I've been tweeting a lot about technology as a way to keep an online portfolio and build a network of engineers.

I'm producing some cool work from that content and in wanting to add to my resume, I wanted to see exactly what I've been working on.

So I built a scraper to look at my tweets, clean them, and get a count of the times they appear in my tweets. This might make me refine my writing so that I can add more concise tweets.

The goal is to build this and allow anyone to be able to use it and see what they mainly tweet about.

I'm a newbie to docker so any contribution is welcome!

Here

line 110

Get credentials from:

CONSUMER_KEY=''
CONSUMER_SECRET=''
ACCESS_TOKEN=''
ACCESS_SECRET=''

Create a config.py file and add those credentials to that file. It will look just like the code block above and you are already importing into the app.py file.

Make sure you DO NOT share those credentials with anyone.

Install Docker

docker-compose build

docker-compose up

You should see a populated output.csv locally. This is possible due to a Bind mounted volume at runtime. It maps a path in your host file system to a path in the Docker container's filesystem.

If everything is running correctly, go to your browser and type in: http://localhost:5000/

You should see your most tweeted topics!