Hi all, Hope you're well. I work for a group leadership coaching software. Hoping to understand whether Clay would be a good fit for my specific use-case. We are trying to understand the long-term impact of our programs on our participants. Hoping to scrape employee data from our Partner organizations (maybe on LinkedIn) to see if we can compare historical employee retention rates or speed-to-promotion for our participants vs a control group of non-participants. Would Clay be able to help me with this?
Yes, Clay can help with LinkedIn data scraping for your analysis. You can use Claygent, our AI web scraper, to extract employee information from LinkedIn profiles including work experience, job history, and career progression data. For LinkedIn data collection, you have several options: ⢠Direct LinkedIn integration - Clay integrates with LinkedIn's API if you have access ⢠Sales Navigator integration - Import up to 2,500 results per search using Sales Navigator URLs ⢠Claygent scraping - Extract detailed profile information including work experience and career timeline data This would allow you to gather historical employment data to compare retention rates and promotion speeds between your program participants and control groups.
