YouTube channel monitor and video transcription using AssemblyAI cloud API. Pure Python + requests only — no ffmpeg, no Whisper, no extra tools needed. Monitors YouTube channels for new videos, extracts audio URLs via innertube API, submits to AssemblyAI for cloud transcription, and returns text + AI summary. Works on Mac, Linux, Windows. Only dependency: requests (usually pre-installed). Use when: user asks to monitor YouTube channels, transcribe YouTube videos, summarize video content, or set up YouTube content monitoring.
Monitor YouTube channels and auto-transcribe new videos using AssemblyAI cloud API. Zero local dependencies beyond requests.
requests library (usually pre-installed with OpenClaw/Python)Choose one:
# Option A: environment variable
export ASSEMBLYAI_API_KEY="your-key"
# Option B: config file
echo '{"api_key": "your-key"}' > data/config.json
Channel page → innertube API → audio direct URL → AssemblyAI cloud → text + summary
No local audio download, no Whisper, no ffmpeg. AssemblyAI handles everything server-side.
# Transcribe a single video
python3 scripts/monitor.py now "https://www.youtube.com/watch?v=VIDEO_ID"
# Add a channel to monitor
python3 scripts/monitor.py add "https://www.youtube.com/@ChannelName/videos" "Alias"
# Check all channels for new videos + transcribe
python3 scripts/monitor.py check [count_per_channel]
# List channels
python3 scripts/monitor.py list
# Remove channel
python3 scripts/monitor.py remove "Alias"
data/summaries/{video_id}.json.Each result includes:
text: full transcriptionsummary: AI-generated paragraph summaryconfidence: transcription confidence scoreutterances: timestamped segments with speaker labels| Path | Purpose |
|---|---|
data/channels.json | monitored channels |
data/processed.json | already-transcribed video IDs |
data/summaries/*.json | transcription results |
data/config.json | API key (optional) |