Search Notes About the Substack Notes Algorithm

Created by

Maxime Dupré

Actor

Substack Notes Scraper

Search public Substack Notes for "substack notes algorithm" in relevance order and collect up to 100 unique Notes. The dataset has one row per Note with its visible text, stable ID, public URL, source, times, author and publication details, visible engagement, media, links, and thread data. This focused limit helps keep the run shorter and saves you from copying Notes by hand.

Try for free

Substack Notes Scrapermaximedupre/substack-notes

Note ID

Note text

Note URL

Source type

+10 fields

Input

Collection target(required):topicSearch

Topic phrases:substack notes algorithm

Search order:relevance

Maximum unique Notes:100

Output fields

Note ID

Note text

Note URL

Source type

Discovered from

Published at

Edited at

Collected at

Author

Publication

Engagement

Media

Outbound links

Thread

How it works

Sign up on Apify or log in

The Substack Notes Scraper Actor is ready to run with the inputs already set for "Search Notes About the Substack Notes Algorithm". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Search Notes About the Substack Notes Algorithm" task

The Substack Notes Scraper Actor will start running based on the input automatically. You can also change all the input fields, like collection target, topic phrases, and more, to match your specific use case.

Receive the "Search Notes About the Substack Notes Algorithm" 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 note id, note text, note url, 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 "Search Notes About the Substack Notes Algorithm" task via API.