# RenderIO YouTube Video Downloader (`renderio/renderio-youtube-video-downloader`) Actor Download public YouTube videos through the RenderIO API with pay-per-event pricing. - **URL**: https://apify.com/renderio/renderio-youtube-video-downloader.md - **Developed by:** [RenderIO](https://apify.com/renderio) (community) - **Categories:** Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $100.00 / 1,000 1080p video downloads 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 ## RenderIO YouTube Video Downloader Apify actor for downloading public YouTube videos through the RenderIO API. ### Input ```json { "urls": ["https://www.youtube.com/watch?v=dQw4w9WgXcQ"], "quality": "1080p", "pollIntervalSeconds": 2, "timeoutSeconds": 900 } ```` - `urls`: public YouTube URLs, max 10 per run. - `quality`: `1080p`, `2k`, or `4k`. This selects the Apify pay-per-event charge after a successful RenderIO download. - `pollIntervalSeconds`: status polling interval for `GET /api/v1/commands/:commandId`. - `timeoutSeconds`: per-video timeout, max 3600 seconds. ### Output Each input URL writes one dataset item: ```json { "inputUrl": "https://www.youtube.com/watch?v=dQw4w9WgXcQ", "quality": "1080p", "status": "SUCCESS", "commandId": "cmd_123", "videoUrl": "https://media.renderio.dev/output.mp4", "filename": "output.mp4", "sizeMbytes": 42.5, "totalProcessingSeconds": 18.2 } ``` Failures are written as dataset rows with `status: "FAILED"` and `errorMessage`. ### Pricing The configured Apify pricing is pay-per-event: - 1080p: $0.10 per successful download, or $1.00 per 10 downloads. - 2K: $0.20 per successful download, or $2.00 per 10 downloads. - 4K: $0.35 per successful download, or $3.50 per 10 downloads. The actor calls `Actor.charge()` only after RenderIO returns `SUCCESS` and a usable `output_files.out_video.storage_url`. ### Limits - Public YouTube URLs only. - Max 10 URLs per run. - Max 60 minutes per video when duration is returned by RenderIO metadata. - No custom FFmpeg in v1. # Actor input Schema ## `urls` (type: `array`): Public YouTube video URLs to download. Maximum 10 per run. ## `quality` (type: `string`): Pricing event tier to charge after a successful RenderIO download. ## `pollIntervalSeconds` (type: `integer`): Seconds to wait between RenderIO command status checks. ## `timeoutSeconds` (type: `integer`): Maximum seconds to wait for each RenderIO command. ## Actor input object example ```json { "urls": [ "https://www.youtube.com/watch?v=dQw4w9WgXcQ" ], "quality": "1080p", "pollIntervalSeconds": 2, "timeoutSeconds": 900 } ``` # Actor output Schema ## `downloads` (type: `string`): All dataset items produced by the actor run. ## `downloadUrls` (type: `string`): Compact dataset view with URL and processing fields. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "urls": [ "https://www.youtube.com/watch?v=dQw4w9WgXcQ" ] }; // Run the Actor and wait for it to finish const run = await client.actor("renderio/renderio-youtube-video-downloader").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "urls": ["https://www.youtube.com/watch?v=dQw4w9WgXcQ"] } # Run the Actor and wait for it to finish run = client.actor("renderio/renderio-youtube-video-downloader").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 '{ "urls": [ "https://www.youtube.com/watch?v=dQw4w9WgXcQ" ] }' | apify call renderio/renderio-youtube-video-downloader --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=renderio/renderio-youtube-video-downloader", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "RenderIO YouTube Video Downloader", "description": "Download public YouTube videos through the RenderIO API with pay-per-event pricing.", "version": "0.1", "x-build-id": "MQfzZOwpmscvXXvvc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/renderio~renderio-youtube-video-downloader/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-renderio-renderio-youtube-video-downloader", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/renderio~renderio-youtube-video-downloader/runs": { "post": { "operationId": "runs-sync-renderio-renderio-youtube-video-downloader", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/renderio~renderio-youtube-video-downloader/run-sync": { "post": { "operationId": "run-sync-renderio-renderio-youtube-video-downloader", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "YouTube URLs", "minItems": 1, "maxItems": 10, "type": "array", "description": "Public YouTube video URLs to download. Maximum 10 per run.", "items": { "type": "string" } }, "quality": { "title": "Quality", "enum": [ "1080p", "2k", "4k" ], "type": "string", "description": "Pricing event tier to charge after a successful RenderIO download.", "default": "1080p" }, "pollIntervalSeconds": { "title": "Poll interval", "minimum": 1, "maximum": 30, "type": "integer", "description": "Seconds to wait between RenderIO command status checks.", "default": 2 }, "timeoutSeconds": { "title": "Timeout", "minimum": 30, "maximum": 3600, "type": "integer", "description": "Maximum seconds to wait for each RenderIO command.", "default": 900 } } }, "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 } } } } } } } } } } ```