WebScraping

Context

Web scraping is the process of extracting data from websites. This process involves sending an HTTP request to the target website and extracting the desired data.

I use the website Books to Scrape to practice and improve my understanding of web scraping.

Analysis Plan

1. Task definition:

• Extract data from all categories of books highlighted on the website
• Specifically, gather information on book titles and star ratings

2. Importing Packages and Making the Request:

• Utilize the requests package to send HTTP requests to access the website
• Implement BeautifulSoup to parse the HTML response and navigate through the data structure

3. Searching links for each book category:

• Identify and extract URLs corresponding to each book category from the website

4. Code to grab all titles and star ratings from each book category:

• Iterate through each category URL to extract titles and star ratings
• Use appropriate HTML parsing and selection methods to extract the desired data accurately

5. Saving the information:

• Save the extracted data into a structured format for further analysis and processing

6. Description analysis of extracted data:

• Perform descriptive analysis on the collected data
• Explore patterns and insights derived from the extracted book titles and star ratings

Note: For a detailed presentation of this project, visit my Medium page Web Scraping: A Way to Collect Data