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Web Scraping with Python + BeautifulSoup
Danilo Lessa Bernardineli
Danilo Lessa Bernardineli
By the end of this project, you will have a grasp of the essentials for extracting data from most of the websites on the internet. This includes the usage of BeautifulSoup for getting elements through patterns, Browser DevTools for pattern investigation, and...
Read more
By the end of this project, you will have a grasp of the essentials for extracting data from most of the websites on the internet. This includes the usage of BeautifulSoup for getting elements through patterns, Browser DevTools for pattern investigation, and...
Read more
By the end of this project, you will have a grasp of the essentials for extracting data from most of the websites on the internet. This includes the usage of BeautifulSoup for getting elements through patterns, Browser DevTools for pattern investigation, and Requests for managing the interface with the servers. This course will be useful for anyone dealing with extracting web data from pages and APIs in a regular basis
This guided project is for people that would benefit of being able to extract data from the internet through Python. This of interest to marketers, analysts and data scientists. Basic Python is recommended.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/cqi3n8/web
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Ideal for individuals in marketing, data analysis, and data science seeking web data extraction skills
Leverages in-demand tools like BeautifulSoup, Browser DevTools, and Requests
Hands-on, project-based approach reinforces learning
Taught by experienced instructors Danilo Lessa Bernardineli
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Activities
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Web Scraping with Python + BeautifulSoup.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Web Scraping with Python + BeautifulSoup will develop knowledge and skills
that may be useful to these careers:
Web Scraper
Web Scraper
A Web Scraper is a person who uses tools to extract data from websites. The Web Scraping with Python + BeautifulSoup course can provide a comprehensive foundation in the art of web scraping through BeautifulSoup, as well as the Requests library for managing the interface with web servers.
Web Developer
Web Developer
A Web Developer creates visually appealing websites that work effectively and seamlessly on all devices. The Web Scraping with Python + BeautifulSoup course aligns with this because it teaches you how to extract data from websites, which is a key skill for a Web Developer.
Data Scientist
Data Scientist
A Data Scientist uses data to build models and algorithms that help businesses solve problems. The Web Scraping with Python + BeautifulSoup course may be useful as it teaches you how to extract data from websites, which is a key skill for a Data Scientist.
Data Analyst
Data Analyst
A Data Analyst collects, cleans, and analyzes data to help businesses make informed decisions. The Web Scraping with Python + BeautifulSoup course may be useful as it teaches you how to extract data from websites, which is a key skill for a Data Analyst.
Data Engineer
Data Engineer
A Data Engineer builds and maintains data pipelines that collect, clean, and store data. The Web Scraping with Python + BeautifulSoup course may be useful as it teaches you how to extract data from websites, which can assist you in getting started with data engineering.
Marketing Analyst
Marketing Analyst
A Marketing Analyst uses data to understand the effectiveness of marketing campaigns. The Web Scraping with Python + BeautifulSoup course may be useful as it teaches you how to extract data from websites, which is a key skill for a Marketing Analyst.
Business Analyst
Business Analyst
A Business Analyst uses data to help businesses improve their performance. The Web Scraping with Python + BeautifulSoup course may be useful as it teaches you how to extract data from websites, which is a key skill for a Business Analyst.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software systems. The Web Scraping with Python + BeautifulSoup course may be useful as it teaches you how to extract data from websites, which is a skill that can be applied to software development.
Content Strategist
Content Strategist
A Content Strategist plans and creates content for websites and other digital products. The Web Scraping with Python + BeautifulSoup course may be useful as it teaches you how to extract data from websites, which can help you understand what content is most effective.
Search Engine Optimizer
Search Engine Optimizer
A Search Engine Optimizer optimizes websites to improve their ranking in search results. The Web Scraping with Python + BeautifulSoup course may be useful as it teaches you how to extract data from websites, which can help you understand how search engines work.
Digital Marketer
Digital Marketer
A Digital Marketer uses digital channels to promote products and services. The Web Scraping with Python + BeautifulSoup course may be useful as it teaches you how to extract data from websites, which can help you understand how to target your marketing campaigns.
Information Architect
Information Architect
An Information Architect designs and organizes the structure and content of websites. The Web Scraping with Python + BeautifulSoup course may be useful as it teaches you how to extract data from websites, which can help you understand how websites are structured.
Market Researcher
Market Researcher
A Market Researcher collects and analyzes data to understand consumer behavior. The Web Scraping with Python + BeautifulSoup course may be useful as it teaches you how to extract data from websites, which can help you understand how consumers interact with websites.
User Experience Designer
User Experience Designer
A User Experience Designer designs and evaluates the user experience of websites and other digital products. The Web Scraping with Python + BeautifulSoup course may be useful as it teaches you how to extract data from websites, which can help you understand how users interact with websites.
Journalist
Journalist
A Journalist gathers and reports news and information. The Web Scraping with Python + BeautifulSoup course may be useful as it teaches you how to extract data from websites, which can help you find and verify information for your stories.
For more career information including salaries, visit:
OpenCourser.com/course/cqi3n8/web
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Web Scraping with Python + BeautifulSoup.
This cookbook offers a collection of practical recipes and solutions for web scraping tasks. It provides step-by-step instructions and examples, making it valuable as a reference tool.
Save
Specializes in BeautifulSoup, the Python library used in this course. It provides in-depth coverage of the library's features and use cases, making it a useful reference tool.
Introduces data science fundamentals, including data manipulation, visualization, and machine learning. It provides a broader context for web scraping and data extraction within the data science domain.
Introduces Python for data analysis and manipulation. It provides a solid foundation in data science principles, which can complement the web scraping focus of this course.
Covers natural language processing (NLP) techniques in Python, providing insights into text analysis and understanding. It can enhance the web scraping process by enabling the extraction of meaningful insights from text data.
Save
While this book focuses on web scraping with R, it provides valuable insights into web scraping principles and techniques. It can be useful for learners who are familiar with R or want to explore alternative approaches.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/cqi3n8/web
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Instructor
Danilo Lessa Bernardineli
Good to know
Ideal for individuals in marketing, data analysis, and data science seeking web data extraction skills
Leverages in-demand tools like BeautifulSoup, Browser DevTools, and Requests
Hands-on, project-based approach reinforces learning
Taught by experienced instructors Danilo Lessa Bernardineli
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