https://github.com/miskibin/tiktok-insight

Web app for tiktok creators for analysing tiktok data
https://github.com/miskibin/tiktok-insight

Last synced: 2 months ago
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Web app for tiktok creators for analysing tiktok data

• Host: GitHub
• URL: https://github.com/miskibin/tiktok-insight
• Owner: miskibin
• Created: 2024-02-12T17:49:41.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-02-12T17:58:16.000Z (over 1 year ago)
• Last Synced: 2025-01-23T20:56:52.861Z (4 months ago)
• Language: Python
• Size: 115 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md

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README

        


# TikTok Insight

TikTok Insight is a Django application that provides insights into TikTok video performance.

## Features

- Upload CSV files to compare video performance.

- Analyze total views, likes, comments, shares, and unique viewers.

- Calculate likes to views ratio, comments to views ratio, and shares to views ratio.

- Display most popular country and total territories.

![image](https://github.com/michalskibinski109/tiktok-insight/assets/77834536/b2212885-386a-4fe2-b43e-df22e6c8b598)

![image](https://github.com/michalskibinski109/tiktok-insight/assets/77834536/cd57070a-93d1-4100-b513-561044c43cf1)

![image](https://github.com/michalskibinski109/tiktok-insight/assets/77834536/3dd490b0-55ae-42ca-96a2-5063abe846a0)

![image](https://github.com/michalskibinski109/tiktok-insight/assets/77834536/4133e91f-a827-4a77-bbc7-46c43a84c068)

![image](https://github.com/michalskibinski109/tiktok-insight/assets/77834536/f2b127d2-e1c5-4a03-8ec3-d6a43b682641)

## Installation

1. Clone the repository:

    ```sh

    git clone https://github.com/michalskibinski109/tiktok-insight

    ```

2. Navigate to the project directory:

    ```sh

    cd tiktok_insight

    ```

3. Install the required packages:

    ```sh

    pip install -r requirements.txt

    ```

4. Run the Django server:

    ```sh

    python manage.py runserver

    ```

## Usage

1. Navigate to the home page and upload your CSV files.

2. Click on the 'Analyze' button to view the insights.

## Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.