Find people from Linkedin using Clay

To find people from LinkedIn using Clay, follow these steps: 1. Go to your Clay workspace 2. Click "Create new" → "Table" → "Find people" 3. Use the Find People search interface to specify your search parameters such as: • Job titles • Location • Other relevant criteriaYou can also use our template to search LinkedIn profiles for specific keywords: 1. Copy our free template 2. Input full names and company names of the people you're looking for 3. Clay will automatically find the matching LinkedIn profilesOnce you've found your target profiles, you can import the search results into a new table for further analysis and enrichment. Source: Claybooks: Search LinkedIn profiles for target keywords | Clay.com

There could be a few reasons for this discrepancy: 1. By default, our Find People feature uses smart matching that automatically includes similar job titles. However, if you have "Exact Keyword Match" toggled on, it will only show results that exactly match "Growth" in the title. 2. For better results, try these tips: • Toggle off "Exact Keyword Match" to include similar variations • Use the company's LinkedIn URL instead of the domain, as this typically provides more accurate and comprehensive results • Make sure you have the correct company table and data field linked in your searchBeing as specific as possible in your search criteria will generally yield better results over the long term. Sources: Find AI, Improved People Search, JSON Inputs, Weighted Round Robin, New Integrations, and more! Find People [Clay 101] - Clay University

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Hi Martin G.! This thread was recently closed by our Support team. If you have a moment, please share your feedback:

Hey sorry, it seems the answer didn't get through. Reposting Bo's response below: Hey Martin, so Clay does not receive data directly from LinkedIn, but rather through third-party data providers that scrape LinkedIn. This is because Sales Nav technology is proprietary to LinkedIn. You are correct that because of these limitations, people data quality results may appear better in Sales Nav rather than Clay. Our data providers use a multitude of ways to access people and company data. For the most part, though, we don't use your cookie/login data. This means that we could miss some information here and there, especially if there are privacy restrictions in place for certain profiles. This would mean that your logged-in profile has access to it, but our data providers may not. Sales Nav has access to private profiles, which is also why you might find better data quality results here. All this being said, we're continuously working on improving our search algorithm and building the best growth tool possible, and we are always looking for feedback! If you have specific examples of the differences between your search results, please do share, and I'd be more than happy to pass your feedback along to our engineering team. What I'd suggest here is to either supplement your data with Claygent or use extra tools found in the enrichment panel by clicking the "add enrichment" button at the top right of the page, like Apify or Phantombuster. Those tools will, however, use your session cookies, and that can get you kicked out by LinkedIn. Here's how to do the Claygent solution:

1. First, run a lookup to your people table to spot the missing values 2. Click "add enrichment" (top right) 3. Pick Claygent > Select GPT 4o 4. Create a metaprompt like: "Find me the {roles} at {company} that are currently working there - I need their linkedin.com/in URL, full name and job title. Get as many as possible. Leave empty if none found", generate prompt, tweak it if you see missing parts 5. Choose JSON output and generate from prompt 6. Add a run condition so it only runs when the lookup came up empty 7. Use "write to other table" to send the new finds to your people table (send: full name, job title, linkedin.com/in URL, and company domain) 8. Then you can grab their emails!

As a side note, we've also recently added a "Leave Feedback" button. That's accessible by left-clicking on a row and adding that information. Our team will be able to update the data.