parallel-reqs 0.0.5

Calling parallel request Pyhton

Parallel Requests

Parallel Requests is a Python project that allows you to execute HTTP requests in parallel using the asyncio and aiohttp libraries. This tool is designed to improve efficiency and reduce waiting time when making multiple HTTP requests. With Parallel Requests, you can send GET, POST, PUT, and DELETE requests simultaneously, collecting responses asynchronously and easily managing the results.

**Features**:

- Parallel execution of HTTP requests: Send multiple requests simultaneously to reduce waiting times.

- Support for common HTTP methods: Perform GET, POST, PUT, and DELETE requests.

- Asynchronous management: Utilizes asyncio and aiohttp for efficient request handling.

- Execution time calculation: Measures the time taken to execute each request.

- Ease of use: Simple interface for adding and managing requests.

GitHub Source

You can find source files in:

https://github.com/danelsan/parallel-requests

Installation

For installation by gih write

make install

Puoi installare Parallel Requests usando il file setup.py. Nella directory principale del progetto, esegui il seguente comando:

pip install parallel_reqs

Example

from parallel_reqs import RequestExecutor 
from parallel_reqs import Request

# Lista di URL di esempio
urls = [
    "https://www.google.com",
    "https://www.bing.com",
    "https://www.yahoo.com",
    "https://www.wikipedia.org",
    "https://www.imdb.com",
    "https://www.amazon.com",
    "https://www.ebay.com",
    "https://www.facebook.com",
    "https://www.twitter.com",
    "https://www.instagram.com",
    "https://www.corriere.it",
    "https://www.repubblica.it",
    "https://www.ansa.it",
    "https://www.rainews.it",
    "https://www.sky.it",
    "https://www.msn.com",
    "https://www.aol.com",
    "https://www.cnn.com",
    "https://www.foxnews.com",
    "https://www.bbc.com",
    "https://www.aljazeera.com",
    "https://www.nbcnews.com",
    "https://www.cbsnews.com",
    "https://www.abcnews.go.com",
    "https://www.npr.org",
    "https://www.pbs.org",
    "https://www.huffpost.com",
    "https://www.buzzfeed.com",
    "https://www.vox.com",
    "https://www.slate.com",
    "https://www.theverge.com",
    "https://www.wired.com",
    "https://www.arstechnica.com",
    "https://www.engadget.com",
    "https://www.cnet.com",
    "https://www.zdnet.com",
    "https://www.techcrunch.com",
    "https://www.theatlantic.com",
    "https://www.newyorker.com",
    "https://www.harpersbazaar.com",
    "https://www.vanityfair.com",
    "https://www.gq.com",
    "https://www.esquire.com",
    "https://www.menshealth.com",
    "https://www.womenshealthmag.com",
    "https://www.shape.com",
    "https://www.self.com",
    "https://www.cosmopolitan.com",
    "https://www.glamour.com",
    "https://www.allure.com",
    "https://www.vogue.com",
    "https://www.elle.com",
    "https://www.harpersbazaar.com",
    "https://www.marieclaire.com"
]

                                                                                   
def main():
        print("Urls: ", len(urls))
        executor = RequestExecutor()       
        try:
            for u in urls:
                executor.add_request(Request.create(url=u, method="GET"))
        except Exception as e:    
            print(e)

        responses = executor.run()
        print("Responses: ", len(responses))
        for response in responses: 
            print(f"Status Code: {response.status_code}, Execution Time: {response.execution_time} sec") 

        print( "Total: exec" , executor.execution_time)


main()