A Selenium-based automated TikTok video uploader
A perquisite to using this program is the installation of a Selenium-compatible web browser. Google Chrome is recommended.
Install Python 3 or greater from python.org
Install tiktok-uploader
using pip
pip install tiktok-uploader
Installing from source allows greater flexibility to modify the module's code to extend default behavior.
First, clone
and move into the repository. Next, install hatch
, the build tool used for this project 1. Then, build
the project. Finally, install
the project with the -e
or editable flag.
git clone https://github.com/wkaisertexas/tiktok-uploader.git
cd tiktok-uploader
pip install hatch
hatch build
pip install -e .
tiktok-uploader
works by duplicating your browser's cookies which tricks TikTok into believing you are logged in on a remote-controlled browser.
Using the CLI is as simple as calling tiktok-uploader
with your videos: path
(-v), description
(-d) and cookies
(-c)
tiktok-uploader -v video.mp4 -d "this is my escaped \"description\"" -c cookies.txt
from tiktok_uploader.upload import upload_video, upload_videos
from tiktok_uploader.auth import AuthBackend
# single video
upload_video('video.mp4',
description='this is my description',
cookies='cookies.txt')
# Multiple Videos
videos = [
{
'path': 'video.mp4',
'description': 'this is my description'
},
{
'path': 'video2.mp4',
'description': 'this is also my description'
}
]
auth = AuthBackend(cookies='cookies.txt')
upload_videos(videos=videos, auth=auth)
This library revolves around the upload_videos
function which takes in a list of videos which have filenames and descriptions and are passed as follows:
from tiktok_uploader.upload import upload_videos
from tiktok_uploader.auth import AuthBackend
videos = [
{
'video': 'video0.mp4',
'description': 'Video 1 is about ...'
},
{
'video': 'video1.mp4',
'description': 'Video 2 is about ...'
}
]
auth = AuthBackend(cookies='cookies.txt')
failed_videos = upload_videos(videos=videos, auth=auth)
for video in failed_videos: # each input video object which failed
print(f'{video['video']} with description "{video['description']}" failed')
Mentions and Hashtags now work so long as they are followed by a space. However, you as the user are responsible for verifying a mention or hashtag exists before posting
Example:
from tiktok_uploader.upload import upload_video
upload_video('video.mp4', '#fyp @icespicee', 'cookies.txt')
To set whether or not a video uploaded allows stitches, comments or duet, simply specify comment
, stitch
and/or duet
as keyword arguments to upload_video
or upload_videos
.
upload_video(..., comment=True, stitch=True, duet=True)
Comments, Stitches and Duets are allowed by default
To set a proxy, currently only works with chrome as the browser, allow user:pass auth.
# proxy = {'user': 'myuser', 'pass': 'mypass', 'host': '111.111.111', 'port': '99'} # user:pass
proxy = {'host': '111.111.111', 'port': '99'}
upload_video(..., proxy=proxy)
The datetime to schedule the video will be treated with the UTC timezone.
The scheduled datetime must be at least 20 minutes in the future and a maximum of 10 days.
import datetime
schedule = datetime.datetime(2020, 12, 20, 13, 00)
upload_video(..., schedule=schedule)
Authentication uses your browser's cookies. This workaround was done due to TikTok's stricter stance on authentication by a Selenium-controlled browser.
Your sessionid
is all that is required for authentication and can be passed as an argument to nearly any function
🍪 Get cookies.txt makes getting cookies in a NetScape cookies format.
After installing, open the extensions menu on TikTok.com and click 🍪 Get cookies.txt
to reveal your cookies. Select Export As ⇩
and specify a location and name to save.
Optionally, cookies_list
is a list of dictionaries with keys name
, value
, domain
, path
and expiry
which allow you to pass your own browser cookies.
Example:
cookies_list = [
{
'name': 'sessionid',
'value': '**your session id**',
'domain': 'https://tiktok.com',
'path': '/',
'expiry': '10/8/2023, 12:18:58 PM'
}
]
upload_video(..., cookies_list=cookies_list)
Google Chrome is the preferred browser for TikTokUploader. The default anti-detection techniques used in this packaged are optimized for this. However, if you wish to use a different browser you may specify the browser
in upload_video
or upload_videos
.
from tiktok_uploader.upload import upload_video
from random import choice
BROWSERS = [
'chrome',
'safari',
'chromium',
'edge',
'firefox'
]
# randomly picks a web browser
upload_video(..., browser=choice(BROWSERS))
✅ Supported Browsers:
- Chrome (Recommended)
- Safari
- Chromium
- Edge
- FireFox
Default modifications to Selenium are applied which help it avoid being detected by TikTok.
However, you may pass a custom driver configuration options. Simply pass options
as a keyword argument to either upload_video
or upload_videos
.
from selenium.webdriver.chrome.options import Options
options = Options()
options.add_argument('start-maximized')
upload_videos(..., options=options)
Note: Make sure to use the right selenium options for your browser
Headless browsing only works on Chrome. When using Chrome, adding the --headless
flag using the CLI or passing headless
as a keyword argument to upload_video
or upload_videos
is all that is required.
upload_video(..., headless=True)
upload_videos(..., headless=True)
WebDriverManager is used to manage driver versions.
On initial startup, you may be prompted to install the correct driver for your selected browser. However, for Chrome and Edge the driver is automatically installed.
-
Basic Upload Example: Uses
upload_video
to make one post. -
Multiple Videos At Once: Uploads the same video multiple times using
upload_videos
. -
Series Upload Example: Videos are read from a CSV file using Pandas. A video upload attempt is made and if and only if it is successful will the video be marked as uploaded.
This bot is not fool proof. Though I have not gotten an official ban, the video will fail to upload after too many uploads. In testing, waiting several hours was sufficient to fix this problem. For this reason, please thing of this more as a scheduled uploader for TikTok videos, rather than a spam bot.
- @C_Span - A split-screen channel with mobile games below featuring clips from C-Span's YouTube channel
- @habit_track - A Reddit bot to see which SubReddit is most viral on TikTok