Best Reddit Scrapers on Apify

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Quick Answer

For most Reddit workloads on Apify, start with Reddit Scraper (Apify) at $3.40 per 1,000 results. It's the first-party Actor, covers posts, comments, subreddits and users from a single input, and runs at a 92.7% success rate with the largest active user base of any Reddit Actor in the Store. Reddit Scraper Lite (Trudax) is effectively the same build at the same price. Pick ParseForge's Reddit Posts Scraper only if you need post-level data cheaply ($3.00/1k) and are willing to work around a 2.39★ rating. Avoid Trudax Reddit Scraper unless you're running >15k results/month. It's a $45/mo rental plus usage.

Browse all Reddit Actors →

Why not the official Reddit API?

Reddit's 2023 API pricing change priced out most non-enterprise consumers. The widely-cited example was Apollo's $20M/year bill for what had been free access. The free tier still exists but caps at 100 queries per minute per OAuth client, prohibits ML training, and requires commercial agreements for any serious use. Public-web scraping sidesteps the API entirely: you pay Apify compute + proxy, not Reddit.

• Step-by-step: Scrape Reddit: first run in the Console.

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Comparison table

Actor	Pricing	Rating	Monthly users	Best for
Reddit Scraper (Apify)	$3.40 / 1k results	4.60★	~2,690	Default pick. Posts, comments, users, communities in one Actor
Reddit Scraper Lite (Trudax)	$3.40 / 1k results	4.60★	~2,690	Same build, same price; use whichever README you've already read
Reddit Posts Scraper (ParseForge)	$3.00 / 1k posts	2.39★	~230	Post-only pulls if cost beats risk; 100% run success but few users
Reddit Scraper (Trudax)	$45/mo rental + usage	3.38★	~340	Only breaks even above ~15k results/month vs the PPR Actors

Stats pulled from each Store listing on 2026-05-26. Open the listings for live numbers.

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Cost math for a realistic workload

Monitoring 10 subreddits, pulling the top 500 posts each weekly with the top 200 comments per post:

• Posts: 10 × 500 × 4 weeks = 20,000 post results/month
• Comments: 20,000 × 200 = 4,000,000 comment results/month

At $3.40/1k, that's roughly $13,600/month on apify/reddit-scraper. That number is almost always a sign you should (a) cap maxComments per post, (b) only pull full comment trees for threads above a score threshold, or (c) split into two runs: posts daily, comments only on threads you actually care about. The Pay-Per-Result model makes the unit economics obvious, which is the main reason to prefer it over the rental Actor.

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When to pick each Actor

Reddit Scraper (Apify): default

First-party, Apify-maintained. Takes subreddit URLs, post URLs, user profiles, or a search keyword and returns posts with nested comments, user info, vote counts, awards, and timestamps. Input flags you'll actually use: searchPosts, searchComments, searchCommunities, searchUsers, maxItems, maxPostCount, maxComments, time (hour/day/week/month/year). Runs on Apify Proxy out of the box: residential is recommended and included in the Free plan trial.

Reddit Scraper Lite (Trudax)

Identical stats and pricing to the official Actor (same source lineage). If you're following an older Trudax tutorial, stay here; if you're starting fresh, use the official one for cleaner support routing.

Reddit Posts Scraper (ParseForge)

Narrower scope (posts only, no comment trees), slightly cheaper at $3.00/1k, and reports 100% run success. The 2.39★ rating and 230-monthly-user base are the caveats: run a paid test against 500 posts before scheduling it on production workloads. The Free plan is capped at 10 results per run, so you'll need at least the Starter plan to validate.

Reddit Scraper (Trudax)

Rental model: $45/month flat + Apify platform usage (compute units, proxy). Break-even vs the $3.40/1k Actors lands somewhere around 13–15k results/month depending on your proxy mix. Below that, the PPR Actors are cheaper; above it, the rental starts winning, and unlike PPR, you pay the same whether a run succeeds or fails.

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Field coverage (what you actually get back)

All four Actors return the same core fields from the public HTML/JSON endpoints:

• Posts: id, title, url, permalink, author, subreddit, createdAt, score/upvoteRatio, numberOfComments, flair, body (for self posts), media URLs for link/image/video posts.
• Comments (not ParseForge): id, body, author, score, createdAt, parentId, depth, and the reply tree. Deleted/removed comments return as [deleted] / [removed]. Reddit does not surface the original content publicly.
• Users: karma totals, account age, verified-email flag, public post/comment history (paginated).
• Communities: subscriber count, description, rules, moderators (public), created date.

What you won't get from any public-web scraper: private subreddits, quarantined content without login, deleted content, NSFW content for logged-out sessions in some regions, and precise vote counts (Reddit fuzzes these).

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Rate-limit reality after 2023

Reddit's anti-bot stack got noticeably more aggressive after the API changes. Practical notes from running these Actors weekly:

• Datacenter proxies get blocked fast. Sometimes within the first hundred requests. Default to residential.
• Concurrency above ~10 parallel requests on a single subreddit triggers 429s. Keep maxConcurrency low; parallelize across different start URLs instead of pounding one.
• old.reddit.com variants still work and are less aggressively protected than the new UI; some Actors use them under the hood.
• Search endpoints are strictly rate-limited. If your input is a keyword search rather than a subreddit URL, expect lower throughput.

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Common use cases

• Product research: pain points and feature requests in niche subreddits.
• Sentiment and theme extraction: JSON → LLM or classical NLP.
• Competitive intel: mentions of your brand, competitors, and alternative tools.
• Content research: recurring questions you can answer on your own site.
• LLM training/eval corpora, with appropriate licensing review.

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Pricing checklist before you schedule

1. Open the Actor's Pricing tab and read the event names (per result, per post, per comment).
2. Multiply by your expected monthly volume; don't forget comments-per-post is a multiplier.
3. Add residential proxy cost if you'll enable it (you should).
4. Run a paid test of 500–1,000 results and check runs succeeded on your own dashboard before scheduling.

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Frequently Asked Questions

Reddit Scraper by Apify ($3.40/1k results, 4.60★) is the default: first-party, covers posts/comments/users/communities, and has the largest monthly user base. Reddit Scraper Lite by Trudax is effectively the same build at the same price. ParseForge's Reddit Posts Scraper is cheaper at $3.00/1k but posts-only and lower-rated. Trudax's full Reddit Scraper is a $45/month rental, only worth it above ~15k results/month.

They extract public web data instead of calling Reddit's API, so you aren't billed per API call or subject to the 100-qpm OAuth cap introduced in 2023. You still pay Apify compute and proxy, you can still be rate-limited by Reddit at the HTTP layer, and you must respect Reddit's Terms of Service and robots.txt.

No, for public subreddits, posts, and user profiles. Private subreddits, quarantined communities, age-gated content, and logged-in-only pages are out of reach for public-web scrapers.

Yes with Reddit Scraper (Apify), Reddit Scraper Lite, and Trudax Reddit Scraper: raise maxComments and be aware that very deep threads (10k+ comments) are paginated behind 'load more' stubs and often need splitting across runs. ParseForge's Reddit Posts Scraper is posts-only.

Public web scraping is broadly permissible under US case law (hiQ v. LinkedIn), but Reddit's Terms of Service prohibit automated collection, and personal data (even public) triggers GDPR/CCPA obligations depending on jurisdiction and downstream use. Treat Reddit's ToS and robots.txt as a business-risk question, not a technical one, and consult counsel for anything commercial or ML-training-related.

The free OAuth tier is capped at 100 queries/minute per client and prohibits ML training and most commercial use. Paid API tiers are negotiated directly with Reddit and have historically ranged into six-figure annual contracts. For small-to-mid volume public data, Apify's pay-per-result model is meaningfully cheaper and doesn't require an API agreement, but it's public data only, and Reddit can tighten bot defenses at any time.