You can access the AI YouTube Transcript Analyzer programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "videoUrl": "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
10    "prompt": "Summarize the video in one sentence.",
11    "jsonschema": {
12        "title": "video_summary",
13        "type": "object",
14        "additionalProperties": False,
15        "properties": { "summary": { "type": "string" } },
16        "required": ["summary"],
17    },
18}
19
20# Run the Actor and wait for it to finish
21run = client.actor("hexa-api/youtube-transcript-ai-analyzer").call(run_input=run_input)
22
23# Fetch and print Actor results from the run's dataset (if there are any)
24print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
25for item in client.dataset(run["defaultDatasetId"]).iterate_items():
26    print(item)
27
28# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

AI YouTube Transcript Analyzer with Prompt and JSON Schema API in Python

The Apify API client for Python is the official library that allows you to use AI YouTube Transcript Analyzer API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client