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https://github.com/ammaar-alam/instagram-checker

Web application to analyze Instagram followers and following data, identifying non-mutual connections using a C-based analyzer hosted on Heroku.
https://github.com/ammaar-alam/instagram-checker

c heroku instagram instagram-follower json python webapp

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Web application to analyze Instagram followers and following data, identifying non-mutual connections using a C-based analyzer hosted on Heroku.

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# Instagram Follower Analyzer

## Description

Instagram Follower Analyzer is a web application that allows users to download their Instagram followers and following data as JSON files and analyze them to identify:

- **Users who do not follow you back**
- **Accounts you do not follow back**

The analysis is performed using a C program hosted on Heroku, providing a seamless experience without the need for local installation or compilation.

## Table of Contents

- [Features](#features)
- [Accessing the Web Application](#accessing-the-web-application)
- [Running Locally](#running-locally)
- [Downloading Instagram Data](#downloading-instagram-data)
- [Preparing JSON Files](#preparing-json-files)
- [Contributing](#contributing)
- [License](#license)

## Features

- **Download Followers and Following Data:** Easily obtain your Instagram followers and following information in JSON format.
- **Identify Non-Mutual Connections:** Get clear lists of who doesn't follow you back and whom you don't follow back.
- **Web-Based Analyzer:** Access the tool directly through a web interface without the need for local setup.

## Accessing the Web Application

You can access the Instagram Follower Analyzer directly through the following link:

[Instagram Follower Analyzer on Heroku](https://instagram-checker-b38e2b3eb69a.herokuapp.com/)

This web application allows you to upload your JSON files and view the analysis results online.

## Running Locally

To run the application locally, follow these steps:

1. **Clone the Repository:**

```bash
git clone https://github.com/your-username/instagram-follower-analyzer.git
```

2. **Navigate to the Project Directory:**

```bash
cd instagram-follower-analyzer
```

3. **Install Dependencies:**

Navigate to the client directory and install the necessary npm packages:

```bash
cd client
npm install
```

4. **Start the Client:**

Run the following command to start the client-side application:

```bash
npm start
```

5. **Start the Server:**

If you have a server component, navigate to the server directory and start the server:

```bash
cd ../server
python app.py
```

Ensure that any necessary environment variables are set up for the server to run correctly.

## Downloading Instagram Data

To analyze your Instagram followers and following, you need to download your data from Instagram. Follow these steps:

1. **Open Instagram App:**

Tap the profile icon in the bottom right to go to your profile.

2. **Access More Options:**

Tap the more options icon in the top right, then tap activity controls **Your activity**.

3. **Download Your Information:**

- Under **Information you shared with Instagram**, tap download your information **Download your information**.

- **Request a Download:**
1. Enter your email address where you'd like to receive the download link.
2. Tap **Request a download**.

- **Select Information:**
1. Choose **Select types of information**.
2. Scroll down and select **Followers and following**.

- **Select File Options:**
1. **Format:** JSON
2. **Date Range:** All time

- **Submit Request:**
Tap **Submit request**.

4. **Receive Download Link:**

You'll receive an email titled "Your Instagram Data" with a link to download your data. This might take up to 24 hours.

## Preparing JSON Files

1. **Download the Data:**

Click on the download link in your email and save the ZIP file to your computer.

2. **Extract the ZIP File:**

```bash
unzip your_instagram_data.zip -d instagram_data
```

3. **Locate JSON Files:**

After extraction, navigate to the `instagram_data` directory to find the following JSON files:

- `followers.json`
- `following.json`

These files are required for analysis on the web application.

## Contributing

Contributions are welcome! Please follow these steps:

1. **Fork the Repository.**

2. **Create a New Branch:**

```bash
git checkout -b feature/your-feature-name
```

3. **Commit Your Changes:**

```bash
git commit -m "Add some feature"
```

4. **Push to the Branch:**

```bash
git push origin feature/your-feature-name
```

5. **Open a Pull Request.**

## License

This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.