scraping-tiktok-user-data

核心功能是调用Apify的TikTok用户爬虫，获取指定账号的视频内容及每支视频的浏览、点赞、评论、分享等互动统计，还可按需获取粉丝、关注列表。典型场景包括创作者分析、内容审计、竞品对标。输入支持TikTok账号URL/用户名，可设置最大获取数量；输出支持JSON、CSV格式或表格展示，需配置APIFY_TOKEN，可处理私号、视频不足等边缘情况。

apidojo-io

热度 8.64

最近更新 2026-09-03 04:37:45

分类：数据依赖：代码执行 / 第三方 API / MCP 服务 / 读写文件应用场景：数据处理 / 市场分析 / 报告撰写

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add scraping-tiktok-user-data

Metadata

name: scraping-tiktok-user-data
description: 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.
license: Apache-2.0
metadata: {"author":"apidojo","version":"1.0","apify-actor":"apidojo/tiktok-user-scraper"}

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_TOKEN environment 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_TOKEN must be set in environment or .env file.

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 playCount fields.

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.