# YouTube Channel Videos Scraper (`seemuapps/youtube-channel-videos-scraper`) Actor List every video on a YouTube channel with title, duration, approximate upload date, thumbnail, and direct URL. - **URL**: https://apify.com/seemuapps/youtube-channel-videos-scraper.md - **Developed by:** [Andrew](https://apify.com/seemuapps) (community) - **Categories:** Social media, Automation, Developer tools - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 video listeds 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 Scraper List every video on a YouTube channel — title, duration, approximate upload date, thumbnail, and direct video URL — and paginate across runs to fetch the full back catalog. ### What you get For every video on the channel, one dataset row with: - **videoId, url** — canonical YouTube video ID and watch URL - **title** — video title - **durationSeconds** — length in seconds (null for live streams) - **uploadDate** — approximate `YYYY-MM-DD` upload date (YouTube only exposes relative dates like "3 weeks ago" in channel listings, so this is rounded to the day) - **thumbnailUrl** — highest-resolution thumbnail URL - **isLive** — true if currently live or upcoming, false if recorded, null if unknown - **isShort** — true for Shorts (vertical short videos under 60s or sourced from the Shorts tab) - **channelId, channelName, channelUrl** — canonical channel identity - **listIndex** — 1-based position in the channel's video list (newest = 1) ### Use cases - **Content research** — analyze a competitor's full upload history, posting cadence, and view trajectories - **Influencer vetting** — verify channel size, output volume, and content mix before brand deals - **Trend analysis** — pull a channel's catalog into a spreadsheet to spot top-performing topics - **Backlog mirroring** — build an index of every video on a channel for archival or search - **SEO research** — extract titles and view counts to study what topics rank on YouTube ### How to use 1. Paste a channel URL or handle into **YouTube Channel URL** — `@mkbhd`, `https://www.youtube.com/@mkbhd`, `/c/`, `/user/`, or `/channel/UC...` formats all work 2. Pick a **Tab** — Videos (default), Shorts, or Live streams 3. Set **Max Items** (default 500) — how many videos to fetch in this run; set 0 for unlimited (capped at 5000 per run as a safety net) 4. Leave **Page ID** blank on the first run 5. Run the actor — videos appear in the **Dataset** tab in newest-first order 6. To fetch the next page, open the **Key-value store** tab → copy the `NEXT_PAGE_ID` value → paste it into **Page ID** on your next run. If `NEXT_PAGE_ID` is `null`, you've fetched the entire channel. ### Output format Each dataset record: ```json { "videoId": "abc123XYZ", "url": "https://www.youtube.com/watch?v=abc123XYZ", "title": "Reviewing the new flagship phone", "durationSeconds": 743, "uploadDate": "2025-09-14", "thumbnailUrl": "https://i.ytimg.com/vi/abc123XYZ/maxresdefault.jpg", "isLive": false, "isShort": false, "channelId": "UCBJycsmduvYEL83R_U4JriQ", "channelName": "Marques Brownlee", "channelUrl": "https://www.youtube.com/@mkbhd", "listIndex": 1 } ```` ### Notes & limits - **One channel per run.** For multiple channels, run the actor once per channel (each gets its own dataset and cursor). - **Newest-first order.** Videos are listed in YouTube's default channel order — most recent uploads first. - **View, like, and comment counts are not included** — YouTube does not expose those in channel listings, and fetching them would require one extra request per video (impractically slow at channel scale). For per-video deep metadata, run the **YouTube Video Metadata Scraper** on the URLs from this dataset. - **Shorts and Live streams have separate tabs** — set the **Tab** input to fetch them. A channel's Videos tab does not include Shorts or past live streams. - **Pagination is index-based.** `NEXT_PAGE_ID` is the position in the channel's listing (e.g. `501` after fetching the first 500). YouTube channels can have thousands of videos — chain runs to fetch them all. - **Wall-clock safety:** the actor stops ~60s before the platform timeout and writes `NEXT_PAGE_ID` so progress is never lost on long runs. # Actor input Schema ## `channelUrl` (type: `string`): Channel URL or handle. Accepts @handle, /c/, /channel/UC..., /user/, or full URL. ## `tab` (type: `string`): Which channel tab to list. Videos = regular long-form uploads; Shorts = vertical short videos; Live = past live streams. ## `maxItems` (type: `integer`): Maximum videos to return in this run. Set 0 for unlimited (capped at 5000 per run as a safety net — chain runs with Page ID for more). ## `pageId` (type: `string`): Paste NEXT\_PAGE\_ID from the previous run's Key-value store to fetch the next page of videos. Leave empty to start from the most recent video. ## `proxyMode` (type: `string`): Residential is the default and works for most channels. Auto tries no proxy first, then datacenter, then residential — useful only if you want to save proxy bandwidth on channels that happen to fetch without one. ## Actor input object example ```json { "channelUrl": "@mkbhd", "tab": "videos", "maxItems": 500, "proxyMode": "residential" } ``` # Actor output Schema ## `results` (type: `string`): One video per record. Fields: videoId, url, title, durationSeconds, uploadDate (approximate), thumbnailUrl, isLive, isShort, channelId, channelName, channelUrl, listIndex. ## `nextPageId` (type: `string`): NEXT\_PAGE\_ID record in the default key-value store. Paste into Page ID on the next run to resume; null when the channel has been fully listed. # 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 = { "channelUrl": "@mkbhd" }; // Run the Actor and wait for it to finish const run = await client.actor("seemuapps/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 = { "channelUrl": "@mkbhd" } # Run the Actor and wait for it to finish run = client.actor("seemuapps/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 '{ "channelUrl": "@mkbhd" }' | apify call seemuapps/youtube-channel-videos-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seemuapps/youtube-channel-videos-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "YouTube Channel Videos Scraper", "description": "List every video on a YouTube channel with title, duration, approximate upload date, thumbnail, and direct URL.", "version": "1.0", "x-build-id": "QtsoHE1JGMjDhY2ar" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seemuapps~youtube-channel-videos-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seemuapps-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seemuapps~youtube-channel-videos-scraper/runs": { "post": { "operationId": "runs-sync-seemuapps-youtube-channel-videos-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seemuapps~youtube-channel-videos-scraper/run-sync": { "post": { "operationId": "run-sync-seemuapps-youtube-channel-videos-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "channelUrl" ], "properties": { "channelUrl": { "title": "YouTube Channel URL", "type": "string", "description": "Channel URL or handle. Accepts @handle, /c/, /channel/UC..., /user/, or full URL." }, "tab": { "title": "Tab", "enum": [ "videos", "shorts", "streams" ], "type": "string", "description": "Which channel tab to list. Videos = regular long-form uploads; Shorts = vertical short videos; Live = past live streams.", "default": "videos" }, "maxItems": { "title": "Max Items", "minimum": 0, "type": "integer", "description": "Maximum videos to return in this run. Set 0 for unlimited (capped at 5000 per run as a safety net — chain runs with Page ID for more).", "default": 500 }, "pageId": { "title": "Page ID (pagination)", "type": "string", "description": "Paste NEXT_PAGE_ID from the previous run's Key-value store to fetch the next page of videos. Leave empty to start from the most recent video." }, "proxyMode": { "title": "Proxy Mode", "enum": [ "residential", "auto", "none", "datacenter" ], "type": "string", "description": "Residential is the default and works for most channels. Auto tries no proxy first, then datacenter, then residential — useful only if you want to save proxy bandwidth on channels that happen to fetch without one.", "default": "residential" } } }, "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 } } } } } } } } } } ```