Fetch YouTube transcripts via APIFY API. Works from cloud IPs (Hetzner, AWS, etc.) by bypassing YouTube's bot detection. Free tier includes $5/month credits (~714 videos). No credit card required.
Install
Documentation
youtube-apify-transcript
Fetch YouTube transcripts via APIFY API (works from cloud IPs, bypasses YouTube bot detection).
Why APIFY?
YouTube blocks transcript requests from cloud IPs (AWS, GCP, etc.). APIFY runs the request through residential proxies, bypassing bot detection reliably.
Free Tier
- -$5/month free credits (~714 videos)
- -No credit card required
- -Perfect for personal use
Cost
- -$0.007 per video (less than 1 cent!)
- -Track usage at: https://console.apify.com/billing
Links
- -🔗 [APIFY Pricing](https://apify.com/pricing)
- -🔑 [Get API Key](https://console.apify.com/account/integrations)
- -🎬 [YouTube Transcripts Actor](https://apify.com/karamelo/youtube-transcripts)
Setup
1. Create free APIFY account: https://apify.com/
2. Get your API token: https://console.apify.com/account/integrations
3. Set environment variable:
Add to ~/.bashrc or ~/.zshrc
export APIFY_API_TOKEN="apify_api_YOUR_TOKEN_HERE"
Or use .env file (never commit this!)
echo 'APIFY_API_TOKEN=apify_api_YOUR_TOKEN_HERE' >> .env
Usage
Basic Usage
Get transcript as text (uses cache by default)
python3 scripts/fetch_transcript.py "https://www.youtube.com/watch?v=VIDEO_ID"
Short URL also works
python3 scripts/fetch_transcript.py "https://youtu.be/VIDEO_ID"
Options
Output to file
python3 scripts/fetch_transcript.py "URL" --output transcript.txt
JSON format (includes timestamps)
python3 scripts/fetch_transcript.py "URL" --json
Both: JSON to file
python3 scripts/fetch_transcript.py "URL" --json --output transcript.json
Specify language preference
python3 scripts/fetch_transcript.py "URL" --lang de
Caching (saves money!)
Transcripts are cached locally by default. Repeat requests for the same video cost $0.
First request: fetches from APIFY ($0.007)
python3 scripts/fetch_transcript.py "URL"
Second request: uses cache (FREE!)
python3 scripts/fetch_transcript.py "URL"
Output: [cached] Transcript for: VIDEO_ID
Bypass cache (force fresh fetch)
python3 scripts/fetch_transcript.py "URL" --no-cache
View cache stats
python3 scripts/fetch_transcript.py --cache-stats
Clear all cached transcripts
python3 scripts/fetch_transcript.py --clear-cache
Cache location: .cache/ in skill directory (override with YT_TRANSCRIPT_CACHE_DIR env var)
Batch Mode
Process multiple videos at once:
Create a file with URLs (one per line)
cat > urls.txt << EOF
https://youtube.com/watch?v=VIDEO1
https://youtu.be/VIDEO2
https://youtube.com/watch?v=VIDEO3
EOF
Process all URLs
python3 scripts/fetch_transcript.py --batch urls.txt
Output:
[1/3] Fetching VIDEO1...
[2/3] [cached] VIDEO2
[3/3] Fetching VIDEO3...
Batch complete: 2 fetched, 1 cached, 0 failed
[Cost: ~$0.014 for 2 API call(s)]
Batch with JSON output to file
python3 scripts/fetch_transcript.py --batch urls.txt --json --output all_transcripts.json
Output Formats
Text (default):Hello and welcome to this video.
Today we're going to talk about...
JSON (--json):
{
"video_id": "dQw4w9WgXcQ",
"title": "Video Title",
"transcript": [
{"start": 0.0, "duration": 2.5, "text": "Hello and welcome"},
{"start": 2.5, "duration": 3.0, "text": "to this video"}
],
"full_text": "Hello and welcome to this video..."
}
Error Handling
The script handles common errors:
- -Invalid YouTube URL
- -Video has no transcript
- -API quota exceeded
- -Network errors
Metadata
metadata:
clawdbot:
emoji: "📹"
requires:
env: ["APIFY_API_TOKEN"]
bins: ["python3"]
Launch an agent with YouTube Apify Transcript on Termo.