mirror of https://github.com/pikami/tiktok-dl.git
e9715c0d40 | ||
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.github/workflows | ||
.sonar | ||
client | ||
generator | ||
models | ||
resources | ||
unitTestUtil | ||
utils | ||
workflows | ||
.gitignore | ||
LICENSE | ||
README.md | ||
go.mod | ||
go.sum | ||
main.go | ||
package-lock.json | ||
package.json | ||
scraper.js |
README.md
TikTok-DL
A simple tiktok video downloader written in go
- This tool is not working currenly, I will revive it in the future when I have some free time
Basic usage examples
Download the executable from https://github.com/pikami/tiktok-dl/releases
You can download all videos from user by running ./tiktok-dl TIKTOK_USERNAME
You can download single video by running ./tiktok-dl VIDEO_URL
You can download items listed in a text file by running ./tiktok-dl -batch-file path/to/items.txt
Usage Manual
Usage: tiktok-dl [OPTION]... TARGET
or: tiktok-dl [OPTION]... -batch-file BATCH_FILE
In the 1st form, download given `TARGET`.
In the 2nd form, download all targets listed in given `BATCH_FILE`.
Available options
-archive
- Download only videos not listed in the archive file. Record the IDs of all downloaded videos in it.-batch-file some_file
- File containing URLs/Usernames to download, one value per line. Lines starting with '#', are considered as comments and ignored.-deadline
- Sets the timout for scraper logic in seconds (used as a workaround for context deadline exceeded error) (default 1500)-debug
- enables debug mode-fail-log some_file
- Write failed items to log file-json
- Returns whole data, that was scraped from TikTok, in json-limit
- Sets the max count of video that will be downloaded (default infinity)-metadata
- Write video metadata to a .json file-output some_directory
- Output path (default "./downloads")-quiet
- Suppress output
Build instructions
- Clone this repository
- Run
go build
to build the executable.
Acknowledgments
This software uses the chromedp for web scraping, it can be found here: https://github.com/chromedp/chromedp
For releases the JS code is minified by using terser toolkit, it can be found here: https://github.com/terser/terser