I continue being curious about OSINT, and I found this project named Open-source Twitter Intelligence in GIT Hub .
It’s a set of code that do scraping on Twitter without using Twitter’s API, allowing you to scrape a user’s followers, following, Tweets and more.
Apparently Twitter’s API has some limits and this approach avoid them.
It’s written in Perl, so I cloned with PyCharm, I uploaded some libraries and I created a test.py file that enabled me to test it:
import twint c = twint.Config() c.Username = "joa_pen" c.Custom["tweet"] = ["id"] c.Custom["user"] = ["bio"] c.Limit = 10 c.Store_csv = True c.Output = "none" twint.run.Search(c)