Accessing Web Data with Python: Web Scraping and APIs
Learn how to extract information from websites and use, design, and implement Application Programming Interfaces (APIs) for data exchange with Python.
Learn how to extract information from websites and use, design, and implement Application Programming Interfaces (APIs) for data exchange with Python.
This introductory course teaches you how to access, analyze, and retrieve data from the web using Python, one of today's most important programming languages. You'll gain essential knowledge for recognizing, analyzing, and extracting data from websites and application programming interfaces. The five-week curriculum provides a solid foundation in web data transfer principles, enabling you to identify architecture, understand commonly used expressions, and work with specialized libraries for data interpretation. The course begins with an overview of internet protocols before advancing to web scraping techniques, HTML parsing, and working with regular expressions. You'll progress to understanding web services, XML parsing, and ultimately creating your own REST APIs using Flask. Throughout the program, you'll develop practical skills for retrieving data in various formats including HTML, XML, and JSON using specialized Python modules. These abilities are increasingly valuable in today's data-driven environment, where extracting and processing information from web sources provides significant competitive advantages. Whether you're interested in data analysis, automation, or application development, this course equips you with fundamental tools for accessing and utilizing the vast data resources available on the web.
Instructors:
Didier Omar Gamboa Angulo
Jhonatan Perera Angulo
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What you'll learn
Recognize web data transfer protocols for information retrieval Access, retrieve and analyze data from websites and Application Programming Interfaces Extract data in HTML, XML, and JSON formats using regular expressions and specialized Python modules Create REST Application Programming Interfaces (APIs) using Flask Use BeautifulSoup for parsing and navigating HTML documents Work with web services to exchange data between applications Parse and process XML data for structured information extraction Implement secure API authentication and authorization methods
Skills you'll gain
This course includes:
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Graded assessments, exams
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Limited Access access
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There are 5 modules in this course
This practical course explores techniques for extracting and processing web data using Python across five comprehensive modules. The first module introduces fundamental concepts of web data transfer, covering Internet structure, HTTP protocols, and regular expressions for pattern matching. In module two, you'll dive into web scraping, learning HTML syntax and structure while mastering techniques for interpreting web data using regular expressions and the BeautifulSoup library. The third module focuses on web services and XML, teaching you to parse and extract data from this structured markup language commonly used for data exchange. Module four introduces Application Programming Interfaces (APIs), explaining their functionality, methods, and security considerations while teaching you to work with JSON data format. The final module covers REST API development using Flask and Flask-RESTful, enabling you to create your own web services and test them using Postman. Throughout the course, you'll build practical skills for accessing, retrieving, and processing web data in various formats, providing you with valuable tools for data analysis, automation, and application development in today's interconnected digital environment.
Módulo 1. Introducción a la Transferencia de Datos en la Web
Module 1
Módulo 2. Web Scrapping y HTML
Module 2
Módulo 3. Servicios Web y XML
Module 3
Módulo 4. Interfaces de Programación de Aplicaciones (APIs) y JSON
Module 4
Módulo 5. REST APIs con Flask
Module 5
Fee Structure
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Instructors
Didier Omar Gamboa Angulo
2 Courses
Engineer at Anáhuac Mayab University
Physical Engineer specialized in the development of solutions in Data Science and Technological Innovation. He currently works as a Data Scientist in the Department of Information Technology at Anáhuac Mayab University.
Jhonatan Perera Angulo
2 Courses
Master's degree at Anáhuac Mayab University
Gold Medal at the Mexican Mathematics Olympiad in 2008 and Honorable Mention at the Ibero-American University Mathematics Olympiad in 2009.
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