Fast Reddit Scraper — Posts, Comments, Communities & Search

📦 Sample Output — 13+ Fields per Record

{
  "id": "1g48a9f",
  "title": "State of AI Agent Development in 2026: Trends and Breakthroughs",
  "author": "tech_analyst",
  "subreddit": "technology",
  "score": 1420,
  "upvoteRatio": 0.94,
  "numComments": 182,
  "permalink": "https://www.reddit.com/r/technology/comments/1g48a9f/..."
}

What you get: Id · Title · Author · Subreddit · Score · Upvote Ratio · Num Comments · Permalink

$0.001/run · No browser · Export JSON / CSV / Google Sheets

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🎁 Free Tier: Extract up to 1,000 items 100% FREE!

No credit card required • Powered by Apify Free Plan

Every Apify user receives $5.00 in free starter credits every month! You can test and extract up to 1,000 records 100% free with this scraper before paying anything.

👉 Click here to Launch a Free Test Run with 1 Click (Pre-filled)

⚡ Live Run Demo (Sub-second Execution)

[00:00.00] 🚀 Initializing Micro-Container (256MB RAM)...
[00:00.28] 🛡️ Anti-bot handshake passed: Zero-Proxy direct connection
[00:00.85] ⚡ Scraping targets... 50 Reddit posts & comments extracted
[00:01.42] ✅ STATUS: SUCCEEDED in 1.42s — Compute cost: $0.00078
[00:01.43] 📦 Export ready: [JSON] [CSV] [Excel] [Webhook Sent]

🛡️ 100% Zero-Block & Zero-Proxy Guarantee

• 🟢 Status: Operational & Actively Maintained (Verified daily for 2026 anti-bot rules).
• ⚡ Smart Session Bypass: Emulates genuine mobile and desktop browser traffic natively at the HTTP/2 & HTTP/3 protocol level (No heavy Chrome, no Cloudflare blocks).
• 🚫 Zero Expensive Proxies Needed: Runs effortlessly on standard Apify datacenter proxies or direct requests. Saves you $15/GB compared to bloated headless browser scrapers.

⚡ Compatible Make.com, Zapier, n8n, Google Sheets, Airtable & Webhooks. Runs on ultra-lightweight 256MB RAM micro-containers with sub-second execution and zero browser crashes.

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Fast and lightweight Reddit scraper using public endpoints without official API keys. Scrape subreddits, user discussions, nested comments, and search keywords with high efficiency.

Unlike conventional scrapers running heavy headless browsers (Puppeteer/Playwright eating 1–2 GB of RAM that frequently crash and time out), Fast Reddit Scraper runs on ultra-lightweight 256 MB RAM micro-containers using direct HTTP/2 requests with TLS session emulation — running 10x faster at 90% lower compute cost.

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⚡ 1-Click Quickstart (Try in 3 Seconds)

1. Pre-filled Defaults: Every required field is pre-configured with real-world examples (technology).
2. Click "Save & Start" directly in the Apify Console.
3. Live results appear in under 3 seconds in your Dataset.
4. Export as JSON, CSV, Excel or pipe directly to Google Sheets & CRM.

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📥 Input Parameters & Configuration

Configure your extraction via the Apify Console UI or API with these intuitive parameters:

Field Name	Type	Required	Default	Description & Examples
subreddits	Array<string>	No	["technology"]	Subreddit names (e.g. technology, artificial, webscraping) or full URLs.
searchQueries	Array<string>	No	[]	Keywords to search across Reddit or filter inside the specified subreddits.
sort	string	No	"hot"	Sorting method. Options: hot, new, top, rising, relevance.
time	string	No	"all"	Time window when sorting by top. Options: all, year, month, week, day, hour.
maxItems	integer	No	50	Maximum number of posts to retrieve (1 to 5,000).
scrapeComments	boolean	No	true	When enabled, extracts top comments and community discussions for each post.
maxCommentsPerPost	integer	No	10	Maximum comments to extract per post (0 to 100).
proxyConfiguration	object	No	{ "useApifyProxy": true }	Proxy settings (standard datacenter proxies are fully supported).

Example Input (JSON)

{
  "subreddits": ["technology", "artificial"],
  "sort": "hot",
  "time": "week",
  "maxItems": 50,
  "scrapeComments": true,
  "maxCommentsPerPost": 10
}

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📤 Output Dataset & Extracted Fields

Results are saved to the default dataset and available immediately in JSON, CSV, Excel, XML, or HTML table format.

Sample Output Record (JSON)

{
  "id": "1g48a9f",
  "title": "State of AI Agent Development in 2026: Trends and Breakthroughs",
  "author": "tech_analyst",
  "subreddit": "technology",
  "score": 1420,
  "upvoteRatio": 0.94,
  "numComments": 182,
  "permalink": "https://www.reddit.com/r/technology/comments/1g48a9f/...",
  "url": "https://www.reddit.com/r/technology/comments/1g48a9f/...",
  "createdUtc": 1730462400,
  "selftext": "A detailed analysis of emerging autonomous AI workflows...",
  "isSelf": true,
  "comments": [
    {
      "id": "lt83k2m",
      "author": "ml_engineer",
      "body": "The latency improvements this year have been incredible.",
      "score": 145,
      "createdUtc": 1730463100
    }
  ]
}

Extracted Data Fields Reference

Field	Type	Description
id	string	Unique Reddit submission identifier.
title	string	Full title of the submission.
author	string	Reddit username of the post creator.
subreddit	string	Subreddit community name where posted.
score	integer	Net upvotes count.
upvoteRatio	number	Ratio of upvotes to downvotes (e.g. 0.95).
numComments	integer	Total comments on the post.
permalink	string	Canonical Reddit URL for the discussion.
createdUtc	integer	Unix timestamp of post publication.
selftext	string	Post body text (for text posts).
comments	array	Structured list of nested comments with author, body, and votes.

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⚡ Compute Cost & Efficiency (Why Choose This Scraper?)

• Super Cheap: Runs on 256MB RAM. Scrapes 100 posts and thousands of comments in seconds with zero browser overhead.
• Run on Apify Free Tier: Apify gives you $5 free credits every month. Because this scraper only consumes 256MB RAM and executes in seconds, you can perform thousands of runs every month completely free.
• 100% Cloud Stability: Zero browser overhead means no Chromium memory leaks, no zombie processes, and 99.9% run success rates.

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💰 Transparent Cost Breakdown: What Does 1 Run Cost?

Unlike bloated scrapers that burn through monthly credits in 10 searches, this Actor is engineered for ultra-lightweight 256MB micro-containers:

Metric	Heavy Competitor Scrapers	Fast Scraper (This Actor)
RAM Allocated	2048 MB – 4096 MB	256 MB
Average Run Time	25 – 60 seconds	Sub-second to 2.5 seconds
Compute Cost per Run	~$0.05 per batch	~$0.0008 (Less than 1/10th of a cent)
Runs on Free $5 Plan	~100 runs/month	Over 6,000 runs/month FREE

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🥊 Why This Scraper Beats the Competition

Feature	Legacy Scrapers (Puppeteer/Playwright)	Fast Reddit Scraper (This Actor)
Architecture	Heavy Headless Chrome (Slow & Bloated)	Direct HTTP/2 Micro-Requests
RAM Required	2,048 MB to 4,096 MB	256 MB (Ultra-lightweight)
Execution Speed	30 to 90 seconds per batch	1.2 to 3 seconds (Sub-second ready)
Proxy Requirement	Requires expensive Residential ($15/GB)	Works on Datacenter or Zero-Proxy
Reddit API Key	Often requires Reddit OAuth API app	Zero API keys required
Monthly Compute Cost	Burns through credits rapidly	90% cheaper compute consumption

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🚀 Key Features

• Extract Posts & Discussions: Retrieve titles, authors, upvote ratios, selftext, and thumbnails.
• Nested Comments: Extract top discussion threads and replies without hitting rate limits.
• Subreddit Keyword Search: Search across specific subreddits or all of Reddit.
• Multiple Sorting Options: Hot, New, Top (day, week, month, year, all), and Rising.
• Sub-Second Performance: Engineered on 256MB micro-containers for maximum throughput.
• No API Keys Needed: Operates reliably without Reddit developer credentials.

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💡 Use Cases & Applications

• Product Validation & Customer Pain Points: Uncover what users complain about on niche subreddits.
• Brand Sentiment & Social Listening: Monitor mentions of your company or competitors across Reddit discussions.
• Market Research & Content Strategy: Identify viral discussion topics and trending questions in your industry.
• AI & LLM Training / RAG Pipelines: Feed authentic human discussions into vector databases.

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🔌 No-Code Integrations (Make.com, Zapier, n8n & Webhooks)

This Actor connects seamlessly with your favorite automation and CRM tools to run scheduled workflows or sync data automatically:

1. Make.com Integration

1. Add an Apify module in Make.com and choose "Run an Actor".
2. Select rbbscrap/fast-reddit-scraper and pass your desired inputs.
3. Add a "Watch Dataset Items" module to receive extracted items.
4. Route clean JSON straight into Google Sheets, Airtable, Notion, or Slack.

2. n8n Integration

1. Use the n8n Apify Node or a generic HTTP Request Node.
2. Set execution mode to asynchronous and pass your Apify API Token.
3. Automatically append clean records into PostgreSQL, Supabase, or HubSpot.

3. Google Sheets & Zapier

• Push fresh rows automatically into Google Sheets via the Apify Google Sheets integration.
• Trigger instant email or Slack alerts via Zapier whenever new records match your criteria.

4. Webhooks & REST API

Call this scraper via a single HTTP POST request from Python, Node.js, cURL, or PHP:

curl "https://api.apify.com/v2/acts/rbbscrap~fast-reddit-scraper/runs?token=YOUR_API_TOKEN" \
  -X POST \
  -H "Content-Type: application/json" \
  -d '{"subreddits": ["technology"], "maxItems": 50}'

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🎯 3 One-Click Real-World Scenarios

Choose your use case and launch it in 1 click:

• 🎯 Scenario 1: Competitor Intelligence & Brand Monitoring — Track product complaints and brand mentions every morning.
• 🎯 Scenario 2: High-Volume Trend Research & Market Analysis — Extract top weekly discussions from target industry subreddits.
• 🎯 Scenario 3: AI Agents & LLM RAG Pipeline Feeding — Export clean, structured Markdown or JSON directly into Claude, OpenAI, or LangChain.

👉 Open the Input Form to Launch Your Free Test

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💻 Developer API Integration (Python & Node.js)

Call this Actor programmatically from your backend, ETL pipelines, or LLM agents in 3 lines of code:

🐍 Python SDK

from apify_client import ApifyClient

# Initialize the client with your Apify API token
client = ApifyClient("YOUR_APIFY_TOKEN")

# Run the Actor and wait for completion
run = client.actor("rbbscrap/fast-reddit-scraper").call(run_input={
    "subreddits": ["technology"],
    "sort": "hot",
    "maxItems": 50
})

# Fetch dataset items directly as Python dictionaries
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(f"Extracted {len(items)} items successfully!")

🟡 Node.js / TypeScript SDK

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('rbbscrap/fast-reddit-scraper').call({
    subreddits: ["technology"],
    sort: "hot",
    maxItems": 50
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Extracted ${items.length} items successfully!`);