python async post requests

The code in the question executes all POST requests in a series, making the code no faster than if you used requests in a single thread. But unlike requests, asyncio makes it possible to parallelize them in the same thread:

async def make_account():
    url = "https://example.com/sign_up.php"
    async with aiohttp.ClientSession() as session:
        post_tasks = []
        # prepare the coroutines that post
        async for x in make_numbers(35691, 5000000):
            post_tasks.append(do_post(session, url, x))
        # now execute them all at once
        await asyncio.gather(*post_tasks)

async def do_post(session, url, x):
    async with session.post(url, data ={
                "terms": 1,
                "captcha": 1,
                "email": "user%[email protected]" % str(x),
                "full_name": "user%s" % str(x),
                "password": "123456",
                "username": "auser%s" % str(x)
          }) as response:
          data = await response.text()
          print("-> Created account number %d" % x)
          print (data)

The above code will attempt to send all the POST requests at once. Despite the intention, it will be throttled by aiohttp.ClientSession's TCP connector which allows a maximum of 100 simultaneous connections by default. To increase or remove this limitation, you must set a custom connector on the session.