Online Course free
Web Scraping and API Fundamentals in Python

Master web data extraction with Python: Harness Web Scraping and APIs

4.9

808 reviews on
13696 students already have enrolled
  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Skill level:

Basic

Duration:

4 hours
  • Lessons (4 hours)
  • Practice exams (23 minutes)

CPE credits:

7
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of professionals must earn to maintain their licenses and stay current with regulations and best practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's official website: www.nasbaregistry.org

Accredited:

certificate

What You Learn

  • Master API fundamentals and Python’s requests for web data collection.
  • Learn to extract website data using Beautiful Soup and requests-HTML.
  • Acquire HTML and CSS basics to support effective web scraping.
  • Handle JavaScript-generated content and common roadblocks.
  • Scrape third-party data ethically and in compliance with legal standards.

Topics & tools

pythontheoryprogrammingjupyterapisweb scrapinghtmlbeautifulsoupindustry specialization

Your instructor

Course OVERVIEW

Description

CPE Credits: 7 Field of Study: Information Technology
Delivery Method: QAS Self Study
Web Scraping and API Fundamentals in Python offers an introduction to the techniques of data extraction from the web. In this course, you will learn how to use one of the most powerful tools on the Internet – APIs. We will also discuss in depth how to obtain information directly from websites using the Beautiful Soup Python package. There will be a short HTML crash course for those not familiar with it. Finally, we will introduce the Requests-HTML package in order to extract dynamically generated JavaScript content.

Prerequisites

  • Python (version 3.8 or later), pandas library, and a code editor or IDE (e.g., Jupyter Notebook, Spyder, or VS Code)
  • Basic familiarity with Python programming is required.

Advanced preparation

Curriculum

55 lessons 47 exercises 3 exams

Free preview

What does the course cover

1.1 What does the course cover

4 min

What is Web Scraping

1.2 What is Web Scraping

3 min

Ethics of Scraping

1.4 Ethics of Scraping

3 min

Setting up the Environment

2.1 Setting up the Environment

1 min

Installing the Necessary Packages

2.2 Installing the Necessary Packages

1 min

API overview

3.1 API overview

3 min

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4.9

Based on 808 reviews

#1 most reviewed

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94%

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successfully change

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9 in 10

people walk away career-ready

with practical data and AI skills.

ACCREDITED certificates

Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global institutions.

Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities employers value most.

  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners
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How it WORKS

  • Lessons
  • Exercises
  • Projects
  • Practice Exams
  • AI Mock Interviews

Lessons

Learn through short, simple lessons—no prior experience in AI or data science needed.

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Exercises

Reinforce your learning with mini recaps, hands-on coding, flashcards, fill-in-the-blank activities, and other engaging exercises.

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Projects

Tackle real-world AI and data science projects—just like those faced by industry professionals every day.

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Practice Exams

Track your progress and solidify your knowledge with regular practice exams.

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AI Mock Interviews

Prep for interviews with real-world tasks, popular questions, and real-time feedback.

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Student REVIEWS

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