Reddit Comments Scraper

Extract every comment from any Reddit post URL — including collapsed, hidden, and deeply nested replies. Get comment text, author, upvotes, depth level, controversiality, reply counts, and timestamps. Filter by date. Flattened output with full thread context. No login or cookies needed.

Pricing

from $0.80 / 1,000 results

Rating

0.0

(0)

Developer

Scrape Smith

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Reddit Comments Scraper: Body, Author, Score & Depth

scrapers_lat/reddit-comments-scraper

Scrape every comment from any Reddit post or subreddit, including nested replies. Extract body text, author, score, awards, controversiality, depth and parentId to rebuild the thread. Export to JSON, CSV or Excel. No API key.

Scrapers Lat

Reddit Thread & Comments Scraper

datara/reddit-thread-comments-scraper

Scrape any Reddit post and its complete comment thread — including deeply nested replies — in seconds. Supports bulk URLs, cursor-based pagination for large threads, flat or nested output, score filtering, and depth capping. Perfect for sentiment analysis, AI training data, and community research.

Datara

Reddit Posts & Comments Scraper — Full Thread Extraction

maged120/reddit-scraper

Scrape Reddit posts and full comment threads from any post URL. Extract title, score, author, timestamp, and all nested comments without login.

Maged

5.0

Reddit Comment Scraper

crawlerbros/reddit-comment-scraper

Scrape Reddit Comments from a post on Reddit. Provides comment text, the parent of the thread, score and timestamps.

Crawler Bros

647

5.0

Fast Reddit Scraper

timgreen/fast-reddit-scraper

Extract Reddit posts and comments from any subreddit or search query. Fast, reliable Reddit scraping with detailed metadata including upvotes, timestamps, and nested comment threads.

Tim Green

228

1.0

Reddit Comments Scraper

scraper-engine/reddit-comments-scraper

Reddit Comments Scraper extracts comments from Reddit posts with full context. Collect comment text, authors, scores, timestamps, and reply depth for sentiment analysis, research, moderation, and data-driven content insights.