Pricing

Rating

Developer

Actor stats

Categories

Share

Reddit Scraper

Posts · Comments · Users · Communities · Search · AI Answers · Intelligence

The fast, reliable Reddit comment & post scraper — scrape every comment (including nested replies), plus posts, users, communities & search, as clean structured data. Bulk comment extraction, every field returned, export to CSV/Excel/JSON.
No login. No API key. No app setup. Pay only for results.

👁 Try it free
  👁 Input
  👁 Output
  👁 Pricing
  👁 FAQ

⚡ No blocks · No timeouts · Every field, every time  |  🧵 Every comment in a thread  |  🤖 AI answers & product picks  |  💲 From $2 / 1,000 results

What it does

Give it a subreddit, keyword, username, category, question, or URL — get back structured JSON (also CSV, Excel, XML). It pulls posts, full comment threads, user profiles, and community data, and layers on intelligence most people don't know Reddit has: AI-synthesized answers with product picks, the algorithmic feed, keyword/audience sizing, and more.

⚡ Fast & reliable by design. No blocks, no browser-driven timeouts, and every field is always present — no "enable detailed fields" toggle. IP rotation is built in, with nothing for you to configure.

Why it beats other Reddit scrapers

How to use it

1. Create a free Apify account (or log in).
2. Pick at least one source — a subreddit, keyword, username, category, question, or URL.
3. (Optional) toggle add-ons: full comments, analytics, post intelligence, etc.
4. Click Start and download as JSON, CSV, or Excel — or pull via API / MCP.

🟢 New here? Just put one subreddit in subreddits and hit Start. Everything else is optional. The recipes below are copy-paste ready — paste one into the JSON editor (the {} tab) and run.

Recipes — copy, paste, run

Each recipe is a complete input. Use the JSON input tab, paste, and Start.

1. Posts from a subreddit — newest / top / hot posts of a community

{"subreddits":["technology"],"sort":"top","time":"week","maxPostsPerSource":100}

2. Only the popular posts (filter by upvotes/comments) — skip the noise

{"subreddits":["technology"],"sort":"new","minScore":500,"minComments":50,"maxPostsPerSource":200}

3. Every comment on a post — full thread, including nested replies

{"startUrls":[{"url":"https://www.reddit.com/r/AskReddit/comments/abc123/post_title/"}],
"includeComments":true,"maxCommentsPerPost":5000,"threadedComments":false}

4. Posts + their comments from a subreddit

{"subreddits":["buildapc"],"sort":"top","time":"month","maxPostsPerSource":50,
"includeComments":true,"maxCommentsPerPost":200}

5. Every recent comment across a whole subreddit — mass comment extraction

{"subredditComments":["wallstreetbets"],"maxPostsPerSource":1000}

6. Search posts or comments by keyword

{"searches":["electric vehicles"],"searchType":"comments","sort":"top","time":"month","maxPostsPerSource":200}

Set searchType to posts, comments, communities, or users. Add "searchCommunity": "cars" to search inside one subreddit.

7. Crawl a whole topic (no subreddit names needed)

{"categories":["Crypto"],"categoryMaxCommunities":10,"sort":"top","time":"week","maxPostsPerSource":50}

8. Size a keyword — communities + audience + related subs

{"keywords":["ozempic"]}

9. Ask Reddit AI + get product picks with prices

{"answers":["best budget mechanical keyboard under $100"],"answersProducts":true}

10. Scrape a user's posts + comments

{"users":["spez"],"includeComments":true,"includeUserInfluence":true}

11. Monitor a brand (run daily on a schedule)

{"searches":["YourBrand"],"searchType":"posts","sort":"new","time":"day",
"minScore":5,"includeAnalytics":true}

Input — every setting explained

Add at least one source; everything else is optional. The input form is grouped into collapsible sections — here's every field, what it does, and when to use it.

📥 Sources — pick at least one

🔧 Search & feed

💬 Comments

🎚️ Filters — keep only what you want

✨ Intelligence & enrichments (optional add-ons)

Output

Clean JSON — API / MCP / spreadsheet / LLM-ready. Organized views: 🤖 AI Answers · 📋 Posts · 💬 Comments · 👥 Communities & Users · 🔑 Keyword Intel · 📊 Analytics.

Post (70+ fields, incl. computed engagement analytics):

{
 "type": "post",
 "title": "What's the best mechanical keyboard under $100?",
 "subreddit": "MechanicalKeyboards",
 "author": "…",
 "score": 1542, "upvote_ratio": 0.97, "num_comments": 387,
 "created_utc": 1781348353,
 "permalink": "https://www.reddit.com/r/MechanicalKeyboards/comments/…",
 "age_hours": 76.3, "score_per_hour": 20.2, "comments_per_hour": 5.1,
 "engagement_total": 1929, "is_high_engagement": true,
 "word_count": 27, "outbound_url_host": null
}

Comment (self-contained — carries its post context + analytics):

{
 "type": "comment",
 "body": "Keychron V1 is unbeatable at that price…",
 "author": "…", "score": 214, "controversiality": 0,
 "depth": 1, "num_replies": 3,
 "post_title": "What's the best mechanical keyboard under $100?",
 "subreddit": "MechanicalKeyboards",
 "age_hours": 70.1, "score_per_hour": 3.05, "word_count": 9,
 "permalink": "https://www.reddit.com/r/…/comment/…"
}

Ask Reddit AI ({ "answers": ["best budget mechanical keyboard under $100"] }):

{
 "type": "answer",
 "query": "best budget mechanical keyboard under $100",
 "answer": "Redditors frequently recommend Keychron, Aula…",
 "products": [
 { "title": "Aula F75 Wireless Mechanical Keyboard…", "image_url": "https://…",
 "offers": [
 { "retailer": "Amazon", "price": "$65.99", "purchase_url": "https://www.amazon.com/…" },
 { "retailer": "Walmart", "price": "$59.39", "purchase_url": "https://www.walmart.com/…" } ] }
 ],
 "source_subreddits": ["MechanicalKeyboards", "budgetkeebs"]
}

Use cases

• Product & affiliate research — what Reddit recommends to buy, with prices & buy links
• Market & pain-point research — sentiment, themes, and ranked unmet needs by niche
• Brand & topic monitoring — AI summaries + sentiment from real threads
• Audience & influence mapping — who participates, who moderates, which communities overlap
• AI / LLM training data — clean posts + complete comment threads

Pricing

Pay-per-result — no subscription, no idle fees.

• From $2 per 1,000 results · failed or empty runs cost ~nothing
• 1,000 items ≈ $2 · 10,000 ≈ $20

FAQ

Do I need a Reddit account or API key? No — none required. Paste a subreddit, keyword, or URL and run.

My old Reddit scraper stopped working / keeps returning empty — why? Many Reddit scrapers broke recently and now return nothing, 403 errors, or missing score and comment fields. This one is actively maintained and built to keep working — and you only pay for results, so a run that returns nothing costs ~nothing.

How do I scrape all comments from a Reddit post? Paste the post URL into startUrls, set includeComments: true, and raise maxCommentsPerPost. You get every comment, including deeply nested replies — flat or as a threaded tree. See Recipe 3.

How do I get every comment from a whole subreddit? Use subredditComments with the subreddit name — it pulls every recent comment across all of its posts in one run (Recipe 5). This is the fastest way to do mass comment extraction.

Can I search Reddit comments by keyword? Yes — live, relevance-ranked comment search across all of Reddit or inside one community (searchType: comments).

How do I scrape a whole subreddit's posts? Put the name in subreddits, choose sort (hot/new/top/rising) and time, and set maxPostsPerSource (Recipe 1).

How do I export Reddit data to CSV or Excel? Run the actor, then download the dataset as CSV, Excel, XML, JSON, or HTML — or pull it via API, MCP, n8n, Make, or Zapier. Dates come out as readable ISO timestamps, so CSVs open clean.

Is scraping Reddit legal? This collects only public Reddit data — no private messages, no logged-in account data, no moderator-only data. As always, comply with applicable laws and terms for your use case.

How much does it cost? Pay-per-result, from $2 / 1,000 items — no subscription, no idle fees, and failed or empty runs cost ~nothing.

👁 Start