2017-12-27 444 views
0

尋求幫助,以循環訪問網站上的所有選項卡以捕獲所有相關信息。Python Web Scrape Cycle選項卡

在以下站點中,有幾個標籤分別標記爲5x5,5x10x5,10x10等。我不確定如何構造它,以便它會通過選項卡並在我的腳本中編寫循環。感謝您的幫助。

下面是python腳本;

from urllib.request import urlopen as uReq 
from bs4 import BeautifulSoup as soup 
import csv 

urls = [ 
    'https://www.lifestorage.com/storage-units/florida/orlando/32810/610-near-lockhart/?size=5x5' 
] 

filename = 'life_storage.csv' 

f = open(filename, 'a+') 
csv_writer = csv.writer(f) 

headers = ['unit_size', 'unit_type', 'description', 'online_price', 'reg_price', 'store_address', 'store_city', 'store_state', 'store_postalcode' ] 

##unit_size = 5'x10' withouth the ' 
##unit_type = climate controlled or not (this could be blank if non-climate) 
##descirption = the level it's on and type of access. 
##online_price = $##/mo text 
##reg_price = the scratched off $## text 

csv_writer.writerow(headers) 

for my_url in urls: 
    uClient = uReq(my_url) 
    page_html = uClient.read() 
    uClient.close() 
    page_soup = soup(page_html, 'html.parser') 


    store_locator = page_soup.findAll("div", {"itemprop": "address"}) 
    containers = page_soup.findAll("ul", {"id": "spaceList"}) 

    for container in containers: 
     for store_location in store_locator: 
      store_address1 = store_location.find("span", {"itemprop": "streetAddress"}) 
      store_address = store_address1.text 
      store_city1 = store_location.find("span", {"itemprop": "addressLocality"}) 
      store_city = store_city1.text 
      store_state1 = store_location.find("span", {"itemprop": "addressRegion"}) 
      store_state = store_state1.text 
      store_postalcode1 = store_location.find("span", {"itemprop": "postalCode"}) 
      store_postalcode = store_postalcode1.text 
      title_container = container.find("div", {"class": "storesRow"}) 
      unit_size = title_container.text 
      unit_container = container.find("div", {"class": "storesRow"}) 
      unit_type = unit_container.strong.text 
      description_container = container.find("ul", {"class": "features"}) 
      description = description_container.text 
      online_price_container = container.find("div", {"class": "priceBox"}) 
      online_price = online_price_container.strong.text 
      reg_price_container = container.find("div", {"class": "priceBox"}) 
      reg_price = reg_price_container.i.text 

     csv_writer.writerow([unit_size, unit_type, description, online_price, reg_price, store_address, store_city, store_state, store_postalcode]) 

f.close() 

下面是與循環相關的html正文的片段;

//////////\\\\\\\Description BOX 
 

 

 

 
<div class="storesRow"> 
 
    <strong> 
 
<a href="/reservation/choose/?store=610&amp;type=1"> 5' x 5'<sup>*</sup> - Climate Controlled </a> 
 
</strong> 
 
    <ul class="features"> 
 
     <li>Indoor access</li> 
 
     <li>Ground Level</li> 
 
    </ul> 
 
</div> 
 

 

 

 
//////////\\\\\\\\\PRICE BOX 
 

 
<div class="priceBox"> 
 
<strong> 
 

 
             $25/mo 
 

 

 

 

 

 
               <i> $27</i> 
 
</strong> 
 
<em class="pOnly ">Phone &amp; online only</em> 
 
<div class="specialsMessage"> 
 
</div> 
 
</div> 
 

 

 
//////////\\\\\\\\\ADDRESS BOX 
 

 

 
<div itemprop="address" itemscope="" itemtype="https://schema.org/PostalAddress"> 
 
<em> 
 
<i class="fa fa-map-marker"></i> 
 
<span itemprop="streetAddress">7244 Overland Rd </span> 
 
<span itemprop="addressLocality">Orlando</span>, 
 

 
     <span itemprop="addressRegion">FL</span> 
 
<span itemprop="postalCode">32810</span> 
 
</em> 
 
</div>

電流輸出 enter image description here

所需的輸出 enter image description here

+0

你有什麼期望的輸出? –

+0

@ Paul - 我編輯了目前的輸出結果和我想要的結果。這將遍歷所有選項卡,因此對​​於每個新的大小,它將被放在適當標題下的新行中。 –

+0

你有錯誤的注意 - '''writerow()'應該在'for'內部 - 然後它應該把所有項目添加到你的列表中。 – furas

回答

0

你錯了凹痕 - writerow()應該是內for內。

但它可能需要更多工作才能從項目中擠出正確的文本。請參閱代碼。

from urllib.request import urlopen as uReq 
from bs4 import BeautifulSoup as soup 
import csv 

urls = [ 
    'https://www.lifestorage.com/storage-units/florida/orlando/32810/610-near-lockhart/?size=5x5' 
] 

filename = 'life_storage.csv' 

f = open(filename, 'a+') 
csv_writer = csv.writer(f) 

headers = ['unit_size', 'unit_type', 'description', 'online_price', 'reg_price', 'store_address', 'store_city', 'store_state', 'store_postalcode' ] 

##unit_size = 5'x10' withouth the ' 
##unit_type = climate controlled or not (this could be blank if non-climate) 
##descirption = the level it's on and type of access. 
##online_price = $##/mo text 
##reg_price = the scratched off $## text 

csv_writer.writerow(headers) 

for my_url in urls: 
    uClient = uReq(my_url) 
    page_html = uClient.read() 
    uClient.close() 
    page_soup = soup(page_html, 'html.parser') 

    store_location = page_soup.find("div", {"itemprop": "address"}) 

    # need `li` 
    containers = page_soup.find("ul", {"id": "spaceList"}).findAll('li') 
    print('len(containers):', len(containers)) 

    item = store_location.find("span", {"itemprop": "streetAddress"}) 
    store_address = item.text.strip() 

    item = store_location.find("span", {"itemprop": "addressLocality"}) 
    store_city = item.text.strip() 

    item = store_location.find("span", {"itemprop": "addressRegion"}) 
    store_state = item.text.strip() 

    item = store_location.find("span", {"itemprop": "postalCode"}) 
    store_postalcode = item.text.strip() 

    for container in containers: 
     item = container.find("div", {"class": "storesRow"}) 

     if item and item.strong: 
      text = item.strong.text.strip() 
      parts = text.split('-') 
      if len(parts) > 0: 
       unit_size = parts[0].strip().replace('*', "") 
      else: 
       unit_size = '' 

      if len(parts) > 1: 
       unit_type = parts[1].strip() 
      else: 
       unit_type = '' 
     else: 
      continue 

     item = container.find("ul", {"class": "features"}) 

     if item: 
      description = item.text.strip().replace("\n", ',') 
     else: 
      description = '' 

     item = container.find("div", {"class": "priceBox"}) 

     if item and item.i: 
      reg_price = item.i.text.strip() 
     else: 
      reg_price = '' 

     if item and item.strong: 
      if item.i: 
       item.i.extract() # remove <i>` 
      online_price = item.strong.text.strip() 
     else: 
      online_price = '' 

     csv_writer.writerow([unit_size, unit_type, description, online_price, reg_price, store_address, store_city, store_state, store_postalcode]) 

f.close() 

結果:

unit_size,unit_type,description,online_price,reg_price,store_address,store_city,store_state,store_postalcode 
5' x 5',Climate Controlled,"Indoor access,Ground Level",$25/mo,$27,7244 Overland Rd,Orlando,FL,32810 
5' x 5',,"Outdoor/Drive-up access,Ground Level",Check for Availability,,7244 Overland Rd,Orlando,FL,32810 
5' x 10',,"Outdoor/Drive-up access,Ground Level",$46/mo,$50,7244 Overland Rd,Orlando,FL,32810 
10' x 5',Climate Controlled,"Indoor access,Ground Level",$57/mo,$62,7244 Overland Rd,Orlando,FL,32810 
5' x 10',Climate Controlled,"Indoor access,Ground Level",$67/mo,$73,7244 Overland Rd,Orlando,FL,32810 
5' x 10',,"Outdoor/Drive-up access,Ground Level",Check for Availability,,7244 Overland Rd,Orlando,FL,32810 
5' x 15',Climate Controlled,"Indoor access,Ground Level",$69/mo,$75,7244 Overland Rd,Orlando,FL,32810 
10' x 10',,"Outdoor/Drive-up access,Ground Level",$105/mo,$115,7244 Overland Rd,Orlando,FL,32810 
10' x 10',Climate Controlled,"Indoor access,Ground Level",$105/mo,$115,7244 Overland Rd,Orlando,FL,32810 
10' x 10',Climate Controlled,"Indoor access,Ground Level",$124/mo,$136,7244 Overland Rd,Orlando,FL,32810 
10' x 15',,"Outdoor/Drive-up access,Ground Level",$144/mo,$158,7244 Overland Rd,Orlando,FL,32810 
10' x 16',,"Outdoor/Drive-up access,Ground Level",$145/mo,$159,7244 Overland Rd,Orlando,FL,32810 
10' x 15',Climate Controlled,"Indoor access,Ground Level",$149/mo,$163,7244 Overland Rd,Orlando,FL,32810 
10' x 18',,"Outdoor/Drive-up access,Ground Level",$149/mo,$163,7244 Overland Rd,Orlando,FL,32810 
10' x 15',Climate Controlled,"Indoor access,Ground Level",Check for Availability,,7244 Overland Rd,Orlando,FL,32810 
10' x 20',,"Outdoor/Drive-up access,Ground Level",$147/mo,$161,7244 Overland Rd,Orlando,FL,32810 
10' x 25',Climate Controlled,"Indoor access,Ground Level",$175/mo,$192,7244 Overland Rd,Orlando,FL,32810 
10' x 20',Climate Controlled,"Indoor access,Ground Level",Check for Availability,,7244 Overland Rd,Orlando,FL,32810 
10' x 28',,"Outdoor/Drive-up access,Ground Level",Check for Availability,,7244 Overland Rd,Orlando,FL,32810 
41' x 41',,"Outdoor/Drive-up access,Ground Level",$1400/mo,$1540,7244 Overland Rd,Orlando,FL,32810 
22' x 25',,"Outdoor/Drive-up access,Ground Level",Check for Availability,,7244 Overland Rd,Orlando,FL,32810 
18' x 38',,"Outdoor/Drive-up access,Ground Level",Check for Availability,,7244 Overland Rd,Orlando,FL,32810 
+0

@ Furas - Dziękuję –