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Collect LinkedIn posts for employer brand research

Collect text, dates, author names and image references from selected LinkedIn posts to prepare an employer branding content review. Recruitment marketers can review how chosen posts describe workplace culture and employee experience. Select the relevant post URLs before running this task.

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LinkedIn Post Scraper โ€“ Text, Media & Engagement
LinkedIn Post Scraper โ€“ Text, Media & Engagementscrapingmonkey/linkedin-post-details-scraper
Input
Status
ID
URL
+28 fields
Text
Number
Boolean
List
Object

Input

๐Ÿ“ 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

How it works

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.

Image

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