The Complete Guide to Bot Creation

In this first video of the course, we will introduce you to what this course covers and what you can expect.

In this lecture, we will give you a brief overlook on what this course covers.

In this lecture, we will quickly discuss the ethical implication automation and botting has.

In this lecture, we will quickly discuss, how you can get the most learning and improvements out of this course.

In this lecture, we will talk about and work on a messed up script in order to understand the "self-help" workflow when encountering issues.

In this lecture, we will quickly introduce what we will create in this chapter. In addition to that, we will talk about why this type of automation is interesting.

In this lecture, we will quickly discuss, what this first sub-chapter about os operations covers.

In this lecture, we will work on our first hands-on task. We will create a batch renaming script that can rename the files in a given directory.

In this lecture, we will continue our work on the batch renamer script. We will refactor it to work as a command-line tool with 4 arguments, search, replace, filetype and path.

In this lecture, we will create a script that automatically cleans-up a given directory by putting similar files (by file ending) into their respective folders.

In this lecture, we will quickly discuss, what this sub-chapter about data extraction covers.

In this lecture, we will create a script that is able to extract the username, the number of posts, followers, and followings from a user JSON file downloaded from Instagram.

In this lecture, we will create a script that automatically extracts the unique names of sellers for a given sales period from a list of excel files. This information is then written to a summary excel file again.

In this lecture, we will create a script that automatically extracts the unique emails of applications from a list of PDF files (Resumes). This information is then written to a summary csv file.

In this lecture, we will quickly discuss, what this sub-chapter about task scheduling covers.

In this lecture, we will create a really simple script that automatically gets executed every Minute by the system internal cronjob scheduler on Unix (MacOS).

In this lecture, we will create a script that automatically gets executed every Monday and cleans up our Download folder content into a subfolder which is named after the current date.

In this lecture, we will quickly introduce what we will create in this chapter.

In this lecture, we will quickly discuss, what this sub-chapter about Automation based on APIs covers.

In this lecture, we will create a script that checks the GoDaddy API for the availability of the given domain name and returns whether it is available for purchase or not.

In this lecture, we will continue our work on the domain checker and extend it by adding Twilio which will inform us of the availability through WhatsApp.
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In this lecture, we will create a script that lets the user list his saved tracks from spotify and also add new tracks by giving a search keyword and then selecting from a list of given recommendations.

In this lecture, we will continue our work on the spotify music adder. We will integrate our existing script with telegram in order to build a telegram bot that let's you add favorite tracks.

This is a quick showcase about all projects that we are going to create in this lecture.

We are going to setup a simple Google Searcher Bot to learn the basics of Microsoft Playwright.

In this lecture we will create a simple script that likes pictures on your Instagram Feed randomly. This is exactly how Tim started developing his popular Instagram Bot 'InstaPy'.

The script we create here is going to follow your recommended Twitter accounts.

In this lecture, we will create a bot that is able to view to playlists on Spotify. This is a concept that, for example, has been abused in a large scale for the charts in Germany.

In this video we will go over the topics covered in this lecture.

Introduction into the Browsers Developer Tools with a detailed view on the Elements (DOM) Tab.

Detailed info about the Console Tab.

How to have a look at the Source Code of any Website out there.

The most important section if you wanna start reverse engineering APIs is the Network Tab.

What information does the Browser persist during Sessions?

In this Project we are going to use everything we learned from the Developer Tools to reverse engineer the private API of a popular Browsergame. Felix has used the same technique for his Browsergame Bot for Travian which, until today, is not detectable.

In this lecture, we will quickly introduce what this section is all about, Bot Obfuscation.

In this lecture, we will talk about HTTP headers and see what kind of headers are used in requests like e.g. grepolis.

In this lecture, we will talk about Proxies and a possible provider for such which you can use in your projects.

You can use the referral link: https://luminati.io/?affiliate=ref_5dacc4288fcb5320de07f165 to support us!

In this lecture, we will talk about port scans and why some webpages might do them to track bots.
The article we will show here describes this behaviour in more detail: https://www.google.de/amp/s/nullsweep.com/why-is-this-website-port-scanning-me/amp/

In this bonus lecture, we will take a look at a really handy feature of the Google Docs ecosystem, Appscript. It allows us to for example automate data gathering and instantly provide graphs and diagrams like, for example, line charts of the data for analysis.

In this bonus lecture, we will take a look at a really handy feature of the Google Docs ecosystem, Appscript. We will create a Twitter Data extraction tool that will plot a chart out of the extracted number of tweets, followers, and followings.