Automated Youtube Channel

In this project, I created a Python program that web scrapes for short video content and turns it into long videos that are then automatically published to YouTube. I developed this project to demonstrate my versatile array of skills as a software engineer. In this post, I will go into technical detail about what I did and what I learned from it as well as the experiences and knowledge it gave me.

To start, I used several programming concepts when working on this project. The first and most important concept I used was web scraping. Web scraping is the process of extracting data from websites. In this project, I scraped videos from Instagram pages that I was following. To do this, I used the InstaLooter and Instaloader Python libraries. These libraries allowed me to scrape videos from Instagram pages and download them to my computer.

I also used the concept of automation in this project. Automation is the process of using software to perform tasks automatically, without human intervention. In this project, I automated the process of scraping videos from Instagram and publishing them to YouTube. I did this using a Python program that I wrote. The program scraped the videos, edited them together to make longer videos, and then published them to YouTube automatically.

The program I wrote to automate this process was called "scrape_videos.py". This program had several key features that made it work. First, it had the ability to log in to Instagram and access the pages I was following. It then scraped the videos from those pages and downloaded them to a folder on my computer. It also had the ability to edit the videos together to make longer videos, using a video editing library called OpenCV. Finally, it published the edited videos to YouTube using the YouTube Data API.

One of the challenges I faced when working on this project was getting the program to log in to Instagram and access the pages I was following. To do this, I had to use the Instaloader and InstaLooter libraries. These libraries allowed me to authenticate with Instagram and access the pages I was following. I also had to use the YouTube Data API to publish the videos to YouTube. This involved setting up an API key and configuring the program to use it.

Another challenge I faced was getting the program to edit the videos together to make longer videos. To do this, I used the OpenCV library. OpenCV is a powerful computer vision library that allows you to manipulate images and videos. I used it to edit the videos together and add transitions between them.

Overall, this project was a great learning experience for me. I learned a lot about web scraping, automation, and video editing. I also learned how to use several powerful Python libraries, including Instaloader, InstaLooter, OpenCV, and the YouTube Data API. This project also gave me a chance to demonstrate my skills as a software engineer and create something that I am proud of.