Opleiding: Webscraping with Selenium for beginners
In this one-day training, you will learn the fundamentals of web scraping and build your own scraper step by step. You will practice analyzing websites, fetching data with Python, and dealing with common challenges such as pagination, dynamic content and IP blocking. The focus is on practical, hands-on learning so you can immediately apply what you learn in your own work.
What you learn
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What web scraping is and when to use it.
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Working with HTTP requests and HTML structures.
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Extracting data using BeautifulSoup.
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Storing scraped data in CSV or Excel.
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Introduction to scraping dynamic websites with Selenium.
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Ethical and legal principles of web scraping.
After this course you will be able to:
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Build a simple web scraper in Python.
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Collect and store data efficiently from websites.
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Debug and troubleshoot common scraping issues.
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Recognize when scraping is or is not allowed from an ethical and legal perspective.
For whom
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Data analysts and researchers.
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Marketers and growth specialists.
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Professionals who want to collect online data without manual copy-paste.
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Anyone who wants a practical introduction to web scraping with Python.
Prerequisites
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No prior web scraping experience required.
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Basic knowledge of Python is recommended, but not strictly required.
Content (global program)
Part 1
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Introduction to web scraping.
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Use cases, possibilities and limitations.
Part 2
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Understanding web pages.
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HTTP requests, HTML structure, inspecting pages with developer tools.
Part 3
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Extracting data with Python.
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Using requests and BeautifulSoup to fetch and parse data.
Part 4
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Storing data.
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Exporting scraped data to CSV and Excel.
Part 5
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Dynamic websites and Selenium.
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Introduction to scraping pages with JavaScript-driven content.
Part 6
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Robust scraping in practice.
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Pagination, handling errors, IP blocking and polite scraping.
Part 7
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Ethical and legal aspects.
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Robots.txt, terms of service, best practices and Q&A.
