Best Reddit Scrapers in 2026: Honest Comparison (Apify Store)

Reddit holds some of the most valuable unstructured data on the internet. From brand monitoring and competitor research to sentiment analysis and lead generation, Reddit's 100K+ active communities generate millions of posts daily.

But scraping Reddit in 2026 is harder than it looks. Reddit aggressively blocks datacenter IPs, rate-limits API access, and serves CAPTCHAs to automated requests. Most scrapers that worked in 2024 are now unreliable.

I tested the most popular Reddit scrapers on the Apify Store to find out which ones actually work. Here's what I found.

The State of Reddit Scraping

The top Reddit scraper on Apify has 15,201 users — but only 2.6 stars. That's a massive red flag. The reviews tell the same story: timeouts, empty results, blocked requests.

Why? Most actors use datacenter proxies. Reddit fingerprints these and blocks them. You get a 429 or an empty page, and the actor returns zero results while still consuming your credits.

Comparison Table

Actor	Users	Rating	Pagination	Comments	User Profiles	Proxy Type	Approx. Cost/1K posts
trudax/reddit-scraper	11,355	—	✅	✅	❌	Datacenter	~$0.50
trudax/reddit-scraper-lite	15,201	⭐ 2.6	Partial	❌	❌	Datacenter	~$0.30
harshmaur/reddit-scraper-pro	1,591	—	✅	✅	❌	Datacenter	~$0.80
epctex/reddit-scraper	1,655	—	✅	✅	❌	Datacenter	~$0.70
fatihtahta/reddit-scraper-search-fast	1,821	—	✅	❌	❌	Datacenter	~$0.40
comchat/reddit-api-scraper	1,798	—	✅	✅	❌	Mixed	~$0.60
cryptosignals/reddit-scraper	New	—	✅	✅	✅	Residential	~$1.00

Deep Dive

trudax/reddit-scraper-lite (15,201 users, 2.6 stars)

This is the most-used Reddit actor on Apify — and also the worst-rated. The "lite" version strips out features to reduce cost, but the core problem isn't features. It's reliability.

Reddit blocks datacenter IPs aggressively. When the actor sends requests through standard Apify proxies, Reddit returns empty pages or CAPTCHAs. The result: you pay for a run that returns zero or partial data.

The reviews confirm this. Users report frequent empty results, especially for larger subreddits or search queries.

Verdict: Cheap per-run, but unreliable. You'll waste more in failed runs than you save.

trudax/reddit-scraper (11,355 users)

The full version from the same developer. It handles more input types and has better pagination than the lite version. However, it still relies on datacenter proxies, so you'll hit the same blocking issues on popular subreddits.

It does a better job with smaller, less-protected subreddits. If you're scraping niche communities with low traffic, this might work. For anything with significant volume, expect failures.

Verdict: Better than lite, but same underlying proxy problem.

cryptosignals/reddit-scraper (residential proxy)

Full disclosure: I built this one.

The key difference is proxy strategy. This actor routes requests through residential proxies, which Reddit doesn't block because they look like real user traffic. The tradeoff is cost — residential proxies are more expensive than datacenter — but you actually get your data.

Features:

• Subreddit scraping — get all posts from any subreddit with full pagination
• Search — search Reddit globally or within a subreddit
• Comment extraction — pull full comment trees, not just top-level
• User profiles — scrape a user's post and comment history
• Date filtering — restrict results to a specific time range
• Structured output — clean JSON with title, body, author, score, URL, timestamp, subreddit, comment count

The actor costs more per run (~$1/1K posts vs ~$0.30-0.50 for datacenter actors), but when you factor in failed runs, the effective cost is comparable or lower.

Other Notable Actors

epctex/reddit-scraper (1,655 users) and harshmaur/reddit-scraper-pro (1,591 users) both offer decent feature sets including comment extraction and pagination. They're solid middle-ground options if you're scraping low-traffic subreddits where datacenter blocking is less aggressive. Neither supports user profile scraping or residential proxies.

fatihtahta/reddit-scraper-search-fast (1,821 users) is optimized for search queries rather than full subreddit scraping. It's fast for keyword-based collection but lacks comment extraction — you only get post-level data.

comchat/reddit-api-scraper (1,798 users) takes a different approach by using Reddit's API endpoints rather than HTML scraping. This can be more reliable for some use cases, but Reddit's API rate limits (100 requests/minute on free tier) become the bottleneck at scale.

Common Use Cases

Before picking a scraper, know what you're actually building:

Brand monitoring. Track mentions of your company, product, or competitors across relevant subreddits. You need search + comment extraction for this — just post titles won't cut it, since many mentions happen in comment threads.

Market research. Want to know what people actually think about a product category? Reddit threads with 500+ upvotes are goldmines of unfiltered user opinions. Filter by date range to catch recent sentiment shifts.

Lead generation. People asking "what's the best X?" on Reddit are high-intent prospects. A scraper that searches across subreddits and returns results with timestamps lets you find and respond to fresh questions.

Academic research. Social scientists studying online communities need bulk data with clean structure. Full pagination and comment trees are essential here — sampling from partial results introduces bias.

Content research. Writers, marketers, and SEO professionals use Reddit to find trending topics, common questions, and content gaps. The upvote system is a built-in signal for what content resonates.

Sentiment analysis. Feed Reddit comments into NLP pipelines to gauge public opinion on products, policies, or events. You need full comment extraction with author metadata and timestamps for meaningful analysis.

Code Example

Here's how to use the actor via the Apify Python client:

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run = client.actor("cryptosignals/reddit-scraper").call(
    run_input={
        "type": "subreddit",
        "subreddit": "artificial",
        "sort": "hot",
        "limit": 100,
    }
)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item['title']} | Score: {item['score']} | Comments: {item['commentCount']}")

For search queries:

run = client.actor("cryptosignals/reddit-scraper").call(
    run_input={
        "type": "search",
        "query": "best CRM for startups",
        "sort": "relevance",
        "limit": 50,
    }
)

When You Don't Need an Actor

Not every Reddit task needs a scraper. For quick, one-off lookups:

• Reddit's JSON API: Append .json to any Reddit URL (e.g., reddit.com/r/python/hot.json). No auth needed, but rate-limited to ~60 requests/minute.
• PRAW (Python Reddit API Wrapper): Official API access. Free tier gives you 100 requests/minute. Good for moderate volumes if you don't mind the OAuth setup.
• Old Reddit + curl: old.reddit.com pages are simpler to parse than the React frontend.

Use an actor when you need:

• High volume (1,000+ posts)
• Reliable pagination across large result sets
• Automatic retry and proxy rotation
• Structured JSON output without parsing HTML
• Scheduled recurring scrapes

Conclusion

The Reddit scraper market on Apify is dominated by high-user-count actors that don't work reliably because they use datacenter proxies that Reddit blocks.

If you need Reddit data that actually arrives, look for actors using residential proxies. I built cryptosignals/reddit-scraper specifically to solve this problem.

Full disclosure: I'm the developer. Try the free tier and check the output before committing. The data speaks for itself.