---
id: requests-futures
version: "1.0.2"
license: Apache License v2
license_treatment: permissive
maintenance: active
---

# requests-futures — Asynchronous Python HTTP for Humans.

License: permissive · Maintenance: active · Downloads: 4.6M/mo

## What it is and what it does

requests-futures is a lightweight wrapper around the requests library that enables asynchronous HTTP requests using Python's concurrent.futures module. Instead of blocking on each request, you create a FuturesSession that returns Future objects immediately, allowing you to issue multiple requests in parallel and retrieve responses when ready. The API mirrors requests.Session closely, minimizing the learning curve—you swap FuturesSession for Session and call .result() on the returned Future to get the Response.

The package uses a ThreadPoolExecutor by default with 8 workers, which you can customize or replace entirely. It preserves the requests API's behavior including hooks, session configuration, and exception handling, with the main difference being that exceptions are deferred to the .result() call rather than raised immediately. This makes it useful for scenarios where you need to make many HTTP calls concurrently without switching to a fully async framework.

Use it for:

- Fetch data from multiple APIs in parallel without blocking, then process all responses together
- Implement concurrent web scraping that issues many requests simultaneously and collects results
- Background HTTP operations in foreground-focused applications where you want requests to proceed while other work continues
- Batch processing workflows that need to make many HTTP calls with controlled concurrency via thread pool size
- Canceling pending requests in a context manager to avoid wasted resources on unneeded work

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Wraps the requests library to execute HTTP requests asynchronously using thread pools, returning futures instead of responses so multiple requests can be issued and resolved in parallel.

Yes, if you need concurrent HTTP requests and prefer a minimal, requests-compatible API over learning a full async framework. The low install friction, active maintenance, permissive license, and zero known vulnerabilities make it a safe choice. Not recommended if you require true async/await syntax or need to handle thousands of concurrent connections—consider a modern async HTTP library instead.

## Install

pip install requests-futures
uv add requests-futures
poetry add requests-futures

## Installing requests-futures

Before you install: Low friction install with a single runtime dependency on requests. Actively maintained with recent commits and stable production status since 2013.

License in practice: Apache License v2 is permissive; you can use this package in commercial and proprietary projects with minimal restrictions.

Quickstart:

from requests_futures.sessions import FuturesSession

session = FuturesSession(max_workers=10)
future = session.get('http://example.com')
response = future.result()
print(response.status_code)

Verify before relying:

- Whether the package supports async/await syntax or only futures-based concurrency
- Performance characteristics compared to modern async HTTP libraries
- Whether thread pool size and executor configuration are sufficient for high-concurrency workloads

## Package facts

- License: Apache License v2 (permissive)
- Python support: unspecified
- Install friction: low
- Maintenance: active
- Downloads: 4.6M/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

async http requests python, concurrent requests library, parallel http calls, requests futures session, threaded http client, non-blocking http requests, background http requests, concurrency, http-client, thread-pool

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