https://github.com/victowang/facebookMessengerParser

Python scripts to parse and explore data from your messenger conversations
https://github.com/victowang/facebookMessengerParser

Last synced: about 2 months ago
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Python scripts to parse and explore data from your messenger conversations

• Host: GitHub
• URL: https://github.com/victowang/facebookMessengerParser
• Owner: victowang
• Created: 2020-01-28T22:09:11.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2022-06-22T00:56:53.000Z (over 2 years ago)
• Last Synced: 2024-07-27T05:38:39.039Z (about 2 months ago)
• Language: Python
• Size: 9.77 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: readme.md

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README

        
# Parser for Facebook messenger

## Why ?

Explore your messenger data, you might find some fun or interesting insight about your friends who are in the same conversation.

#### Examples :  

* Who uses the most reactions

* Who receives the most reactions

## What can this parser do ?

#### Data :

* Find out how many message reactions each user has received

* Find out how many message readctions each user has sent

#### Scope :  

* A single HTML file

* All the html files in a directory

## How to get your data ?  

You can download your Facebook messenger data in your [personal information](https://www.facebook.com/settings?tab=your_facebook_information) as html files.  

Note : Be careful with the downloaded data as it may contain sensitive information concerning you or your contacts

## Get the number of reactions for each user in the conversation

#### Example :

from messengerParser import *  


path = "data/facebook-your_username/messages/inbox/conversation_name/"   # Path to the directory where your html files are  

result = getReceivedReactionsFromDir(path)  # Get dataframe with data about received reactions

print(result.to_string())                                                 # Print result in the console  

result.to_csv(r'receivedReactions.csv')                                 # Write results to csv 

## Display the data with Dash  

* Bar charts of sent and received reactions

* Radar charts representing each user

##### In project root run :

python dashApp/app.py  

##### with your browser go to :  

http://127.0.0.1:8050/

## Notes

It would probably be more efficient code the same process with data from facebook imported as JSON.