# YouTube Transcript & AI Summary Extractor (`kind_cordial/youtube-transcript-ai-extractor`) Actor Extract YouTube transcripts from videos and Shorts URLs. Get clean transcript text, metadata, token counts, and optional AI-generated summaries in a structured dataset. - **URL**: https://apify.com/kind\_cordial/youtube-transcript-ai-extractor.md - **Developed by:** [Rupesh](https://apify.com/kind_cordial) (community) - **Categories:** AI, Automation, Videos - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 AI Extractor Turn YouTube videos and Shorts into usable text and summaries in one dataset row per URL. ### What it does - Resolves watch URLs, Shorts URLs, and raw video IDs. - Fetches readable transcript text with metadata. - Supports proxy fallback for restricted video pages. - Optional sub-200-word AI summary per video. - One dataset row per input URL. ### Example 1: single-video transcript ```json { "startUrls": ["https://www.youtube.com/watch?v=dQw4w9WgXcQ"], "mode": "auto", "maxVideos": 1, "includeRawTranscript": true, "includeSummary": false } ```` ### Example 2: batch Shorts rundown ```json { "startUrls": [ "https://www.youtube.com/watch?v=abc123", "https://www.youtube.com/watch?v=def456" ], "mode": "auto", "maxVideos": 10, "includeRawTranscript": false, "includeSummary": true, "summaryModel": "gpt-4o-mini", "maxTranscriptLength": 8000 } ``` ### Run costs This Actor uses pay-per-event pricing: - per dataset row written - per run Run cost depends on run count and row count. Check Apify console after you create a run. # Actor input Schema ## `startUrls` (type: `array`): YouTube watch URLs, shorts URLs, or video IDs. ## `mode` (type: `string`): direct uses youtube-transcript-api; browser clicks the transcript UI; auto tries direct first. ## `maxVideos` (type: `integer`): Maximum number of start URLs to process in one run. ## `languages` (type: `array`): Language codes in preference order. ## `languagesExtended` (type: `array`): Additional fallback codes used when preferred languages are unavailable. Defaults to preferred languages when omitted. ## `includeRawTranscript` (type: `boolean`): Return transcript text in output. ## `includeSummary` (type: `boolean`): Generate an optional transcript summary when a transcript is available. ## `maxTranscriptLength` (type: `integer`): Truncate transcript text after this many characters. ## `summaryModel` (type: `string`): Model name used for optional summarization. ## `proxyConfiguration` (type: `object`): Proxy settings passed through for runs that may need residential or datacenter fallback. ## Actor input object example ```json { "mode": "auto", "maxVideos": 1, "languages": [ "en", "en-US", "en-GB", "a.en" ], "includeRawTranscript": true, "includeSummary": false, "maxTranscriptLength": 15000, "summaryModel": "gpt-4o-mini", "proxyConfiguration": {} } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("kind_cordial/youtube-transcript-ai-extractor").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 = {} # Run the Actor and wait for it to finish run = client.actor("kind_cordial/youtube-transcript-ai-extractor").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 '{}' | apify call kind_cordial/youtube-transcript-ai-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=kind_cordial/youtube-transcript-ai-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "YouTube Transcript & AI Summary Extractor", "description": "Extract YouTube transcripts from videos and Shorts URLs. Get clean transcript text, metadata, token counts, and optional AI-generated summaries in a structured dataset.", "version": "0.1", "x-build-id": "a79BfMdXcQYIcCkYf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/kind_cordial~youtube-transcript-ai-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-kind_cordial-youtube-transcript-ai-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/kind_cordial~youtube-transcript-ai-extractor/runs": { "post": { "operationId": "runs-sync-kind_cordial-youtube-transcript-ai-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/kind_cordial~youtube-transcript-ai-extractor/run-sync": { "post": { "operationId": "run-sync-kind_cordial-youtube-transcript-ai-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": [ "startUrls" ], "properties": { "startUrls": { "title": "YouTube URLs", "type": "array", "description": "YouTube watch URLs, shorts URLs, or video IDs.", "items": { "type": "string" } }, "mode": { "title": "Fetch mode", "enum": [ "auto", "direct", "browser" ], "type": "string", "description": "direct uses youtube-transcript-api; browser clicks the transcript UI; auto tries direct first.", "default": "auto" }, "maxVideos": { "title": "Max videos", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum number of start URLs to process in one run.", "default": 1 }, "languages": { "title": "Preferred transcript languages", "type": "array", "description": "Language codes in preference order.", "items": { "type": "string" }, "default": [ "en", "en-US", "en-GB", "a.en" ] }, "languagesExtended": { "title": "Extended fallback languages", "type": "array", "description": "Additional fallback codes used when preferred languages are unavailable. Defaults to preferred languages when omitted.", "items": { "type": "string" } }, "includeRawTranscript": { "title": "Include raw transcript", "type": "boolean", "description": "Return transcript text in output.", "default": true }, "includeSummary": { "title": "Include AI summary", "type": "boolean", "description": "Generate an optional transcript summary when a transcript is available.", "default": false }, "maxTranscriptLength": { "title": "Max transcript length", "minimum": 1000, "maximum": 50000, "type": "integer", "description": "Truncate transcript text after this many characters.", "default": 15000 }, "summaryModel": { "title": "Summary model", "type": "string", "description": "Model name used for optional summarization.", "default": "gpt-4o-mini" }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings passed through for runs that may need residential or datacenter fallback.", "default": {} } } }, "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 } } } } } } } } } } ```