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https://github.com/kaludii/instagram-insights

Instagram Insights is a Streamlit application that allows you to analyze and visualize your Instagram data like users not following you back, users you aren't following back, and more.
https://github.com/kaludii/instagram-insights

analysis followers insights insta instagram instagram-data instagram-insight not-following-back streamlit unfollow unfollowers

Last synced: 22 days ago
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Instagram Insights is a Streamlit application that allows you to analyze and visualize your Instagram data like users not following you back, users you aren't following back, and more.

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# Instagram Insights

Instagram Insights is a Streamlit application that allows you to analyze and visualize your Instagram data like users not following you back, users you aren't following back, and more.

# Web App
Click [Here](https://huggingface.co/spaces/Kaludi/Instagram-Insights-Streamlit_App "Here") To View This App Online!

![image](https://user-images.githubusercontent.com/63890666/227370342-1528acdc-5fdc-4ef9-a3a3-8e0dd3d1677d.png)

## Features

- Visualize insights from your Instagram data like followers, following, follow requests, and more.
- Filter and download the data for further analysis.
- Easy to use interface.

## Usage

1. Download your Instagram data by going to More > Your Activity > Download Your Information, and clicking on 'Request Download'. Make sure you download the data as a JSON file.

2. When the data is emailed to you, upload all the files in the `followers_and_following`, which is in part 4 of the download folders, and upload the folder to the app.

3. Use the filters in the sidebar to view and analyze different aspects of your Instagram data.

4. Download the filtered data as CSV files for further analysis.

## Getting Started

### Prerequisites

- Python 3.7 or higher
- Streamlit
- Pandas
- Plotly

To install the required libraries, run the following command:

`pip install streamlit pandas plotly`

### How to Run

1. Clone this repository.

`git clone https://github.com/Kaludii/Instagram-Insights.git`

2. Navigate to the project directory.

`cd Instagram-Insights`

3. Run the Streamlit app.

`streamlit run app.py`

4. Open your web browser and visit `http://localhost:8501`.