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Quick Overview
GRequests is a Python library that combines the simplicity of the Requests library with the asynchronous power of gevent. It allows for easy, non-blocking HTTP requests, enabling developers to make multiple concurrent requests efficiently.
Pros
- Simplifies asynchronous HTTP requests in Python
- Compatible with the popular Requests library API
- Improves performance for I/O-bound operations
- Easy to use and integrate into existing projects
Cons
- Depends on gevent, which may not be suitable for all environments
- Limited to gevent's concurrency model
- May require additional configuration for SSL certificate verification
- Not actively maintained (last commit was in 2021)
Code Examples
- Making multiple GET requests concurrently:
import grequests
urls = [
'https://api.github.com',
'https://api.bitbucket.org',
'https://api.gitlab.com'
]
rs = (grequests.get(u) for u in urls)
responses = grequests.map(rs)
for response in responses:
print(f"Status: {response.status_code}, URL: {response.url}")
- Handling exceptions during concurrent requests:
import grequests
def exception_handler(request, exception):
print(f"Request failed: {request.url}")
urls = [
'https://api.github.com',
'https://nonexistent-url.com',
'https://api.gitlab.com'
]
rs = (grequests.get(u) for u in urls)
responses = grequests.map(rs, exception_handler=exception_handler)
- Making POST requests with custom headers:
import grequests
urls = ['https://httpbin.org/post'] * 3
data = [{'key': 'value1'}, {'key': 'value2'}, {'key': 'value3'}]
headers = {'Content-Type': 'application/json'}
rs = (grequests.post(u, json=d, headers=headers) for u, d in zip(urls, data))
responses = grequests.map(rs)
for response in responses:
print(response.json())
Getting Started
To get started with GRequests, follow these steps:
-
Install the library using pip:
pip install grequests
-
Import the library in your Python script:
import grequests
-
Use the library to make asynchronous requests:
urls = ['https://api.example.com/1', 'https://api.example.com/2'] rs = (grequests.get(u) for u in urls) responses = grequests.map(rs)
Now you can work with the responses as you would with regular Requests library responses.
Competitor Comparisons
Asynchronous HTTP client/server framework for asyncio and Python
Pros of aiohttp
- Built specifically for asyncio, providing native async/await support
- More comprehensive feature set, including WebSocket support and server-side capabilities
- Actively maintained with frequent updates and a larger community
Cons of aiohttp
- Steeper learning curve, especially for developers new to asyncio
- More complex setup and usage compared to grequests' simplicity
Code Comparison
aiohttp:
import aiohttp
import asyncio
async def fetch(url):
async with aiohttp.ClientSession() as session:
async with session.get(url) as response:
return await response.text()
asyncio.run(fetch('https://example.com'))
grequests:
import grequests
urls = ['https://example.com']
rs = (grequests.get(u) for u in urls)
grequests.map(rs)
aiohttp offers more control and flexibility but requires more boilerplate code. grequests provides a simpler interface for basic concurrent requests, making it easier to use for straightforward tasks. However, aiohttp's native asyncio support and broader feature set make it more suitable for complex asynchronous applications and larger projects.
A next generation HTTP client for Python. 🦋
Pros of httpx
- Full async support with both sync and async APIs
- Modern features like HTTP/2 and WebSocket support
- More actively maintained with frequent updates
Cons of httpx
- Steeper learning curve, especially for async programming
- Potentially slower for simple synchronous requests
- Larger codebase and more dependencies
Code Comparison
httpx:
import httpx
async with httpx.AsyncClient() as client:
response = await client.get('https://example.com')
print(response.text)
grequests:
import grequests
urls = ['https://example.com']
responses = grequests.map(grequests.get(u) for u in urls)
print(responses[0].text)
Summary
httpx is a more modern and feature-rich library, offering full async support and newer HTTP protocols. It's actively maintained but may have a steeper learning curve. grequests, on the other hand, provides a simpler interface for concurrent requests using gevent, which can be easier for beginners or simpler use cases. However, it lacks some of the advanced features and active development of httpx. The choice between the two depends on the specific requirements of your project and your familiarity with async programming.
Asynchronous Python HTTP Requests for Humans using Futures
Pros of requests-futures
- Simpler API, more closely resembling the synchronous
requests
library - Better exception handling and error propagation
- More actively maintained with recent updates
Cons of requests-futures
- Slightly more verbose syntax for making concurrent requests
- Less intuitive for users familiar with gevent-style concurrency
- May have slightly higher memory usage due to the use of
ThreadPoolExecutor
Code Comparison
requests-futures:
from requests_futures.sessions import FuturesSession
session = FuturesSession()
future = session.get('http://example.com')
response = future.result()
grequests:
import grequests
urls = ['http://example.com']
rs = grequests.get(urls)
response = grequests.map(rs)[0]
Both libraries aim to provide asynchronous HTTP requests for Python, building on the popular requests
library. requests-futures uses concurrent.futures
for its implementation, while grequests leverages gevent for concurrency.
requests-futures offers a more familiar API for those already using requests
, making it easier to transition from synchronous to asynchronous code. It also provides better exception handling, which can be crucial in production environments.
On the other hand, grequests has a more concise syntax for making multiple concurrent requests, which can be advantageous when dealing with a large number of URLs. However, it may be less intuitive for developers not familiar with gevent-style concurrency.
Ultimately, the choice between these libraries depends on specific project requirements, familiarity with different concurrency models, and the need for recent updates and maintenance.
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GRequests: Asynchronous Requests
GRequests allows you to use Requests with Gevent to make asynchronous HTTP Requests easily.
|version| |pyversions|
Installation
Installation is easy with pip::
$ pip install grequests
â¨ð°â¨
Usage
Usage is simple:
.. code-block:: python
import grequests
urls = [
'http://www.heroku.com',
'http://python-tablib.org',
'http://httpbin.org',
'http://python-requests.org',
'http://fakedomain/',
'http://kennethreitz.com'
]
Create a set of unsent Requests:
.. code-block:: python
>>> rs = (grequests.get(u) for u in urls)
Send them all at the same time using map
:
.. code-block:: python
>>> grequests.map(rs)
[<Response [200]>, <Response [200]>, <Response [200]>, <Response [200]>, None, <Response [200]>]
The HTTP verb methods in grequests
(e.g., grequests.get
, grequests.post
, etc.) accept all the same keyword arguments as in the requests
library.
Error Handling ^^^^^^^^^^^^^^
To handle timeouts or any other exception during the connection of
the request, you can add an optional exception handler that will be called with the request and
exception inside the main thread. The value returned by your exception handler will be used in the result list returned by map
.
.. code-block:: python
>>> def exception_handler(request, exception):
... print("Request failed")
>>> reqs = [
... grequests.get('http://httpbin.org/delay/1', timeout=0.001),
... grequests.get('http://fakedomain/'),
... grequests.get('http://httpbin.org/status/500')]
>>> grequests.map(reqs, exception_handler=exception_handler)
Request failed
Request failed
[None, None, <Response [500]>]
imap ^^^^
For some speed/performance gains, you may also want to use imap
instead of map
. imap
returns a generator of responses. Order of these responses does not map to the order of the requests you send out. The API for imap
is equivalent to the API for map
. You can also adjust the size
argument to map
or imap
to increase the gevent pool size.
.. code-block:: python
for resp in grequests.imap(reqs, size=10):
print(resp)
There is also an enumerated version of imap
, imap_enumerated
which yields the index of the request from the original request list and its associated response. However, unlike imap
, failed requests and exception handler results that return None
will also be yielded (whereas in imap
they are ignored). Aditionally, the requests
parameter for imap_enumerated
must be a sequence. Like in imap
, the order in which requests are sent and received should still be considered arbitrary.
.. code-block:: python
>>> rs = [grequests.get(f'https://httpbin.org/status/{code}') for code in range(200, 206)]
>>> for index, response in grequests.imap_enumerated(rs, size=5):
... print(index, response)
1 <Response [201]>
0 <Response [200]>
4 <Response [204]>
2 <Response [202]>
5 <Response [205]>
3 <Response [203]>
gevent - when things go wrong ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Because grequests
leverages gevent
(which in turn uses monkeypatching for enabling concurrency), you will often need to make sure grequests
is imported before other libraries, especially requests
, to avoid problems. See grequests gevent issues <https://github.com/spyoungtech/grequests/issues?q=is%3Aissue+label%3A%22%3Ahear_no_evil%3A%3Asee_no_evil%3A%3Aspeak_no_evil%3A++gevent%22+>
_ for additional information.
.. code-block:: python
# GOOD
import grequests
import requests
# BAD
import requests
import grequests
.. |version| image:: https://img.shields.io/pypi/v/grequests.svg?colorB=blue :target: https://pypi.org/project/grequests/
.. |pyversions| image:: https://img.shields.io/pypi/pyversions/grequests.svg? :target: https://pypi.org/project/grequests/
Top Related Projects
Asynchronous HTTP client/server framework for asyncio and Python
A next generation HTTP client for Python. 🦋
Asynchronous Python HTTP Requests for Humans using Futures
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