# YouTube Related Videos Scraper (`powerai/youtube-related-videos-scraper`) Actor From one watch-page video id, collect recommended videos with thumbnails, channels, and stats—paged automatically up to your cap. - **URL**: https://apify.com/powerai/youtube-related-videos-scraper.md - **Developed by:** [PowerAI](https://apify.com/powerai) (community) - **Categories:** Social media, Videos, Integrations - **Stats:** 2 total users, 1 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 Related Videos Scraper Start from a **single video** (its watch-page id) and collect **recommended videos** that appear next to it in the product: titles, channels, thumbnails, view hints, and publish text when available. Optionally bias the list with **region** and **language** hints. The actor follows the **continuation** flow so you can gather more than one page—up to the limit you set. ### Who it’s for - **Creators and analysts** mapping what the product suggests after a given clip. - **Researchers** building recommendation graphs from a seed video. - **Automation** that stores “related” snapshots on a schedule. ### What you can do with it - **Paste one video id** from a watch URL. - **Optional region and language** hints to align the feed with an audience. - **Cap** how many related rows to collect across pages. ### How it works (in plain terms) You provide the **starting video id** and options. The actor loads the first page of related items, saves rows until your cap, then automatically requests **additional pages** using the continuation value returned by the service, pausing briefly between requests. You do not paste tokens yourself. ### Input | Field | Required | What it means | |-------|----------|----------------| | **Starting video ID** (`videoId`) | Yes | The id from the watch URL (`v=` parameter). | | **Region** (`region`) | No | Country or region code to bias results (e.g. US, GB). | | **Language hint** (`language`) | No | Locale or language preference (e.g. en). | | **Maximum results** (`maxResults`) | No | Upper bound on related rows to collect (default **100**). | ### Output - **One row per related video** (until your cap). The starting id is skipped if it appears again in the list. - **Related item fields** typically include **`type`**, **`videoId`**, **`title`**, **`channelTitle`**, **`channelId`**, **`channelHandle`**, **`channelThumbnail`**, views and publish text, **`thumbnail`**, and more when returned. - **Seed context**: **`seedVideoId`** repeats your input id; **`seedVideoTitle`** / **`seedChannelTitle`** are taken from the **header block** when the response includes them (title and channel of the video you started from). - **Optional**: **`region`** when you set it; **`scrapedAt`** on every row. Field availability varies by item and may change over time. #### Sample output (one related row, illustrative) ```json { "type": "video", "videoId": "ZnH9WjE7x8c", "title": "Ultimate 80s Classics – Timeless Icons in One Playlist", "channelTitle": "Flashback Grooves", "viewCountText": "8.9M views", "publishedTimeText": "11 months ago", "publishDate": "2025-04-26", "publishedAt": "2025-04-26T00:00:00Z", "channelId": "UC2OVENVJuluxCf5OhMC3z0w", "channelHandle": "@FlashbackGrooves", "channelThumbnail": [ { "url": "https://yt3.ggpht.com/OSSmN8y1Mi_gj9uOw2P_t5v1zmiZDPKM7E7Nx3opDi9-8fUQZ4MDc001MMSpfz9HjVVzdeqbww=s68-c-k-c0x00ffffff-no-rj", "width": 68, "height": 68 } ], "description": "", "thumbnail": [ { "url": "https://i.ytimg.com/vi/ZnH9WjE7x8c/hqdefault.jpg?sqp=-oaymwEbCKgBEF5IVfKriqkDDggBFQAAiEIYAXABwAEG&rs=AOn4CLBdABAlyqNW1iKvDNpCKwQPRb8k3w", "width": 168, "height": 94 }, { "url": "https://i.ytimg.com/vi/ZnH9WjE7x8c/hqdefault.jpg?sqp=-oaymwEcCNACELwBSFXyq4qpAw4IARUAAIhCGAFwAcABBg==&rs=AOn4CLD8p2sdJWT-1qMbvfnlSn3ESP-zpA", "width": 336, "height": 188 } ], "seedVideoId": "dQw4w9WgXcQ", "seedVideoTitle": "Rick Astley - Never Gonna Give You Up (Official Video) (4K Remaster)", "seedChannelTitle": "Rick Astley", "region": "US", "scrapedAt": "2026-03-27T01:44:08.334Z" } ```` # Actor input Schema ## `videoId` (type: `string`): The id from the watch page URL (the part after v=). ## `region` (type: `string`): Optional country or region code to bias results (for example US, GB). ## `language` (type: `string`): Optional locale or language hint (for example en). ## `maxResults` (type: `integer`): How many related rows to collect across continuation pages. ## Actor input object example ```json { "videoId": "dQw4w9WgXcQ", "maxResults": 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 = { "videoId": "dQw4w9WgXcQ", "maxResults": 15 }; // Run the Actor and wait for it to finish const run = await client.actor("powerai/youtube-related-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 = { "videoId": "dQw4w9WgXcQ", "maxResults": 15, } # Run the Actor and wait for it to finish run = client.actor("powerai/youtube-related-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 '{ "videoId": "dQw4w9WgXcQ", "maxResults": 15 }' | apify call powerai/youtube-related-videos-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=powerai/youtube-related-videos-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "YouTube Related Videos Scraper", "description": "From one watch-page video id, collect recommended videos with thumbnails, channels, and stats—paged automatically up to your cap.", "version": "0.0", "x-build-id": "FzSNXZRieaIEKDmFT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/powerai~youtube-related-videos-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-powerai-youtube-related-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/powerai~youtube-related-videos-scraper/runs": { "post": { "operationId": "runs-sync-powerai-youtube-related-videos-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/powerai~youtube-related-videos-scraper/run-sync": { "post": { "operationId": "run-sync-powerai-youtube-related-videos-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "videoId" ], "properties": { "videoId": { "title": "Starting video ID", "type": "string", "description": "The id from the watch page URL (the part after v=).", "default": "dQw4w9WgXcQ" }, "region": { "title": "Region", "type": "string", "description": "Optional country or region code to bias results (for example US, GB)." }, "language": { "title": "Language hint", "type": "string", "description": "Optional locale or language hint (for example en)." }, "maxResults": { "title": "Maximum results", "minimum": 15, "maximum": 50000, "type": "integer", "description": "How many related rows to collect across continuation pages.", "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 } } } } } } } } } } ```