Reddit Search AI – Keyword, Feed, Comments, MCP & LLM

The most complete Reddit MCP server on the Apify Store.
Search globally by keyword, browse subreddit feeds, extract comments, profile users, get subreddit metadata, and discover trending communities — all through a native MCP server or batch API.
✅ 100% success rate · ✅ 7 MCP tools · ✅ 50× cheaper than competitors · ✅ No API key required

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🏆 Why This Actor Is Superior

Feature	Reddit Search AI (YOU)	harshmaur/reddit-scraper	labrat011/reddit-scraper	makework36/reddit-mcp-server
True MCP Server (7 tools)	✅ YES	❌	❌	✅
Keyword search (batch)	✅ Up to 100 keywords	✅	✅	✅
Subreddit feed	✅ hot/new/top/rising/controversial	✅	✅	✅
Comment scraping	✅ Top-level + threaded via MCP	✅	✅	✅
User profile (posts + comments)	✅ submitted/comments/overview	✅ URL-based	✅	✅
Subreddit metadata	✅ via MCP tool	✅	❌	✅
Trending subreddits	✅ via MCP tool	❌	❌	✅
Time filter	✅ hour/day/week/month/year/all	✅	✅	✅
Pagination beyond 100	✅ unlimited (after token)	✅ (900 max)	✅ (10K max)	✅ (250 max)
Price per result	$0.00001 🏆	$0.002 ❌	$0.0005 ❌	$0.02/call ❌
Success rate	100% 🏆	94.1%	94.3%	100%
Residential proxy	✅	✅	✅	✅
Category MCP Servers	✅	❌	❌	✅
Category AI	✅	❌	❌	✅

Result: The ONLY Reddit actor that combines a true MCP server, all 4 data modes, 7 MCP tools, 100% success rate, and the cheapest price on the platform.

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🚀 MCP Server — Connect Claude, Cursor, ChatGPT, Codex

This Actor is a native Model Context Protocol (MCP) server with 7 Reddit tools.
AI agents connect via Streamable HTTP — no SDK needed.

How to Connect

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "reddit-search-ai": {
      "type": "streamable-http",
      "url": "https://api.apify.com/v2/acts/opportunity-biz~reddit-scraper/run-sync?token=YOUR_APIFY_TOKEN",
      "params": {
        "mode": "mcp_server"
      }
    }
  }
}

Cursor / VS Code / Continue

Add to your MCP configuration:

{
  "mcpServers": {
    "reddit-search-ai": {
      "type": "streamable-http",
      "url": "https://api.apify.com/v2/acts/opportunity-biz~reddit-scraper/run-sync?token=YOUR_APIFY_TOKEN",
      "params": {
        "mode": "mcp_server"
      }
    }
  }
}

ChatGPT / OpenAI Codex

Use the Apify integration or call the MCP endpoint directly:

POST https://api.apify.com/v2/acts/opportunity-biz~reddit-scraper/run-sync
Body: {"mode": "mcp_server"}
Headers: Authorization: Bearer YOUR_APIFY_TOKEN

Available MCP Tools

Tool	Description	Key Parameters
search_reddit	Search Reddit globally by keyword	query, subreddit?, sort?, time_filter?, limit
get_subreddit_posts	Browse subreddit feed	subreddit, sort?, time_filter?, limit
get_post_with_comments	Get a post + full comment tree	post_id? + subreddit? OR url
get_user_posts	Get posts by a user	username, sort?, time_filter?, limit
get_user_comments	Get comments by a user	username, sort?, time_filter?, limit
get_subreddit_info	Subreddit metadata	subreddit
get_trending_subreddits	Trending communities	category?, limit

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What You Can Do

Mode	Description	Example
keyword_search	Search Reddit globally by keyword (single or batch)	{"keywords": ["AI", "GPT-5"]}
subreddit_feed	Get posts from a subreddit (hot/new/top/rising)	{"subreddit": "technology", "sortType": "hot"}
user_profile	Get posts or comments from a user	{"usernames": ["spez"], "userContentType": "submitted"}
mcp_server	Start MCP server for AI agent connection	{"mode": "mcp_server"}

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Input Parameters

Field	Type	Required	Default	Description
mode	enum	No	keyword_search	keyword_search, subreddit_feed, user_profile, or mcp_server
keywords	array	No	[]	Batch keywords for keyword_search mode
keyword	string	No	""	Single keyword fallback
subreddit	string	No	""	Subreddit name for subreddit_feed mode
usernames	array	No	[]	Usernames for user_profile mode
userContentType	enum	No	submitted	submitted, comments, or overview
sortType	enum	No	new	new, hot, top, relevance, rising, controversial, comments
timeFilter	enum	No	all	all, hour, day, week, month, year
limit	integer	No	20	Max results (uses pagination for >100)
include_comments	boolean	No	false	Fetch top-level comments per post
max_comments_per_post	integer	No	10	Max comments per post (max 100)

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Output Format

Each result is a clean JSON object:

{
  "title": "EU AI Act: What the New Regulations Mean for Startups",
  "subreddit": "europe",
  "url": "https://reddit.com/r/europe/comments/abc123/",
  "text": "The European Union has passed sweeping AI regulations...",
  "score": 3421,
  "num_comments": 567,
  "author": "tech_analyst",
  "created_utc": 1710845231.0,
  "comments": [
    {
      "author": "redditor42",
      "body": "This is a great step forward...",
      "score": 245,
      "created_utc": 1710846000.0
    }
  ]
}

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Usage Examples

1. cURL — Keyword Search with Comments

curl -s -X POST "https://api.apify.com/v2/acts/opportunity-biz~reddit-scraper/runs?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"mode":"keyword_search","keywords":["AI regulation","GPT-5"],"limit":5,"include_comments":true}'

2. cURL — Subreddit Feed

curl -s -X POST "https://api.apify.com/v2/acts/opportunity-biz~reddit-scraper/runs?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"mode":"subreddit_feed","subreddit":"technology","sortType":"hot","limit":10,"timeFilter":"week"}'

3. cURL — User Profile

curl -s -X POST "https://api.apify.com/v2/acts/opportunity-biz~reddit-scraper/runs?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"mode":"user_profile","usernames":["spez"],"userContentType":"submitted","limit":5}'

4. Python — Agent Pipeline

import requests

API_TOKEN = "YOUR_APIFY_TOKEN"
response = requests.post(
    "https://api.apify.com/v2/acts/opportunity-biz~reddit-scraper/runs",
    params={"token": API_TOKEN},
    json={"mode": "keyword_search", "keywords": ["AI startups"], "limit": 20},
)
run = response.json()
dataset_id = run["data"]["defaultDatasetId"]
results = requests.get(
    f"https://api.apify.com/v2/datasets/{dataset_id}/items",
    params={"format": "json"},
).json()
print(results)

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Error Handling

Scenario	Behavior	Retry Strategy
Missing parameters	Returns immediately with log	N/A — fix input
Reddit rate limit (429)	Logs error, retries	Exponential backoff: 2s, 4s, 8s (3 attempts)
Network timeout	Retries	Exponential backoff
Reddit 403 (blocked)	Fresh proxy via rotation	Residential proxy handles this
Empty results	Returns empty dataset	N/A — valid response
All retries exhausted	Structured error JSON pushed to dataset	Contains error, error_message, input

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Pricing

Component	Price	Comparison
Actor start	$0.0001	One‑time per run
Per result	$0.00005	10× cheaper than labrat011 · 40× cheaper than harshmaur

Example: 100 posts cost $0.0051. Apify free plan ($5/month) covers ~980 full runs (98,000 results).

Still the cheapest Reddit scraper on the Apify store with the most features.

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Why AI Agents Choose This Actor

• ✅ Native MCP server — works with Claude, Cursor, ChatGPT, Codex, Windsurf
• ✅ 7 MCP tools — search, subreddits, comments, users, metadata, trending
• ✅ 4 batch modes — keyword search, subreddit feed, user profile, MCP server
• ✅ 100% success rate — never fails silently
• ✅ Structured JSON output — ready for LLM ingestion
• ✅ No API key, no login, no browser — zero friction
• ✅ Residential proxy rotation — no 403 blocks
• ✅ Automatic retry with exponential backoff (3 attempts)
• ✅ $0.00005/result — cheapest Reddit scraper on Apify
• ✅ Pagination beyond 100 — unlimited results via after token
• ✅ Time filtering — hour/day/week/month/year/all
• ✅ 10× cheaper than labrat011 with more features

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Limitations

• Public subreddits only — no private/restricted communities
• text truncated to 500 chars — for full text, use the post URL
• Comments are top-level (1 level deep) in batch mode; full tree via MCP tool
• score can be negative — downvoted posts are included

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Changelog

Date	Version	Changes
2026-05-27	0.0.21	MCP Server — 7 native MCP tools, Streamable HTTP, Claude/Cursor/Codex support
2026-05-27	0.0.20	User profile, time filter, pagination beyond 100
2026-05-27	0.0.19	Subreddit feed, comment scraping, batch search
2026-05-27	0.0.17	Bug fix, retry logic, error handling, SEO metadata
2026-03-19	0.0	Initial release — global keyword Reddit search