Map Newsletter Recommendations from Two Publications

Created by

Maxime Dupré

Actor

Substack Recommendations

Map recommendations from Platformer and readtangle.com for 1 level and 50 rows. Get publication URLs, source pages, and discovery hops in a 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:1

Maximum relationships:50

Output fields

Relationship ID

Source publication

Recommended publication

Recommendation

Source provenance

Discovery

Public newsletter qualification

How it works

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

Start the "Map Newsletter Recommendations from Two Publications" 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 Newsletter Recommendations from Two Publications" 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 Newsletter Recommendations from Two Publications" task via API.