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Map Substack Recommendations Across Two Levels
Created by
Maxime Dupré
Map public Platformer and readtangle.com recommendations for 2 levels and 100 rows. Get publication URLs, source pages, and discovery hops in one dataset.
Substack Recommendationsmaximedupre/substack-recommendations
Relationship ID
Source publication
Recommended publication
Recommendation
+3 fieldsTextNumberBooleanListObject
Input
Public seed URLs(required)
URL(required):https://www.platformer.news+1
Recommendation depth:2
Maximum relationships:100
Output fields
Relationship ID
Source publication
Recommended publication
Recommendation
Source provenance
Discovery
Public newsletter qualification
Sign up on Apify01
Create your Apify account to access the Substack Recommendations.
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.
