Python for webscraping, scheduling automation (Selenium)

Python for webscraping, scheduling & automation (Selenium), available at $59.99, has an average rating of 4.05, with 26 lectures, based on 33 reviews, and has 421 subscribers.

You will learn about Using Python to automate tasks Scrapping content on websites like Linkedin, Instagram, Google, Scheduling & automating Python scripts Setting up a server to host a Python application Connecting a Python app to databases Using Python for sending emails and text messages This course is ideal for individuals who are Python and full-stack developers, engineering students, self-taught developers It is particularly useful for Python and full-stack developers, engineering students, self-taught developers.

Enroll now: Python for webscraping, scheduling & automation (Selenium)

Summary

Title: Python for webscraping, scheduling & automation (Selenium)

Price: $59.99

Average Rating: 4.05

Number of Lectures: 26

Number of Published Lectures: 26

Number of Curriculum Items: 26

Number of Published Curriculum Objects: 26

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

Using Python to automate tasks

Scrapping content on websites like Linkedin, Instagram, Google,

Scheduling & automating Python scripts

Setting up a server to host a Python application

Connecting a Python app to databases

Using Python for sending emails and text messages

Who Should Attend

Python and full-stack developers, engineering students, self-taught developers

Target Audiences

Python and full-stack developers, engineering students, self-taught developers

Even though low-code and no-code technologies are becoming more and more popular, scraping any website and automating any task can still be difficult. This course gives you the tools so that you can use Python to automate any task on a browser, like creating a Linkedin or Instagram bot. 

This course offers practical solutions to the most challenging problems that you will meet while trying to retrieve data from websites during your growth hacking journey: scraping email addresses, creating an Instagram bot,  With this course, you will understand how you can automate any Python script to perform actions online. You will learn how to connect your application to databases and how to put it to production. This course is broken into 23 chapters that address all the subjects that you need to understand to build any automation or web scraping tool. You will learn:

– How to modify files with Python

– How to scrap data from any website (Linkedin, Instagram, etc)

– How to send emails & text messages with Python

– How to connect your application to databases (MySQL, PostgreSQL, MongoDB)

– How to automate & schedule Python scripts

– How to put your application to production with different providers

I have intentionally designed this course so that you can come back any time and find what you need in separate videos and course chapters. This course is part on an ongoing Python’s series including:

– Python for web development

– Python for web scrapping, scheduling & automation (this course)

– Python for mobile app backends & APIs

Course Curriculum

Chapter 1: Basics of automating with Python

Lecture 1: Introduction

Lecture 2: Python refresher course

Lecture 3: Using Python to modify Excel files

Lecture 4: Retrieving data from the web (APIs, exchange rates, weather forecast, ..)

Lecture 5: Sending emails with Python

Lecture 6: Sending text messages with Python

Chapter 2: Advanced webscraping

Lecture 1: Introduction to Selenium & website structure

Lecture 2: Sending information through search bars

Lecture 3: Scraping information from any website

Lecture 4: Scraping linkedin searches

Lecture 5: Scraping forever loading lists

Chapter 3: Advanced automating

Lecture 1: Introduction to schedulers (Blocking scheduler)

Lecture 2: Introduction to web apps with the Flask framework

Lecture 3: Sending information to your web app

Lecture 4: Webscrapping from a web app

Lecture 5: Advanced scheduling with Apscheduler

Lecture 6: Connecting a database to your scheduler

Lecture 7: Connecting your web app to a database

Chapter 4: Production

Lecture 1: Securing your application

Lecture 2: Preparing for production

Lecture 3: Production on Python Anywhere (without scheduler)

Lecture 4: Before starting Digital Ocean

Lecture 5: Production on Digital Ocean (with scheduler)

Lecture 6: Production on AWS

Chapter 5: Wrapping up

Lecture 1: Wrapping up

Lecture 2: Course book & code

Instructors

Romain Baud
Python programmer

Rating Distribution

1 stars: 1 votes

2 stars: 1 votes

3 stars: 3 votes

4 stars: 10 votes

5 stars: 18 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!