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    <p>So you have 2 problem and let me show you in one example. Notice the pycurl already did the multithreading/not one-at-a-time w/o your hardwork.</p> <pre><code>#! /usr/bin/env python import sys, select, time import pycurl,StringIO c1 = pycurl.Curl() c2 = pycurl.Curl() c3 = pycurl.Curl() c1.setopt(c1.URL, "http://www.python.org") c2.setopt(c2.URL, "http://curl.haxx.se") c3.setopt(c3.URL, "http://slashdot.org") s1 = StringIO.StringIO() s2 = StringIO.StringIO() s3 = StringIO.StringIO() c1.setopt(c1.WRITEFUNCTION, s1.write) c2.setopt(c2.WRITEFUNCTION, s2.write) c3.setopt(c3.WRITEFUNCTION, s3.write) m = pycurl.CurlMulti() m.add_handle(c1) m.add_handle(c2) m.add_handle(c3) # Number of seconds to wait for a timeout to happen SELECT_TIMEOUT = 1.0 # Stir the state machine into action while 1: ret, num_handles = m.perform() if ret != pycurl.E_CALL_MULTI_PERFORM: break # Keep going until all the connections have terminated while num_handles: # The select method uses fdset internally to determine which file descriptors # to check. m.select(SELECT_TIMEOUT) while 1: ret, num_handles = m.perform() if ret != pycurl.E_CALL_MULTI_PERFORM: break # Cleanup m.remove_handle(c3) m.remove_handle(c2) m.remove_handle(c1) m.close() c1.close() c2.close() c3.close() print "http://www.python.org is ",s1.getvalue() print "http://curl.haxx.se is ",s2.getvalue() print "http://slashdot.org is ",s3.getvalue() </code></pre> <p>Finally, these code is mainly based on an example on the pycurl site =.=</p> <p>may be you should really read doc. ppl spend huge time on it.</p>
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    1. POget many pages with pycurl?
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    1. COIf anyone try to using multithread approach in python level, it is not really fetching pages in parallel as you though because of python GIL's problem. Thanks for the curl lib which is written by C, the multi_perfrom by curl lib is truly multithreading. These is the fastest approach I can think of.
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