 __  __  _ __   ____
/\ \/\ \/\`'__\/',__\
\ \ \_\ \ \ \//\__, `\
 \ \____/\ \_\\/\____/
  \/___/  \/_/ \/___/

Universal Reddit Scraper - A comprehensive Reddit scraping command-line tool written in Python.

[-h]
[-e]
[-v]

[-t [<optional_date>]]
[--check]

[-r <subreddit> <(h|n|c|t|r|s)> <n_results_or_keywords> [<optional_time_filter>]]
    [-y]
    [--csv]
    [--rules]
[-u <redditor> <n_results>]
[-c <submission_url> <n_results>]
    [--raw]
[-b]
    [--csv]

[-lr <subreddit>]
[-lu <redditor>]

    [--nosave]
    [--stream-submissions]

[-f <file_path>]
    [--csv]
[-wc <file_path> [<optional_export_format>]]
    [--nosave]

Contact
Introduction
"Where’s the Manual?"
- URS Manual
Demo GIFs
Sponsors

Contact

Whether you are using URS for enterprise or personal use, I am very interested in hearing about your use case and how it has helped you achieve a goal. Additionally, please send me an email if you would like to contribute, have questions, or want to share something you have built on top of it.

You can send me an email by clicking on the badge. I look forward to hearing from you!

Introduction

This is a comprehensive Reddit scraping tool that integrates multiple features:

Scrape Reddit via PRAW (the official Python Reddit API Wrapper)
- Scrape Subreddits
- Scrape Redditors
- Scrape submission comments
Livestream Reddit via PRAW
- Livestream comments submitted within Subreddits or by Redditors
- Livestream submissions submitted within Subreddits or by Redditors
Analytical tools for scraped data
- Generate frequencies for words that are found in submission titles, bodies, and/or comments
- Generate a wordcloud from scrape results

"Where’s the Manual?"

`URS` Manual

This README has become too long to comfortably contain all usage information for this tool. Consequently, the information that used to be in this file has been moved to a separate manual created with mdBook, a Rust command-line tool for creating books from Markdown files.