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devtools

URS: Scrape Reddit Data

Extract valuable Reddit insights with URS. Ideal for founders, backed by 1.0k+ GitHub stars.
1,006 stars124 forksPythonQuality 8/10Updated 7/11/2026100% free ยท open source
What it does

URS extracts valuable insights from Reddit by scraping and archiving data from the platform, allowing founders to gather information and understand trends and conversations related to their business or niche.

Install / run
pip install git+https://github.com/JosephLai241/URS.git
When to use it
  • โ€ขYou need to analyze customer feedback and sentiment about your product or service on Reddit.
  • โ€ขYou want to track discussions and trends related to your industry or competitors on the platform.
  • โ€ขYou're looking to gather data for market research or competitive analysis from Reddit communities.
Quick start
  1. 1Clone the URS repository using the command `git clone https://github.com/JosephLai241/URS.git`.
  2. 2Navigate into the repository using `cd URS`.
  3. 3Create a configuration file by copying the example config file with `cp config.example.json config.json` and edit it to include your Reddit API credentials.
  4. 4Run the scraper using the command `python ur.py` followed by the desired subcommand, such as `--subreddit` to specify the subreddit you want to scrape.
  5. 5View the scraped data in the `data` directory, where it will be stored in JSON format.
Ready-to-paste prompt
python ur.py --subreddit r/learnpython --sort top --time all --limit 1000
Heads up: You need to have a Reddit API key and secret to use URS, which requires creating a Reddit app and obtaining the necessary credentials to include in your config.json file.
Saves to your device

Topics

archiving
command-line
comments
csv
data-analysis
data-science
json
livestream
osint-tool
praw
pyo3
python
reddit
reddit-scraper
redditor
rust
scraper
subreddit
trees
wordcloud
What's inside โ€” free to inspect
No purchase needed

Read the entire source before you build โ€” unlike paid marketplaces that hide it behind a buy button.

9
top-level files
6
folders
596.2M
repo size
MIT
license
Key files
README.md
File tree
.github/
manual/
supplemental_docs/
taisun/
tests/
urs/
.env
.gitignore
Cargo.toml
LICENSE
poetry.lock
poetry.toml
pyproject.toml
README.md
rustfmt.toml
Quick Actions
Details
Creator
JosephLai241
Language
Python
Category
devtools
Published
3/20/2019

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