LinkedIn article and newsletter issue extractor
Automation Lab
Extract a concrete public LinkedIn issue into structured article text, author, date, images, canonical URL, reactions, and comments.
Input
Output fields
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The LinkedIn Newsletter Scraper Actor is ready to run with the inputs already set for "LinkedIn article and newsletter issue extractor". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "LinkedIn article and newsletter issue extractor" task
The LinkedIn Newsletter Scraper Actor will start running based on the input automatically. You can also change all the input fields, like 🔗 newsletter or issue urls, extract linked issues, and more, to match your specific use case.
Receive the "LinkedIn article and newsletter issue extractor" 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 type, title, author, 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 "LinkedIn article and newsletter issue extractor" task via API.
Integrate "LinkedIn article and newsletter issue extractor" into your workflow
Connect "LinkedIn article and newsletter issue extractor" with 100+ integrations, or run it via API or MCP.
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