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Whatsapp-web-conversation-back-up

Project Description

This project uses Python and Selenium to automate WhatsApp web. The script can be used to extract data from the user's WhatsApp account, such as chat logs, message timestamps, and other metadata.

The script first loads the WhatsApp web app and waits for all the conversations to load. It then reads the messages that are currently on the screen and prints them. The user can also specify the conversation type (group or individual) and get the count of conversations.

The script also allows the user to scroll to the last element of the conversations and extract the message divs. It then filters the divs to only get the text messages and extracts data from the messages, such as message content, date and time, conversation type, group title, sender and receiver names, and sender and receiver phone numbers.

The extracted data is then stored in a CSV file for further analysis. The user can also specify the location and name of the CSV file to be generated.

Important notes

  • this project only works on chrome
  • this project only handle and collects text data
  • when running the project the google chrome app should be closed
  • scraping through all the conversation might take a large amount of time
  • this project assumes that you are logged in into your whasapp in chrome

Things you might need to change

(all of these variables are stacked in the beginning of the script)

CSV file structure

  • if the sender is the current user then there is no need to fill "sender" , "sender number" field
  • if the receiver is current user then there is no need to fill "receiver" , "receiver number" field
  • in a group the receiver info fields are always empty

How CSV file looks looks like

Message Date Time Conversation Type Group Title Sender Receiver Sender Number Receiver Number
"Hi, how are you?" 1/1/2022 12:30 personal John Doe 1234567890
Can you send me that file? 1/2/2022 10:15 personal Jane Smith 1987654321
Meeting postponed to next week 1/3/2022 14:00 group Marketing Team
"OK, thanks for letting us know" 1/3/2022 14:05 group Marketing Team Jane Smith 1987654321
I won't be able to attend the meeting 1/4/2022 9:30 group Marketing Team
Is there anything we can do to help? 1/4/2022 9:35 group Marketing Team Jane Smith 1987654321
"Don't worry, I'll catch up with you later" 1/5/2022 17:00 personal Jane Smith 1987654321
Can you pick up some milk on your way home? 1/6/2022 8:45 personal Jane Smith 1987654321
Here's the report you asked for 1/7/2022 11:00 personal Jane Smith 1987654321
"Thanks, I'll take a look at it now" 1/7/2022 11:05 personal Jane Smith 1987654321
Reminder: meeting tomorrow at 10am 1/8/2022 16:00 group Marketing Team
Thanks for reminding us! 1/8/2022 16:05 group Marketing Team Jane Smith 1987654321
Who's bringing the coffee? 1/9/2022 9:00 group Marketing Team
I can pick it up on my way to work 1/9/2022 9:05 group Marketing Team Jane Smith 1987654321
"Hello everyone, welcome to the group!" 1/10/2022 10:00 group Marketing Team

About

this project combines web scarping and automation to launch WhatsApp web application and scrape through all the conversation and back them is csv file format

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