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    <p>first of all I would suggest to avoid urllib like the plague and instead use requests, which has really easy support for proxies: <a href="http://docs.python-requests.org/en/latest/user/advanced/#proxies" rel="nofollow">http://docs.python-requests.org/en/latest/user/advanced/#proxies</a><br> Next to that, I haven't use it with multi-threading but with multi-processing and that worked really well, the only thing that you have to figure out is whether you have a dynamic queue or a fairly fixed list that you can spread over workers, an example of the latter which spreads a list of urls evenly over x processes:</p> <pre><code># *** prepare multi processing nr_processes = 4 chunksize = int(math.ceil(total_nr_urls / float(nr_processes))) procs = [] # *** start up processes for i in range(nr_processes): start_row = chunksize * i end_row = min(chunksize * (i + 1), total_nr_store) p = multiprocessing.Process( target=url_loop, args=(start_row, end_row, str(i), job_id_input)) procs.append(p) p.start() # *** Wait for all worker processes to finish for p in procs: p.join() </code></pre> <p>every url_loop process writes away its own sets of data to tables in a database, so I don't have to worry about joining it together in python.</p> <p>Edit: On sharing data between processes -> For details see: <a href="http://docs.python.org/2/library/multiprocessing.html?highlight=multiprocessing#multiprocessing" rel="nofollow">http://docs.python.org/2/library/multiprocessing.html?highlight=multiprocessing#multiprocessing</a></p> <pre><code>from multiprocessing import Process, Value, Array def f(n, a): n.value = 3.1415927 for i in range(len(a)): a[i] = -a[i] if __name__ == '__main__': num = Value('d', 0.0) arr = Array('i', range(10)) p = Process(target=f, args=(num, arr)) p.start() p.join() print num.value print arr[:] </code></pre> <p>But as you see, basically these special types (Value &amp; Array) enable sharing of data between the processes. If you instead look for a queue to do a roundrobin like process, you can use JoinableQueue. Hope this helps!</p>
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    1. POPython urllib3 and proxy
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    1. COI dont think that would cut it. Currently the program has 3 parts: 1. standalone one url processing, 2. multiple url processing (your example would work that), but 3. is a multiple url and data processing where theads share data between them. Can you share data between processes?
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    2. COThe poster is using urllib*3*, which is in fact the foundation of requests.
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    3. COHe just mentioned it in his example, not as a solution requirement. Just trying to help out here and imho requests is a lot easier & quicker to implement than any of the urllibs...
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