# YouTube Video Transcribe (`entertained_rattlesnake/youtube-video-transcribe`) Actor Transcribe YouTube videos by extracting subtitles and metadata, and push the results directly to the Apify Dataset. - **URL**: https://apify.com/entertained\_rattlesnake/youtube-video-transcribe.md - **Developed by:** [Igor Zakutynsky](https://apify.com/entertained_rattlesnake) (community) - **Categories:** Developer tools, Videos, AI - **Stats:** 3 total users, 2 monthly users, 99.9% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 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 Transcribe Transcribe YouTube videos by extracting their subtitles/transcripts together with basic metadata (title, channel, views, subscribers). Results are pushed directly to the Apify Dataset — no files are saved. ### Input ```json { "timestamps": false, "startUrls": [ "https://www.youtube.com/watch?v=SieELGaJV8k" ] } ```` - `startUrls` — list of YouTube video URLs. - `timestamps` — if `true`, the returned `text` will include `[HH:MM:SS.mmm]` prefixes per line. ### Output Each video produces one Dataset item. The dataset schema is defined in `.actor/dataset_schema.json` and includes two preset views in the Apify Console: **Overview** (all key fields) and **Transcript** (just the video and its text). | Field | Type | Description | | --- | --- | --- | | `videoUrl` | `string` (uri) | Canonical URL of the YouTube video. | | `videoId` | `string` | 11-character YouTube video identifier. | | `videoTitle` | `string \| null` | Video title as reported by YouTube. | | `channelName` | `string \| null` | Display name of the channel that published the video. | | `views` | `string \| null` | View count at the time of extraction (raw value from YouTube). | | `subscribers` | `string \| null` | Channel subscriber count as a human-readable string (e.g. `70.1K`). | | `text` | `string` | Full transcript. Includes `[HH:MM:SS.mmm]` prefixes when `timestamps` is `true`. | Example item: ```json [ { "videoUrl": "https://www.youtube.com/watch?v=2wg1A4m0VsA", "videoId": "2wg1A4m0VsA", "videoTitle": "El BIS lleva años explicándonos dónde encaja XRPL...", "channelName": "Fran De Olza", "views": "1933", "subscribers": "70.1K", "text": "El 27 de mayo de 2026, una de las instituciones..." } ] ``` ### Proxy Apify Residential Proxy (US) is used by default for all requests. # Actor input Schema ## `startUrls` (type: `array`): List of YouTube video URLs to extract subtitles from. ## `timestamps` (type: `boolean`): If true, prepends each line of the returned text with a timestamp. ## Actor input object example ```json { "startUrls": [ "https://www.youtube.com/watch?v=SieELGaJV8k" ], "timestamps": false } ``` # 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 = { "startUrls": [ "https://www.youtube.com/watch?v=SieELGaJV8k" ] }; // Run the Actor and wait for it to finish const run = await client.actor("entertained_rattlesnake/youtube-video-transcribe").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 = { "startUrls": ["https://www.youtube.com/watch?v=SieELGaJV8k"] } # Run the Actor and wait for it to finish run = client.actor("entertained_rattlesnake/youtube-video-transcribe").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 '{ "startUrls": [ "https://www.youtube.com/watch?v=SieELGaJV8k" ] }' | apify call entertained_rattlesnake/youtube-video-transcribe --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=entertained_rattlesnake/youtube-video-transcribe", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "YouTube Video Transcribe", "description": "Transcribe YouTube videos by extracting subtitles and metadata, and push the results directly to the Apify Dataset.", "version": "1.0", "x-build-id": "ZjDewKg6lBF9oGib0" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/entertained_rattlesnake~youtube-video-transcribe/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-entertained_rattlesnake-youtube-video-transcribe", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/entertained_rattlesnake~youtube-video-transcribe/runs": { "post": { "operationId": "runs-sync-entertained_rattlesnake-youtube-video-transcribe", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/entertained_rattlesnake~youtube-video-transcribe/run-sync": { "post": { "operationId": "run-sync-entertained_rattlesnake-youtube-video-transcribe", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "YouTube URLs", "type": "array", "description": "List of YouTube video URLs to extract subtitles from.", "items": { "type": "string" } }, "timestamps": { "title": "Include timestamps", "type": "boolean", "description": "If true, prepends each line of the returned text with a timestamp.", "default": false } } }, "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 } } } } } } } } } } ```