Question: Do you know of a solution that can help me automate background checks using search engine data?

If you want to automate background checks based on search engine data, Fama is a good fit. This AI-powered online candidate screening system searches more than 10,000 online sources, including social media, to help employers avoid workplace problems and cut legal risks. It offers different options, including Fama Plus for 24-hour turnaround on nine types of misconduct and Fama 360 for a more detailed 72-hour screening. Fama is FCRA, EEOC, GDPR and SOC2 compliant. It can integrate with HRIS, ATS and background check providers, so it's a good fit for finance, health care, retail and tech employers.

Another good option is Checkr, a background screening service that uses AI to speed up hiring. It's got fast turnaround times, with 84% of checks taking 15 minutes or less, and offers smart insights that can spot trends. Checkr is focused on compliance and fairness, with adjudication streamlined for easier decision-making and an easy-to-use API. That makes it a good fit for employers that want to make data-driven decisions quickly and fairly.

For recruiters and researchers, Juicebox offers an AI-powered people search engine that can find profiles with natural language queries. It searches more than 800 million profiles in real-time and offers contact information with a 95% deliverability guarantee. Juicebox integrates with 41 ATS systems and 21 CRMs, so it's designed to help find talent with very specific skills and backgrounds. That makes it a good fit for candidate searches.

Last, Hexomatic offers a web scraping and workflow automation tool that can extract data from websites without having to write any programming code. It offers pre-built automations for things like validating email addresses and running AI jobs, and you can link it to tools like Google Drive and Google Sheets. It's flexible enough to be used for a variety of automation tasks, so it can be a useful tool for any background check process.