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httpxvsaiohttp

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httpx is a fully featured HTTP client for Python 3, which provides sync and async APIs, and support for both HTTP/1.1 and HTTP/2. It is designed to be a replacement for the popular requests package, with the added benefit of being fully compatible with Python 3's async features.

One of the main features of httpx is its support for asynchronous programming. This means that it can send multiple requests at the same time, without blocking the execution of your program. This can lead to significant performance improvements, especially when working with many small requests, or when dealing with slow or unreliable network connections.

httpx also supports sending HTTP/2 requests, which allows for more efficient use of network resources and can result in faster page loads.

One of the strengths of httpx is the possibility of working on streaming mode for the response data. This means you can process the response as it comes in, instead of waiting for the entire response to be received. This is useful when working with large files, or when you need to process the data in real-time.

Additionally, httpx provides a number of other features that are common in modern HTTP clients, such as support for sending and receiving cookies, handling redirects, and working with multipart file uploads. It also include support for several well-known authentication modules like BasicAuth, DigestAuth, and BearerAuth.

aiohttp is an asynchronous HTTP client/server framework for asyncio and Python. It provides a simple API for making HTTP requests and handling both client and server functionality. Like the requests package, aiohttp is designed to be easy to use and handle many of the low-level details of working with HTTP.

The main benefit of aiohttp over requests is that it is built on top of the asyncio library, which means that it can handle many requests at the same time without blocking the execution of your program. This can lead to significant performance improvements when making many small requests, or when dealing with slow or unreliable network connections.

aiohttp provides both client and server side functionality, so you can use it to create web servers and handle client requests in a non-blocking manner. It also supports WebSocket protocol, so it can be used for building real-time application like chat, game, etc.

aiohttp also provide several features for handling connection errors, managing timeouts, and client sessions. It also provide similar features like requests package like redirect handling, cookies, and support for several authentication modules.

You can install aiohttp via pip package manager:

pip install aiohttp

In terms of API design, aiohttp is similar to requests and thus should be familiar to anyone who has used the requests library, but it provides an async with block to manage the context of the connection and used await statement to wait for the result.

It''s worth noting that aiohttp is built on top of asyncio and is designed to be used in Python 3.5 and above. It provides the same functionality as httpx but it is specifically built for the asyncio framework.

Highlights


asynciotriosynchttp2
asynciowebsocketshttp2http-servermulti-partresponse-streaminghttp-proxy

Example Use


import httpx

# Just like requests httpx can be used directly
response = httpx.get("http://webscraping.fyi/")
response.status_code
200
response.text
"text"
response.content
b"bytes"

# HTTP2 needs to be enabled explicitly and is recommended for web scraping:
response = httpx.get("http://webscraping.fyi/", http2=True)

# httpx can automatically convert json responses to Python dictionaries:
response = httpx.get("http://httpbin.org/json")
print(response.json())
{'slideshow': {'author': 'Yours Truly', 'date': 'date of publication', 'slides': [{'title': 'Wake up to WonderWidgets!', 'type': 'all'}, {'items': ['Why <em>WonderWidgets</em> are great', 'Who <em>buys</em> WonderWidgets'], 'title': 'Overview', 'type': 'all'}], 'title': 'Sample Slide Show'}}

# for POST request it can ingest Python's dictionaries as JSON:
response = requests.post("http://httpbin.org/post", json={"query": "hello world"})
# or form data:
response = requests.post("http://httpbin.org/post", data={"query": "hello world"})

# persistent client can be established using Client object
# this allows to set default values and automatically track cookies
from httpx import Client

c = Client(headers={"User-Agent": "webscraping.fyi"}, http2=True)
c.get('http://httpbin.org/cookies/set/foo/bar')
print(c.cookies['foo'])
'bar'
print(c.get('http://httpbin.org/cookies').json())
{'cookies': {'foo': 'bar'}}

# for asynchronous requests AsyncClient must be used:
import asyncio
from httpx import AsyncClient 

async def example_use():
    async with AsyncClient(headers={"User-Agent": "webscraping.fyi"}) as client:
        response = await client.get("http://httpbing.org/get")
        # to schedule multiple requests concurrently use asyncio gather or as_completed
        three_concurrent_responses = await asyncio.gather(
            client.get("http://httpbing.org/get"),
            client.get("http://httpbing.org/get"),
            client.get("http://httpbing.org/get"),
        )

asyncio.run(example_use())
import asyncio
from aiohttp import ClientSession, WSMsgType

# aiohttp only provides async client so we must use a coroutine:
async def run():
    async with ClientSession(headers={"User-Agent": "webscraping.fyi"}) as session:
        # we can use the session to make requests:
        response = await session.get("http://httpbin.org/headers")
        print(response.status)
        # note: to read the response body we must use await:
        print(await response.text())

        # aiohttp also comes with convenience methods for common requests:
        # POST json
        resp = await session.post("http://httpbin.org/post", json={"key": "value"})
        # POST form data
        resp = await session.post("http://httpbin.org/post", data={"key": "value"})
        # decode response as json
        resp = await session.get("http://httpbin.org/json")
        data = await resp.json()
        print(data)

        # aiohttp also supports websocket connections
        # which can be used to scrape websites that use websockets:
        async with session.ws_connect("http://example.org/ws") as ws:
            async for msg in ws:
                if msg.type == WSMsgType.TEXT:
                    if msg.data == "close cmd":
                        await ws.close()
                        break
                    else:
                        await ws.send_str(msg.data + "/answer")
                elif msg.type == WSMsgType.ERROR:
                    break


asyncio.run(run())

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