Web Scraping APIs for Data Science 2021 | PostgreSQL+Excel

From Beginner to Advanced | 4 Hands-On Projects

Created by : Rated :4.1 72212 views

Last Updated: 2022-05-04 04:05:45 English Course Type: Self Learning

Ability to extract data from a websites API

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 wach project, the results will be stored inside an Excel file. Within the advanced level project we will create two dofferent 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.

The requirement for this course is basic knowledge of Python Programming. Since we will not cover very difficult Python topics you do not have to be a professional. The most important characteristic is that you are curious about Web Scraping and Data Mining. You should be ready to invest time in gaining the knowledge which is taught in this course.

After this course you will have the knowledge and the experience to scrape your own data and create your own dataset. With the help of the course resources you will always have documents you can refer to. If you have a question or if a concept just does not make sense to you, you can ask your questions anytime inside the Q&A - Forum. Either the instructor or other students will answer your question. Thanks to the community you will never have the feeling to learn alone by yourself.

What you’ll learn

web scraping
data extraction
data mining
create your own dataset
output data in Excel
output your dataframe in PostgreSQL
run SQL commands on your dataframe

Are there any course requirements or prerequisites?

basic understanding of Python programming

Who this course is for:

Data Enthusiasts who want to create their own datasets

basic understanding of Python programming

Data Enthusiasts who want to create their own datasets

Section 1 : Introduction 1 Lectures 00:06:00
Lecture 1 :
Course Overview & Introduction Preview
Section 2 : Fundamentals & Project # 1 - Beginner Level 3 Lectures 00:21:28
Lecture 1 :
Install necessary libraries
Lecture 2 :
Fundamentals & Project # 1 (Part 1/2)
Lecture 3 :
Fundamentals & Project # 1 (Part 2/2)
Section 3 : Project # 2 - Intermediate Level 4 Lectures 00:26:25
Lecture 1 :
Project Overview & Understanding the website's API
Lecture 2 :
Find the necessary Data
Lecture 3 :
Extract Data from Single Page
Lecture 4 :
Extract Data from Multiple Pages + Excel
Section 4 : Project # 3 - BONUS SECTION -Infinite Scroll Website - Intermediate Level 4 Lectures 00:16:16
Lecture 1 :
Project Overview & Requests
Lecture 2 :
Find your Data
Lecture 3 :
Extract Data from One Page
Lecture 4 :
Extract Data from 10 Pages
Section 5 : Project #4 - Advanced Level Project + PostgreSQL 9 Lectures 00:45:48
Lecture 1 :
Project Overview
Lecture 2 :
New York Data - Set Up & Python Request
Lecture 3 :
New York Data - Find your Data
Lecture 4 :
New York Data - Extract Data from One Page
Lecture 5 :
New York Data - Extract 5000 results
Lecture 6 :
San Francisco Data - Extract 5000 results
Lecture 7 :
Combine Dataframes & Excel
Lecture 8 :
Install PostgreSQL
Lecture 9 :
Connect Jupyter Notebook with PostgreSQL & Run SQL - Commands

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Alexander Schlee,

163776 Course Views

3 Courses

Hi Everyone, my name is Alex and I know that a lot of Programming-Topics can be very confusing and overwhelming. My Goal is to share my knowledge in a very simple way. I'm focussing on Python, Selenium and the whole Web Scraping Process. Especially for my own Data Science and Machine Learning Projects, I need to understand the concepts behind Web Scraping and I want to share it with my students.