There are 3 repositories under twint topic.
An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.
SocialPwned is an OSINT tool that allows to get the emails, from a target, published in social networks such as Instagram, Linkedin and Twitter to find possible credentials leaks in PwnDB or Dehashed and obtain Google account information via GHunt.
Advanced python library to scrap Twitter (tweets, users) from unofficial API
Python tool that automates the process of Twitter OSiNT investigation using twint.
Your Advanced Twitter stalking tool
Follow tweets of your favourite people on internet without any noise.
TWINT Graph Visualizer
Twitter Troll & Fake News Hunter - Crawls news websites and twitter to identify fake news
Explore tweets gathered with Twint with faceted search
Collection of scripts for The TWINT project
Instainfo is a OSINT tool on Instagram Made in Python. It offers an interactive shell to perform analysis on Instagram account of any users by its nickname it provides alot of functionalities
create word clouds with wrodcloud-fa for twitter and telegram chat
Verify Tweet from Image
downloads photos and videos from twitter
twitterUsernameviaUserID is an advanced Twitter scraping tool written in Python and Selenium that allows for scraping tweet usernames from the twitter id's, without using Twitter's API.
TWINT Flask-Celery Server. Optimized tweets scraping
:bank: :key: Simple Dapp for sending & requesting Ether
Documentation & Samples to support polyright payment with Payment Terminal from URI Scheme.
A Twitter client to parallelize requests across multiple API keys
More practical use of Twint with ES and Kibana.
Identify the counts of hashtags and mentioned accounts and display it as graph and wordcloud
A scraping tool based on tweepy module
Downloaded tweets from the most popular news agencies and extract keywords from them. In the next steps, I plotted a word cloud and did a sentiment analysis for tweets that have the keywords.
Scrape Twitter data with Twint and apply cool mask for obtaining awesome word clouds
Performing sentiment analysis on tweets to recognize depression in tweets using NLP methods
GUI for analyzing tweet sentiment, toxicity and emotion.