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The key to web scraping: Get Request explained!
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Hey everyone! 👋 Amir here from Codemate TV. In today's video, we'll be diving into the world of HTTP requests and learning how to create an HTTP GET request from scratch using Python. 📡🐍
We'll cover:
- Parsing URLs to extract components like the host and path.
- Setting up TCP/IP connections to communicate with servers.
- Using SSL to secure our connections for HTTPS.
- Crafting HTTP headers and understanding their importance.
- Receiving and processing server responses.
By the end of this video, you'll understand how GET requests work behind the scenes and how to implement them in your own projects. Don't forget to check out the GitHub link for the full code and ask any questions you have in the comments below! 👇✨
🔗Useful Links:
00:00 - Intro
01:25 - Explaining the important parts in HTTP request
03:33 - Parsing URL to extract important parts
09:52 - Create TCP/IP layer in our code
30:10 - How to add custom headers in raw http request
36:45 - Outro Chat (A Little Talk)
#https #WebScraping #Python #Freelancer #DataExtraction #Scrapy #TechSkills #Rightmove #Coding #Programming #datascraping
We'll cover:
- Parsing URLs to extract components like the host and path.
- Setting up TCP/IP connections to communicate with servers.
- Using SSL to secure our connections for HTTPS.
- Crafting HTTP headers and understanding their importance.
- Receiving and processing server responses.
By the end of this video, you'll understand how GET requests work behind the scenes and how to implement them in your own projects. Don't forget to check out the GitHub link for the full code and ask any questions you have in the comments below! 👇✨
🔗Useful Links:
00:00 - Intro
01:25 - Explaining the important parts in HTTP request
03:33 - Parsing URL to extract important parts
09:52 - Create TCP/IP layer in our code
30:10 - How to add custom headers in raw http request
36:45 - Outro Chat (A Little Talk)
#https #WebScraping #Python #Freelancer #DataExtraction #Scrapy #TechSkills #Rightmove #Coding #Programming #datascraping
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