Web Scraping APIs with Python for Data Science - Beginner to Advanced - Part 2

In this course the students will get to know how to scrape data from the API of a website (if available). We start with the fundamentals and the beginner level project. After that, two different projects will be covered, followed by the advanced project. After scraping data of each project, the results will be stored inside an Excel file. Within the advanced level project we will create two different datasets with 5000 results each. The goal is to merge both Dataframes (total: 10000 results), save it in Excel and output the data in the PostgreSQL database and run SQL commands on our own data. 🎯 Project & Part #1 - Beginner Level 🎯 Project & Part #2 - Intermediate Level 🎯 Project & Part #3 - Infinite Scroll Website (Intermediate Level) 🎯 Project & Part #4 - Advanced Level _______________________________________________________________________________________________ ⏰ TIME STAMPS ⏰ 00:00 Intro 00:10 Project Overview & Understanding the website's API 14:06 Find the necessary data 24:39 Extract Data from a Single Page 40:17 Extract Data from Multiple Pages + Excel _______________________________________________________________________________________________ ✖️ E-Mail✖️ ✔️ [email protected] ✖️ Linked In✖️ ✔️ Alexander Schlee ➜ https://www.linkedin.com/in/alexander-schlee-331451147/ ✖️ INSTAGRAM ✖️ ✔️ alex_schlee_ ➜ https://www.instagram.com/alex_schlee_/ ✖️ UDEMY COURSES ✖️ ✔️ https://www.udemy.com/user/alexander-schlee-42/ ✖️ GITHUB ✖️ ✔️ https://github.com/LX-schlee