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marketing-youtube-mine

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更新日2026年6月15日 03:19

Mine YouTube comments for unanswered questions via yt-dlp — search videos by query or channel, pull top comments, extract question-shaped comments with reply-based answered detection, and cluster the unanswered ones. Output is drop-in compatible with marketing-reddit's mine command, so downstream daily SEO johnkueh-daily SEO loops consume either source identically. No API key (yt-dlp scrapes the public site). Replaces the retired comment-mine YouTube path. Triggers on "mine youtube", "youtube comments for", "what are people asking on youtube", "youtube questions about", "yt mine", "pull comments from this video", "recent uploads from channel".

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johnkueh

johnkueh/claude-skills

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marketing-youtube-mine

yt-dlp-backed comment miner. Two-stage: ytsearch (or a channel's /videos tab) finds videos, then per-video comment extraction with --extractor-args "youtube:max_comments=N,...;comment_sort=top". Question detection, answered heuristics, and clustering are a straight Python port of marketing-reddit's NLP, so both miners produce the same shapes and quality bar.

Setup — nothing to configure

Only dependency is yt-dlp on PATH (brew install yt-dlp). No API key, no config. Run doctor to confirm:

python3 ~/Projects/claude-skills/skills/marketing-youtube-mine/cli.py doctor

Commands

CLI=~/Projects/claude-skills/skills/marketing-youtube-mine/cli.py

# End-to-end mine: search → comments → questions → clusters (the daily-loop entry point)
python3 $CLI mine --query "retatrutide dosing" --videos 8 --comments 250 \
  --topic-keywords "reta|retatrutide|glp|dose"        # optional regex filter

# List videos: by search query, or a channel's recent uploads
python3 $CLI videos --query "claude code" --limit 15
python3 $CLI videos --channel @LennysPodcast --limit 15

# Raw comments for one video (debugging / deeper reads)
python3 $CLI comments --video VIDEO_ID --limit 250

Output shape (`mine`)

{
  "query": "...", "videos_scanned": 8, "comments_scanned": 1900,
  "n_questions": 31, "n_unanswered": 12,
  "questions": [{ "q": "...", "score": 14, "answered": false, "n_replies": 0,
                  "source": "youtube-comment", "thread_title": "<video title>",
                  "permalink": "https://www.youtube.com/watch?v=..." }],
  "top_questions": [...],
  "clusters_unanswered": [{ "key": "dose + split", "count": 3, "top_score": 14,
                            "sample": "...", "permalink": "...", "examples": [...] }],
  "failures": [{ "video": "...", "error": "..." }]
}

Same questions[] / clusters_unanswered fields as marketing-reddit — merge the two sources by concatenating questions arrays.

Behavior notes

--comments N is per video, top-sorted; replies are capped at 10 per thread (enough for answered detection without paying for full reply trees).
answered = a top-level question has at least one substantive reply (≥40 chars, not itself a question, not "idk/same/yes/no").
One dead/private video never kills the mine — it lands in failures[] and the rest proceed (the daily loops require best-effort mining).
Cost: free; wall-clock ~20–60s per video at 250 comments. 8 videos ≈ 3–6 min.
A small n_questions is normal: top-sorted comments skew to highly-replied (answered) threads, and --topic-keywords drops off-topic questions before extraction. Drop the topic filter for breadth, filter downstream instead.
YouTube occasionally rate-limits comment fetches on cloud IPs; on residential connections (where the daily loops run) this is rare. A persistent failures[] wall means update yt-dlp (brew upgrade yt-dlp) first.

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name

marketing-youtube-mine

description

marketing-youtube-mine

Setup — nothing to configure

Only dependency is yt-dlp on PATH (brew install yt-dlp). No API key, no config. Run doctor to confirm:

python3 ~/Projects/claude-skills/skills/marketing-youtube-mine/cli.py doctor

Commands

CLI=~/Projects/claude-skills/skills/marketing-youtube-mine/cli.py

# End-to-end mine: search → comments → questions → clusters (the daily-loop entry point)
python3 $CLI mine --query "retatrutide dosing" --videos 8 --comments 250 \
  --topic-keywords "reta|retatrutide|glp|dose"        # optional regex filter

# List videos: by search query, or a channel's recent uploads
python3 $CLI videos --query "claude code" --limit 15
python3 $CLI videos --channel @LennysPodcast --limit 15

# Raw comments for one video (debugging / deeper reads)
python3 $CLI comments --video VIDEO_ID --limit 250

Output shape (`mine`)

{
  "query": "...", "videos_scanned": 8, "comments_scanned": 1900,
  "n_questions": 31, "n_unanswered": 12,
  "questions": [{ "q": "...", "score": 14, "answered": false, "n_replies": 0,
                  "source": "youtube-comment", "thread_title": "<video title>",
                  "permalink": "https://www.youtube.com/watch?v=..." }],
  "top_questions": [...],
  "clusters_unanswered": [{ "key": "dose + split", "count": 3, "top_score": 14,
                            "sample": "...", "permalink": "...", "examples": [...] }],
  "failures": [{ "video": "...", "error": "..." }]
}

Same questions[] / clusters_unanswered fields as marketing-reddit — merge the two sources by concatenating questions arrays.

Behavior notes

--comments N is per video, top-sorted; replies are capped at 10 per thread (enough for answered detection without paying for full reply trees).
answered = a top-level question has at least one substantive reply (≥40 chars, not itself a question, not "idk/same/yes/no").
One dead/private video never kills the mine — it lands in failures[] and the rest proceed (the daily loops require best-effort mining).
Cost: free; wall-clock ~20–60s per video at 250 comments. 8 videos ≈ 3–6 min.
A small n_questions is normal: top-sorted comments skew to highly-replied (answered) threads, and --topic-keywords drops off-topic questions before extraction. Drop the topic filter for breadth, filter downstream instead.
YouTube occasionally rate-limits comment fetches on cloud IPs; on residential connections (where the daily loops run) this is rare. A persistent failures[] wall means update yt-dlp (brew upgrade yt-dlp) first.

marketing-youtube-mine

marketing-youtube-mine

Setup — nothing to configure

Commands

Output shape (mine)

Behavior notes

このリポジトリの他の Skills

このリポジトリの他の Skills

marketing-youtube-mine

Setup — nothing to configure

Commands

Output shape (mine)

Behavior notes

Output shape (`mine`)

Output shape (`mine`)