Retrieving Latest LinkedIn Posts with Claygent: Issues and Solutions
Is there a way to get Claygent to retriev/read the latest posts of a linkedin profile? claygent seems not to be reading posts on the activity part of the profile.
Is there a way to get Claygent to retriev/read the latest posts of a linkedin profile? claygent seems not to be reading posts on the activity part of the profile.
Idea:
#Task You are doing a final QA. A candidate has been identified for a possible position as Production Manager. Please visit his Linkedin profile and check whether we can write to him in a standardised way and without further manual profile screening. Also read through his last 10 posts. EXAMPLE: If he has recently made a post about an upcoming change or self-employment, we should not write to him. In this case, your answer should be False. Here's the linkedin Profile: LINK
For LinkedIn posts, use our "Social Posts" feature instead of Claygent. It's specifically designed to find recent professional posts and works as both an import source and enrichment column. If you need Claygent for other LinkedIn data, use advanced AI models like Argon or GPT-4o for best results. However, note that data providers don't use your session cookies, so some posts may be missed compared to what you see when browsing profiles directly. Alternative: Try Apify or Phantombuster integrations, which use your LinkedIn session for better accuracy, though there's a risk of being blocked by LinkedIn.
For analyzing LinkedIn profiles and recent posts for recruitment screening, use our Social Posts feature to get the candidate's last 10 posts, then combine it with Claygent for profile analysis. Setup approach: 1. Use Social Posts to extract recent LinkedIn posts 2. Use Claygent with advanced models (Argon/GPT-4o) to analyze the profile and posts for red flags like job changes or self-employment mentions 3. Create a prompt that returns True/False based on your screening criteria Claygent excels at this "last-mile" discovery work - analyzing contextual information to make automated decisions about prospect suitability.
This happens because data providers don't use your session cookies, so results might not reflect what you see when browsing profiles directly - some posts can be missed. Try reloading those rows to see if the provider returns more complete results. For better accuracy, consider using Phantombuster or Apify integrations which use your LinkedIn session, though there's a risk of being blocked by LinkedIn.
1. Use Social Posts to extract recent LinkedIn posts => whats the action called? Social post as search brings up not the action
The action is called "Find Social Posts" - you can find it as an import source or enrichment column. Alternatively, there's also "Find Recent Posts by User or Company" which works with LinkedIn profile URLs and allows keyword filtering. Both can extract LinkedIn posts from specific profiles for your recruitment screening workflow.
Based on your screenshot, you're seeing the correct options. Use "Find Recent Posts by User or Company" - this is the action that retrieves LinkedIn posts from specific profile URLs. You can also use "Find Social Posts" as an import source to pull posts by specific individuals. Both work for your recruitment screening workflow to get the last 10 posts from LinkedIn profiles.
Got it now, is there a way to save on clay credits with any API?
But it seems that my prompt is not good enough. See screenshot, row 10 should def be a "false", because he said he left the company and is starting a recruitment business 😄 So we should not reach out to him regarding a new position. Could you help me out? https://app.clay.com/workspaces/432301/workbooks/wb_0sxg221wK42C3D8Qptn/tables/t_0sy1xkif8zQMpvv3jMB/views/gv_0sxfd3mVCt3Wm7i4tEC
Hi Stephan, I'm happy to help you out here with this problem that you are having. Let me take a closer look at your table here!
To assist you in generating a more effective AI prompt and achieving more precise answers, I suggest the following steps: 1. Utilize the "Use AI" button located in the Configuration section in Clay. This feature, known as the AI Metaprompter, allows you to describe your desired outcome and generates a personalized prompt for you. This has been specifically designed to produce refined and efficient prompts for AI enrichments. 2. Alternatively, you can also try using an external tool such as ChatGPT to explain your objectives. ChatGPT can provide valuable suggestions on how to enhance or rephrase your prompt for optimal results. 3. For the best possible outcomes, I also highly recommend utilizing advanced AI models like Argon or Neon, if available. These models have shown to produce more accurate and relevant answers. By following these steps, you will be able to craft more effective prompts and enhance the quality of your AI-generated results. Give that a try and let me know how that works!