# YouTube Channel Video & Shorts Scraper (`scraperx/youtube-channel-video-scraper`) Actor - **URL**: https://apify.com/scraperx/youtube-channel-video-scraper.md - **Developed by:** [ScraperX](https://apify.com/scraperx) (community) - **Categories:** Automation, Lead generation, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.99 / 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 Channel Video & Shorts Scraper (Apify Actor) Scrapes **long-form videos** and/or **Shorts** from YouTube channel URLs using the same innertube browse flow as manual browsing: channel `/about` → `browseId`, then `youtubei/v1/browse` with pagination. Shorts are optionally enriched per-video (views, publish date, etc.) via individual Shorts page HTML. ### Features - **Input:** one or more channel URLs or `@handles` (bulk). - **Scrape modes:** `videos`, `shorts`, or `both`. - **Video date filter:** keep videos published on or after `endDate` through today (same semantics as the original `End_date` field). - **Proxy escalation (Apify):** starts **direct** → on block, **datacenter** (`SHADER`) → **residential** (`RESIDENTIAL`), with up to **3** retries on residential; after switching to residential, **all following requests** use residential for that run. - **Output:** one dataset item per video/short; fields match the original JSON shape plus `contentType` (`video` | `short`) and `channelUrl`. ### Input | Field | Type | Description | |--------|------|-------------| | `urls` | array | Channel URLs, e.g. `https://www.youtube.com/@mrbeast` or `{ "url": "..." }` | | `scrapeType` | string | `videos` \| `shorts` \| `both` (default `both`) | | `endDate` | string | **Datepicker** (absolute `YYYY-MM-DD` or relative e.g. `3 months`, `2 weeks` from today). Inclusive start of range for **videos**. | | `maxResults` | integer | Max items per channel (1–500, default 50) | | `proxyConfiguration` | object | Apify proxy UI (fallback uses Apify proxy groups when needed) | Shorts detail enrichment uses a fixed concurrency of **10** parallel requests (same as the original script). ### Output (per row) - `author_name`, `video_title`, `publish_time`, `view_count`, `video_duration`, `video_url`, `cover_image_url`, `video_id` - `contentType`: `video` or `short` - `channelUrl`: input channel URL used for this row ### Logs & dataset (real-time) - **Logs** show high-level steps (connect → load → collect) and **each row** as it is written, with a short title preview — no internal API or implementation details. - **Dataset**: each video or short is **`push_data`’d as soon as it is ready**, so the Apify **Output** table updates during the run, not only at the end. ### Local run ```bash pip install -r requirements.txt ## Set storage root (folder must contain key_value_stores/default/INPUT.json) set APIFY_LOCAL_STORAGE_DIR=storage ## Windows; use export on Linux/macOS python -m src ```` Save `INPUT.json` as **UTF-8 without BOM** (some editors add BOM and Apify’s local parser rejects it). ### Build ```bash apify push ``` Docker: `Dockerfile` uses `apify/actor-python` and `CMD ["python", "-m", "src"]`. ### Legal Only public channel data. You are responsible for compliance with YouTube’s Terms of Service and applicable laws. # Actor input Schema ## `urls` (type: `array`): 📝 One entry per line — paste full links (https://www.youtube.com/@name) or short @handles. 🧪 Example: https://www.youtube.com/@mrbeast — add more lines to run several creators at once. ## `scrapeType` (type: `string`): 🎥 Videos = long-form uploads • ⚡ Shorts = Shorts tab • 🎬 Both = mix of both in one run. ## `endDate` (type: `string`): ⏳ For long-form videos only: include uploads from this date through today. 📆 Use the date picker — absolute calendar date or relative (e.g. 3 months, 2 weeks). 😊 ## `maxResults` (type: `integer`): 🎚️ Cap how many videos and/or Shorts per channel (depends on mode above). 💡 Lower = faster runs. Higher = more items. 📈 ## `proxyConfiguration` (type: `object`): 🌍 Default: direct connection — works for most runs. ☁️ Enable Apify proxy if you hit timeouts or regional access issues. Optional fallback handling runs automatically when needed. ## Actor input object example ```json { "urls": [ "https://www.youtube.com/@mrbeast" ], "scrapeType": "both", "endDate": "2000-01-01", "maxResults": 50, "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 = { "urls": [ "https://www.youtube.com/@mrbeast" ], "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("scraperx/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 = { "urls": ["https://www.youtube.com/@mrbeast"], "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("scraperx/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 '{ "urls": [ "https://www.youtube.com/@mrbeast" ], "proxyConfiguration": { "useApifyProxy": false } }' | apify call scraperx/youtube-channel-video-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scraperx/youtube-channel-video-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "YouTube Channel Video & Shorts Scraper", "version": "1.0", "x-build-id": "QrBnXZ7sFubqQoOxp" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scraperx~youtube-channel-video-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scraperx-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scraperx~youtube-channel-video-scraper/runs": { "post": { "operationId": "runs-sync-scraperx-youtube-channel-video-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scraperx~youtube-channel-video-scraper/run-sync": { "post": { "operationId": "run-sync-scraperx-youtube-channel-video-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "urls" ], "properties": { "urls": { "title": "🔗 Channel URLs or @handles", "type": "array", "description": "📝 One entry per line — paste full links (https://www.youtube.com/@name) or short @handles.\n\n🧪 Example: https://www.youtube.com/@mrbeast — add more lines to run several creators at once.", "items": { "type": "string" } }, "scrapeType": { "title": "🎛️ What should we collect?", "enum": [ "videos", "shorts", "both" ], "type": "string", "description": "🎥 Videos = long-form uploads • ⚡ Shorts = Shorts tab • 🎬 Both = mix of both in one run.", "default": "both" }, "endDate": { "title": "📅 Videos from… (start of range)", "pattern": "^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$|^(\\d+)\\s*(day|week|month|year)s?$", "type": "string", "description": "⏳ For long-form videos only: include uploads from this date through today.\n\n📆 Use the date picker — absolute calendar date or relative (e.g. 3 months, 2 weeks). 😊", "default": "2000-01-01" }, "maxResults": { "title": "🔢 Max items per channel", "minimum": 1, "maximum": 500, "type": "integer", "description": "🎚️ Cap how many videos and/or Shorts per channel (depends on mode above).\n\n💡 Lower = faster runs. Higher = more items. 📈", "default": 50 }, "proxyConfiguration": { "title": "🛡️ Apify proxy (optional)", "type": "object", "description": "🌍 Default: direct connection — works for most runs.\n\n☁️ Enable Apify proxy if you hit timeouts or regional access issues. Optional fallback handling runs automatically when needed." } } }, "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 } } } } } } } } } } ```