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Prepare LinkedIn article text for localization

Collect available LinkedIn article text, headings, language and source links to prepare a localization brief for your translators. Keep titles and authors attached to the text so your team can manage attribution and terminology in a separate translation workflow.

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LinkedIn Article Scraper – Text, Authors & Links
LinkedIn Article Scraper – Text, Authors & Linksscrapingmonkey/linkedin-article-details-scraper
Input
Status
Slug
URL
+27 fields
Text
Number
Boolean
List
Object

Input

📰 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

How it works

Sign up on Apify or log in

The LinkedIn Article Scraper – Text, Authors & Links Actor is ready to run with the inputs already set for "Prepare LinkedIn article text for localization". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Prepare LinkedIn article text for localization" 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 article text for localization" 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 article text for localization" task via API.

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