Requests Knowledgebase

Requests is the most popular Python library for making HTTP requests. It simplifies the process of sending HTTP requests and handling responses, making it an essential tool for web scraping and data programming.

Requests is designed to be user-friendly and intuitive, allowing developers to focus on their scraping tasks without getting bogged down by the complexities of HTTP protocols. It supports various features such as session management, cookies, and authentication, making it a versatile choice for web scraping projects.

Guide to Python Requests Headers

Our guide to request headers for Python requests library. How to configure and what do they mean.

Guide to Python Requests Headers

See below for more on Requests in the context of web scraping and data programming 👇

How to open Python http responses in a web browser?

To preview Python http responses we can use temporary files and the built-in webbrowser module. Here's how.

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How to fix python requests ConnectTimeout error?

Python's ConnectTimeout exception is caused when connection can't be established fast enough. Here's how to fix it.

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How to fix Python requests MissingSchema error?

Python "requests.MissingSchema" exception is usually caused by a missing protocol part in the URL. Most commonly when relative URL is used.

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How to fix Python requests ReadTimeout error?

Python requests.ReadTimeout is caused when resources cannot be read fast enough. Here's how to fix it.

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How to fix Python requests SSLError?

Python's requests.SSLError is caused when encryption certificates mismatch for HTTPS type of URLs. Here's how to fix it.

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How to fix Python requests TooManyRedirects error?

Python's requests.TooManyRedirects exception is raised when server continues to redirect >30 times. Here's how to fix it.

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How to configure Python requests to use a proxy?

Python requests supports many proxy types and options. Here's how to configure most proxy options for web scraping.

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3 ways to install Python Requests library

Python requests library is a popular HTTP client and here's how to install it using pip, poetry and pipenv.

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