Reddit QA Dataset from Top Subreddits
Created by
MYM
Generate a structured dataset from top Reddit comments in AskReddit, explainlikeimfive, and NoStupidQuestions subreddits covering the past month.
Reddit Scraper - Fast, Comments,Data,Subredditsmyagizm/reddit-scraper
Title
Subreddit
Author
Flair
+10 fieldsTextNumberBooleanListObject
Input
Subreddits:AskReddit+2
Start URLs
url:https://www.reddit.com/r/pics/
Users:spez+1
Communities (metadata only):technology+1
Search queries:python developer
Search for:posts
Restrict search to subreddits:forhire
Sort:top
Time range:month
Only posts on/after (YYYY-MM-DD):2026-01-01
Only comments on/after (YYYY-MM-DD):2026-01-01
Keyword filter:hiring+1
Include NSFW:false
Include post text:true
Include comments:false
Max comments per post:20
Max comment depth:4
Include media URLs:false
Max items:100
Max posts per source:100
Max listing pages:1
Ignore start URLs:false
Max request retries:3
Delay between requests (ms):300
Debug logging:false
Output fields
Title
Subreddit
Author
Flair
Score
Comments
Created (UTC)
Text
Link
Domain
Thumbnail
Media
NSFW
Permalink
Sign up on Apify01
Create your Apify account to access the Reddit Scraper - Fast, Comments,Data,Subreddits.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
