Top-Performing Substack Posts — Most Liked & Restacked
Sorts Astral Codex Ten by Substack's own 'top' ranking and returns 20 of its top-ranked posts, each with likes, comment count, restacks, word count, publish date, audience and canonical URL. Use it to see which headlines and topics actually earned reactions before writing your own, or to pull a publication's greatest hits in a single run. Rows arrive in Substack's own top order — sort the export b
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The Substack Scraper — Newsletter Posts, Engagement & Authors Actor is ready to run with the inputs already set for "Top-Performing Substack Posts — Most Liked & Restacked". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
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The Substack Scraper — Newsletter Posts, Engagement & Authors Actor will start running based on the input automatically. You can also change all the input fields, like publications (up to 20), sort order, and more, to match your specific use case.
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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 publication, title, author, and more.
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The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Top-Performing Substack Posts — Most Liked & Restacked" task via API.
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