I discovered that charts occur weekly and catalogued every Monday from Auguntil December 25, 1961. I have decided that I want to scrape the following data from the website: This step is crucial for making decisions about creating the web crawler as this allows me to see the page as Scrapy will see it. Remember to refresh the page by clicking the refresh button or pressing command-R. I disable JavaScript at this point by pressing shift-command-P, entering javascript and selecting the Disable JavaScript option. Open the web dev tools of your browser by right clicking and selecting inspect or pressing option-command-I. Since I am familiar with this dataset, I thought it would be a good choice to demonstrate how I could use Scrapy to build your first web crawler. This package is a python wrapper that uses Beautiful Soup to parse the html data from the Billboard site. To establish ground truth hits for my Hit Song Classifier, I used billboard.py to extract weekly chart data. I previously used Billboard Hot 100 data in a project I worked on. Identify the information you would like to extract for inclusion in your dataset. Your browser’s web development tools will be essential in helping you with this step. Try to understand what’s happening “ under the hood”. The first step to any successful web scraping project is to review the website to be scraped.
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