eliasbiondo

eliasbiondo / redd

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📡 A modern, async-ready Python library for extracting Reddit data — scrape posts, comments, users, and subreddits with typed models and no API keys required.

15
0
100% credibility
Found Mar 12, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A Python library that lets users extract public Reddit data like posts, comments, search results, and user activity by accessing Reddit's unauthenticated JSON endpoints.

How It Works

1
🔍 Discover the tool

You find a handy way to pull public Reddit posts, comments, and user info without needing a login or special access.

2
📦 Add it to your project

You easily bring the tool into your Python world so it's ready to use.

3
🚀 Start a session

You open a quick connection to Reddit, like turning on a faucet for data.

4
🌟 Grab your data

You search for topics across Reddit, fetch hot posts from favorite communities, or peek at user activity, getting clean lists with titles, scores, and links.

5
📖 Dive into details

You explore full posts with all comments, or download images to save them locally.

✅ Enjoy your results

You have all the Reddit info you wanted, neatly organized and ready for whatever you're building.

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Star Growth

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AI-Generated Review

What is redd?

REDD pulls Reddit posts, comments, users, and subreddit listings via public JSON endpoints—no API keys needed. It delivers sync or async Python clients with typed models for clean data handling, plus auto-pagination to fetch hundreds of items effortlessly. Think reddit download for datasets, like scraping reddit all, soccer, or wow threads into structured objects.

Why is it gaining traction?

Unlike raw requests scripts, it bundles user-agent rotation, proxies, and throttling to dodge bans, with image downloads and full comment trees out of the box. Async readiness slots into FastAPI or asyncio apps, and enums for categories/time filters keep queries precise. Developers dig the zero-config setup for quick reddit deutsch or finanzen aktie pulls.

Who should use this?

Data analysts tracking reddit aktie or finanzen trends from niche subs. ML engineers assembling redd dataset github repos from reddit all dumps. Hobby scripters monitoring reddit soccer matches or wow raids without boilerplate.

Verdict

Solid for prototyping reddit extraction—great docs, examples, and PyPI-ready—but 14 stars and 1.0% credibility scream early alpha; Reddit tweaks could break it. Pair with proxies for real use; skip if you need battle-tested reliability.

(178 words)

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