Get Response Headers in Python Requests If you're working with APIs or scraping websites, you may need to access the response headers of a request made in Python. Thankfully, the requests library makes this easy. Method 1: Accessing Headers Directly To get the headers of a response, you…
Python Requests: An Essential Tool for Web Scraping Web scraping is an important skill for data scientists and web developers, as it allows you to extract data from websites for analysis or use in your own web applications. Python's Requests library is a powerful tool for web scraping,…
Python Requests 'module' object is not callable If you are getting the error message "module 'requests' object is not callable" while using Python requests library, this means that you are trying to call a module as a function. This error can occur due to…
Python Requests Post Gzip If you are working with data in Python and want to compress it before sending it over a network, you can use the gzip library to compress the data and the requests library to send it. This can be useful when working with large datasets or…
Python Requests Upload File Multipart/Form-Data If you need to upload a file using Python, you can use the requests module. With requests, uploading a file is a simple process. Requests support multipart/form-data encoding which enables users to send both text and files as a single HTTP request. Uploading…
Python Requests Post Header Authorization Bearer If you are working with APIs in Python, you may come across the need to use the Authorization header with the Bearer token. The Requests library in Python makes it easy to send HTTP/1.1 requests using Python. In this article, I will…
Python Requests Functions If you are working with HTTP requests in Python, you will definitely come across the requests library. It is a widely used library that simplifies the process of making HTTP requests in Python. The library provides many useful functions to make requests and handle responses. Let'…
Python Doesn't Use Cache Python is one of the most popular programming languages used by developers around the world. One of the advantages of using python is its flexibility and dynamic nature. However, python does not use cache by default, which can lead to slower execution times. When…