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Web Scraping Courses

Web scraping courses can help you learn data extraction techniques, HTML parsing, and how to handle APIs effectively. You can build skills in data cleaning, automation processes, and managing large datasets. Many courses introduce tools like Beautiful Soup, Scrapy, and Selenium, that support gathering and processing information from websites. You'll also explore methods for dealing with anti-scraping measures and ethical considerations, ensuring you can navigate the complexities of web data collection.

Popular Web Scraping Courses and Certifications

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Using Python to Access Web Data

    Skills you'll gain: Web Scraping, Restful API, Web Services, JSON, Extensible Markup Language (XML), Network Protocols, Application Programming Interface (API), Data Processing, Hypertext Markup Language (HTML), Python Programming, Data Manipulation, Software Installation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    44K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Python for Data Science, AI & Development

    Skills you'll gain: Data Import/Export, Programming Principles, Web Scraping, File I/O, Python Programming, Jupyter, Data Structures, Data Processing, Pandas (Python Package), Data Manipulation, JSON, Computer Programming, Restful API, NumPy, Object Oriented Programming (OOP), Scripting, Application Programming Interface (API), Automation, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    43K reviews

    Beginner · Course · 1 - 3 Months

  • D

    Duke University

    Web Scraping with Python

    Skills you'll gain: Web Scraping, Extensible Markup Language (XML), HTML and CSS, Web Development, Unstructured Data, Web Applications, Python Programming

    3.1
    Rating, 3.1 out of 5 stars
    ·
    19 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Automation and Scripting with Python

    Skills you'll gain: Web Scraping, Git (Version Control System), Scripting, Version Control, Email Automation, Software Testing, Cloud API, Automation, Restful API, Application Programming Interface (API), Scalability, Python Programming, Performance Tuning, Productivity, File Management

    3.7
    Rating, 3.7 out of 5 stars
    ·
    38 reviews

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Web Scraping Tutorial with Scrapy and Python for Beginners

    Skills you'll gain: Web Scraping, Extensible Markup Language (XML), Data Processing, Cascading Style Sheets (CSS), JSON, Data Capture, Application Programming Interface (API), MongoDB, Data Storage, Hypertext Markup Language (HTML)

    Beginner · Course · 3 - 6 Months

  • C

    Coursera

    Web Scraping With GPT: Translate Foreign News Headlines

    Skills you'll gain: Web Scraping, Real Time Data, OpenAI API, Natural Language Processing, Python Programming, Web Applications, Language Interpretation, Translation, and Studies, Application Development, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7 reviews

    Intermediate · Guided Project · Less Than 2 Hours

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    I

    IBM

    Python Project for Data Science

    Skills you'll gain: Dashboard, Pandas (Python Package), Data Presentation, Web Scraping, Jupyter, Data Analysis, Data Science, Data Processing, Data Manipulation, Python Programming, Data Collection

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Python for Everybody

    Skills you'll gain: Database Design, Data Processing, Web Scraping, Data Visualization, Relational Databases, Restful API, Web Services, SQL, Databases, Data Visualization Software, JSON, Interactive Data Visualization, Extensible Markup Language (XML), Data Structures, Programming Principles, Data Cleansing, Network Protocols, Data Analysis, Python Programming, Computer Programming

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    279K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Science Fundamentals with Python and SQL

    Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Presentation, Statistics, Data Visualization, Relational Databases, Stored Procedure, Data Import/Export, Data Science, Programming Principles, Computer Programming Tools, Web Scraping, Data Visualization Software, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    74K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free
    Free
    C

    Coursera

    Scrape and analyze data analyst job requirements with Python

    Skills you'll gain: Web Scraping, Data Visualization, Data Preprocessing, Data Cleansing, Exploratory Data Analysis, Scripting, Data Analysis, Data Manipulation, Data Import/Export, Extensible Markup Language (XML), Python Programming, Jupyter, GitHub

    3.3
    Rating, 3.3 out of 5 stars
    ·
    14 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    C

    Coursera

    Introduction to Selenium

    Skills you'll gain: Selenium (Software), Test Script Development, Test Automation, Debugging, Automation, Web Scraping, Software Testing, Web Development Tools, Test Case, Browser Compatibility, Test Data, Data Validation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    26 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Clean and analyze social media usage data with Python

    Skills you'll gain: Data Visualization, Matplotlib, Marketing Analytics, Web Scraping, Social Media Marketing, Python Programming, Social Media, Pandas (Python Package), Text Mining, Trend Analysis, Data Analysis, Data Wrangling, Data Cleansing, Seaborn, Content Performance Analysis, Jupyter

    3.9
    Rating, 3.9 out of 5 stars
    ·
    35 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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In summary, here are 10 of our most popular web scraping courses

  • Using Python to Access Web Data: University of Michigan
  • Python for Data Science, AI & Development: IBM
  • Web Scraping with Python: Duke University
  • Automation and Scripting with Python: Microsoft
  • Web Scraping Tutorial with Scrapy and Python for Beginners: Packt
  • Web Scraping With GPT: Translate Foreign News Headlines: Coursera
  • Python Project for Data Science: IBM
  • Python for Everybody: University of Michigan
  • Data Science Fundamentals with Python and SQL: IBM
  • Scrape and analyze data analyst job requirements with Python: Coursera

Skills you can learn in Software Development

Programming Language (34)
Google (25)
Computer Program (21)
Software Testing (21)
Web (19)
Google Cloud Platform (18)
Application Programming Interfaces (17)
Data Structure (16)
Problem Solving (14)
Object-oriented Programming (13)
Kubernetes (10)
List & Label (10)

Frequently Asked Questions about Web Scraping

Web scraping is the process of automatically extracting information from websites. It plays a crucial role in data collection, enabling individuals and organizations to gather large amounts of data efficiently. This data can be used for various purposes, such as market research, competitive analysis, and academic studies. Understanding web scraping is important because it empowers users to harness the vast amount of information available online, turning it into actionable insights.‎

A variety of job opportunities exist in the field of web scraping. Positions such as data analyst, data scientist, and web developer often require skills in web scraping. Additionally, roles in market research, business intelligence, and digital marketing may also benefit from expertise in this area. As businesses increasingly rely on data-driven decision-making, the demand for professionals skilled in web scraping continues to grow.‎

To effectively learn web scraping, you should focus on developing several key skills. Proficiency in programming languages such as Python or JavaScript is essential, as these languages are commonly used for writing scraping scripts. Familiarity with libraries and frameworks like Beautiful Soup, Scrapy, or Selenium can also be beneficial. Understanding HTML and CSS will help you navigate web page structures, while knowledge of data storage solutions, like databases, is important for managing the extracted data.‎

There are several excellent online courses available for learning web scraping. For beginners, the Web Scraping Tutorial with Scrapy and Python for Beginners is a great starting point. Additionally, exploring specializations like the Applied Python: Web Dev, Machine Learning & Cryptography Specialization can provide a broader context for applying web scraping skills in various domains.‎

Yes. You can start learning web scraping on Coursera for free in two ways:

  1. Preview the first module of many web scraping courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in web scraping, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn web scraping effectively, start by choosing a course that aligns with your current skill level and goals. Begin with the basics of programming, focusing on languages like Python. Practice writing simple scripts to extract data from websites, gradually increasing the complexity of your projects. Engage with online communities or forums to seek advice and share your progress, which can enhance your learning experience.‎

Web scraping courses typically cover a range of topics, including the fundamentals of HTML and CSS, the use of web scraping libraries and frameworks, data extraction techniques, and ethical considerations in web scraping. Advanced courses may also explore data storage methods, API usage, and how to handle dynamic web pages. This comprehensive approach ensures learners are well-equipped to tackle real-world web scraping challenges.‎

For training and upskilling employees in web scraping, courses like the Web Scraping Tutorial with Scrapy and Python for Beginners can be particularly effective. Additionally, specializations such as the End-to-End Web Development: UI, Databases, APIs Specialization provide a broader context that can enhance the skills of employees in various roles, making them more versatile in their data handling capabilities.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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