tbsaaa / web-crawler

Learning Web Crawler

This repository is a personal record of my journey learning web crawling. As I delve into the subject and gain more knowledge, I will update this repository with my notes, code snippets, and examples of my work.

Goals

My goal is to learn how to extract valuable information from websites and to better understand the inner workings of the web. By the end of my journey, I aim to have a solid understanding of the following:

• How to send HTTP requests and handle responses
• How to parse HTML and extract useful information
• How to interact with websites that use APIs
• How to avoid getting banned by websites through techniques such as rate limiting and user-agent rotation
• How to store and analyze the data that I've collected

Content

This repository will contain the following:

• Notes on web crawling concepts and techniques
• Code snippets in Python demonstrating how to extract information from websites
• Working examples of web crawlers that I've built
• Data that I've collected through my crawlers

Why Web Crawling

Web crawling is an essential tool in data science, enabling us to gather vast amounts of information from websites and use it for a variety of purposes. Whether it's to gather information for research purposes, or to extract valuable data for business intelligence, web crawling provides a means to access the vast amounts of information available on the web in an automated and scalable manner.

By learning web crawling, I hope to gain a better understanding of the web and how to extract valuable information from it.

Conclusion

This repository is a work in progress and will be updated as I learn more about web crawling. I'm excited to see where this journey takes me, and I hope that others will find my notes and code snippets useful in their own learning journeys.