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Build a Reddit thread dataset for AI

Create structured Reddit comment data with stable thread paths for AI agents, RAG, and LLM analysis.

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Reddit Comment Scraper | Replies & Monitoring
Reddit Comment Scraper | Replies & Monitoringnewbs/reddit-comment-scraper
Post URL
Post ID
Post title
Post author
+17 fields
Text
Number
Boolean
List
Object

Input

Reddit Post URLs(required):https://www.reddit.com/r/ProductManagement/comments/14g8f2h/do_you_consider_reddit_posts_in_your_user/
Maximum Comments:5
Include Nested Replies:true
Sort Comments By:top

Output fields

Post URL
Post ID
Post title
Post author
Post text
Post created at
Subreddit
Comment ID
Parent ID
Comment author
Comment text
Comment score
Comment permalink
Comment timestamp
Comment depth
Comment path
Parent path
Reply count
Post author comment
Collection source
Scraped at

How it works

Sign up on Apify or log in

The Reddit Comment Scraper | Replies & Monitoring Actor is ready to run with the inputs already set for "Build a Reddit thread dataset for AI". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build a Reddit thread dataset for AI" task

The Reddit Comment Scraper | Replies & Monitoring Actor will start running based on the input automatically. You can also change all the input fields, like reddit post urls, maximum comments, and more, to match your specific use case.

Receive the "Build a Reddit thread dataset for AI" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as post url, post id, post title, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Build a Reddit thread dataset for AI" task via API.

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