🟠 Reddit Scraper — Posts, Comments, Subreddits, Search & Users

Turn any Reddit page into clean, structured JSON. Point this Actor at a subreddit, a search query, a post, or a user — and get back tidy, ready-to-use records for posts and full comment trees, complete with score, upvote data, media, flair, and timestamps. No headless browser, no login for your users, no setup headaches.

Built for scale and for AI: the output is flat JSON, so it drops straight into spreadsheets, databases, RAG pipelines, and LLM workflows.

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⚡ Why this scraper

• 🧵 Full comment trees — not just posts. Get nested replies with depth, parent, author, score, and body.
• 🔎 Every entry point — scrape by subreddit, keyword search, post URL, or user profile. Paste any Reddit URL and the type is auto-detected.
• 🖼️ Media included — image URLs, galleries, video links, and video poster thumbnails — so you can preview content without downloading it.
• 🎛️ Precise control — sort (hot/top/new/rising), time window, NSFW toggle, date limits, max comments per post, and a global item cap.
• 💸 Transparent price, low cost — a flat rate per result, well below the usual market rate. You only pay for what you keep.
• 🤖 AI-agent ready — callable as a tool from Claude, ChatGPT, Cursor and any MCP client (see below).
• 🚀 Fast & lightweight — pure HTTP, no browser, so runs are quick and cheap.

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🎯 What you can use it for

• Market & product research — track what real people say about a product, brand, game, or trend across niche subreddits.
• AI / LLM training & RAG — Reddit is the gold standard for authentic human discussion. Feed clean posts + comments into your models and retrieval systems.
• Lead generation — find users asking for exactly what you sell, in the communities that matter.
• Sentiment & brand monitoring — pull the latest threads on any topic and run your own analysis.
• Academic & data science — build datasets from public discussions with reproducible, structured output.

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🧭 What you can scrape

Input	What you get
Subreddits — ["programming", "r/MachineLearning"]	Latest/top/hot posts, plus their comments
Search — ["best mechanical keyboard"]	Matching posts across Reddit (or inside one subreddit)
Reddit URLs — post / subreddit / user / search links	Auto-detected and scraped accordingly
User profiles	A user's posts and comments

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📥 Input examples

Scrape a subreddit's top posts of the week, with comments:

{
  "subreddits": ["MachineLearning"],
  "sort": "top",
  "time": "week",
  "maxComments": 20,
  "maxItems": 500
}

Search Reddit for a topic:

{
  "searches": ["rag pipeline", "vector database"],
  "sort": "relevance",
  "time": "year",
  "maxItems": 200
}

Scrape a specific post (or paste any Reddit link):

{
  "startUrls": ["https://www.reddit.com/r/programming/comments/abc123/"],
  "maxComments": 100
}

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📤 Output

One clean JSON object per item, each tagged with a type (post or comment).

{
  "type": "post",
  "id": "abc123",
  "title": "Show HN: I built a Reddit scraper",
  "body": "Here's how it works…",
  "subredditPrefixed": "r/programming",
  "author": "dev_user",
  "score": 1234,
  "upvoteRatio": 0.97,
  "numComments": 56,
  "createdAt": "2026-07-11T18:00:00.000Z",
  "flair": "Discussion",
  "over18": false,
  "permalink": "https://www.reddit.com/r/programming/comments/abc123/…",
  "imageUrls": [],
  "videoUrl": null,
  "media": []
}

Posts include: title, body, subreddit, author, score, upvote ratio, comment count, created date, flair, NSFW/spoiler/stickied flags, media (images, video + poster), permalink, domain, and more. Comments include: body, author, score, created date, depth, parent, and whether it's the original poster (isSubmitter).

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🤖 Use with AI agents (MCP)

This Actor is callable by AI agents through the Apify MCP server — no extra setup. Point any MCP-capable client (Claude Desktop, ChatGPT, Cursor, or your own agent) at https://mcp.apify.com and just ask:

"Search Reddit for what people say about <topic> and summarize the top threads."

The agent runs this Actor as a tool and streams back clean, structured results.

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💸 Pricing

Pay per result — you're billed a flat rate for each item (post or comment) delivered to your dataset. Duplicates are removed before you're charged. No surprises: cap the run with maxItems and pay only for what you get.

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❓ FAQ

Do I need a Reddit account or API key? No. Everything runs on Apify's infrastructure — you just provide subreddits, searches, or URLs.

What data does it collect? Only public Reddit content — the same posts and comments any visitor can see. No private communities, no logins, no personal messages.

What format is the output? Flat JSON, exportable to CSV, Excel, JSON, or via the API — ready for spreadsheets, databases, and AI pipelines.

How do I limit cost? Set maxItems for a hard cap, maxComments to control comments per post, and skipComments if you only need posts.

Can it scrape comments? Yes — full nested comment trees, with depth and parent relationships preserved.

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Scrapes public data only. Please use responsibly and in line with applicable laws and Reddit's terms.