoot_year/youtube-channel-profile-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 '{ "channels": [ "https://www.youtube.com/@MrBeast", "MKBHD" ] }' | apify call barefoot_year/youtube-channel-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=barefoot_year/youtube-channel-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "YouTube Channel Profile Scraper", "description": "Scrape public YouTube channel profile and About page data from URLs, handles, or channel names .", "version": "0.1", "x-build-id": "dit8rOshfQIXGvcg4" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/barefoot_year~youtube-channel-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-barefoot_year-youtube-channel-profile-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/barefoot_year~youtube-channel-profile-scraper/runs": { "post": { "operationId": "runs-sync-barefoot_year-youtube-channel-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/barefoot_year~youtube-channel-profile-scraper/run-sync": { "post": { "operationId": "run-sync-barefoot_year-youtube-channel-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "channels": { "title": "Channels", "type": "array", "description": "Enter full channel URLs, @handles, UC channel IDs, or channel names. The actor decides whether to open the channel directly or search by name.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```