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Python Requests Library Explained

Sending HTTP requests is an integral part of countless tasks, including web scraping. Python combined with Oxylabs solutions automates the bulk of the underlying data extraction processes to ease your load and save time: 👉 https://oxy.yt/liQB In this video, get to know the basics and some advanced uses of the Requests library, including sending GET and POST requests, reading responses, using request headers, dealing with authentication, and more. Take a look at the most common user agents for price scraping: https://oxy.yt/up2n If you want to revise the process in a different format, check this Python tutorial on our blog: https://oxy.yt/9p9W Join over a thousand businesses that use Oxylabs proxies: Residential Proxies: 👉 https://oxy.yt/LiE6 Shared Datacenter Proxies: 👉 https://oxy.yt/HiR9 Dedicated Datacenter Proxies: 👉 https://oxy.yt/aiTi SOCKS5 Proxies: 👉 https://oxy.yt/tiY1 Learn more about the use of Python in public data extraction: 🎥Scraping multiple URLs with Python: https://oxy.yt/cpME 🎥Introduction to web scraping with Python: https://oxy.yt/1p1j ✅ Grow Your Business with Top-Tier Web Data Collection Infrastructure: https://oxy.yt/np84 In this video, Augustas covers the following: 00:00 Introduction 00:40 What is Python Requests? 01:31 Installation 01:54 GET requests 04:40 Reading responses 03:39 Using Python request headers 08:53 POST requests 10:52 Other HTTP methods 14:48 What is an authenticated request? 15:07 Sending data via authenticated requests 16:35 Retrieving data via authenticated requests 17:28 SSL certificate verification 19:23 Bearer token 20:13 Wrapping up Subscribe for more: https://oxy.yt/bp4Z © 2023 Oxylabs. All rights reserved. #Oxylabs #Python #Proxies

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