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Elegant and simple HTTP library for Python
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What is Requests?

It is an elegant and simple HTTP library for Python, built for human beings. It allows you to send HTTP/1.1 requests extremely easily. There’s no need to manually add query strings to your URLs, or to form-encode your POST data.
Requests is a tool in the Data Transfer category of a tech stack.
Requests is an open source tool with 51.1K GitHub stars and 9.1K GitHub forks. Here’s a link to Requests's open source repository on GitHub

Who uses Requests?

6 companies reportedly use Requests in their tech stacks, including PiNCAMP, Weblate, and Gbbd.

50 developers on StackShare have stated that they use Requests.

Requests Integrations

Requests's Features

  • Keep-alive & connection pooling
  • International domains and URLs
  • Sessions with cookie persistence
  • Browser-style SSL verification

Requests Alternatives & Comparisons

What are some alternatives to Requests?
AWS Data Pipeline
AWS Data Pipeline is a web service that provides a simple management system for data-driven workflows. Using AWS Data Pipeline, you define a pipeline composed of the “data sources” that contain your data, the “activities” or business logic such as EMR jobs or SQL queries, and the “schedule” on which your business logic executes. For example, you could define a job that, every hour, runs an Amazon Elastic MapReduce (Amazon EMR)–based analysis on that hour’s Amazon Simple Storage Service (Amazon S3) log data, loads the results into a relational database for future lookup, and then automatically sends you a daily summary email.
It is a .NET library that can read/write Office formats without Microsoft Office installed. No COM+, no interop.
It's focus is on performance; specifically, end-user perceived latency, network and server resource usage.
It is an open-source bulk data loader that helps data transfer between various databases, storages, file formats, and cloud services.
Google BigQuery Data Transfer Service
BigQuery Data Transfer Service lets you focus your efforts on analyzing your data. You can setup a data transfer with a few clicks. Your analytics team can lay the foundation for a data warehouse without writing a single line of code.
See all alternatives
Related Comparisons
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Requests's Followers
8 developers follow Requests to keep up with related blogs and decisions.