scraping-youtube-comments

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UpdatedOct 05, 2026normalized snapshot

SKILL.md

Scraping YouTube Comments

Exports the full comment dataset from any YouTube video. Returns comment text, author, and engagement for downstream analysis.

Prerequisites

  • APIFY_TOKEN environment variable set
  • Optional: Apify MCP server installed

Inputs

ParameterTypeRequiredDefaultNotes
startUrlsarrayOptional[]YouTube URLs — channels, playlists, Shorts, search results
youtubeHandlesarrayOptional[]YouTube channel handles (e.g. @kurzgesagt)
getTrendingbooleanOptionalfalseRetrieve trending videos
keywordsarrayOptional[]Search keywords
glstringOptionalusCountry code for results (e.g. US, GB)
hlstringOptionalenLanguage code (e.g. en, de)
uploadDatestringOptionalallUpload date filter: any, hour, today, week, month, year
durationstringOptionalallDuration filter: any, short, long
featuresstringOptionalallFeature filter: 4k, hd, live, cc, 3d, hdr, etc.
sortstringOptionalrSort order for search results
maxItemsnumberOptionalUnlimitedMaximum videos to return
customMapFunctionstringOptional—JavaScript function to transform each output object

Workflow

Progress:
- [ ] Step 1: Validate video URLs
- [ ] Step 2: Run youtube-scraper (comment mode)
- [ ] Step 3: Poll for SUCCEEDED
- [ ] Step 4: Deliver comment dataset

Step 2: Run the Actor

Recommended — run_actor.js (handles waiting, output, and file saving automatically):

# Quick answer (prints table to chat)
node scripts/run_actor.js \
  --actor "apidojo~youtube-comments-scraper" \
  --input '{"param": "value"}'

# Save as CSV
node scripts/run_actor.js \
  --actor "apidojo~youtube-comments-scraper" \
  --input '{"param": "value"}' \
  --output YYYY-MM-DD_results.csv --format csv

# Save as JSON
node scripts/run_actor.js \
  --actor "apidojo~youtube-comments-scraper" \
  --input '{"param": "value"}' \
  --output YYYY-MM-DD_results.json --format json

APIFY_TOKEN must be set in environment or .env file.

If Apify MCP is available:

Tool: apify:run-actor
Actor: "apidojo~youtube-comments-scraper"
Input:
{
  "videoUrls": ["https://www.youtube.com/watch?v=<VIDEO_ID>"],
  "maxComments": 200,
  "includeReplies": false
}

REST API fallback:

curl -X POST \
  "https://api.apify.com/v2/acts/apidojo~youtube-comments-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"videoUrls": ["<url>"], "maxComments": 200}'

Save id as RUN_ID. Poll until status = SUCCEEDED:

curl "https://api.apify.com/v2/actor-runs/$RUN_ID?token=$APIFY_TOKEN" | grep '"status"'

Fetch results:

curl "https://api.apify.com/v2/actor-runs/$RUN_ID/dataset/items?token=$APIFY_TOKEN&format=json"

Step 3: Handle Edge Cases

  • Comments disabled: Returns 0 — inform user.
  • Live streams: Comment data may be incomplete for live/premiere videos.
  • Deleted comments: May appear as empty text strings — filter out rows with text: "".

Output Format

# YouTube Comment Dataset
Video: <url> | Comments collected: N | Includes replies: YES/NO

| Comment ID | Author | Text | Likes | Replies | Timestamp |
|------------|--------|------|-------|---------|-----------|
| ...        | ...    | ...  | ...   | ...     | ...       |

Available fields: id, authorDisplayName, textDisplay, likeCount, totalReplyCount,
publishedAt, isReply, parentId

Troubleshooting

Comments disabled: Creator has turned off comments — cannot be retrieved. Truncated text: YouTube API may truncate very long comments; full text requires reply fetching.