Twitter Scraper Webapp for Data Analysis

Project information

Scrape Twitter from any user profile on the social platform, and collect data such as tweets, URLs, date and time of tweets, and usernames. Filter your search by typing in a twitter keyword, hashtag, or the username. Run the scraper and download your data in CSV format. Leverage the twitter scraper to get a leg up on whatever is trending, and keep track of user sentiment. It is a useful tool to collect data and take note of emerging trends.

CSS Framework: Bulma

Database: SQLite

Backend Language: Python

Backend Framework: Flask

Hosting: Wayscript

Source Code: Github Link