Apify & Clay Tutorial: Building a Restaurant Dataset for Staffing Company

In this video, Hans demonstrates how to use Apifyand Clay together to build datasets for local businesses, specifically restaurants. He explains the native integration between Apify and Clay and how they can be used to create interesting and personalized campaigns. Hans walks through the process of building an imaginary campaign for a company called JobToday, focusing on finding restaurants that are hiring. He shows how to use Apify to scrape data from Indeed and import it into Clay. He then demonstrates data enrichment and personalization techniques using AI and scoring models. Finally, Hans discusses automating the campaign process and concludes the video. Takeaways Apify and Clay can be used together to build interesting and personalized datasets for local businesses. Scraping data from platforms like Indeed using Apify can provide valuable information for targeted campaigns. Clay's data enrichment and personalization features allow for customized messaging and scoring models can help filter and prioritize leads. Using AI, email templates can be generated and edited to create personalized and engaging content. Automating the campaign process can save time and ensure that new leads are continuously added to the campaign. Chapters 00:00 Introduction and Background 01:27 Overview of Apify and Clay 02:22 Building an Imaginary Campaign 06:03 Using Apify to Scrape Data 08:21 Importing Data into Clay 09:37 Data Enrichment and Personalization 14:21 Advanced Scraping with Apify 15:21 Scoring and Filtering Data in Clay 17:38 Using AI to Generate Email Content 20:56 Formatting and Editing Email Templates 26:00 Automating the Campaign Process 27:11 Conclusion