Web Scraping Practice Exam
Web Scraping Practice Exam
About Web Scraping Exam
The Web Scraping Certification proves you have the skills to collect data from websites using code. It helps you find and extract useful online information for research, business, or tech projects. This certificate is useful for getting jobs in data analytics, digital marketing, software development, or market research. Companies value certified professionals who can gather web data for insights and automation. The certification boosts your resume and helps you stand out in data-driven roles. Whether you are new to tech or growing your career, this certification helps you gain skills that are in high demand in today’s digital world.
Who should take the Exam?
This exam is ideal for:
- Data Analysts
- Software Developers
- Web Developers
- Market Researchers
- SEO Analysts
- Business Analysts
- Data Engineers
- Digital Marketing Professionals
- Freelancers working on data collection
- Students or job seekers aiming for tech roles
Skills Required
- Extracting data from HTML pages
- Writing scripts to automate scraping
- Using libraries like BeautifulSoup or Selenium
- Handling pagination and dynamic content
- Cleaning and storing scraped data
- Respecting web scraping ethics and laws
- Bypassing basic anti-scraping tools
- Structuring data into CSV, JSON, or databases
- Working with APIs and headers
- Debugging web scraping issues
Knowledge Gained
- How web scraping works in real-world use
- Writing code to scrape websites
- Automating repetitive online tasks
- Handling AJAX and JavaScript-loaded content
- Parsing HTML data
- Managing sessions, headers, and cookies
- Exporting data into useful formats
- Using scraping tools and Python libraries
- Avoiding common scraping mistakes
- Understanding web scraping ethics and legal issues
Course Outline
The Web Scraping Exam covers the following topics -
Domain 1 - Introduction to Web Scraping
- What is web scraping?
- Use cases and benefits
Domain 2 - HTML and Website Structure
- Tags, elements, and attributes
- DOM basics
Domain 3 - Scraping Libraries and Tools
- BeautifulSoup
- Requests
- Selenium
- Scrapy (intro level)
Domain 4 - Data Extraction Techniques
- Locating elements
- Handling lists and tables
- Navigating multiple pages
Domain 5 - Working with Dynamic Content
- AJAX handling
- JavaScript-rendered data
Domain 6 - Storing Scraped Data
- Saving to CSV, JSON, Excel
- Writing to databases
Domain 7 - Best Practices and Ethics
- Robots.txt and site rules
- Avoiding IP bans
- Legal considerations
Domain 8 - Advanced Techniques
- CAPTCHA handling basics
- Browser automation
- API scraping
Domain 9 - Troubleshooting
- Debugging scraping scripts
- Handling exceptions
