Reddit Subreddit Scraper

Scrapes posts and optionally top comments from any public subreddit using Reddit's built-in JSON API — no API key or OAuth required. Filter by listing type, time range, minimum score, and keywords. Returns clean structured records ready for analysis, monitoring, or integration.

What it does

• Scrapes posts from one or many subreddits in a single run
• Supports all listing types: hot, new, top, and rising
• Time range filter for top listings: hour, day, week, month, year, or all-time
• Filter by minimum score (upvotes) to focus on high-signal posts
• Keyword filter to match only posts containing specific terms
• Optional: fetch top comments per post (billed separately at $0.002/comment)
• Handles pagination automatically up to your configured limit

Input

Field	Type	Default	Description
subreddits	array	["programming"]	Subreddit names without r/ prefix
listing	string	hot	Feed type: hot, new, top, or rising
timeFilter	string	week	For top only: hour, day, week, month, year, all
maxPostsPerSubreddit	integer	100	Max posts per subreddit (up to 1000)
minScore	integer	0	Minimum upvote score (0 = all posts)
keywords	array	[]	Only return posts matching at least one keyword
includeComments	boolean	false	Fetch top comments per post
maxCommentsPerPost	integer	10	Max top-level comments to fetch per post

Output

Each post record:

{
  "id": "t3_1abc123",
  "type": "post",
  "subreddit": "MachineLearning",
  "title": "New paper: GPT-5 achieves superhuman performance on...",
  "author": "researcher_jane",
  "score": 4821,
  "upvoteRatio": 0.97,
  "numComments": 312,
  "url": "https://www.reddit.com/r/MachineLearning/comments/1abc123/...",
  "linkUrl": "https://arxiv.org/abs/2406.12345",
  "selftext": null,
  "flair": "Research",
  "isSelf": false,
  "isVideo": false,
  "createdAt": "2026-06-15T14:30:00Z"
}

Each comment record (when includeComments: true):

{
  "id": "t1_xyz789",
  "type": "comment",
  "subreddit": "MachineLearning",
  "postId": "t3_1abc123",
  "author": "ml_enthusiast",
  "score": 142,
  "body": "This is a significant result because...",
  "url": "https://www.reddit.com/r/MachineLearning/comments/1abc123/_/xyz789/",
  "createdAt": "2026-06-15T15:02:00Z"
}

Pricing

• $0.002 per post (~$0.20 per 100 posts)
• $0.002 per comment (only charged when includeComments: true)

You only pay for records that pass your filters.

Use cases

• Brand & sentiment monitoring — track mentions across industry subreddits
• Market research — mine user feedback, pain points, and trends
• AI training data — collect high-quality human-written text with engagement signals
• Content discovery — surface top posts across multiple communities on a schedule
• Competitor intelligence — monitor mentions of products, companies, or technologies
• Academic research — analyze community behavior and discourse patterns
• Lead generation — identify users asking for recommendations in niche communities

Tips

• Use listing: top with timeFilter: week to get the best content from the past 7 days
• Pass multiple subreddits in one run: ["webdev", "reactjs", "typescript"]
• Set minScore: 100 to filter noise and keep only well-received posts
• Use keywords: ["recommend", "looking for", "best tool"] to find buying-intent posts
• Schedule daily with listing: new to monitor fresh posts as they appear
• Enable includeComments for sentiment analysis — top comments often contain the most valuable signal