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Reddit Posts, Subreddits & Search Scraper [$1/1K]

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Fast Reddit scraper for subreddit feeds and keyword search. Extracts post titles, scores, comment counts, author names, external URLs, and post discussions without cookies or IP bans.

Pricing

from $1.00 / 1,000 results

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0.0

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Developer

YakeddGraph Engineering

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🚀 Reddit Posts, Subreddit & Search Scraper [$1/1K · No Cookies]

Extract structured, verified data in seconds with yakeddgraph/reddit-scraper-search-fast — engineered for zero-cookie execution, 512 MB ultra-light cloud containers, and seamless Model Context Protocol (MCP) & REST API integration.

📊 View Live Extracted Sample Dataset Portal (HTML / JSON-LD)
⚡ Download 1-Click n8n Automation Workflow JSON
🤖 Import OpenAPI 3.1.0 Spec for OpenAI Custom GPTs & LangChain
🌐 Explore All 20 YakeddGraph Micro-SaaS Tools

⚡ Why Choose This Actor? (Top-Tier Comparison)

Feature	YakeddGraph (`reddit-scraper-search-fast`)	Typical Store Competitors
Pricing	$1.00 per 1,000 results (`$0.001/item` Pay-Per-Event)	$5.00 – $25.00 / 1,000 results + Monthly Rental
Cookies / Login Required?	No Cookies or Login Required	Often requires session cookies
Residential Proxies Needed?	No (Zero Proxy Cost)	Expensive residential proxy burn
Memory Footprint	512 MB Ultra-Light Container (16x concurrent runs on Free tier)	4,096 MB heavy browser instances
AI & MCP Ready	Native Support for Claude Desktop, Cursor & Custom GPTs	Manual integration required

🤖 Connect to Claude Desktop, Cursor & Windsurf (Apify MCP Server)

Add this Actor as a native tool inside Claude Desktop (claude_desktop_config.json) or Cursor (.cursor/mcp.json):

{
  "mcpServers": {
    "yakeddgraph-reddit-scraper-search-fast": {
      "command": "npx",
      "args": [
        "-y",
        "@apify/actors-mcp-server",
        "--actors",
        "yakeddgraph/reddit-scraper-search-fast"
      ],
      "env": {
        "APIFY_TOKEN": "YOUR_APIFY_API_TOKEN"
      }
    }
  }
}

🛠️ Input Parameters & Example Payload

Parameter	Type	Description
`subreddit`	`string`	Subreddit name without r/ (e.g., technology, artificial, SaaS, entrepreneur, wallstreetbets).
`search_query`	`string`	Optional keyword to filter post titles or selftext.
`max_posts`	`integer`	Maximum number of Reddit posts to extract (up to 100 per run).

Example Input JSON

{
  "subreddit": "technology",
  "search_query": "",
  "max_posts": 30
}

📊 Real Verified Output Dataset Sample

{
  "post_id": "1gxyz98",
  "title": "Open-weight AI agents are transforming enterprise automation pipelines",
  "subreddit": "technology",
  "author": "tech_architect",
  "score": 1420,
  "num_comments": 318,
  "created_utc": 1730720000,
  "selftext": "",
  "domain": "techcrunch.com",
  "external_url": "https://techcrunch.com/2026/11/04/ai-agents/",
  "reddit_url": "https://www.reddit.com/r/technology/comments/1gxyz98/",
  "extracted_by": "YakeddGraph Reddit Intelligence"
}

🔌 Quickstart API Integration (Python, Node.js & cURL)

Python (`apify-client`)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_API_TOKEN")
run = client.actor("yakeddgraph/reddit-scraper-search-fast").call(run_input={
  "subreddit": "technology",
  "search_query": "",
  "max_posts": 30
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Direct Synchronous REST API (cURL)

curl -X POST "https://api.apify.com/v2/acts/yakeddgraph~reddit-scraper-search-fast/run-sync-get-dataset-items?token=YOUR_APIFY_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"subreddit": "technology", "search_query": "", "max_posts": 30}'

Google Search Results Scraper

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Skip tracing & people search: name, address or phone in → ranked phones (type, carrier, confidence), emails, addresses, relatives out. Name + location searches return the right person, not a namesake. Pay only for matched records. Lawful B2B use only.

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Lightning-fast search, URL, list, and profile scraping, with customizable filters. At $0.40 per 1000 tweets, and 30-80 tweets per second, it is ideal for researchers, entrepreneurs, and businesses! Get comprehensive insights from Twitter (X) now!