如何加快网页抓取？

Question

我正在处理网上报废公司的数据。我的代码太慢了，所以我正在尝试并发期货。我不知道自己缺少什么。这是输入文本文件3_1.txt：

AQ VENTURA PVT. LTD.
AQLU LEARNING PVT LTD
Aqquarate Solutions
Aqua Centric Pvt Ltd
AQUA EASY INFO TECH
Aqua Filmtec Pvt ltd
aqua sms
Aqua Soft Water Systems
AQUA SPA

这是我的代码：

import requests
import pandas as pd
from bs4 import BeautifulSoup
import concurrent.futures

headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.14; rv:65.0) Gecko/20100101 Firefox/65.0'}

with open('3_1.txt', 'r') as f_in:
    companies = [line.strip() for line in f_in if line.strip()]

all_data = []
threads = 2

for company in companies:
    print(company)


def data(company):
    soup = BeautifulSoup(
        requests.get('https://google.com/search', params={'q': company, 'hl': 'en'}, headers=headers).content,
        'html.parser')
    address = soup.select_one('.LrzXr')
    if address:
        address = address.text
    else:
        address = 'Not Found'
    phone = soup.select_one('.LrzXr.zdqRlf.kno-fv')
    if phone:
        phone = phone.text
    else:
        phone = 'Not Found'

    all_data.append({"Company": company, "Address": address, "Phone": phone})


with concurrent.futures.ThreadPoolExecutor(max_workers=threads) as executor:
    executor.map(data, company)

df = pd.DataFrame(all_data)
df.to_csv('Companydata.csv')

我得到了输出，但它并不重要。 请帮我。谢谢。