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sterraxcyl

★ 683 Open GitHub ↗

Instagram OSINT tool to export and analyse followers | following with their details

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<h1 align="center"><b>- S T E R R A -</b></h1>
<h3 align="center">A unique SOCMINT tool to get informations on an instagram account<br>from its following | followers</h4>
<h1 align="center">
    <a href="https://www.instagram.com"><img src="https://img.shields.io/badge/Instagram-inactive?logo=data:image/svg+xml;base64,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"></a>
    <a href="https://github.com/novitae/sterraxcyl"><img src="https://img.shields.io/badge/Sterra-2.2-8787ff"></a>
    <a href="https://en.wikipedia.org/wiki/GNU_General_Public_License"><img src="https://img.shields.io/badge/License-GPL3.0-inactive"></a>
    <a href="https://www.python.org/downloads/"><img src="https://img.shields.io/badge/Python-3.x-00af87"></a>
    <a href="https://github.com/novitae/sterraxcyl/wiki"><img src="https://img.shields.io/badge/🌐-Wiki-inactive"></a>
</h1>

➡️ **Sterra's main function is to export lists of followers | following | mutuals from Instagram to excel | csv | json with informations on accounts**
![](https://i.imgur.com/9N8I7ak.png)
*[National Geographic](https://www.instagram.com/natgeo/) following list under excel format*

➡️ **It can also analyse exported lists to search for personnal account (which means estimating which accounts are in the close circle of your target)**
![](https://i.imgur.com/Vi6Xw6B.png)

<div align="center">
    <table>
        <tr>
            <td><a href="https://www.instagram.com/dregufevia3/">dregufevia3</a></td>
            <td><a href="https://www.instagram.com/rute_alves3/">rute_alves3</a></td>
            <td><a href="https://www.instagram.com/hicham_rt/">hicham_rt</a></td>
            <td><a href="https://www.instagram.com/ricardo.piloto.7/">ricardo.piloto.7</a></td>
            <td><a href="https://www.instagram.com/j_nyusi_258/">j_nyusi_258/</a></td>
        </tr>
        <tr>
            <td><a href="https://www.instagram.com/barbaravara/">barbaravara</a></td>
            <td><a href="https://www.instagram.com/pregufe/">pregufe</a></td>
            <td><a href="https://www.instagram.com/delgad0_andre/">delgad0_andre</a></td>
            <td><a href="https://www.instagram.com/dgh1/">dgh1</a></td>
            <td><a href="https://www.instagram.com/rodrigoptf/">rodrigoptf</a></td>
        </tr>
    </table>
</div>

*Personnal accounts analysis for [Christiano Ronaldo](https://www.instagram.com/cristiano/) following list. All the upper accounts are followed by Ronaldo himself. Data exportable.*

➡️ **Finaly, it can compare two lists in order to find commons or not commons users**
![](https://i.imgur.com/mWpZQn2.png)
*Common usernames between [Kylie Jenner](https://www.instagram.com/kyliejenner/) following list and [Travis Scott](https://www.instagram.com/travisscott/) following list. Data exportable.*
# 📥 Installation
```python
pip install sterra
# or
git clone https://github.com/novitae/sterraxcyl/
cd sterraxcyl
python setup.py install
```
# 🌐 Wiki
| [**Wiki**](https://github.com/novitae/sterraxcyl/wiki) | The home page of the Wiki |
| :---: | :---: |
| [**Basic Usage Wiki**](https://github.com/novitae/sterraxcyl/wiki/Basic-usage) | **The Wiki page to start using Sterra** |

# 📙 More
- This tool have been made as an alternative of the Chrome extension [__export List of Followers from Instagram__](https://chrome-stats.com/d/hcdbfckhdcpepllecbkaaojfgipnpbpb) that has been killed for some ""[reasons](https://s.keepmeme.com/files/en_posts/20201223/delete-this-mark-zuckerberg-holding-gun-meme.jpg)"". It was made to export data on the accounts as sterra's export module does. This is the main inspiration.\
I was using it to do manually the job of sterra's analyse module.
- The export module uses the Instagram GraphQL API to get the lists of usernames. The architecture of it is based on the [__get_instagram_followers-following_list__](https://github.com/francozanardi/get_instagram_followers-following_list/) one.
- My twitter messages are open -> [*meakaaet*](https://twitter.com/meakaaet)
- *Sterra and Sterraxcyl are the same program; Sterraxcyl is the old name, but it was weird afterall, so i changed it as i could to Sterra*

sterraxcyl

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