试图获取《财富》 500强公司，但不断出现“ TypeError：'NoneType'对象没有属性'__getitem__'”错误

Question

我无法使用我在github上找到的这段代码来吸引财富500强公司。该代码适用于Fortune global500，但是一旦将URL地址更改为http://fortune.com/fortune500/“ + str（i）+” /“）以获得Fortune500，它就会给我以下错误。

Traceback (most recent call last):
File "<input>", line 78, in <module>
File "<input>", line 47, in grab
TypeError: 'NoneType' object has no attribute '__getitem__'

我对python非常陌生，到目前为止，我的Google搜索没有帮助。

代码：

# -*- coding: utf-8 -*-
# Fortune 1000 grabber. Download and parse companies information

# Import libraries
from bs4 import BeautifulSoup
import urllib2
import json
import re
from urlparse import urljoin
import unicodecsv

# Define class for companies
class Company:
rank = 0
title = ""
ticker = ""
industry = ""
sector = ""
hq_location = ""
website = ""
years_on_list = 0
ceo = ""
eps = 0
employees = 0
revenues = 0
profits = 0
img_url = ""
state_geo_code = ""

# Fortune 1000 graber function
def grab(i):

# Obtaining post id
data = urllib2.urlopen("http://fortune.com/fortune500/" + str(i) + "/")#("http://fortune.com/fortune500/")
soup = BeautifulSoup(data,"html.parser")
postid = next(attr for attr in soup.body['class'] if attr.startswith('postid'))
postid = re.match(r'postid-(\d+)', postid).group(1)

companies = []

# Fetch for pages with data and process JSONs
for i in range(1,51):
    page_url = "http://fortune.com/data/franchise-list/{postid}/{index}/".format(postid=postid,index=str(i))
    page_data = json.load(urllib2.urlopen(page_url), encoding='utf-8')

    # Process JSON data
    for item in page_data["articles"]:
        company = Company()
        company.rank = item["rank"]
        company.title = item["title"]
        company.ticker = item["ticker_text"].upper()
        #company.industry = item["tables"]["Company Info"]["data"]["Industry"][0]
        #company.sector =  item["tables"]["Company Info"]["data"]["Sector"][0]
        #company.hq_location = item["tables"]["Company Info"]["data"]["HQ Location"][0]
        #company.years_on_list = item["tables"]["Company Info"]["data"]["Years on List"][0]
        #company.ceo = item["tables"]["Company Info"]["data"]["CEO"][0]
        #company.eps = item["tables"]["Earnings Per Share"]["data"]["Earnings Per Share ($)"][0]
        #company.employees = item["tables"]["Key Financials (last fiscal year)"]["data"]["Employees"][0]
        #company.revenues = item["tables"]["Key Financials (last fiscal year)"]["data"]["Revenues ($M)"][0]
        #company.profits = item["tables"]["Key Financials (last fiscal year)"]["data"]["Profits ($M)"][0]
        #company.state_geo_code = company.hq_location.split(", ")[1]

        if item["featured_image"] != "":
            company.img_url = item["featured_image"]["src"]

        # Parsing website link
        #s = BeautifulSoup(item["tables"]["Company Info"]["data"]["Website"][0],"html.parser")
        #company.website = s.a.get('href')

        print company.rank + ". " + company.title

        companies.append(company)

return companies

# Obtain companies
for i in range(1995, 2017):
companies = grab(i)

# Saving to CSV
f = open("C:\Users\kourosh.amirkhani\Documents\Reputations and Conservatism\output/fortune" + str(i) + ".csv",
         "wt")

try:
    writer = unicodecsv.writer(f, encoding='utf-8')
    writer.writerow(("Rank", "Title"))

    for company in companies:
        writer.writerow((company.rank, company.title))

finally:
    f.close()

非常感谢您的帮助或建议。