To perform multiple cURL requests in parallel using a script, you can use the concept of multi-processing or threading, depending on the programming language you are using. Here's an example using Python with the multiprocessing
module:
import requests
from multiprocessing.pool import ThreadPool
urls = ["http://example.com", "http://example.org", "http://example.net"]
def make_request(url):
response = requests.get(url)
# Process the response as per your requirements
print(response.text)
# Create a thread pool with the desired number of workers
pool = ThreadPool(processes=3)
# Apply the function to each URL in the list, which will be processed in parallel
results = pool.map(make_request, urls)
# Close the pool and wait for the work to finish
pool.close()
pool.join()
In this example, we use the requests
library to send HTTP requests, the multiprocessing.pool.ThreadPool
class to create a thread pool, and the map
method to apply the make_request
function to each URL in parallel.
You can replace the make_request
function with your own logic to handle the responses. Additionally, you can adjust the processes
argument in ThreadPool
to control the number of concurrent requests you want to make.
Note: This example assumes you have the necessary libraries installed. You can install them using pip (e.g., pip install requests
).