Web Scraping Tutorial with Scrapy and Python for Beginners - Identifying API Calls

The video tutorial explains how to scrape dynamic websites using Scrapy and Playwright, highlighting the challenges of loading JavaScript and other resources. It introduces a method to bypass this by identifying API calls that websites use to fetch data. The tutorial demonstrates using Chrome Dev Tools to track these API requests and extract data directly, avoiding the need to load the entire website.

What is one of the main challenges when scraping dynamic websites using tools like Scrapy and Playwright?

• Loading static HTML content

• Accessing the website's CSS files

• Handling JavaScript and other resources

• Downloading images from the website

How can you bypass loading a full web page when scraping data from a dynamic website?

• By using a faster internet connection

• By identifying and using the website's API calls

• By increasing the browser's cache size

• By disabling JavaScript in the browser

What tool is recommended for tracking network requests to identify API calls?

• Opera Dragonfly

• Firefox Developer Tools

• Safari Web Inspector

• Chrome DevTools

Which tab in Chrome DevTools is used to monitor network requests?

• Network

• Sources

• Console

• Elements

What type of file format is typically used for API responses in web scraping?

• JSON

• XML

• CSV

• HTML