Download and process YouTube content for research. Use when: downloading competitor videos for analysis; extracting audio for podcasts; getting transcripts for content repurposing; archiving webinars; research content curation
The English summary is being prepared. Showing the original description.
Run score Not tested
See how to installReview the instructions the agent will receive before you install.
Download YouTube videos, extract audio, and get transcripts using yt-dlp - the most reliable YouTube extraction tool.
| Claude Does | You Decide |
|---|---|
| Structures production workflow | Final creative direction |
| Suggests technical approaches | Equipment and tool choices |
| Creates templates and checklists | Quality standards |
| Identifies best practices | Brand/voice decisions |
| Generates script outlines | Final script approval |
pip install yt-dlp click
# Optional for transcription:
pip install openai-whisper
python scripts/main.py download "https://youtube.com/watch?v=..." --format mp4
python scripts/main.py download "https://youtube.com/watch?v=..." --quality 1080p
python scripts/main.py audio "https://youtube.com/watch?v=..." --format mp3
python scripts/main.py audio "https://youtube.com/watch?v=..." --format wav
python scripts/main.py transcript "https://youtube.com/watch?v=..."
python scripts/main.py transcript "https://youtube.com/watch?v=..." --translate en
python scripts/main.py playlist "https://youtube.com/playlist?list=..." --limit 10
python scripts/main.py playlist "https://youtube.com/playlist?list=..." --audio-only
python scripts/main.py info "https://youtube.com/watch?v=..."
python scripts/main.py info "https://youtube.com/watch?v=..." --format json
# Get video metadata
python scripts/main.py info "https://youtube.com/watch?v=ABC123"
# Output:
# Title: How We Grew to $1M ARR
# Channel: SaaS Founder
# Duration: 15:32
# Views: 45,230
# Published: 2024-01-15
# Tags: saas, growth, startup
# Download transcript for analysis
python scripts/main.py transcript "https://youtube.com/watch?v=ABC123"
# Output: how-we-grew-to-1m-arr.txt
# Download audio only
python scripts/main.py audio "https://youtube.com/watch?v=WEBINAR" --format mp3 --quality best
# Output: webinar-title.mp3 (ready for podcast editing)
# Get transcript for show notes
python scripts/main.py transcript "https://youtube.com/watch?v=WEBINAR"
# Output: webinar-title.txt
# Download entire playlist
python scripts/main.py playlist "https://youtube.com/playlist?list=TRAINING" \
--output ./training-videos/ \
--limit 20
# Output:
# ./training-videos/
# ├── 01-introduction.mp4
# ├── 02-getting-started.mp4
# └── ...
| Option | Resolution | File Size | Use Case |
|---|---|---|---|
best | Highest available | Largest | Archival |
1080p | 1920x1080 | ~1GB/hour | Standard |
720p | 1280x720 | ~500MB/hour | Balance |
480p | 854x480 | ~250MB/hour | Mobile |
audio | N/A | ~100MB/hour | Podcasts |
| Format | Quality | Size | Compatibility |
|---|---|---|---|
mp3 | Good | Small | Universal |
m4a | Better | Medium | Apple/Modern |
wav | Lossless | Large | Editing |
opus | Best | Smallest | Modern apps |
⚠️ Important: Only download content you have rights to use.
Generally OK:
Check First:
category: automation
subcategory: content-extraction
dependencies: [yt-dlp]
difficulty: beginner
time_saved: 4+ hours/week
No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
Measure and optimize growth using the AARRR (Pirate Metrics) framework with stage-specific KPIs and funnel analysis
The English summary is being prepared. Showing the original description.
Calculate A/B test statistical significance. Use when: determining if test results are significant; calculating required sample size; estimating test duration; analyzing conversion experiments; making data-driven decisions
The English summary is being prepared. Showing the original description.
Assess customer account health using product usage, support sentiment, payment status, and relationship signals
The English summary is being prepared. Showing the original description.
Analyze paid advertising performance across channels and recommend budget reallocation to maximize ROAS and minimize CAC. Use when: planning quarterly ad budget allocation, diagnosing underperforming ad channels, deciding whether to scale spend on a channel, calculating marginal ROI across Google Ads, Meta, LinkedIn, or TikTok, rebalancing media mix after performance shifts, or setting up a test-and-scale framework for new channels.
The English summary is being prepared. Showing the original description.
Use when testing skills, commands, or agents for quality. Use after creating new skills, before deploying agents, or when debugging inconsistent agent behavior. Triggers on "evaluate", "test quality", "is this skill working", or QA of AI workflows.
The English summary is being prepared. Showing the original description.
Use when analyzing server logs to understand how AI crawlers (GPTBot, ClaudeBot, PerplexityBot) interact with your site. Use when optimizing content placement for LLM retrieval, diagnosing why AI search isn't citing your content, or auditing crawl patterns to find optimization gaps.
The English summary is being prepared. Showing the original description.