Python Web Scraping Made Simple: Building a Basic Web Scraper

Regular ExpressionsRegular Expressions

A regular expression is a sequence of characters that defines a search pattern. The characters in a regular expression can be a combination of literals (i.e., the actual characters you want to match) and special characters, called metacharacters, with special meanings.

For example, the metacharacter can match any character, while "*" means "zero or more of the preceding character".

The re module can work with regular expressions in Python. The most commonly used functions in this module are search() and findall(), which can match patterns in strings.


  1. Import the re library;
  2. Find all tags matching the country-name class;
  3. Find all tags matching the country-capital class.


Congratulations on completing your tutorial on building a basic web scraper in Python! This is a powerful tool that can help you extract valuable data from websites, but it's important to use it responsibly.

When using a web scraper, it's important to be mindful of the legal and ethical implications of scraping data. Many websites have terms of service or robots.txt files that prohibit scraping, so you should make sure you have permission to scrape a website before doing so. You should also be mindful of the amount of traffic you are generating on a website, as scraping too frequently or scraping too much data can put a strain on the website's servers.

It's also important to use the data you collect wisely. When scraping personal data, you should be aware of privacy laws and regulations, and you should only use the data for the purposes for which it was collected.

In short, web scraping is a powerful tool that can help you extract valuable data, but it's important to use it responsibly and within the laws and ethical guidelines. Keep working hard, and best of luck on your future projects!

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Section 1. Chapter 7

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