๐ฌ YouTube Transcript, Subtitles & LLM Context Extractor (MCP)
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Extract YouTube video transcripts, timed subtitles, chapters, view metrics, and token-optimized text for Claude Desktop, Cursor, ChatGPT, and RAG pipelines without API keys.
You can access the ๐ฌ YouTube Transcript, Subtitles & LLM Context Extractor (MCP) programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youโll need an Apify account and your API token, found in API & Integrations in Apify Console.
![YouTube Shorts [Only $0.45๐ฐ] Scraper avatar](https://images.apifyusercontent.com/QycCQx1quhTcnOrSBDOBxyYo4N_mTVwis9MhaMS94KQ/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vbmduOHZSRVNUa3NleVdFNnAtYWN0b3ItU1NSd2VwR0t3ekZLWWVScmstT1JvY0s0cUNoUC15dC5wbmc.webp){kind=avatar}
# Set API token$API_TOKEN=<YOUR_API_TOKEN>
# Prepare Actor input$cat > input.json << 'EOF'<{}<EOF
# Run the Actor using an HTTP API# See the full API reference at https://docs.apify.com/api/v2$curl "https://api.apify.com/v2/actors/unrivaled_fortress~youtube-transcript-subtitles-llm-mcp/runs?token=$API_TOKEN" \< -X POST \< -d @input.json \< -H 'Content-Type: application/json'Below, you can find a list of relevant HTTP API endpoints for calling the ๐ฌ YouTube Transcript, Subtitles & LLM Context Extractor (MCP) Actor. For this, youโll need an Apify account. Replace <YOUR_API_TOKEN> in the URLs with your Apify API token, which you can find under API & Integrations in Apify Console. For details, see the API reference.
https://api.apify.com/v2/actors/unrivaled_fortress~youtube-transcript-subtitles-llm-mcp/runs?token=<YOUR_API_TOKEN>Note: By adding the method=POST query parameter, this API endpoint can be called using a GET request and thus used in third-party webhooks. Please refer to our Run Actor API documentation.
https://api.apify.com/v2/actors/unrivaled_fortress~youtube-transcript-subtitles-llm-mcp/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>Note: This endpoint supports both POST and GET request methods. However, only the POST method allows you to pass input data. For more information, please refer to our Run Actor synchronously and get dataset items API documentation.
https://api.apify.com/v2/actors/unrivaled_fortress~youtube-transcript-subtitles-llm-mcp?token=<YOUR_API_TOKEN>For more information, please refer to our Get Actor API documentation.
Actors can be used to scrape web pages, extract data, or automate browser tasks. Use the ๐ฌ YouTube Transcript, Subtitles & LLM Context Extractor (MCP) API programmatically via the Apify API.
You can choose from:
๐ฌ YouTube Transcript, Subtitles & LLM Context Extractor (MCP) API in Python
๐ฌ YouTube Transcript, Subtitles & LLM Context Extractor (MCP) API in JavaScript
๐ฌ YouTube Transcript, Subtitles & LLM Context Extractor (MCP) API through CLI
๐ฌ YouTube Transcript, Subtitles & LLM Context Extractor (MCP) OpenAPI definition
You can start ๐ฌ YouTube Transcript, Subtitles & LLM Context Extractor (MCP) with the Apify API by sending an HTTP POST request to the Run Actorendpoint. An Actorโs input and its content type can be passed as a payload of the POST request, and additional options can be specified using URL query parameters. The ๐ฌ YouTube Transcript, Subtitles & LLM Context Extractor (MCP) is identified within the API by its ID, which is the creatorโs username and the name of the Actor.
When the ๐ฌ YouTube Transcript, Subtitles & LLM Context Extractor (MCP) run finishes you can list the data from its default dataset(storage) via the API or you can preview the data directly on Apify Console.