Extracts and analyzes YouTube comments for audience research using apidojo's YouTube scraper on Apify. Triggers when the user asks to: extract YouTube comments for research, analyze what viewers say in YouTube comments, scrape comments from a YouTube video for sentiment analysis, find common questions in YouTube comments, research audience feedback from YouTube video comments, extract top comments from a YouTube channel for audience insights, or analyze viewer reactions from YouTube comment sections. Returns comment text, likes on comment, reply count, commenter username, and timestamp. Ideal for content creators, brand researchers, product teams, and audience insight analysts.
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scraping-youtube-comments
试用Scrapes comments from any YouTube video using apidojo's YouTube scraper on Apify. Triggers when the user asks to: get all comments on a YouTube video, export YouTube comment data, scrape what viewers say about a YouTube video, fetch comment text and likes from a YouTube URL, collect comment threads from a YouTube video, or download audience feedback from a YouTube video. Returns commenter username, comment text, like count, reply count, and timestamp per comment. Ideal for sentiment researchers, product teams, and content analysts.
它能做什么
Scrapes comments from any YouTube video using apidojo's YouTube scraper on Apify. Triggers when the user asks to: get all comments on a YouTube video, export YouTube comment data, scrape what viewers say about a YouTube video, fetch comment text and likes from a YouTube URL, collect comment threads from a YouTube video, or download audience feedback from a YouTube video. Returns commenter username, comment text, like count, reply count, and timestamp per comment. Ideal for sentiment researchers, product teams, and content analysts.
技能文档
Scraping YouTube Comments
Exports the full comment dataset from any YouTube video. Returns comment text, author, and engagement for downstream analysis.
Prerequisites
APIFY_TOKENenvironment variable set- Optional: Apify MCP server installed
Inputs
| Parameter | Type | Required | Default | Notes |
|---|---|---|---|---|
startUrls | array | Optional | [] | YouTube URLs — channels, playlists, Shorts, search results |
youtubeHandles | array | Optional | [] | YouTube channel handles (e.g. @kurzgesagt) |
getTrending | boolean | Optional | false | Retrieve trending videos |
keywords | array | Optional | [] | Search keywords |
gl | string | Optional | us | Country code for results (e.g. US, GB) |
hl | string | Optional | en | Language code (e.g. en, de) |
uploadDate | string | Optional | all | Upload date filter: any, hour, today, week, month, year |
duration | string | Optional | all | Duration filter: any, short, long |
features | string | Optional | all | Feature filter: 4k, hd, live, cc, 3d, hdr, etc. |
sort | string | Optional | r | Sort order for search results |
maxItems | number | Optional | Unlimited | Maximum videos to return |
customMapFunction | string | Optional | — | 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_TOKENmust be set in environment or.envfile.
If Apify MCP is available:
Tool: apify:run-actor
Actor: "apidojo~youtube-comments-scraper"
Input:
{
"videoUrls": ["https://www.youtube.com/watch?v="],
"maxComments": 200,
"includeReplies": false
}
REST API fallback:
curl -X POST \
"https://api.apify.com/v2/acts/apidojo~youtube-comments-scraper/runs?token=$APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"videoUrls": [""], "maxComments": 200}'
Save id as RUN_ID. Poll until status = SUCCEEDED:
curl "https://api.apify.com/v2/actor-runs/$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: | 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.
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