Home

Clay Announcements
Clay Support
Discuss Anything
Feedback & Requests
GTM Career Advice
Introduce Yourself
Member Spotlight
Share Content and Events
Share Full-time Jobs
Share Part Time Jobs
Share Tables, Tools, and Workflows

Community Guidelines

Explore Events
Clay Cup

Powered by Tightknit

Understanding LinkedIn Post Extraction Credit Usage | Clay

Understanding LinkedIn Post Extraction Credit Usage

·Aug 05, 2025 11:01 AM·

Hi, I am new to clay. I am trying to run this enrichment to extract text of recent linkedin post of a prospect. The enrichment shows it will use 0.5 credits/row, however when I go to the run option - it shows estimated ~5 credits/row will be used. What am I missing?

3 comments

· Sorted by Oldest

Clay
APP
·
·
The discrepancy between the displayed 0.5 credits/row and the estimated ~5 credits/row occurs because AI enrichments have variable credit costs based on the complexity and length of the content being processed. When extracting LinkedIn post text, longer or more complex posts require more tokens to process, which increases the credit cost beyond the base rate. The system shows you the estimated higher cost upfront to ensure you have sufficient credits for processing. You can control this by editing your AI column and updating the "Clay Credit Budget" to match your preferred maximum spend per row. This doesn't mean every row will cost the maximum - extra credits are only consumed when the content requires it. To optimize costs, consider using filtered views to run enrichments only on the rows you need, as you'll only be charged for rows in your current view.
Ayush S.
·
·
Currently this enrichment brings all 10-15 linkedin posts posted or shared by the user. Is there a way to only bring the most recent linkedin post posted by the user?
Clay
APP
·
·
Yes, you can limit the results to get only the most recent post. In the "Social Posts" enrichment settings, look for a "Max number of results" parameter and set it to 1. Alternatively, you can use the "Get a person's professional post reactions" action which returns the most recent reactions from a professional profile, with a default of 10 results but you can adjust the "Max reactions" parameter. This will help you focus on just the latest content instead of pulling 10-15 posts.
Source: Professional posts integration | Documentation | Clay University