Reddit Comments Deep Scraper
Pricing
from $0.001 / result
Scrape Reddit comment threads for lead discovery, sentiment analysis, market research, and AI datasets. Extract nested replies, scores, authors, timestamps, and parent IDs.
Pricing
from $0.001 / result
Rating
0.0
(0)
Developer
LIAICHI MUSTAPHA
Maintained by CommunityActor stats
0
Bookmarked
32
Total users
0
Monthly active users
19 days ago
Last modified
Categories
Share
Paste Reddit post URLs to scrape their full comment threads. Example: https://www.reddit.com/r/SaaS/comments/abc123/post_title/
Subreddit names without r/. Use this for monitoring communities such as SaaS, startups, MachineLearning, LocalLLaMA, or marketing.
Search Reddit for matching posts, then scrape their comments. Useful for brand monitoring, competitor research, and pain-point discovery.
How to sort posts when scraping a subreddit (only applies to subreddits, not direct post URLs).
Time range when sorting by 'top' or 'controversial'.
How many posts to process from each subreddit. Keep this low for tests and scheduled monitoring.
Maximum total comments to save per post, including nested replies. Use 0 for unlimited.
How deep to traverse comment reply chains. 1 = top-level only, 2 = replies, 3+ = full tree.
Whether to extract reply threads (nested comments). Disable for faster, flatter output.
Only include comments with at least this many upvotes. 0 = include all (including negatives).
Only include comments created after this date. Format: YYYY-MM-DD. Leave empty for no limit.
Attach parent post info (title, score, author, flair) to each comment record.
Filter out comments where the body is [deleted] or [removed].
Optional but recommended. Use a Reddit app client ID for stable access through oauth.reddit.com.
Optional but recommended. Stored as an encrypted secret input on Apify.
Optional custom Reddit API User-Agent. Example: python:my-reddit-researcher:1.0 (by /u/your_username)
