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Data Science

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Data Analysis

Web Data Collection Techniques (Web Crawling) Used in Practice

Explanation of web data collection techniques using Python. Explanation of web data scraping using the latest technologies.

(5.0) 1 reviews

31 learners

  • javaspecialist
Web Crawling
Web Scraping
browser-automation
Selenium
Beautifulsoup

What you will learn!

  • Web data collection

  • Synchronous and Asynchronous Data Collection

  • Browser automation

  • Multimedia Data Collection

  • Web crawling

Collect and utilize web data.

Collecting and utilizing web data is not something that only data scientists and AI experts can do. Anyone can collect and utilize web data.


Features of this course

📌 Describes techniques for collecting web data ( web crawling, web scraping ).

📌 Explains the latest web data collection technology. Use Beautifulsoup to parse web pages and collect the elements you want.

📌 You can collect data not only from synchronous web pages but also from asynchronous web pages.

📌 You can automate your browser ( browser-automation ) using Selenium .

📌 We provide various practical examples. By applying the practical examples, you can collect more web data.

📌 The content of the course is web crawling, but it would be more accurate to call it web scraping. However, the word that everyone is more familiar with is web crawling rather than web scraping, so I called it web crawling in the title of this course.

  • The practice code for collecting data from the national marketplace was modified on 2025.03.12.

I recommend this to these people

I want to deal with data.

Web data collection is a skill that anyone who handles data should have at all times.

I'm looking for a job as a data expert.
Data exploration and preprocessing are essential topics that data analysis or artificial intelligence experts must learn.

Can you trust the instructor?
A knight, a vocational training instructor, a doctorate, 20 years of teaching experience, and a star training instructor qualification - all of these prove that he is an S-class instructor who surpasses A-class.

💡 This lecture...

  • Describes the latest web data collection techniques.


  • Learn techniques to collect all web data using synchronous and asynchronous web browser automation.

  • All source code used in the lecture is provided.


Things to note before taking the class

Practice environment

  • The lecture explains based on Windows.

  • The course uses the Python interpreter and PyCharm development tools.


Learning Materials

  • Source code is made public through class notes for each class.


Recommended for
these people

Who is this course right for?

  • Someone looking to collect and utilize web data.

  • Data Analyst

Need to know before starting?

  • python

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Curriculum

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12 lectures ∙ (5hr 4min)

Course Materials:

Lecture resources
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5.0

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