scraping-tiktok-user-data
Scrapes detailed TikTok user data and recent video history using apidojo's TikTok User scraper on Apify. Triggers when the user asks to: get all videos from a TikTok account, fetch a TikTok creator's recent posts and stats, export a TikTok user's video history, scrape all TikTok content from a specific creator, get TikTok post data by username, or collect video-level metrics from a TikTok profile. Returns per-video view count, likes, comments, shares, captions, and timestamps for a given account. Ideal for creator analysis, content auditing, and competitive benchmarking.
How do I install this agent skill?
npx skills add https://github.com/apidojo-io/apidojo-skills --skill scraping-tiktok-user-dataIs this agent skill safe to install?
- Gen Agent Trust Hubpass
The skill provides instructions and tools for scraping TikTok data using the Apify platform. It is generally safe but involves processing untrusted content from the web, which presents a surface for indirect prompt injection.
- Socketwarn
1 alert: gptAnomaly
- Snykwarn
Risk: MEDIUM · 1 issue
What does this agent skill do?
Scraping TikTok User Data
Exports a creator's full video history with per-video engagement metrics. Complements scraping-tiktok-profile-data (account-level) with video-level detail.
Prerequisites
APIFY_TOKENenvironment variable set- Optional: Apify MCP server installed
Inputs
| Parameter | Type | Required | Default | Notes |
|---|---|---|---|---|
startUrls | array | ✅ | [] | TikTok profile URLs or video URLs (extracts author from videos) |
getFollowers | boolean | Optional | false | Also extract complete follower lists |
getFollowing | boolean | Optional | false | Also extract complete following lists |
maxItems | number | Optional | Unlimited | Maximum users to return |
customMapFunction | string | Optional | — | JavaScript function to transform each output object |
Workflow
Progress:
- [ ] Step 1: Run tiktok-user-scraper
- [ ] Step 2: Poll for SUCCEEDED
- [ ] Step 3: Deliver video dataset
Step 1: 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-user-scraper" \
--input '{"param": "value"}'
# Save as CSV
node scripts/run_actor.js \
--actor "apidojo~tiktok-user-scraper" \
--input '{"param": "value"}' \
--output YYYY-MM-DD_results.csv --format csv
# Save as JSON
node scripts/run_actor.js \
--actor "apidojo~tiktok-user-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-user-scraper"
Input:
{
"username": "<handle>",
"maxVideos": 50
}
REST API fallback:
curl -X POST \
"https://api.apify.com/v2/acts/apidojo~tiktok-user-scraper/runs?token=$APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"username": "<handle>", "maxVideos": 50}'
Save id as RUN_ID. Poll until status = SUCCEEDED:
curl "https://api.apify.com/v2/actor-runs/$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 2: Handle Edge Cases
- Private account: Returns 0 videos. Inform user.
- Account with < requested videos: Return all available; note count in output.
- Deleted videos in feed: Skip entries with missing
playCountfields.
Output Format
# TikTok Video History: @<username>
Videos collected: N
| Video ID | Caption (truncated) | Views | Likes | Comments | Shares | Duration | Posted |
|----------|---------------------|-------|-------|----------|--------|----------|--------|
| ... | ... | ... | ... | ... | ... | ... | ... |
Available fields: videoId, desc, playCount, diggCount, commentCount, shareCount,
duration, createTime, videoUrl, musicTitle, hashtags
Troubleshooting
0 videos returned: Account is private or username incorrect.
Pay-per-result billing: This actor uses pay-per-result pricing — set maxVideos to control cost.
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/apidojo-io/apidojo-skills/scraping-tiktok-user-data">View scraping-tiktok-user-data on skillZs</a>