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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.
LinkedIn Article Scraper โ Text, Authors & Linksscrapingmonkey/linkedin-article-details-scraper
Input
Status
Slug
URL
+27 fieldsTextNumberBooleanListObject
Input
๐ฐ LinkedIn article URLs(required):https://www.linkedin.com/pulse/what-linkedin-pulse-article-why-matters-more-than-you-kerry-baker-adlwe
Output fields
Input
Status
Slug
URL
Title
Description
Body
Body Html
Cover Image
Images / URL
Images / Alt
Images / Is Cover
Links / Text
Links / URL
Sections
Author / Type
Author / Name
Author / URL
Author / Image
Author / Followers
Publisher / Name
Publisher / URL
Publisher / Logo
Published At
Modified At
Reading Time
Word Count
Likes
Comments Count
Language
Keywords
Sign up on Apify01
Create your Apify account to access the LinkedIn Article Scraper โ Text, Authors & Links.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
