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Scrapy can be used to perform web scraping on a website consisting of several categories and pages with dynamic content by following these steps:

1. Identify the website's structure: Determine how the website is structured in terms of categories, subcategories, and the URLs used to access different pages.

2. Inspect the page source: Analyze the HTML code of the website and determine the elements that contain data of interest.

3. Create a spider: Create a spider using scrapy. A spider is a program that navigates through a website, extracts data, and follows links to other pages.

4. Define the parsing rules: Define parsing rules for the spider to extract the data of interest from the website's HTML code. These rules typically involve using XPath, CSS selectors, or Regular expressions.

5. Handle dynamic content: Handle dynamic content such as JavaScript by using additional packages like Selenium or Splash to render the dynamic content.

6. Export the data: Export the extracted data into a preferred format such as CSV, JSON, or XML.

7. Iterate through categories and pages: Iterate through multiple categories and pages by adjusting the spider's logic to follow links to subsequent pages or categories.

By following these steps, scrapy can be used to scrape data from a website consisting of several categories and pages with dynamic content.