Summary of Try My Price Monitoring Beginner Python Project

00:00:00 - 00:15:00

This video shows how to scrape prices from different websites using Python. First, the requirements and dependencies are discussed. Then, the web scraping functions are created. Next, the product data is scraped from each of the websites. Lastly, the results are stored in the products database.

• 00:00:00 This 1-paragraph summary explains how to begin a beginner-level project in Python using web scraping to gather data from three different websites. First, the requirements and dependencies needed are discussed. Then, the web scraping functions are created, and the products database is created and initialized. Lastly, the product data is scraped from each of the websites, and the results are stored in the products database.
• 00:05:00 In this video, a beginner's guide to scraping prices from websites with Python, the author demonstrates how to use the html.passer module and selectors to extract the name and price of a product from a web page. Next, they create a session object to keep track of the request and user agent strings, and then delete the unnecessary session object. Finally, they run the scraped data through a data tuple to convert it to a float and return it to the user.
• 00:10:00 This video shows how to create a function to scrape the prices from different stores, and how to use it to populate a database.
• 00:15:00 This beginner Python project explains how to use the "dbrow" program to access a SQLite database and use Python functions to scrape data.