  Retrieving information from social networks is the first and primordial step
many data analysis fields such as Natural Language Processing, Sentiment
Analysis and Machine Learning. Important data science tasks relay on historical
data gathering for further predictive results. Most of the recent works use
Twitter API, a public platform for collecting public streams of information,
which allows querying chronological tweets for no more than three weeks old. In
this paper, we present a new methodology for collecting historical tweets
within any date range using web scraping techniques bypassing for Twitter API
restrictions.
