# Universal Video Extractor โ€” Any URL to Downloadable Video (`nexgendata/universal-video-extractor`) Actor Extract direct video download URLs from any webpage. Universal video extractor powered by yt-dlp (1000+ sites): articles, blog posts, social media, news, video hosts. Returns download URLs, metadata, thumbnails. Pay per video link. - **URL**: https://apify.com/nexgendata/universal-video-extractor.md - **Developed by:** [NexGenData](https://apify.com/nexgendata) (community) - **Categories:** Videos, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $50.00 / 1,000 video link extracteds 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 ## Universal Video Extractor Any URL to Downloadable Video ### ๐Ÿ“Š What you get Clean JSON output (7 fields): - `url` โ€” Url - `title` โ€” Title - `duration` โ€” Duration - `formats` โ€” Formats - `thumbnail` โ€” Thumbnail - `source_site` โ€” Source site - `download_url` โ€” Download url **Pricing:** $0.050 per video (Pay-Per-Event) โ€” about **20 videos per $1**. ### ๐Ÿค– Use with AI agents Point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it. **Sample agent prompt:** ```` Run Universal Video Extractor on my input and return the structured results. ```` **Agentic payments (x402):** Supports agentic payment via x402 โ€” call this actor with USDC, no API key required. ### ๐Ÿ”— Related tools โ€” Video tools [YouTube Metadata](https://apify.com/nexgendata/yt-dlp-video-tools) ยท [Video Link Extractor](https://apify.com/nexgendata/video-link-extractor) ยท [YouTube Transcripts](https://apify.com/nexgendata/youtube-transcript-scraper) *This actor is currently private โ€” treated and ready for review.* --- *A NexGenData utility actor.* # Actor input Schema ## `urls` (type: `array`): List of page URLs to extract videos from. Works on any webpage that embeds or links video: articles, blog posts, social media, news pages, or direct video host URLs (YouTube, Vimeo, Twitter/X, TikTok, Reddit, Facebook, Twitch, Bilibili, and 1000+ more via yt-dlp). ## `formats` (type: `array`): Preferred output container formats, in priority order. The actor picks the highest-scoring format that matches one of these. Common values: mp4, webm, mkv, mov, m4a. ## `maxQuality` (type: `string`): Maximum video resolution to extract. Formats above this height are ignored. Use 'best' for no cap. Examples: 480p, 720p, 1080p, 1440p, 2160p (4K). ## `includeMetadata` (type: `boolean`): If true, includes the full yt-dlp info dict (uploader, view count, description, tags, chapters, subtitles, etc.) as a 'metadata' field on each item. If false, returns only the core fields (download URL, title, resolution, format, thumbnail). ## `maxUrls` (type: `integer`): Maximum number of input URLs to process in one run (safety cap). Each URL may yield multiple videos if it's a playlist or multi-video page. ## Actor input object example ```json { "urls": [ "https://www.youtube.com/watch?v=dQw4w9WgXcQ" ], "formats": [ "mp4", "webm" ], "maxQuality": "1080p", "includeMetadata": true, "maxUrls": 100 } ```` # 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 = { "urls": [ "https://www.youtube.com/watch?v=dQw4w9WgXcQ" ], "formats": [ "mp4", "webm" ], "maxQuality": "1080p", "includeMetadata": true, "maxUrls": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/universal-video-extractor").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 = { "urls": ["https://www.youtube.com/watch?v=dQw4w9WgXcQ"], "formats": [ "mp4", "webm", ], "maxQuality": "1080p", "includeMetadata": True, "maxUrls": 100, } # Run the Actor and wait for it to finish run = client.actor("nexgendata/universal-video-extractor").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 '{ "urls": [ "https://www.youtube.com/watch?v=dQw4w9WgXcQ" ], "formats": [ "mp4", "webm" ], "maxQuality": "1080p", "includeMetadata": true, "maxUrls": 100 }' | apify call nexgendata/universal-video-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/universal-video-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Universal Video Extractor โ€” Any URL to Downloadable Video", "description": "Extract direct video download URLs from any webpage. Universal video extractor powered by yt-dlp (1000+ sites): articles, blog posts, social media, news, video hosts. Returns download URLs, metadata, thumbnails. Pay per video link.", "version": "0.0", "x-build-id": "E2eTyoaBid81NqL68" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~universal-video-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-universal-video-extractor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~universal-video-extractor/runs": { "post": { "operationId": "runs-sync-nexgendata-universal-video-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~universal-video-extractor/run-sync": { "post": { "operationId": "run-sync-nexgendata-universal-video-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "urls" ], "properties": { "urls": { "title": "Page URLs", "type": "array", "description": "List of page URLs to extract videos from. Works on any webpage that embeds or links video: articles, blog posts, social media, news pages, or direct video host URLs (YouTube, Vimeo, Twitter/X, TikTok, Reddit, Facebook, Twitch, Bilibili, and 1000+ more via yt-dlp).", "items": { "type": "string" }, "default": [ "https://www.youtube.com/watch?v=dQw4w9WgXcQ" ] }, "formats": { "title": "Preferred formats", "type": "array", "description": "Preferred output container formats, in priority order. The actor picks the highest-scoring format that matches one of these. Common values: mp4, webm, mkv, mov, m4a.", "items": { "type": "string" }, "default": [ "mp4", "webm" ] }, "maxQuality": { "title": "Max resolution", "enum": [ "360p", "480p", "720p", "1080p", "1440p", "2160p", "best" ], "type": "string", "description": "Maximum video resolution to extract. Formats above this height are ignored. Use 'best' for no cap. Examples: 480p, 720p, 1080p, 1440p, 2160p (4K).", "default": "1080p" }, "includeMetadata": { "title": "Include full metadata", "type": "boolean", "description": "If true, includes the full yt-dlp info dict (uploader, view count, description, tags, chapters, subtitles, etc.) as a 'metadata' field on each item. If false, returns only the core fields (download URL, title, resolution, format, thumbnail).", "default": true }, "maxUrls": { "title": "Max source URLs", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of input URLs to process in one run (safety cap). Each URL may yield multiple videos if it's a playlist or multi-video page.", "default": 100 } } }, "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 } } } } } } } } } } ```