youtube-apify-transcript — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited youtube-apify-transcript (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Fetch YouTube transcripts via APIFY API (works from cloud IPs, bypasses YouTube bot detection).
YouTube blocks transcript requests from cloud IPs (AWS, GCP, etc.). APIFY runs the request through residential proxies, bypassing bot detection reliably.
# 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# 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"# 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 deTranscripts 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-cacheCache location: .cache/ in skill directory (override with YT_TRANSCRIPT_CACHE_DIR env var)
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
# Batch with JSON output to file
python3 scripts/fetch_transcript.py --batch urls.txt --json --output all_transcripts.jsonThe script sends the following input to pintostudio/youtube-transcript-scraper:
{
"videoUrl": "https://www.youtube.com/watch?v=VIDEO_ID"
}Output fields:
Each result contains a data array of transcript segments:
| Field | Type | Description |
|---|---|---|
start | number | Segment start time (seconds) |
dur | number | Segment duration (seconds) |
text | string | Transcript text for this segment |
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, "dur": 2.5, "text": "Hello and welcome"},
{"start": 2.5, "dur": 3.0, "text": "to this video"}
],
"full_text": "Hello and welcome to this video..."
}The script handles common errors:
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.