Subreddit Scraper - Deep Crawl Posts, Media & Nested Comments
Pricing
from $1.60 / 1,000 results
Extract complete subreddit feeds (Hot, New, Top, Rising, Controversial), historical post archives, media galleries, flairs, and nested discussion comment trees from any Reddit community. Download clean, structured JSON/CSV data with AI sentiment and content taxonomy enrichment.
How to sort posts in the subreddit feed.
Time window for Top or Controversial posts.
Deep crawl mode — paginates as far back as Reddit allows for maximum historical post extraction.
Maximum number of posts to collect per subreddit.
Safety ceiling for total items (posts + comments) across the entire run.
When enabled, extracts the comment thread and replies for every scraped post.
Maximum number of comments to extract per post thread.
When true, pushes each comment as its own dataset row instead of nesting under parent post.
Enriches each post and comment with sentiment score, confidence, and label (positive, negative, neutral, mixed, uncertain).
Classifies posts against an enterprise topic taxonomy (category label and hierarchical path).
Filter posts by media type.
Only keep posts with at least this many comments.
Only keep posts created on or after this date (YYYY-MM-DD).
Only keep posts created on or before this date (YYYY-MM-DD).
Only keep posts with flair text containing this keyword.
Only keep posts whose title contains this keyword.
Exclude moderator announcements and pinned posts.
Comment Sort Order
commentsSort
Optional
Ranking method for comments in threads.