This is a simple Tweet Search App built with python + snscrape module + Streamlit.

I got tired of searching tweets using Twitter search and decided to build out a standalone app that I can query for keywords/phrases/hashtags/usernames...e.t.c. and subsequently download the data into a csv file for further custom analysis

FYI: This is roughly put together but does the job for what I needed.

The DataFrame UI community package by aggrid

• The app is deployed on Streamlit here.

• Clone this repo to your folder of choice:

  git clone https://github.com/tonykipkemboi/scrapeTwitter.git

• Change directory into the folder:

cd scrapeTwitter

• Create a python virtual environment:

python -m venv env

• Activate virtual environment:

.\env\Script\activate

• Install dependecies which are in the requirements.txt file:

python -m pip install -r requirements.txt

• Now you are ready top run the program in your localhost:

cd app

streamlit run driver.py

• The app will open in your browser. Feel free to play with the code and as you save changes, the app will update in real-time.

• Maybe make it a bit robust by adding unit tests and refactoring some of the code.
• Add a page for querying tweets by user.
• Create a dashboard after doing some analysis on mined tweets.

You can dm me on Twitter for collaboration or just holla!