# YouTube Video Scraper (`social-fetch/youtube-video-scraper`) Actor Scrape YouTube videos from URLs: views, likes, title, description, channel info, and chapters. Export datasets, schedule runs, and integrate with your analytics stack. - **URL**: https://apify.com/social-fetch/youtube-video-scraper.md - **Developed by:** [Social Fetch](https://apify.com/social-fetch) (community) - **Categories:** Developer tools, Videos, Automation - **Stats:** 2 total users, 1 monthly users, 85.7% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.98 / 1,000 video 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 Video Scraper YouTube Video Scraper returns title, views, likes, channel details, and metadata from any public video URL โ€” paste links and export. ๐Ÿ”ฅ **$1.98 per 1,000 rows** on Apify ยท up to **500** URLs per run ยท [integration guide](https://www.socialfetch.dev/docs/integrations/apify) ### Overview Look up any public YouTube video from a watch or Shorts URL Each dataset row matches the [Social Fetch API](https://www.socialfetch.dev/docs/api) envelope (`data`, `meta`, and `lookupStatus` where applicable). Platform API usage is included in the per-row Apify price. New to Social Fetch on Apify? The [integration guide](https://www.socialfetch.dev/docs/integrations/apify) has screenshots, the actor catalog, and troubleshooting. ### ๐Ÿš€ Quick start 1. Fill in the **Input** below โ€” sample values are pre-filled. 2. Click **Start** and wait for the run to finish. 3. Open the **Dataset** tab and export as JSON, CSV, or Excel. ### ๐Ÿ“ฆ Fields in each row **Video** - Title, URL, thumbnail, duration, and publish date - Views, likes, and comment counts - Channel handle, name, and profile URL ### โš™๏ธ Input options - **`videoUrls`** โ€” public YouTube watch or Shorts links - **`language`** โ€” optional language code for localized metadata ### ๐Ÿ’ก Try it #### Input ```json { "videoUrls": [ "https://www.youtube.com/watch?v=Y2Ah_DFr8cw" ] } ```` #### Output ```json { "data": { "lookupStatus": "found", "video": { "id": "Y2Ah_DFr8cw", "url": "https://www.youtube.com/watch?v=Y2Ah_DFr8cw", "title": "Example video", "thumbnailUrl": "https://img.youtube.com/vi/Y2Ah_DFr8cw/maxresdefault.jpg" }, "channel": { "handle": "afroballer8906", "displayName": "Afroballer" }, "metrics": { "views": 372864, "likes": 4043 }, "relatedVideos": [ { "id": "lzDTK5kEdkM", "url": "https://www.youtube.com/watch?v=lzDTK5kEdkM", "title": "Charles Barkley and Shaq FUNNIEST MOMENTS", "thumbnailUrl": "https://i.ytimg.com/vi/lzDTK5kEdkM/hqdefault.jpg", "publishedAt": "2025-02-16T19:25:39.493Z", "publishedTimeText": "11 months ago", "viewCount": 1800000, "viewCountText": "1.8M views", "durationSeconds": 1081, "durationText": "18:01", "channel": { "displayName": "SkyHooked", "handle": "SkyHooked", "profileUrl": "https://www.youtube.com/@SkyHooked", "platformUserId": "UCrX8GD5f_O-Cu5Y2vQuSSvw" } } ] }, "meta": { "requestId": "req_01example", "version": "v1" } } ``` Rows may include `data.lookupStatus` (`found`, `not_found`, or `private`). Completed lookups are billed, including `not_found`. ### ๐ŸŽฏ Good for - ๐Ÿ“Œ Pull engagement metrics for a list of video links - ๐Ÿ—“๏ธ Feed dashboards with batch video metadata ### ๐Ÿ’ต How we compare | | Cost per 1,000 lookups | |---|---| | **YouTube Video Scraper** | $1.98 | | Typical YouTube scrapers on Apify | $10.00 | Roughly **80% less** than many YouTube scrapers on the Store โ€” structured API data behind every row. ### ๐Ÿงฉ Related actors - [TikTok Video Scraper](https://apify.com/social-fetch/tiktok-video-scraper) โ€” TikTok video metadata by URL ### ๐Ÿ”— Wire it up Works with [Make](https://apify.com/integrations/make), [Zapier](https://apify.com/integrations/zapier), [n8n](https://www.socialfetch.dev/docs/integrations/n8n), Apify webhooks, and scheduled runs. ### โ“ Common questions - **Do I need a Social Fetch API key?** No โ€” your Apify token is enough. Never paste an `sfk_` key into Actor input. - **Why was I charged for `not_found`?** The lookup completed, but YouTube did not return that profile, video, or post. That still counts as a billable dataset row. - **What URLs work?** Standard YouTube watch links (`youtube.com/watch?v=...`) or Shorts URLs. ### ๐Ÿ“š More on Social Fetch - [Apify integration guide](https://www.socialfetch.dev/docs/integrations/apify) โ€” quick start and actor catalog - [API reference](https://www.socialfetch.dev/docs/api) โ€” same endpoints with your `sfk_` key - # Actor input Schema ## `videoUrls` (type: `array`): Public YouTube watch or Shorts links to look up. ## `language` (type: `string`): Optional language code for localized metadata. ## Actor input object example ```json { "videoUrls": [ "https://www.youtube.com/watch?v=Y2Ah_DFr8cw" ] } ``` # Actor output Schema ## `results` (type: `string`): Dataset items โ€” one row per handle or URL lookup, including lookupStatus and API payload fields. # 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 = { "videoUrls": [ "https://www.youtube.com/watch?v=Y2Ah_DFr8cw" ] }; // Run the Actor and wait for it to finish const run = await client.actor("social-fetch/youtube-video-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "videoUrls": ["https://www.youtube.com/watch?v=Y2Ah_DFr8cw"] } # Run the Actor and wait for it to finish run = client.actor("social-fetch/youtube-video-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "videoUrls": [ "https://www.youtube.com/watch?v=Y2Ah_DFr8cw" ] }' | apify call social-fetch/youtube-video-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=social-fetch/youtube-video-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "YouTube Video Scraper", "description": "Scrape YouTube videos from URLs: views, likes, title, description, channel info, and chapters. Export datasets, schedule runs, and integrate with your analytics stack.", "version": "1.0", "x-build-id": "SPkqegcIZTcI969oY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/social-fetch~youtube-video-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-social-fetch-youtube-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/social-fetch~youtube-video-scraper/runs": { "post": { "operationId": "runs-sync-social-fetch-youtube-video-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/social-fetch~youtube-video-scraper/run-sync": { "post": { "operationId": "run-sync-social-fetch-youtube-video-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "videoUrls" ], "properties": { "videoUrls": { "title": "YouTube video URLs", "type": "array", "description": "Public YouTube watch or Shorts links to look up.", "items": { "type": "string" } }, "language": { "title": "Language", "type": "string", "description": "Optional language code for localized metadata." } } }, "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 } } } } } } } } } } ```