# YouTube Channel & Video Scraper (`technicaldost/youtube-channel-video-scraper`) Actor Given YouTube channels, return their recent videos with title, views, likes, publish date, thumbnails and description. For creator research and competitive analysis. - **URL**: https://apify.com/technicaldost/youtube-channel-video-scraper.md - **Developed by:** [Technical Dost Solutions](https://apify.com/technicaldost) (community) - **Categories:** Social media, Developer tools - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 & Video Scraper Export recent videos from public YouTube channels as clean, analysis-ready records. This Actor is designed for marketing research, creator monitoring, competitive intelligence, and content discovery. It uses public YouTube channel pages and RSS feeds, so no API key or paid proxy is required. ### What it does - Accepts YouTube channel URLs, `/channel/UC...` URLs, raw channel IDs, and `@handles`. - Resolves handles to canonical YouTube channel IDs. - Fetches each channel's recent public RSS entries. - Returns titles, descriptions, publish times, thumbnails, views, and available rating-count hints. - Continues processing when one channel or feed fails. ### Input ```json { "channelUrls": [ "https://www.youtube.com/@MrBeast", "https://www.youtube.com/@mkbhd" ], "maxVideosPerChannel": 15 } ```` | Field | Type | Required | Description | | --- | --- | --- | --- | | `channelUrls` | array of strings | Yes | YouTube channel URLs, `@handles`, or `/channel/UC...` URLs. | | `maxVideosPerChannel` | integer | No | Recent videos per channel, from 1 to 50. Defaults to 15. | YouTube RSS feeds expose a limited window of recent uploads. Asking for more videos does not guarantee that every channel's feed contains that many entries. ### Output Each dataset item represents one video: ```json { "videoId": "exampleId", "url": "https://www.youtube.com/watch?v=exampleId", "title": "Example video title", "channelName": "Example Channel", "channelId": "UCexample", "channelUrl": "https://www.youtube.com/channel/UCexample", "publishedAt": "2026-01-01T12:00:00.000Z", "description": "Video description", "thumbnailUrl": "https://i.ytimg.com/vi/exampleId/hqdefault.jpg", "viewCount": 123456, "likesHint": 7890 } ``` `viewCount` is `null` when the feed does not provide statistics. `likesHint` is the RSS star-rating count when present; it is not guaranteed to be available and may be `null`. ### Cost and data source The Actor uses only public YouTube pages and the free channel RSS endpoint. It needs no YouTube Data API key and no paid third-party service. Results are charged using the `result` pay-per-event event when that event is configured on Apify. # Actor input Schema ## `channelUrls` (type: `array`): YouTube channel URLs, @handles, or /channel/UC... URLs. ## `maxVideosPerChannel` (type: `integer`): Maximum number of recent RSS feed videos to return for each channel. ## Actor input object example ```json { "channelUrls": [ "https://www.youtube.com/@MrBeast", "https://www.youtube.com/@mkbhd" ], "maxVideosPerChannel": 15 } ``` # 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 = { "channelUrls": [ "https://www.youtube.com/@MrBeast", "https://www.youtube.com/@mkbhd" ] }; // Run the Actor and wait for it to finish const run = await client.actor("technicaldost/youtube-channel-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 = { "channelUrls": [ "https://www.youtube.com/@MrBeast", "https://www.youtube.com/@mkbhd", ] } # Run the Actor and wait for it to finish run = client.actor("technicaldost/youtube-channel-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 '{ "channelUrls": [ "https://www.youtube.com/@MrBeast", "https://www.youtube.com/@mkbhd" ] }' | apify call technicaldost/youtube-channel-video-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=technicaldost/youtube-channel-video-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "YouTube Channel & Video Scraper", "description": "Given YouTube channels, return their recent videos with title, views, likes, publish date, thumbnails and description. For creator research and competitive analysis.", "version": "0.1", "x-build-id": "klT4LiMJmUki6IaNR" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/technicaldost~youtube-channel-video-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-technicaldost-youtube-channel-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/technicaldost~youtube-channel-video-scraper/runs": { "post": { "operationId": "runs-sync-technicaldost-youtube-channel-video-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/technicaldost~youtube-channel-video-scraper/run-sync": { "post": { "operationId": "run-sync-technicaldost-youtube-channel-video-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "channelUrls" ], "properties": { "channelUrls": { "title": "YouTube channels", "type": "array", "description": "YouTube channel URLs, @handles, or /channel/UC... URLs.", "items": { "type": "string" } }, "maxVideosPerChannel": { "title": "Maximum videos per channel", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum number of recent RSS feed videos to return for each channel.", "default": 15 } } }, "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 } } } } } } } } } } ```