https://github.com/drbh/imessage-exporter

This project aims to help people better analyze thier messaging application and is a continuation of work done for this article: https://towardsdatascience.com/what-your-imessage-data-says-about-you-daa186db16d
https://github.com/drbh/imessage-exporter

Last synced: about 1 month ago
JSON representation

This project aims to help people better analyze thier messaging application and is a continuation of work done for this article: https://towardsdatascience.com/what-your-imessage-data-says-about-you-daa186db16d

• Host: GitHub
• URL: https://github.com/drbh/imessage-exporter
• Owner: drbh
• Created: 2018-12-18T22:32:25.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2018-12-18T22:37:38.000Z (over 5 years ago)
• Last Synced: 2024-05-01T16:01:03.547Z (about 2 months ago)
• Language: Python
• Size: 4.88 KB
• Stars: 5
• Watchers: 2
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Lists

• project-awesome - drbh/imessage-exporter - This project aims to help people better analyze thier messaging application and is a continuation of work done for this article: https://towardsdatascience.com/what-your-imessage-data-says-about-you-d (Python)

README

        
# Welcome to iMessage Exporter

[![Join the chat at https://gitter.im/imessage-exporter/community](https://badges.gitter.im/imessage-exporter/community.svg)](https://gitter.im/imessage-exporter/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)

Esstentailly this project takes a MacBook iMessage sqlite db, pulls all of your converstations, and pushes it to a JSON file into a secure S3 bucket.

This way a user can access a snapshot of thier chat data from a cloud location they control.

The next script pulls this data (not from the cloud but a local copy) and makes a frequency table of the emojies in the convo from a specified point in time.

You need to set AWS creds in as env vars with permissions to create a new bucket and write to S3

```

export AWS_ACCESS_KEY_ID=- - - YOUR KEY HERE - - -

export AWS_SECRET_ACCESS_KEY=- - - YOUR KEY HERE - - -  

```

clone the repo and navigate to the folder   

```

python run.py. 

```