Twitter parser for chats and profiles
This Twitter parser is written in Python and operates based on the asynchronous library Playwright, with integration of AdsPower to support multi-accounts. The graphical interface is implemented through PyQt6.
Parser functionality:
Parsing main chats and chats in requests;
Collecting the last n messages;
Obtaining data about the message author (number of followers, other statistics);
Profile parsing:
Getting the latest posts;
Collecting statistics for each post (likes, reposts, date, etc.);
Gathering overall profile information.
Saving results:
In JSON format;
Ability to export directly to Google Drive via API.
Launch:
Currently, launch is carried out through a .bat file (Windows).
Parser functionality:
Parsing main chats and chats in requests;
Collecting the last n messages;
Obtaining data about the message author (number of followers, other statistics);
Profile parsing:
Getting the latest posts;
Collecting statistics for each post (likes, reposts, date, etc.);
Gathering overall profile information.
Saving results:
In JSON format;
Ability to export directly to Google Drive via API.
Launch:
Currently, launch is carried out through a .bat file (Windows).