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https://github.com/lawolf8/sludge-content-automation
Social media is now overwhelmingly popular, most humans spend hours a day on various platforms. This repo provides a large techstack to profit off social media, providing content creating, content posting, analytics, and optimization.
https://github.com/lawolf8/sludge-content-automation
analytics-tracking api database-management gui hastags machine-learning python sludge socialmediaanalytics ssms tiktok tkinter virustotal virustotal-api youtube youtube-api
Last synced: about 1 month ago
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Social media is now overwhelmingly popular, most humans spend hours a day on various platforms. This repo provides a large techstack to profit off social media, providing content creating, content posting, analytics, and optimization.
- Host: GitHub
- URL: https://github.com/lawolf8/sludge-content-automation
- Owner: lawolf8
- License: gpl-3.0
- Created: 2024-08-03T03:59:13.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2024-08-29T21:29:17.000Z (4 months ago)
- Last Synced: 2024-08-30T22:50:03.078Z (4 months ago)
- Topics: analytics-tracking, api, database-management, gui, hastags, machine-learning, python, sludge, socialmediaanalytics, ssms, tiktok, tkinter, virustotal, virustotal-api, youtube, youtube-api
- Language: Python
- Homepage:
- Size: 47.9 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
Sludge-Content-Automation
## About The Project
WORK IN PROCESS | ESTIMATED COMPLETION DATE: 09/08/2024
This project is made with Python 3 and is comprised of 5 aspects.
1. Youtube: This will utilize google APIs, VirusTotal API, and some OS libraries (such as moviepy) to download youtube videos, store metrics, check the downloaded file for viruses, stack videos, and log the videos metrics from Youtube.
2. TikTok: Utilizing the TikTok Desktop App, can upload (and schedule upload) and log metrics from TikTok videos using OS libraries (since you cannot use TikTok's APIs unless you have an app)
3. Database: With the metrics gathered from Youtube and Tiktok, this will all be stored in a database within various tables to be used to determine the best content (which videos get the most views, what hastags have the most traction, etc.
4. Machine Learning: Uses the data collected from views of videos to determine rising hashtag popularity, optimal content, and more to maximize views per post.
5. GUI: User Interface as a dashboard to view metrics, data analytics, and encourage decision making on their social media platforms
## Getting Started
To get started you need to have python3 installed. If it is not the case you can download it here : https://www.python.org/downloads/
### Installation
Make sure you've already git installed. Then you can run the following commands to get the scripts on your computer:
```sh
git clone https://github.com/lawolf8/sludge-content-automation
cd sludge-content-automation
```
The script only requires the `requests` module, you can install it with this command:
```sh
pip install -r requirements.txt
```
## Usage
### Import in your script
You can copy the file `Tiktok_uploader.py` in your project folder and use it like this:
```python
from Tiktok_uploader import uploadVideo
session_id = "7a9f3c5d8f6e4b2a1c9d8e7f6a5b4c3d"
file = "my_video.mp4"
title = "MY SUPER TITLE"
tags = ["Funny", "Joke", "fyp"]
schedule_time = 1672592400
# Publish the video
uploadVideo(session_id, file, title, tags, verbose=True)
# Schedule the video
uploadVideo(session_id, file, title, tags, schedule_time, verbose=True)
```
- `session_id`: Your TikTok *sessionid* cookie.
- `file`: The path to the video you want to upload.
- `title`: The title of your publication (without hashtags).
- `tags`: The list of hashtags you want to add to your post (without `#` symbol). May be empty list `[]`.
- `schedule_time`: The timestamp (in seconds) at which you want to schedule your video.
**Note that you cannot schedule a video more than 10 days in advance.**
**Note that your TikTok *sessionid* cookie needs to be updated every 2 months.**
### With the command line
```
usage: Tiktok_uploader.py [-h] -i SESSION_ID -p PATH -t TITLE [--tags [TAGS ...]] [-s SCHEDULE_TIME]
options:
-h, --help show this help message and exit
-i SESSION_ID, --session_id SESSION_ID
Tiktok sessionid cookie
-p PATH, --path PATH Path to video file
-t TITLE, --title TITLE
Title of the video
--tags [TAGS ...] List of hashtags for the video
-s SCHEDULE_TIME, --schedule_time SCHEDULE_TIME
schedule timestamp for video upload
```
The `session_id`, `path` and `title` fields are required.