Scrape Google Maps leads into Clay

All demos from “How to Use Clay.com in 2025 (Beginner to Advanced)”
2:582:17Scrape Google Maps leads into ClayCurrentDemonstrates how to use the Google Maps integration within Clay to query local businesses (e.g., restaurants in New York) and import them into a table with descriptions and ratings.Clay· Scrape local businesses / maps
6:541:50Build a company list with LinkedIn filters in ClayShows how to filter for specific companies using LinkedIn data within Clay, including headcount, location, and industry (agencies).Clay· Build a list from ICP filters
14:271:23Waterfall email enrichment and validationWalks through setting up a waterfall to find work emails and then validating them to ensure they are deliverable and won't bounce.Clay· Waterfall enrichment
16:061:31Find decision makers at target companiesDemonstrates how to identify specific personas like owners, partners, or chiefs within a list of companies inside Clay.Clay· Find decision-makers at target accounts
20:332:21Automated inbound lead enrichmentShows how to trigger a Clay workflow from an inbound form submission to research the lead and send an immediate notification.Clay· AI inbound qualification- Watch “How to Use Clay.com in 2025 (Beginner to Advanced)” →
Scrape local businesses / maps
6:370:52Scraping local businesses from Google Maps with ClayThe user demonstrates using the Google Maps integration in Clay to find coffee shops in a specific geographic area and then uses AI to check their reviews for payment issues.@Sales_Feed
13:473:26Scraping e-commerce product dataShows how to use Clay to scrape specific product information and pricing directly from e-commerce websites.@matthewlucero
50:043:13Enriching Google Maps leads in ClayShows how to take local business data from Google and enrich it with LinkedIn profile links and company information within a Clay table.Patrick Spychalski
2:582:17Scrape Google Maps leads into ClayCurrentDemonstrates how to use the Google Maps integration within Clay to query local businesses (e.g., restaurants in New York) and import them into a table with descriptions and ratings.@michaelsaruggia
Clay