Reddit Scraper Enhanced

Scrape Reddit posts, comments, and subreddit analytics with built-in sentiment scoring. Uses Reddit's public JSON API — no browser automation needed, no datacenter IP blocks.

Use Cases

• Market Research — Monitor subreddit trends, track product mentions, analyze competitor discussions
• Sentiment Analysis — Automatically classify post/comment sentiment as positive, negative, or neutral
• Pain Point Discovery — Find complaints, feature requests, and frustrations in niche communities
• Content Ideation — Discover what topics resonate in your target communities
• Community Monitoring — Track brand mentions, competitor activity, and industry discussions
• Lead Generation — Identify potential customers expressing needs your product solves

Input

Field	Type	Default	Description
subreddit	string	—	Subreddit name without r/ (e.g., python, startups)
searchQuery	string	—	Search within subreddit or all of Reddit
sort	select	hot	Sort method: hot, new, top, rising
timeFilter	select	all	Time range for top sort: hour, day, week, month, year, all
maxResults	integer	50	Max posts to scrape (1–500)
includeComments	boolean	false	Include top-level comments for each post
commentDepth	integer	3	Depth of comment thread recursion (1–10)
proxyConfiguration	proxy	—	Apify proxy settings

Example Output

{
  "id": "abc123",
  "title": "I built a tool that solved my biggest frustration with Reddit research",
  "author": "example_user",
  "subreddit": "startups",
  "score": 247,
  "upvoteRatio": 0.92,
  "numComments": 58,
  "created": 1713542400,
  "url": "https://www.reddit.com/r/startups/comments/abc123/...",
  "permalink": "https://www.reddit.com/r/startups/comments/abc123/i_built_a_tool_that_solved/",
  "selftext": "After months of manually scrolling through subreddits...",
  "flair": "Tool",
  "isStickied": false,
  "isLocked": false,
  "awards": 3,
  "sentiment": "positive",
  "sentimentScore": 0.6,
  "positiveCount": 4,
  "negativeCount": 1,
  "top_comments": [
    {
      "author": "commenter1",
      "body": "This is amazing! Exactly what I needed.",
      "score": 45,
      "created": 1713546000,
      "depth": 0,
      "sentiment": "positive",
      "sentimentScore": 1.0,
      "replies": []
    }
  ],
  "commentCount": 1
}

How It Works

1. No browser needed — Uses Reddit's public .json API endpoints
2. Built-in rate limiting — Respects 60 req/min with proper User-Agent
3. Simple sentiment scoring — Keyword-based analysis with no ML dependencies
4. Recursive comments — Fetches nested reply threads up to configurable depth
5. Proxy support — Use Apify Proxy to avoid rate limits

Quick Start

# Via Apify CLI
apify run --input='{"subreddit": "python", "sort": "hot", "maxResults": 100}'

# Or use the Apify Console / API

Limitations

• Reddit's JSON API returns max 100 items per request (the actor paginates automatically)
• Some subreddits may restrict API access
• Sentiment analysis is keyword-based and may not capture sarcasm or nuanced language
• Rate limits apply (~60 requests/minute with proper User-Agent)

Pricing

$0.002 per scraped post (PAY_PER_EVENT model).