🔥 Reddit Scraper for LLM & RAG | Posts, Comments & Images (2025)

The fastest, most cost-effective way to extract Reddit data for AI workflows. No browser overhead, no rate limit headaches—just clean JSON + LLM-ready Markdown output that plugs directly into n8n, Make, or any automation platform.

• ⚡ Blazing fast - Pure HTTP requests, no browser simulation
• 💰 Incredibly cheap - $0.30 for 100 posts with comments (flat rate, any comment count)
• 🤖 LLM-optimized - Markdown output ready for GPT, Claude, Gemini
• 🔄 n8n native - Designed for workflow automation

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Why This Actor?

Most Reddit scrapers give you raw JSON that needs heavy transformation before LLMs can use it. This Actor outputs pre-formatted Markdown alongside structured JSON—feed it directly to an AI node without writing a single line of code.

Perfect for n8n Workflows

Lead Generation from Pain Points

reddit-to-llm (search: "looking for", "need help with")
  → LLM qualify leads
  → CRM/Email sequence

Find people actively seeking solutions you provide.

Product Validation Pipeline

Webhook (new idea)
  → reddit-to-llm (search related subreddits)
  → LLM analyze: demand signals, objections, existing solutions
  → Structured report

Before building, validate if people actually want it. The markdown format lets LLMs deeply analyze threaded discussions.

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⚡ Key Features

Lightning Fast Extraction

• No browser overhead - Direct data extraction, not Puppeteer/Playwright
• 20 concurrent requests - Process multiple posts simultaneously
• Automatic deduplication - No duplicate posts across modes

🎯 Three Collection Modes

• Search - Global or subreddit-restricted keyword search
• Subreddit Feeds - Hot, new, top, rising posts
• Direct URLs - Scrape specific posts by URL

🤖 LLM-Ready Output

• Markdown field - Formatted for direct AI consumption
• Flat comments with depth - Easy to process, depth signals conviction
• OP markers - Know when the author replies

📸 Optional Image Extraction

• Preview images, galleries, direct links (i.redd.it, imgur)
• Stored to Apify Key-Value Store with public URLs
• Ready for vision models (GPT-4V, Claude)

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💰 Pricing (Pay Per Event)

Transparent, predictable pricing. Only pay for what you extract.

Event	Price
Post scraped (without comments)	$0.001
Post scraped (with comments)	$0.003
Image scraped	$0.0005

Flat rate per post - Whether a post has 1 comment or 500 comments, the price is the same ($0.003).

Cost Examples

Scenario	Posts	Comments?	Images	Total Cost
Posts only	100	No	0	$0.10
Posts + comments	100	Yes (any count)	0	$0.30
Deep dive	500	Yes (any count)	0	$1.50
With images	100	Yes	500	$0.55

Cost optimization tips:

• Set includeComments: false if you only need post titles/content (3x cheaper)
• Comment count doesn't affect price - get as many as you need!
• Filter by subreddit to avoid irrelevant posts

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Input Configuration

Search Mode

Parameter	Type	Default	Description
searchKeywords	string[]	[]	Keywords to search (joined with spaces)
searchInSubreddits	string[]	[]	Limit search to specific subreddits
searchSort	enum	relevance	relevance, new, top, comments
searchLimit	integer	25	Max posts (1-1000)

Subreddit Feed Mode

Parameter	Type	Default	Description
subreddits	string[]	["indiehackers"]	Subreddits to scrape
subredditSort	enum	hot	hot, new, top, rising
subredditTimeFilter	enum	-	For top: hour, day, week, month, year, all
subredditLimit	integer	25	Max posts per subreddit (1-1000)

Direct URLs Mode

Parameter	Type	Default	Description
postUrls	string[]	[]	Reddit post URLs or redd.it short links

Output Settings

Parameter	Type	Default	Description
includeComments	boolean	true	Fetch comments for each post
commentsLimit	integer	100	Max comments per post (0 = all, max 1000)
scrapeImages	boolean	false	Extract and store images
proxyConfiguration	object	Residential	Apify Proxy settings

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Output Schema

Each dataset item represents one Reddit post (real example):

{
  "id": "1prkwnx",
  "title": "Product Developer (15y SaaS/Apps) seeking Marketing/Sales co-builder",
  "author": "ManuelWenner",
  "created_utc": "2025-12-20T18:18:21+00:00",
  "permalink": "/r/indiehackers/comments/1prkwnx/product_developer_15y_saasapps_seeking/",
  "url": "https://www.reddit.com/r/indiehackers/comments/1prkwnx/...",
  "selftext": "Hey folks,\n\nI've been building digital products for ~15 years...",
  "score": 2,
  "upvote_ratio": 0.75,
  "num_comments": 8,
  "subreddit": "indiehackers",
  "subreddit_details": {
    "name": "indiehackers",
    "title": "Independent developers building their own way",
    "description": "IndieHackers is a subreddit focused on people who bootstrap their way to success by building products.",
    "subscribers": 140617,
    "active_users": null,
    "created_utc": "2016-09-26T12:05:56+00:00",
    "over_18": false,
    "subreddit_type": "public",
    "url": "https://www.reddit.com/r/indiehackers/"
  },
  "is_nsfw": false,
  "is_spoiler": false,
  "link_flair_text": "General Question",
  "comments": [
    {
      "id": "nv30qrn",
      "body": "How do people find Matchplan?",
      "author": "scarfwizard",
      "score": 1,
      "depth": 0,
      "created_utc": "2025-12-20T20:02:18+00:00",
      "parent_id": "t3_1prkwnx",
      "is_submitter": false
    },
    {
      "id": "nv33n4g",
      "body": "Currently I'm in such an early stage...",
      "author": "ManuelWenner",
      "score": 1,
      "depth": 1,
      "parent_id": "t1_nv30qrn",
      "is_submitter": true
    }
  ],
  "images": [],
  "markdown": "# Product Developer seeking Marketing/Sales co-builder\n\n**2 upvotes** | 8 comments | u/ManuelWenner | 2025-12-20\n\nHey folks...\n\n---\n\n## Comments\n\n**[1] u/scarfwizard** How do people find Matchplan?\n> **[1] u/ManuelWenner (OP)** Currently I'm in such an early stage...\n"
}

Output Fields

Post data: id, title, author, created_utc, permalink, url, selftext, score, upvote_ratio, num_comments, subreddit, subreddit_details (subscribers, description, etc.), is_nsfw, is_spoiler, link_flair_text

Comments: Flat list with depth (0 = top-level), is_submitter marks OP replies

Markdown: Pre-formatted for LLM consumption with nested blockquotes for replies

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Example Inputs

Search Mode (Global)

{
  "searchKeywords": ["indiehacker", "pain points"],
  "searchSort": "relevance",
  "searchLimit": 50,
  "includeComments": true,
  "commentsLimit": 100
}

Subreddit Feed

{
  "subreddits": ["indiehackers", "SaaS", "startups"],
  "subredditSort": "top",
  "subredditTimeFilter": "week",
  "subredditLimit": 100
}

Direct URLs

{
  "postUrls": [
    "https://www.reddit.com/r/indiehackers/comments/abc123/...",
    "https://redd.it/xyz789"
  ],
  "includeComments": true,
  "commentsLimit": 500
}

Combined (All Modes)

{
  "searchKeywords": ["product feedback"],
  "subreddits": ["SaaS"],
  "postUrls": ["https://redd.it/abc123"],
  "includeComments": true,
  "commentsLimit": 100
}

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Use Cases

For Product Teams

• Voice of Customer - Extract feature requests and complaints from product subreddits
• Competitor Intelligence - Monitor what users say about alternatives
• Product Validation - Search for demand signals before building

For Marketers

• Content Research - Find top-performing topics in your niche
• Lead Generation - Identify users seeking solutions you provide
• Brand Monitoring - Track mentions and sentiment

For Researchers

• Qualitative Analysis - Reddit comments as interview transcripts
• Trend Detection - Early signals from rising posts
• Sentiment Analysis - Community reactions with depth context

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Limitations

• Pagination cap: Max 1,000 posts per mode, 1,000 comments per post
• Comment structure: Flat list with depth field (not nested JSON tree)
• Images: Common sources supported (preview, i.redd.it, imgur, galleries). Videos not downloaded.
• Rate limits: Handled automatically with exponential backoff

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FAQ

Q: Do I need a Reddit account or API key? A: No. The Actor extracts publicly available data without authentication.

Q: How fast is it? A: Very fast. No browser overhead means 100 posts with comments typically complete in under 60 seconds.

Q: Why is the markdown field useful? A: LLMs process it directly without transformation. Perfect for n8n/Make workflows where you connect Actor output → AI node.

Q: Can I scrape private subreddits? A: No. Only public subreddits and posts are accessible.

Q: What if a post is deleted? A: The Actor returns null and continues with other posts.

Q: How do I reduce costs? A: Set includeComments: false if you only need posts (3x cheaper: $0.001 vs $0.003). Comment count doesn't affect price, so no need to limit commentsLimit for cost reasons—use it only to reduce processing time.

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Support

• 📧 Email: max@mapa.slmail.me
• 🐛 Bugs: Use the Issues tab
• 💡 Feature requests: Email or Issues

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Legal

This Actor extracts publicly available Reddit data. Users are responsible for compliance with Reddit's Terms of Service and applicable data protection regulations (GDPR, CCPA).

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🚀 Start Extracting Reddit Data Now

Turn Reddit discussions into AI-ready insights in minutes, not hours.