Extract LinkedIn Descriptions Using Claygent: A Quick Tutorial | Clay

Extract LinkedIn Descriptions Using Claygent: A Quick Tutorial

Hey Clay lover, Here is a quick tutorial to Extract Linkedin Description using Claygent. One of my client wanted me to find 20k companies linkedin description without using credits. So I came up with a cheapest way to scrape linkedin, check this out https://youtu.be/RA_CaY4zevM

7 comments

Channeled
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shivam
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nicely done, 1 other way could be to use apify if you have credits for that as well; claygents kinda fails on complex tasks
shivam
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for example : I was solving getting demographics data from this page : https://nces.ed.gov/Programs/Edge/ACSDashboard/4842510 and claygent kinda failed to get all the data (like every ethnicity was not there in responses)
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Claygent's effectiveness depends on the context and instructions provided. For complex tasks like retrieving complete demographics data, the issue might be related to the specificity of your prompt or the complexity of the webpage structure. To improve results: 1. Make your search query more specific 2. Break the task into smaller, more manageable requests 3. Double-check your prompts and search parameters 4. Use our metaprompters to craft a better prompt If you're still experiencing issues, you may want to request human assistance for more detailed guidance on optimizing your Claygent usage for complex data retrieval tasks.
Source: Claygent: AI Web Scraper [Limitless Research] - Clay University
Martin G.
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I do not fully understand your bypass workflow to avoid paying 1 credit per Linkedin company description. By using Clay "Enrich company" it costs only 1 credit to find Linkedin company description. Your ClayGen cost you also 1 credit per company description 🤔 Nishil P.
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I apologize for any confusion, but there isn't a bypass workflow to avoid paying credits for LinkedIn company descriptions in Clay. When using our "Enrich Company" action with LeadMagic, it costs 1 credit per enriched cell. This is the standard process for obtaining company data, including LinkedIn descriptions. Credits are only charged for actual data enrichment, not for prospecting. If you need more credits, you can purchase credit top-ups, which cost 50% more than your plan's typical cost per credit. If you're looking to optimize your credit usage, consider: 1. Being selective about which companies you enrich 2. Using your own API keys when possible 3. Utilizing free prospecting features before enrichment Let me know if you need more clarification on how our credit system works for company enrichment.
Sources: Leadmagic integration overview | Documentation | Clay University How Clay Credits Work Leadmagic integration overview | Documentation | Clay University
Nishil P.
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Martin G. When you connect Open AI apis it will not charge credits. just api cost which is super cheap!
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