is python requests thread safe

Is Python Requests Thread Safe?

As a developer who has worked extensively with Python and web programming, I can say that Python Requests is generally thread safe.

Thread safety is an important consideration when working with multi-threaded applications. It ensures that multiple threads can safely access a shared resource without causing any issues or inconsistencies.

Python Requests is a popular library used for making HTTP requests in Python. It has built-in support for handling cookies, sessions, and authentication, making it a convenient choice for web developers.

Why Python Requests is Thread Safe?

The reason why Python Requests is thread safe is that it uses a thread-safe connection pool under the hood. This connection pool allows multiple threads to use the same socket connection, which reduces overhead and improves performance.

In addition, Python Requests uses the urllib3 library to handle HTTP connections, which is also thread safe.

Multiple Ways to Ensure Thread Safety

Although Python Requests is generally thread safe, there are some situations where you may need to take extra precautions to ensure thread safety. Here are a few ways you can achieve this:

  • Use a Session Object: Using a session object is one of the easiest ways to ensure thread safety in Python Requests. When you create a session object, it creates a connection pool that can be shared across multiple threads. This means that requests made from different threads will use the same underlying connection pool.
  • Use Locking: Another way to ensure thread safety is to use locking. With locking, you can ensure that only one thread can access a shared resource at a time. This can be useful if you have a resource that is not thread-safe, such as a database connection.
  • Use Asyncio: Finally, you can use asyncio to achieve thread safety in Python Requests. Asyncio is a Python library that allows you to write asynchronous code using coroutines. With asyncio, you can create non-blocking HTTP requests, which can be more efficient than blocking requests in multi-threaded applications.


In conclusion, Python Requests is generally thread safe thanks to its use of a thread-safe connection pool and the urllib3 library. However, in some situations, you may need to take extra precautions to ensure thread safety.

Using a session object, locking, or asyncio are all valid ways to achieve thread safety in Python Requests. Ultimately, the approach you choose will depend on your specific use case and requirements.

  import requests
  # create a session object
  session = requests.Session()
  # make a request using the session object
  response = session.get('')