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.

Default actor

topaz_sharingan/youtube-transcript-scraper-1 (YouTube Transcript Ninja). Store sheet: https://apify.com/topaz_sharingan/youtube-transcript-scraper-1

Checked against the Apify API on 2026-08-31:

• Public, not deprecated (isDeprecated: false, notice: NONE)
• Last code change: 2026-07-19
• 30-day public runs: 36,362 succeeded, 0 failed, 91 timed out, 18 aborted (36,471 total)

Cost

Pay per event: $0.01 per result ($10.00 per 1,000 results). The actor page states platform compute is included in that event price. Older docs that said $0.007 per video were wrong.

Apify Free plan (https://apify.com/pricing, 2026-08-31): $5 prepaid usage per month, no credit card. Unused credits do not roll over.

Free-tier video count: $5 / $0.01 = 500 videos per month, not 714. (714 was $5 / $0.007.) Repeat requests served from the local cache do not start an actor run.

Track spend at https://console.apify.com/billing

Input

OpenAPI input schema on 2026-08-31 has two fields:

Field	Type	Required	Default	Role
startUrls	string[]	yes	(none)	YouTube video URLs
timestamps	boolean	no	false	true: transcript as {timestamp, text} array. false: joined text

There is no language field. --lang on the CLI does not change the default actor's input. The script only forwards --lang for other actor IDs (pintostudio, starvibe, karamelo). For topaz_sharingan~Youtube-Transcript-Scraper-1 it sends startUrls only.

{
  "startUrls": ["https://www.youtube.com/watch?v=VIDEO_ID"],
  "timestamps": false
}

The schema types startUrls items as strings. The script currently sends [{"url": "..."}] Request-list objects.

Output

Actor sheet examples:

• timestamps: false → {"transcript": "plain text..."}
• timestamps: true → {"transcript": [{"timestamp": "0:01", "text": "..."}]}

The skill script also looks for text, captions, title / videoTitle, and channelName. If a run returns only transcript, formatting depends on whether that value is a string or a list.

Links

• Apify Pricing
• Get API token
• YouTube Transcripts Actor

Setup

1. Create a free Apify account: https://apify.com/
2. Get your API token: https://console.apify.com/account/integrations
3. Set the environment variable and install requests yourself. OpenClaw has no kind: pip installer (allowed kinds: brew, node, go, uv, download), so this is a manual step.

# Add to ~/.bashrc or ~/.zshrc
export APIFY_API_TOKEN="apify_api_YOUR_TOKEN_HERE"

# Python dependency (once)
python3 -m pip install requests

# 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 when the payload has them)
python3 scripts/fetch_transcript.py "URL" --json

# Both: JSON to file
python3 scripts/fetch_transcript.py "URL" --json --output transcript.json

# --lang is accepted by the CLI but is not sent to the default actor
# (no language field on topaz_sharingan/youtube-transcript-scraper-1).
python3 scripts/fetch_transcript.py "URL" --lang de

Caching

Transcripts are cached locally by default. Repeat requests for the same video do not start an actor run.

# First request: fetches from Apify ($0.01)
python3 scripts/fetch_transcript.py "URL"

# Second request: uses cache
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: ~$0.020 for 2 API call(s)]

# Batch with JSON output to file
python3 scripts/fetch_transcript.py --batch urls.txt --json --output all_transcripts.json

The script's cost line prints $0.01 per result, so two fetched videos show about $0.02.

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..."
}

The actor's timestamped items use timestamp (string like "0:01"), not start / duration. The JSON example above is the skill script's shape when captions already have those keys.

Agent Instructions

When the user asks to summarize a YouTube video, first fetch the transcript using the script, then summarize the transcript text directly using your own model capabilities. Do NOT use --summarize flag.

Error Handling

The script handles common errors:

• Invalid YouTube URL
• Video has no transcript
• API quota exceeded
• Network errors

Metadata

Runtime requirements live in the YAML frontmatter (metadata.openclaw). OpenClaw 2.0 (v2026.8.1) installer kinds are brew, node, go, uv, and download. There is no kind: pip. Install requests with python3 -m pip install requests.