使用python和Beautifulsoup4编写和保存CSV文件以刮取数据

Question

我正试图从PGA.com网站上获取数据,以获得美国所有高尔夫球场的表格.在我的CSV表格中,我想要包括高尔夫球场的名称,地址,所有权,网站,电话号码.有了这些数据,我想对其进行地理编码并放入地图并在我的计算机上安装本地副本

我利用Python和Beautiful Soup4来提取我的数据.我已经达到了从网站提取数据的目的,但是我在编写脚本以将数据导出到显示我需要的参数的CSV文件时遇到了困难.

以下是我的剧本.我需要帮助创建代码,将我提取的代码转换为CSV文件以及如何将其保存到桌面.

这是我的脚本如下:

import csv
import requests 
from bs4 import BeautifulSoup
url = "http://www.pga.com/golf-courses/search?searchbox=Course+Name&searchbox_zip=ZIP&distance=50&price_range=0&course_type=both&has_events=0"
r = requests.get(url)

soup = BeautifulSoup(r.content)

g_data1=soup.find_all("div",{"class":"views-field-nothing-1"})
g_data2=soup.find_all("div",{"class":"views-field-nothing"})


for item in g_data1:
     try:
          print item.contents[1].find_all("div",{"class":"views-field-counter"})[0].text
     except:
          pass  
     try:
          print item.contents[1].find_all("div",{"class":"views-field-course-type"})[0].text
     except:
          pass

for item in g_data2:
   try:
      print item.contents[1].find_all("div",{"class":"views-field-title"})[0].text
   except:
      pass
   try:
      print item.contents[1].find_all("div",{"class":"views-field-address"})[0].text
   except:
      pass
   try:
      print item.contents[1].find_all("div",{"class":"views-field-city-state-zip"})[0].text
   except:
      pass

这是我运行脚本时目前获得的.我想将这些数据转换成CSV表,以便以后进行地理编码.

1801 Merrimac Trl
Williamsburg, Virginia 23185-5905

12551 Glades Rd
Boca Raton, Florida 33498-6830
Preserve Golf Club 
13601 SW 115th Ave
Dunnellon, Florida 34432-5621
1000 Acres Ranch Resort 
465 Warrensburg Rd
Stony Creek, New York 12878-1613
1757 Golf Club 
45120 Waxpool Rd
Dulles, Virginia 20166-6923
27 Pines Golf Course 
5611 Silverdale Rd
Sturgeon Bay, Wisconsin 54235-8308
3 Creek Ranch Golf Club 
2625 S Park Loop Rd
Jackson, Wyoming 83001-9473
3 Lakes Golf Course 
6700 Saltsburg Rd
Pittsburgh, Pennsylvania 15235-2130
3 Par At Four Points 
8110 Aero Dr
San Diego, California 92123-1715
3 Parks Fairways 
3841 N Florence Blvd
Florence, Arizona 85132
3-30 Golf & Country Club 
101 Country Club Lane
Lowden, Iowa 52255
401 Par Golf 
5715 Fayetteville Rd
Raleigh, North Carolina 27603-4525
93 Golf Ranch 
406 E 200 S
Jerome, Idaho 83338-6731
A 1 Golf Center 
1805 East Highway 30
Rockwall, Texas 75087
A H Blank Municipal Course 
808 County Line Rd
Des Moines, Iowa 50320-6706
A-Bar-A Ranch Golf Course 
Highway 230
Encampment, Wyoming 82325
A-Ga-Ming Golf Resort, Sundance 
627 Ag A Ming Dr
Kewadin, Michigan 49648-9397
A-Ga-Ming Golf Resort, Torch 
627 Ag A Ming Dr
Kewadin, Michigan 49648-9397
A. C. Read Golf Club, Bayou 
Bldg 3495, Nas Pensacola
Pensacola, Florida 32508
A. C. Read Golf Club, Bayview 
Bldg 3495, Nas Pensacola
Pensacola, Florida 32508

Answer 1

您真正需要做的就是将输出放在一个列表中,然后使用CSV库导出它.我不完全清楚你是什么意思 - 田野 - 没什么 - 1但只关注视野 - 什么都没有,你可以这样做:

courses_list=[]

for item in g_data2:
   try:
      name=item.contents[1].find_all("div",{"class":"views-field-title"})[0].text
   except:
       name=''
   try:
      address1=item.contents[1].find_all("div",{"class":"views-field-address"})[0].text
   except:
      address1=''
   try:
      address2=item.contents[1].find_all("div",{"class":"views-field-city-state-zip"})[0].text
   except:
      address2=''

   course=[name,address1,address2]
   courses_list.append(course)

这将把课程放在一个列表中,接下来你可以把它们写成如下的cvs:

import csv

with open ('filename.cv','wb') as file:
   writer=csv.writer(file)
   for row in course_list:
      writer.writerow(row)