Map Substack Recommendations Across Two Levels

Created by

Maxime Dupré

Actor

Substack Recommendations

Map public Platformer and readtangle.com recommendations for 2 levels and 100 rows. Get publication URLs, source pages, and discovery hops in one dataset.

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Substack Recommendationsmaximedupre/substack-recommendations

Relationship ID

Source publication

Recommended publication

Recommendation

+3 fields

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

How it works

Sign up on Apify or log in

The Substack Recommendations Actor is ready to run with the inputs already set for "Map Substack Recommendations Across Two Levels". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Map Substack Recommendations Across Two Levels" task

The Substack Recommendations Actor will start running based on the input automatically. You can also change all the input fields, like public seed urls, recommendation depth, and more, to match your specific use case.

Receive the "Map Substack Recommendations Across Two Levels" 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 relationship id, source publication, recommended publication, 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 "Map Substack Recommendations Across Two Levels" task via API.