因此，我试图在WebDriver内的新选项卡上打开网站。我想这样做，因为使用PhantomJS为每个网站打开一个新的WebDriver大约需要3.5秒，所以我想提高速度…

我正在使用多进程python脚本，并且我想从每个页面中获取一些元素，因此工作流程如下：

Open Browser

Loop throught my array
For element in array -> Open website in new tab -> do my business -> close it

但是我找不到任何方法来实现这一目标。

这是我正在使用的代码。网站之间永远都需要花时间，我需要它很快。允许使用其他工具，但是我不知道有太多工具可以用来删除通过JavaScript加载的网站内容（在加载事件时触发div创建的div等）为什么我需要selenium… BeautifulSoup无法用于我的某些页面。

#!/usr/bin/env python
import multiprocessing, time, pika, json, traceback, logging, sys, os, itertools, urllib, urllib2, cStringIO, mysql.connector, shutil, hashlib, socket, urllib2, re
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from PIL import Image
from os import listdir
from os.path import isfile, join
from bs4 import BeautifulSoup
from pprint import pprint

def getPhantomData(parameters):
    try:
        # We create WebDriver
        browser = webdriver.Firefox()
        # Navigate to URL
        browser.get(parameters['target_url'])
        # Find all links by Selector
        links = browser.find_elements_by_css_selector(parameters['selector'])

        result = []
        for link in links:
            # Extract link attribute and append to our list
            result.append(link.get_attribute(parameters['attribute']))
        browser.close()
        browser.quit()
        return json.dumps({'data': result})
    except Exception, err:
        browser.close()
        browser.quit()
        print err

def callback(ch, method, properties, body):
    parameters = json.loads(body)
    message = getPhantomData(parameters)

    if message['data']:
        ch.basic_ack(delivery_tag=method.delivery_tag)
    else:
        ch.basic_reject(delivery_tag=method.delivery_tag, requeue=True)

def consume():
    credentials = pika.PlainCredentials('invitado', 'invitado')
    rabbit = pika.ConnectionParameters('localhost',5672,'/',credentials)
    connection = pika.BlockingConnection(rabbit)
    channel = connection.channel()

    # Conectamos al canal
    channel.queue_declare(queue='com.stuff.images', durable=True)
    channel.basic_consume(callback,queue='com.stuff.images')

    print ' [*] Waiting for messages. To exit press CTRL^C'
    try:
        channel.start_consuming()
    except KeyboardInterrupt:
        pass

workers = 5
pool = multiprocessing.Pool(processes=workers)
for i in xrange(0, workers):
    pool.apply_async(consume)

try:
    while True:
        continue
except KeyboardInterrupt:
    print ' [*] Exiting...'
    pool.terminate()
    pool.join()