Substack recommendation network scraper example
Created by
Stas Persiianenko
Scrape public Substack recommendations into a clean newsletter graph with source and target URLs, authors, blurbs, and traversal depth.
Substack Recommendations Network Scraperautomation-lab/substack-recommendations-network-scraper
Source publication
Recommended publication
Target author
Depth
+8 fieldsTextNumberBooleanListObject
Input
Publication URLs(required)
url:https://newsletter.pragmaticengineer.com
Maximum traversal depth:1
Maximum publications:10
Maximum recommendation edges:100
Include publication metadata:true
Output fields
Source publication
Recommended publication
Target author
Depth
Source URL
Target URL
Target description
Recommendation blurb
Blurb attribution
Source page
Edge ID
Scraped at
Sign up on Apify01
Create your Apify account to access the Substack Recommendations Network Scraper.
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.
