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Prepare LinkedIn post copy for localization
Collect LinkedIn post text, image captions, author references and source URLs to prepare a localization pack for your editors. Translators can keep the original copy and visual context together while working in their own tools. The Actor does not translate text or generate captions.
LinkedIn Post Scraper โ Text, Media & Engagementscrapingmonkey/linkedin-post-details-scraper
Input
Status
ID
URL
+28 fieldsTextNumberBooleanListObject
Input
๐ LinkedIn post URLs(required):https://www.linkedin.com/posts/linkedin_stay-up-to-date-on-your-linkedin-activity-activity-6124295313319538688-ILYg
Output fields
Input
Status
ID
URL
Headline
Text
Created At
Author / Type
Author / Name
Author / URL
Author / Image
Author / Followers
Images / URL
Images / Width
Images / Height
Images / Caption
Videos / URL
Videos / Thumbnail URL
Videos / Duration
Videos / Caption
Hashtags
External Links
Likes
Comments Count
Reposts
Comments / Text
Comments / Created At
Comments / Likes
Comments / Author / Type
Comments / Author / Name
Comments / Author / URL
Comments / Author / Image
Sign up on Apify01
Create your Apify account to access the LinkedIn Post Scraper โ Text, Media & Engagement.
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.
