Use Case

Batch YouTube Transcript Extraction

The Problem

Processing individual videos one at a time is slow and inefficient when you need transcripts from an entire channel, playlist, or a large dataset of videos. Making hundreds of sequential API calls wastes time and complicates error handling.

The Solution

Our Batch API processes up to 25 videos in a single request. Send an array of YouTube URLs and receive all transcripts in one response. Combined with pagination and retry logic, you can process thousands of videos efficiently. Each video in the batch is processed in parallel on our servers.

Implementation Example

import httpx

API_KEY = "YOUR_API_KEY"

# Batch request — up to 25 videos at once
video_urls = [
    "https://youtube.com/watch?v=VIDEO1",
    "https://youtube.com/watch?v=VIDEO2",
    "https://youtube.com/watch?v=VIDEO3",
    "https://youtube.com/watch?v=VIDEO4",
    "https://youtube.com/watch?v=VIDEO5",
]

response = httpx.post(
    "https://api.youtubetranscripts.co/v1/batch",
    json={"urls": video_urls},
    headers={"x-api-key": API_KEY},
    timeout=120,
)

results = response.json()

for result in results["transcripts"]:
    if result.get("error"):
        print(f"Error for {result['url']}: {result['error']}")
    else:
        print(f"{result['title']}: {len(result['transcript'])} segments")

Why Developers Choose YouTubeTranscripts.co

Process up to 25 videos per API call

Server-side parallel processing for maximum speed

Individual error handling per video in the batch

Process entire channels and playlists efficiently

Reduce total API calls and simplify rate limiting

Perfect for data pipelines and ETL workflows

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