# YouTube Channel Search Scraper (`powerai/youtube-channel-search-scraper`) Actor Search videos inside a YouTube channel by keyword and export matching items with metadata and timestamps. - **URL**: https://apify.com/powerai/youtube-channel-search-scraper.md - **Developed by:** [PowerAI](https://apify.com/powerai) (community) - **Categories:** Social media, Videos, Integrations - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 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 Search Scraper Search videos within a specific YouTube channel and export one row per matching item. ### Key Features - Required **Channel ID** (`id`) and **search query** (`q`) - Collect up to your chosen **maximum** number of matching items; continues with **cursor** paging until that limit or until there are no more pages - Typical fields include `type`, `video.videoId`, `video.title`, `video.author`, `video.descriptionSnippet`, `video.thumbnails`, `video.movingThumbnails`, `video.lengthSeconds`, `video.publishedTimeText`, and `video.stats` - Supports optional localization hints: `hl` (language) and `gl` (country) - Each record includes **scrapedAt** (ISO 8601) ### Why Use It? - **Practical**: Quickly find channel videos on a specific topic - **Structured**: Clean JSON rows for analysis, filtering, and automation - **Efficient**: Cursor pagination until cap or feed end ### Great For - Topic-focused channel research - Building filtered datasets from creator archives - Tracking coverage of keywords by a channel ### Input Parameters | Parameter | Required | Description | |-----------|----------|-------------| | `id` | Yes | YouTube channel ID. | | `q` | Yes | Keyword to search within the channel. | | `maxResults` | No | Maximum rows to collect (default: 48). | | `hl` | No | Language hint, e.g. `en`. | | `gl` | No | Country hint, e.g. `US`. | ### Output Each dataset row is one item from `contents[]` plus **scrapedAt** appended by the actor. | Area | Field | Description | |------|-------|-------------| | Root | `type` | Item type returned by the feed. | | Root | `video` | Video object payload. | | Root | `scrapedAt` | Collection timestamp (ISO 8601). | | `video` | `videoId` | YouTube video ID. | | `video` | `title` | Video title. | | `video` | `author` | Author metadata, including channel identity and badges. | | `video` | `descriptionSnippet` | Short description preview text. | | `video` | `badges` | Video-level badges (for example `CC`). | | `video` | `thumbnails` | Thumbnail URL variants. | | `video` | `movingThumbnails` | Animated thumbnail variants (when available). | | `video` | `lengthSeconds` | Duration in seconds (when available). | | `video` | `publishedTimeText` | Relative publish time text. | | `video` | `stats.views` | View count when available. | | `video` | `isLiveNow` | Whether this item is currently live (when available). | #### Sample record ```json { "type": "video", "video": { "author": { "avatar": [ { "height": 68, "url": "https://yt3.googleusercontent.com/WZ_63J_-745xyW_DGxGi3VUyTZAe0Jvhw2ZCg7fdz-tv9esTbNPZTFR9X79QzA0ArIrMjYJCDA=s68-c-k-c0x00ffffff-no-rj", "width": 68 } ], "badges": [ { "text": "Verified", "type": "VERIFIED_CHANNEL" } ], "canonicalBaseUrl": "/@GoogleDevelopers", "channelId": "UC_x5XG1OV2P6uZZ5FSM9Ttw", "title": "Google for Developers" }, "badges": ["CC"], "descriptionSnippet": "Oh, Javascript. What are your thoughts on this programming language?\\n\\nSubscribe to Google for Developers → https://goo.gle/developers \\n\\nSpeakers: Meg Bauman, M.E Francis", "isLiveNow": false, "lengthSeconds": 27, "movingThumbnails": [ { "height": 180, "url": "https://i.ytimg.com/an_webp/gPoz3Lt5gv8/mqdefault_6s.webp?du=3000&sqp=CPK-iM4G&rs=AOn4CLDOlI2WRYpYNvBa9nTp5x43ysYWbw", "width": 320 } ], "publishedTimeText": "8 months ago", "stats": { "views": 34211 }, "thumbnails": [ { "height": 94, "url": "https://i.ytimg.com/vi/gPoz3Lt5gv8/hqdefault.jpg?sqp=-oaymwE1CKgBEF5IVfKriqkDKAgBFQAAiEIYAXABwAEG8AEB-AG2CIACgA-KAgwIABABGDwgTShyMA8=&rs=AOn4CLBawq5xXnSQBVJzoLF-DrVnL-z7Xw", "width": 168 }, { "height": 110, "url": "https://i.ytimg.com/vi/gPoz3Lt5gv8/hqdefault.jpg?sqp=-oaymwE1CMQBEG5IVfKriqkDKAgBFQAAiEIYAXABwAEG8AEB-AG2CIACgA-KAgwIABABGDwgTShyMA8=&rs=AOn4CLCLWSqC_ws26ZhC2WwHQPgQ8MfFQQ", "width": 196 } ], "title": "Just JavaScript things. 🙃", "videoId": "gPoz3Lt5gv8" }, "scrapedAt": "2026-03-24T06:50:43.710Z" } ```` ### Notes - Returned fields vary by result type and channel content. - Respect YouTube terms and applicable laws when using scraped data. # Actor input Schema ## `id` (type: `string`): YouTube channel ID (for example, UC\_x5XG1OV2P6uZZ5FSM9Ttw). ## `q` (type: `string`): Keyword to search within the channel videos. ## `maxResults` (type: `integer`): Maximum number of matching videos to collect across pages. ## `hl` (type: `string`): Interface language hint (for example, en). ## `gl` (type: `string`): Country hint (for example, US). ## Actor input object example ```json { "id": "UC_x5XG1OV2P6uZZ5FSM9Ttw", "q": "javascript", "maxResults": 48, "hl": "en", "gl": "US" } ``` # 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 = { "id": "UC_x5XG1OV2P6uZZ5FSM9Ttw", "q": "javascript", "maxResults": 48, "hl": "en", "gl": "US" }; // Run the Actor and wait for it to finish const run = await client.actor("powerai/youtube-channel-search-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 = { "id": "UC_x5XG1OV2P6uZZ5FSM9Ttw", "q": "javascript", "maxResults": 48, "hl": "en", "gl": "US", } # Run the Actor and wait for it to finish run = client.actor("powerai/youtube-channel-search-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 '{ "id": "UC_x5XG1OV2P6uZZ5FSM9Ttw", "q": "javascript", "maxResults": 48, "hl": "en", "gl": "US" }' | apify call powerai/youtube-channel-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=powerai/youtube-channel-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "YouTube Channel Search Scraper", "description": "Search videos inside a YouTube channel by keyword and export matching items with metadata and timestamps.", "version": "0.0", "x-build-id": "LafDKRbUEfmowEwkY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/powerai~youtube-channel-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-powerai-youtube-channel-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/powerai~youtube-channel-search-scraper/runs": { "post": { "operationId": "runs-sync-powerai-youtube-channel-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/powerai~youtube-channel-search-scraper/run-sync": { "post": { "operationId": "run-sync-powerai-youtube-channel-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "id", "q" ], "properties": { "id": { "title": "Channel ID", "type": "string", "description": "YouTube channel ID (for example, UC_x5XG1OV2P6uZZ5FSM9Ttw).", "default": "UC_x5XG1OV2P6uZZ5FSM9Ttw" }, "q": { "title": "Search query", "type": "string", "description": "Keyword to search within the channel videos.", "default": "javascript" }, "maxResults": { "title": "Maximum Results", "minimum": 40, "maximum": 10000, "type": "integer", "description": "Maximum number of matching videos to collect across pages.", "default": 48 }, "hl": { "title": "Language", "type": "string", "description": "Interface language hint (for example, en).", "default": "en" }, "gl": { "title": "Country", "type": "string", "description": "Country hint (for example, US).", "default": "US" } } }, "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 } } } } } } } } } } ```