Loop not working for scraping data using python and beautifulsoup4

Question

My goal is to scrape data from the PGA website to extract all the golf course locations in the USA. I aim to scrape from the 907 pages the name, address, ownership, phone number, and website.

I have created the script below but when the CSV is created it produces errors. The CSV file created from the script has data repetitions of the first few pages and the pages of the website. It does not give the whole data of the 907 pages.

How can I fix my script so that it will scrape all 907 pages and produce a CSV with all the golf courses listed on the PGA website?

Below is my script:

import csv
import requests 
from bs4 import BeautifulSoup

for i in range(907):      # Number of pages plus one 
     url = "http://www.pga.com/golf-courses/search?page={}&searchbox=Course+Name&searchbox_zip=ZIP&distance=50&price_range=0&course_type=both&has_events=0".format(i)
     r = requests.get(url)
     soup = BeautifulSoup(r.content)
g_data2=soup.find_all("div",{"class":"views-field-nothing"})

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=''
     try:
          website=item.contents[1].find_all("div",{"class":"views-field-website"})[0].text
     except:
          website=''   
     try:
          Phonenumber=item.contents[1].find_all("div",{"class":"views-field-work-phone"})[0].text
     except:
          Phonenumber=''      

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

     with open ('PGA_Data.csv','a') as file:
          writer=csv.writer(file)
          for row in courses_list:
               writer.writerow(row)

Answer 1

Her is the code that you want. It will first parse the current page before going on to the next one. (There are some blank rows, I hope you can fix that yourself).

import csv
import requests 
from bs4 import BeautifulSoup


def encode(l):
    out = []
    for i in l:
        text = str(i).encode('utf-8')
        out.append(''.join([i if ord(i) < 128 else ' ' for i in text])) #taken from Martjin Pieter's answer 
        # http://stackoverflow.com/questions/20078816/replace-non-ascii-characters-with-a-single-space/20078869#20078869
    return out

courses_list = []
for i in range(5):      # Number of pages plus one 
    url = "http://www.pga.com/golf-courses/search?page={}&searchbox=Course+Name&searchbox_zip=ZIP&distance=50&price_range=0&course_type=both&has_events=0".format(i)
    r = requests.get(url)
    soup = BeautifulSoup(r.content)

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

    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=''
        try:
              website= item.contents[1].find_all("div",{"class":"views-field-website"})[0].text
        except:
              website=''   
        try:
              Phonenumber= item.contents[1].find_all("div",{"class":"views-field-work-phone"})[0].text
        except:
              Phonenumber=''      

        course=[name,address1,address2,website,Phonenumber]

        courses_list.append(encode(course))


with open ('PGA_Data.csv','a') as file:
          writer=csv.writer(file)
          for row in courses_list:
               writer.writerow(row)

EDIT : After the inevitable problems of unicode encoding/decoding, I have modified the answer and it will (hopefully) work now. But http://nedbatchelder.com/text/unipain.html see this.