rmap

Inspiration

Determining credibility is an individual task that we much each perform for ourselves. I wanted to create a tool that could help everyone in being able to determine how much trust they should be able to put in content on reddit.

What it does

rmap takes the name of a subreddit and looks at its top contributers, it then checks to see what other subreddits those users are a part of and compiles a list of them for the user to browse to understand where prominent users in the subreddit spend their time.

How I built it

I built rmap using python3 and PRAW the Python Reddit API Wrapper.

Challenges I ran into

In order to access the Reddit API you have to register your applicaiton with reddit. The instructions I was following to do so also said it was required to set up Oauth with reddit, however those instructions were outdated and it took me a while to figure this out.

Accomplishments that I'm proud of

I am rather proud of the architecture of the program. Rmap has to take in a lot of data and I had to find ways to minimize memory usage while also providing a translation betweep PRAW objects and the rmap objects I was building. I think this is the best Object Oriented project I have built.

What I learned

I learned about interfacing with a library to do webscrapping. I learned a little bit more about the background objects reddit uses.

What's next for rmap

The next steps for rmap would be filtering for importance. Filtering out bots, weighing users contributions to my "cloud" of subreddits based on criteria availble to me through PRAW

Built With

• python