Web Scraping with BeautifulSoup and Requests
Offered By: Corey Schafer via YouTube
Course Description
Overview
Learn web scraping techniques using Python's BeautifulSoup library and Requests module in this comprehensive tutorial. Explore how to parse HTML code, extract specific information from websites, and automate data collection for various purposes such as gathering news headlines, sports scores, or product prices. Follow along with practical examples, including installing BeautifulSoup, understanding HTML structure, inspecting web pages, searching for specific elements, and handling iframes. Gain insights into error handling with try-except blocks and learn how to save scraped data to CSV files. Access accompanying code snippets and additional resources to enhance your web scraping skills.
Syllabus
Intro
Web Scraping Example
Installing BeautifulSoup
Understanding HTML
Inspect
Get Website
Inspect Website
Search for Articles
Headline
iframe
parse
YouTube link
Output
Demo
Try Except
Save to CSV
Taught by
Corey Schafer
Related Courses
Data Wrangling with MongoDBMongoDB via Udacity Getting and Cleaning Data
Johns Hopkins University via Coursera 用Python玩转数据 Data Processing Using Python
Nanjing University via Coursera Introduction to NodeJS
Microsoft via edX 用 Python 做商管程式設計(三)(Programming for Business Computing in Python (3))
National Taiwan University via Coursera