Create a web scraping framework. Python is fantastic for simpler tasks like harvesting. NodeJS was significantly easier than Python for extracting data on websites with a ton of JS. As a result The framework will consist of two components. Python for harvesting & JavaScript for extracting information.
- Virtualization/Containers
- Docker
- VirtualBox
- Databases
- MySQL Community
- MongoDB
- JavaScript
- NodeJS
- Axios
- Cheerio
- Python
- BS4
- Requests
* Use NoScript or disable Javascript in your browser, you can't scrape something that isn't rendered.
* Save web pages and launch a docker instance, VM, IIS, Flask, Nginx, Apache, XAMPP etc.
* When deciding to scrape a website, view the Robots.txt and see if there's an API regarding data collection.
* Time requests to a website.
* Use headers and cookies. To generate a website cookie go to the domain > inspect element(f12(Firefox),(f12)(Brave) or...<br>
* Tap the right mouse button (click 'inspect element') 'navigate to the console') > alert(document.cookie); or console.log(document.cookie);
* If you're using a VPN/TOR make sure your system time aligns with your connections time. If you have JavaScript enabled you can see current system time.(When extracting your cookie!)