This repository contains three projects. All three convert user data of a different source to a more easily manageable Excel file. For more information, visit the README.md
file of the according folder.
The Reddit scraper is capeable of converting a specified number of posts in a subreddit into a sorted Excel file. This file then contains the date about the post (Title
, Body
, Author
, Created
, Score
, Num Comments
and the Permalink
) as well as data about every comment (Comment
, Author
, Created
, Score
, Reply to
).
Similar to the Reddit scraper, the Twitter scraper converts a specified number of tweets of a givin user into a sorted Excel file. The contents include Text
, Author
, Created
, Retweets
, Favorites
and Reply to
. Note that for this to work, a BASIC
subscription to the Twitter API is needed (~100$/month).
The YouTube scraper converts all the comments of a given video ID into a sorted Excel file. The data includes following entries: Comment
, Author
, Created
, Likes
.
For detailed description of the code, refer to the Explanation
section in the README.md
files.