TikTok Scraper Actor

An Apify actor that scrapes TikTok data using session cookies and network interception. No DOM parsing required — data is captured directly from TikTok's internal API.

Features

• Network Interception: Captures responses from TikTok's API endpoints without parsing HTML
• Session Cookie Support: Accepts cookies in multiple formats (raw header, JSON array, Netscape cookies.txt)
• Multiple Modes: Search, hashtag, and profile scraping
• Efficient Resource Usage: Blocks heavy resources (images, media, fonts) while keeping CSS for proper scroll behavior
• Anti-Bot Handling: Captcha detection, exponential backoff, and session rotation
• Deduplication: Automatic deduplication by item ID
• Flexible Output: Compat (Threads-style), native (full TikTok data), or both

Input

Field	Type	Default	Description
mode	string	search	Scraping mode: search, hashtag, or profile
queries	array	[]	List of search queries, hashtags (#), or usernames (@)
maxItems	integer	200	Maximum items per query
sessionCookies	string	""	Session cookies (raw header, JSON, or cookies.txt)
cookiePool	array	[]	Multiple cookie sets for rotation
sortBy	string	relevance	Sort order: relevance or latest
publishedWithin	string	all	Server-side time filter: all, 1d, 7d, 30d, 90d, 180d
dateFrom	string	""	Keep posts published on/after this date (YYYY-MM-DD or ISO datetime). Client-side, all modes
dateTo	string	""	Keep posts published on/before this date (inclusive). Client-side, all modes
includeComments	boolean	false	Whether to scrape comments
commentsPerPost	integer	20	Max comments per video
downloadMedia	boolean	false	Download media to KV store
outputSchema	string	compat	Output format: compat, native, or both

Cookie Format

Cookies can be provided in any of these formats:

1. Raw Cookie header (copy from browser DevTools):

   sessionid=abc123; sessionid_ss=abc123; sid_tt=xyz789; sid_guard=xyz789; msToken=...
   

2. JSON array (EditThisCookie/Playwright format):

   [{"name": "sessionid", "value": "abc123", "domain": ".tiktok.com"}, ...]
   

3. Netscape cookies.txt:

   # Netscape HTTP Cookie File
   .tiktok.com	TRUE	/	TRUE	1234567890	sessionid	abc123
   

Required Cookies

At minimum, these cookies must be present:

• sessionid
• sessionid_ss
• sid_tt
• sid_guard

Additional cookies that improve results:

• ttwid, msToken, tt-target-idc, uid_tt

Output Schema

Each item in the dataset includes:

{
  "post_id": "7123456789012345678",
  "shortcode": "7123456789012345678",
  "post_url": "https://www.tiktok.com/@username/video/7123456789012345678",
  "text": "Video caption text...",
  "timestamp": "2024-01-15T10:30:00.000Z",
  "user": {
    "user_id": "1234567890",
    "username": "username",
    "full_name": "Display Name",
    "profile_url": "https://www.tiktok.com/@username",
    "profile_pic_url": "https://p16-sign.tiktokcdn.com/...",
    "is_verified": true,
    "follower_count": 100000
  },
  "likes": 50000,
  "replies": 1200,
  "reposts": 500,
  "quotes": null,
  "reshares": 3000,
  "views": 500000,
  "images": [],
  "videos": [{"url": "https://v16-webapp.tiktok.com/...", "duration": 30}],
  "is_reply": false,
  "source": "api",
  "hashtags": [{"id": "123", "name": "fyp"}],
  "mentions": [],
  "music": {"id": "123", "title": "Original Sound", "author": "Creator", "is_original": true},
  "video_duration": 30,
  "video_width": 1080,
  "video_height": 1920,
  "is_ad": false,
  "region": "US",
  "engagement_rate": 10.5
}

Usage

On Apify Platform

1. Create a new actor on Apify Console
2. Set the build to use the Dockerfile
3. Configure input:

   {
     "mode": "search",
     "queries": ["SamsungGalaxyS25Ultra"],
     "maxItems": 100,
     "sessionCookies": "sessionid=...; sessionid_ss=...; sid_tt=...; sid_guard=..."
   }
   

Locally

# Install dependencies
npm install

# Run with input
npm start -- --input '{"queries":["fyp"],"sessionCookies":"..."}'

With Apify CLI

apify login
apify create tiktok-scraper --template project_empty
# Copy files to the new project
cd tiktok-scraper
apify run

Architecture

src/
  main.js              # Actor entry point, input validation, crawler setup
  cookies.js           # Cookie parsing/normalization/validation
  intercept.js         # Network response interception + endpoint routing
  paginate.js          # Scroll-based pagination with stall detection
  antibot.js           # Captcha detection, backoff, session rotation
  normalize/
    shared.js          # Shared video item normalization
    searchItem.js      # Search endpoint normalizers
    challengeItem.js   # Hashtag/challenge normalizer
    comment.js         # Comment normalizer

How It Works

1. Browser Launch: Playwright launches a headless Chrome instance
2. Cookie Injection: Session cookies are injected into the browser context
3. Resource Blocking: Heavy resources (images, media, fonts) are blocked to reduce bandwidth
4. Navigation: The page navigates to TikTok search/hashtag/profile URL
5. Network Interception: Responses from TikTok API endpoints are intercepted
6. Scroll Pagination: The page scrolls to trigger infinite scroll, loading more results
7. Normalization: Raw API responses are normalized to the output schema
8. Dataset Output: Items are pushed to the Apify dataset

Known Limitations

• Search depth: ~300-450 items max per query due to TikTok's internal limits
• Media URLs: Video URLs expire in ~2 hours; download during the run if needed
• Personalization: Results are personalized per account (logged-in vs anonymous differ)
• Account risk: Heavy scraping may rate-limit or ban the account; use throwaway accounts

Cost Optimization

• Resource blocking reduces bandwidth by ~90%
• Network interception avoids DOM parsing overhead
• Session rotation distributes load across multiple accounts
• Configurable max items and pagination limits

License

ISC