scraping-tiktok-comments
About scraping-tiktok-comments
A skill for collecting comments from TikTok video URLs and exporting raw data for sentiment analysis, community research, or product feedback extraction. It can include replies and limit the number of returned comments.
Key features
- 01Scrape comments from TikTok video URLs
- 02Optionally include nested replies
- 03Limit the number of comments returned
- 04Return comment text, authors, and engagement fields
Use cases
- 01Collect video comments for sentiment analysis
- 02Research discussions in TikTok communities
- 03Extract product feedback from comments
MCP support
Can run apidojo~tiktok-comments-scraper through Apify MCP.
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ apidojo-io/ apidojo-skills --skill scraping-tiktok-commentsAfter installing, type/scraping-tiktok-commentsin Claude Code to confirm it loaded.
Details
From the project READMEScraping TikTok Comments
Exports all comments from any TikTok video URL. Returns the raw comment dataset for sentiment analysis, community research, or product feedback extraction.
Prerequisites
APIFY_TOKENenvironment variable set- Optional: Apify MCP server installed
Inputs
| Parameter | Type | Required | Default | Notes |
|---|---|---|---|---|
startUrls | array | ✅ | [] | TikTok video URLs to scrape comments from |
includeReplies | boolean | Optional | false | Include reply comments (nested) |
maxItems | number | Optional | Unlimited | Maximum comments to return |
customMapFunction | string | Optional | — | JavaScript function to transform each output object |
Workflow
Progress:
- [ ] Step 1: Validate video URLs
- [ ] Step 2: Run tiktok-comments-scraper
- [ ] 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~tiktok-comments-scraper" \
--input '{"param": "value"}'
# Save as CSV
node scripts/run_actor.js \
--actor "apidojo~tiktok-comments-scraper" \
--input '{"param": "value"}' \
--output YYYY-MM-DD_results.csv --format csv
# Save as JSON
node scripts/run_actor.js \
--actor "apidojo~tiktok-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~tiktok-comments-scraper"
Input:
{
"videoUrls": ["https://www.tiktok.com/@user/video/123456"],
"maxItems": 200,
"includeReplies": false
}
REST API fallback:
curl -X POST \
"https://api.apify.com/v2/acts/apidojo~tiktok-comments-scraper/runs?token=$APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"videoUrls": ["<url>"], "maxItems": 200}'
Save id as RUN_ID. Poll until status = SUCCEEDED:
curl "https://api.apify.com/v2/actor-runs/$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
- 0 comments: Video may have comments disabled or be private. Report to user.
- Video deleted or unavailable: Actor returns error — remove URL from batch and notify.
- Comment count less than expected: TikTok filters spam comments server-side; this is expected.
Output Format
# TikTok Comment Dataset
Video: <url> | Comments collected: N | Includes replies: YES/NO
| Comment ID | Author | Text | Likes | Replies | Timestamp |
|------------|--------|------|-------|---------|-----------|
| ... | ... | ... | ... | ... | ... |
Available fields: id, text, authorUsername, diggCount, replyCount, createTime,
isReply, parentCommentId
Troubleshooting
Comments disabled: Creator has disabled comments — no workaround. Truncated comments: Some comments may be cut off by TikTok's API; full text available via video page.