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In this class, you will learn techniques for retrieving (crawling) and processing data from various operating sites using Python, and apply them directly to various examples that you may encounter in the field. Through this, you will learn techniques that focus on solving practical problems based on an understanding of the basic principles of how the web works, rather than one-dimensional task automation by copying and pasting given codes, and accordingly, you will be able to collect and process data from any site in the future. You will also learn how to resolve various exceptions that occur in this process with code, and ultimately, you will be able to solve and automate various problems that occur in daily life with programming thinking.

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Python Web Crawling & Automation to Do My Work (feat. Stock, Real Estate Data / Instagram)

DeepingSauce

입문

초급

중급이상

파이썬

Python

Web Crawling

Orientation

Principles More Important than Code, Web and Internet, and HTTP

The three elements that make up a website, HTML/CSS/JAVASCRIPT

Principles and precautions of Python crawling libraries

Python Web Crawling Method 1. Requests Library

requests Practical example 1 - Domestic stock data (Naver Finance)

requests Practical Example 2-1 - US Stock Data (Marketwatch)

requests Practical example 2-2 - US stock data (yahoo finance, 3rd party lib, etc.)

requests Practical example 3 - POST request

requests wrap-up

(RESTful) API

Python Web Crawling Method 2. Selenium Library

selenium practical example 1 - Naver blog list

selenium practical example 2 - Naver financial market price data

selenium practical example 3 - Instagram follow & like

selenium practical example 4 - Naver Real Estate (Advanced)

selenium wrap-up

Lecture wrap-up