Build a Python web crawler from scratch

The text delves into the necessity and methods of web crawling, focusing on how data collection, despite the abundance of existing information, is essential for data scientists seeking unique insights. It provides a tutorial on web scraping using Python, specifically through the example of an online store, guiding users on how to extract information from HTML using the XPath syntax and the lxml library. The process involves identifying and extracting data from specific HTML tags and attributes, and it demonstrates how to automate the extraction of item details such as names, manufacturers, and prices from a webpage. The tutorial also covers handling pagination to scrape multiple pages, and it concludes with storing the extracted data into a CSV file using the Pandas library. Additionally, the text suggests alternatives like BeautifulSoup and Selenium for more complex web scraping tasks and introduces LogRocket for error tracking in web applications.