Practice Web Scraping Basics - 4.6 | Data Collection Techniques | Data Science Basic
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What library can you use to send HTTP requests in Python?

💡 Hint: Think of the name of the library that sounds like asking for something.

Question 2

Easy

What does BeautifulSoup help you do?

💡 Hint: It’s named after something you might find in a kitchen.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is web scraping?

  • Extracting data from APIs
  • Collecting data from websites
  • Reading CSV files

💡 Hint: Think about when you don’t have an API.

Question 2

The robots.txt file governs what?

  • True
  • False

💡 Hint: Consider it like rules for a playground.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You need to extract all product prices from an e-commerce site. Write a Python function that takes a URL as input and returns a list of prices.

💡 Hint: Identify the right HTML tags and classes where prices are stored.

Question 2

Discuss how you can handle cases when a website denies your scraping request (like implementing captchas). Share potential strategies.

💡 Hint: Think about common web defenses against bots.

Challenge and get performance evaluation