Today, data is scattered everywhere in the world. Especially in social media, there may be a big quantity of data on Facebook, Instagram, Youtube, Twitter, etc. This consists of pictures and films on Youtube and Instagram as compared to Facebook and Twitter. To get the real facts on Twitter, you want to scrape the data from Twitter. You Need to Scrape the data like (date, id, url, tweet content, user,reply count, retweet count,language, source, like count etc) from twitter.

1. This repository consists the file required to create Twitter Scrapper Application
2. The "main.py" file consists of major code required to develop the applcation. Pycharm IDE is recommended.
3. The "lottie.py" file has code required for animation of image in Frontend Streamlit User Interface.

1. Python Scripting
2. Streamlit for Front End UI
3. Snscrape library to extract data from Twitter
4. Pandas to create Data Frames
5. Mongodb to store data in database

1. This is how the Front end of UI looks like

2. After entering the Twitter Hashtag, It wil ask to insert the number of hashtag to search from start date to end date.

3. This is how the extracted data from twitter looks like with all the required data columns. Here we can upload the data to database, download the data in csv or json format

4. This is how the downloaded csv file looks like

5. This is how the downloaded JSON file looks like

6. This is how the uploaded datas in Mongodb looks like

Click Here to View Demo Video File

Click Here for Git Hub link

• Ajith Sanjeeva Poojary (M.Tech : Software Engineering) Click here to View Linkedin Profile