Web Scraping and API Fundamentals in Python
Learn web scraping! Automate data collection using Beautiful Soup, requests-html & APIs. Master data extraction techniques.
Course Content
Web Scraping and API Fundamentals in Python is an all-levels Udemy course taught by 365 Careers. It runs 3h 47m, is taught in English, and includes a certificate of completion. Learners rate it 4.5 out of 5 from 1,504 reviews, with 11,346 students enrolled. It is a paid course, last updated January 2022.
Unlock the Power of Data: Web Scraping & API Fundamentals in Python
Are you ready to harness the vast potential of online data? Tired of tedious manual data entry? This comprehensive course, Web Scraping and API Fundamentals in Python, equips you with the skills to automatically collect valuable information from the internet, giving you a competitive edge in today's data-driven world.
What You'll Learn:
- Web Scraping Techniques: Discover how to extract data from websites using Python, even when information isn't readily available through APIs. Learn to navigate HTML, JavaScript, and CSS to gather data from any website.
- API Integration: Master the fundamentals of working with APIs (Application Programming Interfaces). Understand GET and POST requests and the JSON data format – essential for accessing structured data.
- Data Extraction with Powerful Libraries: Become proficient with industry-leading libraries like Beautiful Soup and requests HTML for efficient and reliable web scraping.
- HTML Basics (Optional): Gain a foundational understanding of HTML to enhance your scraping capabilities.
- Real-World Scraping Projects: Apply your knowledge through practical projects, including:
- Data collection and structuring from a Rotten Tomatoes movie ranking list.
- Multi-page scraping techniques for efficient data extraction.
- Troubleshooting & Avoiding Roadblocks: Learn to overcome common challenges in web scraping, such as handling request headers, cookies, login systems, and JavaScript-generated content.
- Data Structuring & Automation: Automate repetitive reporting tasks, from daily updates to comprehensive quarterly and yearly reports.
- Data Science Applications: Acquire skills crucial for data science, enabling you to gather data from external sources like webpages and APIs for analysis.
Who is this course for?
This course is ideal for:
- Data Analysts: Automate data collection and streamline reporting processes.
- Data Scientists: Access and structure data from diverse online sources.
- Business Professionals: Gather competitive intelligence and gain insights from online data.
- Anyone seeking to automate data extraction tasks.
Meet Your Instructor:
This course is led by Andrew Treadway, a Senior Data Scientist at New York Life Insurance Company. Andrew holds a Master's in Computer Science with Machine Learning from Georgia Tech and is the author of the widely-used yahoo_fin package for scraping historical stock data.
Course Features:
- Hands-on Approach: Focus on practical application with plenty of homework exercises, downloadable files, and notebooks.
- Comprehensive Content: Build from basic concepts to advanced techniques.
- 30-Day Money-Back Guarantee: Enroll with confidence – if the course isn't a fit, you're protected.
Ready to start collecting data? Click "Buy Now" and join the 365 Data Science Team in unlocking the power of web scraping!
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