Web Scraping and Data Automation with Apify and Make

Extracting structured data from websites and routing it into your applications is an essential skill for modern business automation and data research. This text-based guide teaches you how to collect web data efficiently with Apify and automate data delivery using Make workflows. You will begin with essential terminology and the core mechanics of web scrapers, data parsers, and API connections. From there, you will learn how to configure specialized scraping actors, manage proxies and rate limits responsibly, and transform extracted data. Through written examples and step-by-step walkthroughs, you will connect Apify to Make scenarios to store, process, and distribute data automatically. What you'll learn: - Understand foundational web scraping concepts, HTTP requests, selectors, and structured data formats - Configure and run Apify actors to extract information from modern web pages - Build automated data scenarios in Make using webhooks and direct integrations - Clean, filter, and restructure incoming web data payloads - Implement error handling, pagination logic, and retry rules for reliable pipelines - Apply ethical scraping best practices, including rate limiting and proxy basics The material starts with fundamental definitions and progresses logically through scraper setup, pipeline construction, and automated workflow design. This course is created for beginners, requiring no prior coding experience or advanced technical background. Start reading today to turn manual web research into reliable automated pipelines.