# YouTube Transcript & Content Extractor (`fixitfoundry/youtube-transcript-actor`) Actor Extract full transcripts with timestamps, video metadata (views, likes, duration, publish date), and channel info from any public YouTube video. - **URL**: https://apify.com/fixitfoundry/youtube-transcript-actor.md - **Developed by:** [Jesse Casco](https://apify.com/fixitfoundry) (community) - **Categories:** Videos, Developer tools, Automation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 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 Transcript & Content Extractor Extract transcripts and metadata from YouTube videos with pay-per-event pricing. ### Features - ✅ Full transcript extraction with timestamps - ✅ Video metadata (title, author, thumbnail, URL) - ✅ JSON and CSV output formats - ✅ Single video processing - ✅ Pay-per-event monetization ($0.50/video) ### Pricing **$0.50 per video processed** You only pay for successful video extractions. Failed extractions are not charged. ### Input ```json { "url": "https://www.youtube.com/watch?v=VIDEO_ID", "format": "json", "maxVideos": 1 } ```` #### Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `url` | string | Yes | - | YouTube video URL | | `format` | string | No | `json` | Output format: `json` or `csv` | | `maxVideos` | integer | No | `1` | Max videos to process (for playlists) | ### Output #### JSON Format ```json { "videoId": "dQw4w9WgXcQ", "title": "Video Title", "author": "Channel Name", "authorUrl": "https://www.youtube.com/channel/...", "thumbnail": "https://i.ytimg.com/vi/...", "url": "https://www.youtube.com/watch?v=...", "transcript": [ { "text": "Transcript text...", "duration": 5.0, "offset": 0.0 } ], "processedAt": "2024-01-01T00:00:00.000Z" } ``` ### Usage Examples #### Single Video ```json { "url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ" } ``` #### CSV Output ```json { "url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ", "format": "csv" } ``` ### Local Development ```bash ## Install dependencies npm install ## Run locally apify run ## Or with Node directly npm start ``` ### Deployment ```bash ## Login to Apify apify login ## Deploy apify push ``` ### Limitations - Playlist support requires YouTube Data API integration (future enhancement) - Some videos may not have transcripts available - Transcript language defaults to English when available ### Legal & Compliance This actor uses publicly available YouTube data via oEmbed API and transcript extraction. No authentication or API keys required. ### Support For issues or questions, please open an issue on GitHub. # Actor input Schema ## `url` (type: `string`): YouTube video or playlist URL ## `format` (type: `string`): Output format for dataset ## `language` (type: `string`): Preferred transcript language code (e.g., en, es, fr). Leave empty for auto-detect. ## Actor input object example ```json { "url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ", "format": "json" } ``` # Actor output Schema ## `videoId` (type: `string`): YouTube video identifier ## `title` (type: `string`): Title of the YouTube video ## `author` (type: `string`): Channel name of the video creator ## `authorUrl` (type: `string`): Link to the author's channel ## `thumbnail` (type: `string`): URL to the video thumbnail image ## `url` (type: `string`): Direct link to the YouTube video ## `viewCount` (type: `string`): Total number of views ## `likeCount` (type: `string`): Total number of likes ## `durationSeconds` (type: `string`): Video duration in seconds ## `publishDate` (type: `string`): Date when the video was published ## `channelId` (type: `string`): YouTube channel identifier ## `subscriberCount` (type: `string`): Number of channel subscribers ## `description` (type: `string`): Video description text ## `transcript` (type: `string`): Transcript segments with text, duration, and offset ## `processedAt` (type: `string`): Timestamp when the video was processed # 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 = { "url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ" }; // Run the Actor and wait for it to finish const run = await client.actor("fixitfoundry/youtube-transcript-actor").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 = { "url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ" } # Run the Actor and wait for it to finish run = client.actor("fixitfoundry/youtube-transcript-actor").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 '{ "url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ" }' | apify call fixitfoundry/youtube-transcript-actor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fixitfoundry/youtube-transcript-actor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "YouTube Transcript & Content Extractor", "description": "Extract full transcripts with timestamps, video metadata (views, likes, duration, publish date), and channel info from any public YouTube video.", "version": "0.2", "x-build-id": "7NJmvcR6fGgFLUsis" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fixitfoundry~youtube-transcript-actor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fixitfoundry-youtube-transcript-actor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fixitfoundry~youtube-transcript-actor/runs": { "post": { "operationId": "runs-sync-fixitfoundry-youtube-transcript-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fixitfoundry~youtube-transcript-actor/run-sync": { "post": { "operationId": "run-sync-fixitfoundry-youtube-transcript-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "url" ], "properties": { "url": { "title": "YouTube URL", "type": "string", "description": "YouTube video or playlist URL" }, "format": { "title": "Output Format", "enum": [ "json", "csv" ], "type": "string", "description": "Output format for dataset", "default": "json" }, "language": { "title": "Transcript Language", "type": "string", "description": "Preferred transcript language code (e.g., en, es, fr). Leave empty for auto-detect." } } }, "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 } } } } } } } } } } ```