# YouTube Channel Videos · Export All Uploads & Metadata (`corent1robert/youtube-channel-videos-scraper`) Actor Paste YouTube channel URLs or @handles — get one row per video with titles, video IDs, dates, and descriptions in one dataset. Full public upload history, not just recent items. - **URL**: https://apify.com/corent1robert/youtube-channel-videos-scraper.md - **Developed by:** [Corentin Robert](https://apify.com/corent1robert) (community) - **Categories:** Videos, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $0.99 / 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 videos — full upload export ### Who this is for Use this Actor when you need a **complete picture of what a channel published** — the **full public upload history**, not just the latest uploads. Typical uses: - **Content & competitor tracking** — see every upload in one table - **Research & archiving** — titles, IDs, and text you can filter and sort - **Reporting** — export-ready rows you can open in Excel or send to BI tools ### What you get Each run produces **one row per video** with channel name, video ID, title, description text (loaded by default), publish hints, view hints where YouTube shows them, whether a row looks like a **Short** vs longer upload, and **duration in seconds** — so you can filter Shorts, sort by length, or merge with other data. **Default workflow:** paste channel URLs (`@handle` or `/channel/…`) and click **Start**. Nothing extra to configure — it follows the same public listings you see on YouTube. ### Quick start (Apify Console) 1. Paste **one URL per line** — the same links you already open in the browser. 2. Click **Start**, then open **Dataset** to download JSON or plug into automation. The Console form only asks for URLs. Everything else below is optional — mainly for **integrations, schedules, or power users** passing JSON. --- ### Optional controls (JSON / API / CLI) Use these when you automate runs or need tighter behavior — same keys work from the Apify API, CLI, or an `input.json` merged with platform input. | If you want… | Use | |----------------|-----| | **A safety cap on row count** (e.g. cheap scheduled smoke tests) | `maxVideos` — positive number stops after that many videos **across all channels**. Omit or `0` for the **full catalog**. | | **Faster runs on huge channels** | `fetchDescriptions`: `false` — skips fetching full description text per video (titles and everything else stay). | Other keys (`descriptionConcurrency`, `verboseLogs`, `writeOutputCsv` for local CLI) are documented for developers in your codebase — defaults work well for most people. #### Copy-paste examples **Full catalog** (no row limit): ```json { "channelUrls": ["https://www.youtube.com/@YourChannel"] } ```` **Large channel — skip descriptions for speed:** ```json { "channelUrls": ["https://www.youtube.com/@YourChannel"], "fetchDescriptions": false } ``` **Scheduled smoke test — stop after 10 rows:** ```json { "channelUrls": ["https://www.youtube.com/@YourChannel"], "maxVideos": 10 } ``` *** ### Practical limitations - **Dates:** YouTube often shows relative times (“3 days ago”). The Actor translates those into **approximate** calendar hints — good for sorting recent uploads; they are not guaranteed millisecond-accurate wall times. - **Layouts change:** If a run returns unexpectedly few rows, try again later — YouTube occasionally shifts its pages. - **Terms of use:** Use exports in line with **YouTube’s Terms of Service** and your own compliance rules. *** ### Field cheat sheet (Dataset) | You’ll see… | Think of it as… | |-------------|-----------------| | `channelTitle`, `videoId`, `title` | Which channel and which video — stable IDs for joins | | `description` | Full description text when loaded | | `videoKind` | **`short`** / **`long`** / **`unknown`** — filter Short-form vs longer uploads | | `durationSeconds` | Length in seconds for sorting or filtering | | `publishedDisplay`, `publishedRelative`, `publishedAtUtcPlus2` | How and when it was published — mix of raw listing text and approximate ISO-style times | | `viewsDisplay`, `viewsCount` | View counts when the listing shows them | *** ### Support Contact if you need custom scraping or integrations. # Actor input Schema ## `channelUrls` (type: `array`): Example: `https://www.youtube.com/@YourChannel` — add a line per channel. ## Actor input object example ```json { "channelUrls": [ "https://www.youtube.com/@Drberg" ] } ``` # Actor output Schema ## `dataset` (type: `string`): All collected videos as JSON — open **Dataset** after the run. ## `overview` (type: `string`): Slim view: titles, IDs, dates. ## `runLog` (type: `string`): Progress and counts from the run. # 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/@Drberg" ] }; // Run the Actor and wait for it to finish const run = await client.actor("corent1robert/youtube-channel-videos-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/@Drberg"] } # Run the Actor and wait for it to finish run = client.actor("corent1robert/youtube-channel-videos-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/@Drberg" ] }' | apify call corent1robert/youtube-channel-videos-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=corent1robert/youtube-channel-videos-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "YouTube Channel Videos · Export All Uploads & Metadata", "description": "Paste YouTube channel URLs or @handles — get one row per video with titles, video IDs, dates, and descriptions in one dataset. Full public upload history, not just recent items.", "version": "1.37", "x-build-id": "4tvvEB7eFU1SvCiXc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/corent1robert~youtube-channel-videos-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-corent1robert-youtube-channel-videos-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/corent1robert~youtube-channel-videos-scraper/runs": { "post": { "operationId": "runs-sync-corent1robert-youtube-channel-videos-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/corent1robert~youtube-channel-videos-scraper/run-sync": { "post": { "operationId": "run-sync-corent1robert-youtube-channel-videos-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Channel URLs", "type": "array", "description": "Example: `https://www.youtube.com/@YourChannel` — add a line per channel.", "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 } } } } } } } } } } ```