Web Scraping Tutorial with Scrapy and Python for Beginners - Saving Data Locally to Excel ( XLSX ) Files

The video tutorial explains how to save scraped data locally using Excel files in Python. It covers the installation of the Openpyxl package, creating and managing Excel workbooks, processing items, and saving data. The tutorial is structured in steps, starting with setting up the environment, creating a workbook, processing data, and finally saving the data. The video also reviews the entire process and discusses its application in projects.

How can you access the attributes of the currently running spider in the pipeline?

What are the two columns defined in the pipeline for storing scraped data?

What is the purpose of the 'append' method in the context of adding data to the Excel sheet?