Build a Reddit RAG corpus
Turn Reddit posts and comments into self-contained Markdown chunks with stable IDs and metadata for vector databases and RAG pipelines.
Reddit Monitor & Scraper - Brand Mentions, Signalswebdata_labs/reddit-signal-scraper
Type
Chunk ID
Title
Markdown
+4 fieldsTextNumberBooleanListObject
Input
Subreddits to monitor:programming
Sort order:top
Time window:week
Earliest post date:7d
Skip comments:false
Maximum comments per post:50
Maximum comment depth:8
Output format:rag-markdown
Maximum output rows:25
Output fields
Type
Chunk ID
Title
Markdown
Messages
Metadata
Created
Reddit URL
Sign up on Apify01
Create your Apify account to access the Reddit Monitor & Scraper - Brand Mentions, Signals.
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.
