TikTok Video Scraper

Overview

The TikTok Video Scraper extracts public data from TikTok videos at scale. It's useful for tracking trends, collecting influencer statistics, or performing sentiment analysis. The tool works without requiring login credentials and is available as a hosted Apify actor or through code-first solutions like Python scripts and GitHub repositories.

Key Features

• Scrapes data from individual video URLs or bulk lists.
• Extracts comprehensive metadata including:
  • Video URL and publication timestamp
  • Author information (name, username, avatar, bio)
  • Engagement stats (plays, likes, comments, shares)
  • Video captions and hashtags
  • Music metadata
  • Video status (e.g., paid promotion)
• Optionally scrapes video comments.
• Exports data to CSV, JSON, Excel, XML, or HTML.
• Supports large-scale operations with pagination and proxy support.
• Offers a lightweight metadata-only mode.
• Integrates with platforms like Zapier, Slack, and Google Drive.

How to Use

Using the Apify Actor

1. Sign Up: Create an account on Apify.
2. Open the Actor: Locate the TikTok Video Scraper in the Apify console.
3. Configure Input: Provide one or more TikTok video URLs in the input field. You can use a JSON array for bulk processing. Configure optional settings like comment limits or metadata-only mode.
4. Run: Start the actor. It will process each video URL.
5. Export: Once complete, download your dataset in your preferred format.

Using a Python Script (GitHub)

If using a script from a repository like TikTok Video Scraper GitHub:
1. Clone the repository.
2. Install dependencies: pip install -r requirements.txt
3. Run the script from your terminal, providing the necessary input (e.g., a list of URLs).

Input/Output

Example Input

Configure the actor with a JSON input object:

{
  "max_comments": 10,
  "urls": [
    "https://www.tiktok.com/@username/video/123456789"
  ]
}

Example Output

The scraper returns an array of video objects in JSON format. Each object contains the extracted fields:

[
  {
    "authorMeta.avatar": "https://example.com/avatar.jpg",
    "authorMeta.name": "username",
    "text": "Video caption text here",
    "diggCount": 883800,
    "shareCount": 114800,
    "playCount": 16900000,
    "commentCount": 58800,
    "videoMeta.duration": 39,
    "musicMeta.musicName": "Song Title"
  }
]