Substack Analytics – Track Likes, Comments & Post Stats
Akram
Analyze any Substack's engagement: likes, comments, publish dates and word counts for recent posts. Benchmark newsletters and export to CSV or JSON.
Input
Output fields
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The Substack Newsletter Scraper Actor is ready to run with the inputs already set for "Substack Analytics – Track Likes, Comments & Post Stats". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Substack Analytics – Track Likes, Comments & Post Stats" task
The Substack Newsletter Scraper Actor will start running based on the input automatically. You can also change all the input fields, like newsletter urls, post scraping mode, and more, to match your specific use case.
Receive the "Substack Analytics – Track Likes, Comments & Post Stats" 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 newsletter, post title, date, 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 "Substack Analytics – Track Likes, Comments & Post Stats" task via API.
Integrate "Substack Analytics – Track Likes, Comments & Post Stats" into your workflow
Connect "Substack Analytics – Track Likes, Comments & Post Stats" with 100+ integrations, or run it via API or MCP.
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