scraping-tiktok-profile-data

通过 Apify 的 TikTok Profile 抓取器，批量获取账号用户名、粉丝数、关注数、获赞总数、视频数、简介等信息，并支持表格、CSV 或 JSON 输出，用于达人筛选、数据补全和受众分析。

apidojo-io

热度 7.64

最近更新 2026-09-03 04:36:46

分类：搜索依赖：代码执行 / 第三方 API / MCP 服务 / 读写文件应用场景：社交媒体 / 市场分析 / 研究 / 数据处理

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-profile-data

Metadata

name: scraping-tiktok-profile-data
description: Scrapes TikTok profile statistics and metadata for any list of accounts using apidojo's TikTok Profile scraper on Apify. Triggers when the user asks to: get TikTok profile stats for an account, fetch follower count and engagement data for TikTok users, scrape TikTok account metadata in bulk, export TikTok profile information for a list of creators, check TikTok stats for multiple usernames, or get bio and follower data from TikTok profiles. Returns username, follower count, following count, total likes, video count, and bio. Ideal for influencer vetting, data enrichment, and audience analysis.
license: Apache-2.0
metadata: {"author":"apidojo","version":"1.0","apify-actor":"apidojo/tiktok-profile-scraper"}

Scraping TikTok Profile Data

Bulk account-level statistics for any set of TikTok usernames. Returns follower counts, engagement totals, bio, and video count.

Prerequisites

APIFY_TOKEN environment variable set
Optional: Apify MCP server installed

Inputs

Parameter	Type	Required	Default	Notes
`startUrls`	array	Optional	`[]`	TikTok profile URLs
`usernames`	array	Optional	`[]`	TikTok usernames (without @)
`since`	string	Optional	—	Return posts after this date (YYYY-MM-DD)
`until`	string	Optional	—	Return posts before this date (YYYY-MM-DD)
`maxItems`	number	Optional	Unlimited	Maximum posts to return
`customMapFunction`	string	Optional	—	JavaScript function to transform each output object

Workflow

Progress:
- [ ] Step 1: Normalize username list
- [ ] Step 2: Run tiktok-profile-scraper
- [ ] Step 3: Poll for SUCCEEDED
- [ ] Step 4: Deliver profile 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-profile-scraper" \
  --input '{"param": "value"}'

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

# Save as JSON
node scripts/run_actor.js \
  --actor "apidojo~tiktok-profile-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-profile-scraper"
Input:
{
  "usernames": ["creator1", "creator2"]
}

REST API fallback:

curl -X POST \
  "https://api.apify.com/v2/acts/apidojo~tiktok-profile-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"usernames": ["creator1", "creator2"]}'

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

Account not found: Username banned, deleted, or changed. Flag in output.
Private account: Returns 0 video count with profile metadata — mark isPrivate: true.
Batch > 500: Split into smaller batches for reliability.

Output Format

# TikTok Profile Dataset
Accounts requested: N | Returned: N | Not found: N

| Username | Followers | Following | Total Likes | Videos | Bio (truncated) | Verified |
|----------|-----------|-----------|-------------|--------|-----------------|----------|
| ...      | ...       | ...       | ...         | ...    | ...             | ...      |

Available fields: username, nickname, followerCount, followingCount, heartCount,
videoCount, signature, verified, bioLink, avatarUrl

Troubleshooting

Missing accounts: Username may have changed — verify on TikTok directly. Stale follower counts: TikTok data may lag 24–48 hours; re-run for fresh data.