Reddit Scraper Pro: Extract Posts, Comments, Subreddits & Users

Unlock the power of Reddit data without restrictions! Reddit Scraper Pro is a high-speed, cost-effective, and robust web scraping tool built to extract posts, comments, media attachments, subreddits, and user profiles.

Unlike bloated browser-based scrapers that consume massive server memory, Reddit Scraper Pro uses a optimized headless HTTP crawler powered by Crawlee & Cheerio. It fetches raw data directly from Reddit's endpoints, making it 10x faster and 80% cheaper in compute costs, bypassing the need for expensive official Reddit API tokens.

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🚀 Key Features

• No API Key Required: Scrape publicly available Reddit data anonymously without registering for a developer account or hitting strict API quotas.
• Subreddit Crawler: Scrape posts from any subreddit (e.g., r/technology, r/askreddit) with custom sorting (Hot, New, Top, Rising, Controversial) and timeframes.
• Keyword Search Extractor: Scan all of Reddit for specific keywords or search queries to find trends, brand mentions, or community discussions.
• User Profile Miner: Scrape submissions (posts) and comments written by specific Reddit users (e.g., u/spez).
• Deep Comment Thread Parsing: Extract full comment trees nested under posts. Recursively flattens comments for clean CSV, Excel, or JSON export, preserving replies, upvote scores, and depth structure.
• Smart Media Downloader: Detects and extracts direct URLs for images, multi-image galleries, native Reddit videos, and external outbound links.
• Cursor-Based Pagination: Automatically follows cursors to retrieve hundreds or thousands of posts per search term or subreddit.
• Proxy Support: Fully compatible with Apify Residential Proxies to rotate IPs, bypass geographical restrictions, and avoid rate limiting.

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💡 Why Choose Reddit Scraper Pro?

Feature	Reddit Scraper Pro	Other Browser-Based Scrapers
Technology	Lightweight HTTP Requests	Headless Chrome (Playwright/Puppeteer)
Compute Overhead	Very Low (~256MB RAM)	Extremely High (1GB - 2GB RAM)
Speed	100+ pages/minute	5-10 pages/minute
Apify Costs	$~0.05 per 10k items	$~1.50 per 10k items
WAF Resilience	Excellent (via TLS fingerprinting)	Poor (easy browser automation detection)

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⚙️ Input Parameters

Configure the actor easily using the following input fields:

Parameter	Type	Default	Description
mode	Select	subreddits	Scraping target: subreddits, search, users, or direct-urls.
subreddits	Array	["todayilearned"]	Subreddit names to crawl (without r/).
searchQueries	Array	["artificial intelligence"]	Keywords to search across Reddit.
usernames	Array	["spez"]	Reddit usernames to scrape.
directUrls	Array	[]	Direct Reddit URLs of subreddits, users, or posts to scrape.
sort	Select	hot	Post sorting order: hot, new, top, rising, controversial, relevance.
timeFilter	Select	all	Upload timeframe: hour, day, week, month, year, all.
maxItems	Integer	25	Maximum number of posts or comments to scrape per query/subreddit.
scrapeComments	Boolean	true	Set to true to extract comments under scraped posts.
maxComments	Integer	50	Maximum comments to fetch per post.
maxDepth	Integer	5	Nested reply depth limit (1 = top-level replies only).
proxyConfiguration	Object	{ "useApifyProxy": true }	Apify proxy settings (Residential proxies recommended).

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📊 Output Data Structure

The scraper saves results in clean, structured JSON format. Below is an example of an extracted post with flattened comments:

{
  "id": "1e78xyz",
  "title": "Why is artificial intelligence growing so fast in 2026?",
  "selftext": "I've been tracking AI progress and the computing power scaling is unbelievable...",
  "author": "tech_enthusiast",
  "subreddit": "technology",
  "subreddit_id": "t5_2qh1e",
  "score": 1420,
  "upvote_ratio": 0.94,
  "num_comments": 12,
  "created_utc": "2026-08-01T15:30:22.000Z",
  "domain": "self.technology",
  "over_18": false,
  "spoiler": false,
  "pinned": false,
  "locked": false,
  "is_video": false,
  "thumbnail": null,
  "flair": "Discussion",
  "permalink": "https://www.reddit.com/r/technology/comments/1e78xyz/why_is_artificial_intelligence_growing_so_fast/",
  "mediaType": "text",
  "mediaUrls": [],
  "commentsCount": 12,
  "comments": [
    {
      "id": "lh91abc",
      "author": "ai_researcher",
      "body": "It's mostly due to the algorithmic advancements in reasoning and reinforcement learning.",
      "score": 85,
      "parent_id": "t3_1e78xyz",
      "created_utc": "2026-08-01T15:45:10.000Z",
      "depth": 1,
      "replies_count": 1
    },
    {
      "id": "lh92def",
      "author": "tech_enthusiast",
      "body": "Do you think we will hit the compute wall soon?",
      "score": 12,
      "parent_id": "t1_lh91abc",
      "created_utc": "2026-08-01T16:02:44.000Z",
      "depth": 2,
      "replies_count": 0
    }
  ]
}

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🎯 High-Value Use Cases

1. AI Training & NLP Datasets: Scrape millions of conversations, Q&As (from r/AskReddit), and discussions to train custom LLMs, chatbots, or perform advanced text classification.
2. Sentiment Analysis & Market Research: Monitor subreddits related to your industry to analyze consumer feedback, brand reception, and competitor weak spots in real-time.
3. Social Listening & Brand Tracking: Search for product names or brand keywords to find organic mentions and respond to customer queries instantly.
4. Lead Generation & Community Growth: Discover popular posts in niche subreddits to identify influencers, subject-matter experts, and warm outreach targets.

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🏷️ Search Tags (SEO Optimized)

reddit-scraper, reddit-api-alternative, scrape-reddit-comments, reddit-extractor, reddit-post-scraper, reddit-data-miner, subreddit-downloader, sentiment-analysis-reddit, social-listening-reddit, reddit-user-scraper, reddit-media-scraper, reddit-to-excel, reddit-to-csv