The method of using Scrapy to scrape content from multi-level web pages.

Scrapy is a Python framework used for writing web crawlers. It offers a simple yet powerful way to scrape content from multi-level web pages.

Below are the general steps for Scrapy to scrape content from multi-level web pages:

1. Create a new Scrapy project by running the command scrapy startproject project_name, where project_name is the desired name of your project.
2. Create a Spider: run the command scrapy genspider spider_name website_url, where spider_name is the desired name for your spider, and website_url is the URL of the webpage you want to crawl.
3. In the Spider’s parse method, handle the content of the first level of web pages: Within the parse method, you can utilize selectors provided by Scrapy to choose and extract the desired data. XPath or CSS selectors can be used to locate webpage elements.
4. Extract links from the first level and send requests: Use a selector to extract links from the webpage, and use yield scrapy.Request(url, callback) to send the request. The URL is the link to be requested, and the callback is the function to handle that link.
5. Handle the next level of web content in the callback function: In the callback function, you can use selectors again to handle the next level of web content. Repeat steps 3 and 4 until you have collected the desired data.
6. Saving data: In the callback function, you can store the extracted data in a database, file, or another location. You can utilize the Item object provided by Scrapy to save the data.
7. Run the spider: Start the spider by running the command “scrapy crawl spider_name” in the terminal, where spider_name is the name of your spider.

The above is the general process for using Scrapy to scrape content from multi-level websites. You can adjust and expand these steps based on your specific needs and the structure of the website.