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