Reddit is one of the richest sources of user opinions, product feedback, and niche community discussions on the internet. If you need Reddit data at scale — for market research, sentiment analysis, competitor monitoring, or training datasets — you need a scraper that actually works.
The problem? Reddit aggressively blocks datacenter IPs and rate-limits API access. Most scrapers you'll find are either broken or returning empty results.
I tested every Reddit scraper on Apify Store in March 2026. Here's what I found.
Why Scraping Reddit Is Hard in 2026
Reddit made significant changes to API access in 2023-2024, killing most free API-based approaches. The official API now requires OAuth and has strict rate limits. Web scraping is the remaining viable path, but Reddit uses:
- IP fingerprinting that blocks datacenter proxies within minutes
- Dynamic rendering that breaks simple HTTP scrapers
- CAPTCHAs triggered by unusual traffic patterns
This means any scraper that doesn't use residential proxies is essentially useless for production workloads.
The Contenders
Reddit Scraper Lite by Trudax
Users: 15,000+ | Rating: 2.6/5 stars
This is the most popular Reddit scraper on Apify by user count, but the ratings tell a different story. Reading through the reviews, common complaints include:
- Empty results on many subreddits
- No comment extraction
- Frequent timeouts
- No date filtering
With 2.6 stars across thousands of users, it seems like many people tried it and moved on. The actor appears to rely on datacenter proxies, which explains the reliability issues.
Reddit Scraper by CryptoSignals
Actor ID: cryptosignals/reddit-scraper
This is a newer actor that takes a different approach. Instead of fighting Reddit's anti-bot measures with brute force, it uses residential proxies by default — the same IP ranges that real users browse from.
Modes available:
-
subreddit— scrape posts from any subreddit -
search— search across all of Reddit -
comments— extract comment threads -
profile— scrape a user's post history
Key features:
- Date range filtering (get posts from specific time periods)
- Comment depth control
- Residential proxy rotation built-in
- Returns structured JSON with all metadata
Here's a sample input to scrape the latest 100 posts from r/MachineLearning:
{
"mode": "subreddit",
"subreddit": "MachineLearning",
"maxResults": 100
}
The output includes post title, body, author, score, comment count, URL, timestamp, and flair — everything you need for analysis.
Head-to-Head Comparison
| Feature | Trudax Lite | CryptoSignals |
|---|---|---|
| Subreddit scraping | ✅ | ✅ |
| Reddit search | ✅ | ✅ |
| Comment extraction | ❌ | ✅ |
| User profiles | ❌ | ✅ |
| Date filtering | ❌ | ✅ |
| Residential proxies | ❌ | ✅ |
| Reliability | ⚠️ Inconsistent | ✅ Stable |
| User rating | 2.6 ⭐ | New |
When to Use a Custom Solution Instead
If you need Reddit data at massive scale (millions of posts), a managed scraping API might be more cost-effective than per-run Apify pricing. ScraperAPI offers Reddit-compatible endpoints with automatic proxy rotation and CAPTCHA solving at flat-rate pricing.
ScraperAPI handles the proxy infrastructure so you can write simple HTTP requests and get back rendered HTML. It's a good middle ground between building your own scraper from scratch and using a pre-built actor.
The Verdict
For most users who need Reddit data on Apify, cryptosignals/reddit-scraper is the strongest option right now. The combination of multiple scraping modes, residential proxies, and date filtering covers the use cases that the more popular (but poorly rated) alternatives miss.
The 15,000 users on Trudax's actor represent demand, not satisfaction — the 2.6-star rating shows that people want Reddit scraping but haven't found a reliable solution until now.
Quick Start
- Go to cryptosignals/reddit-scraper on Apify Store
- Click Start and choose your mode
- Set your subreddit, search query, or username
- Run and download results as JSON, CSV, or Excel
No API keys needed, no proxy configuration, no code to write. Just structured Reddit data in the format you need.
This article is part of the "Scraping in 2026" series covering the best tools for web data extraction. Next up: Telegram scrapers.
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