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Reddit AI Training Data: High-Engagement Machine Learning Posts

Collect high engagement posts from r/MachineLearning, r/artificial and r/OpenAI as structured JSON, ready for LLM fine tuning and RAG pipelines. Every post comes with score, upvote ratio and comment count, so you can filter by real community signal instead of guessing.

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Reddit Scraper: Posts, Comments, Search & Subreddits
Reddit Scraper: Posts, Comments, Search & Subredditsmakework36/reddit-scraper
Subreddit
Title
Author
Upvotes
+4 fields
Text
Number
Boolean
List
Object

Input

Subreddits:MachineLearning+2
Max posts:40
Sort by:top
Time filter:week

Output fields

Subreddit
Title
Author
Upvotes
Comments
Type
URL
Created

How it works

Sign up on Apify or log in

The Reddit Scraper: Posts, Comments, Search & Subreddits Actor is ready to run with the inputs already set for "Reddit AI Training Data: High-Engagement Machine Learning Posts". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Reddit AI Training Data: High-Engagement Machine Learning Posts" task

The Reddit Scraper: Posts, Comments, Search & Subreddits Actor will start running based on the input automatically. You can also change all the input fields, like subreddits, max posts, and more, to match your specific use case.

Receive the "Reddit AI Training Data: High-Engagement Machine Learning Posts" 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 subreddit, title, author, 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 "Reddit AI Training Data: High-Engagement Machine Learning Posts" task via API.

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