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

Описание: 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