Prepare LinkedIn articles for a content refresh
Collect LinkedIn article text, publication dates, modification dates and links to prepare an inventory for a content refresh. Use the records to select articles for manual review and compare them with versions you already hold. Each run returns the currently available article.
Input
Output fields
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The LinkedIn Article Scraper – Text, Authors & Links Actor is ready to run with the inputs already set for "Prepare LinkedIn articles for a content refresh". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Prepare LinkedIn articles for a content refresh" task
The LinkedIn Article Scraper – Text, Authors & Links Actor will start running based on the input automatically. You can also change all the input fields, like 📰 linkedin article urls, to match your specific use case.
Receive the "Prepare LinkedIn articles for a content refresh" 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 input, status, slug, 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 "Prepare LinkedIn articles for a content refresh" task via API.
Integrate "Prepare LinkedIn articles for a content refresh" into your workflow
Connect "Prepare LinkedIn articles for a content refresh" with 100+ integrations, or run it via API or MCP.
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