tt-dumper is a lightning-fast, multi-threaded CLI tool written in Python to extract video metadata and scrape comments from TikTok videos without requiring a login or session token !.

Scraped ~12,000 comments in just 7.5 seconds!

bud1mu@bud1mu:~/cyberspace/tt-dumper$ python tt-dumper.py --url https://www.tiktok.com/@officialinews/video/7606237981698952449 -f json -o hasil.json
  __  __         __                       
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/ __/ __/___/ _  / // /  ' \/ _ \/ -_) __/
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                         @bud1mu 

  [*] Fetching metadata...
  ____________________________________________________________
  :: URL        : https://tiktok.com/@officialinews/video/7606237981698952449
  :: Author     : detik.com (@detikcom)
  :: Likes      : 219600
  :: Comments   : 14100 (Total Available)
  :: Posted     : 2026-01-31 06:10:51
  ____________________________________________________________

  [+] Starting multithreaded dump for approx 14100 comments...
  [+] Progress: 12229 comments retrieved... (100.0%)
  [+] Done! Extracted 12229 comments in 7.51 seconds.

• ⚡ Multi-threaded Scraping: Fetches multiple comment batches simultaneously for maximum speed.
• 📊 Comprehensive Metadata: Extracts video stats (Views, Likes, Comments, Shares), Author info, and Upload Date.
• 📂 Multiple Formats: Supports exporting data to JSON, CSV, or TXT.
• 🛡️ Robust & Safe: Includes error handling, session management, and retries to prevent crashes during extraction.
• 🔓 No Login Required: Works with public video URLs.

• Python3

1. Clone the repository:

   git clone https://github.com/bud1mu/tt-dumper.git
   cd tt-dumper

2. Install dependencies:

   pip install -r requirements.txt

Run the script using Python. The only required argument is -u (URL).

Extract comments to a text file named output.txt.

python tt-dumper.py -u "https://www.tiktok.com/@user/video/1234567890"

Best for developers who want to parse the data later.

python tt-dumper.py -u "https://www.tiktok.com/@user/video/1234567890" -f json -o result.json

Best for data analysis (Excel, Google Sheets).

python tt-dumper.py -u "https://www.tiktok.com/@user/video/1234567890" -f csv -o data.csv

Only fetch the first 100 comments (useful for testing).

python tt-dumper.py -u "https://www.tiktok.com/@user/video/1234567890" -c 100

If you choose -f json, the output will look like this:

{
    "metadata": {
        "id": "740...",
        "desc": "Video Description here...",
        "createTime": "2024-02-17 10:00:00",
        "author_id": "unique_id",
        "author_name": "Nickname",
        "stats": {
            "likes": 15000,
            "comments": 300,
            "shares": 500,
            "views": 200000
        },
        "duration": "0:00:59"
    },
    "comments_count": 300,
    "comments": [
        {
            "username": "user123",
            "comment": "This is an amazing video!"
        },
        {
            "username": "fan_account",
            "comment": "First comment!"
        }
    ]
}