创建一个for循环，使用beautifulsoup从多个url中抓取多个页面

Question

我正在尝试从多个url有效地抓取多个页面。我已经能够从一个URL成功抓取多个页面，但无法实现这多个URL。任何帮助都将非常感激。谢谢你。

当前循环代码:

BASE = 'https://www.unegui.mn'
URL = f'{BASE}/l-hdlh/l-hdlh-zarna/oron-suuts-zarna/5-r/?page='
COLUMNS=['Name','Date','Address','District','City','Price','Area_sqm','Rooms','Floor','Commission_year',
'Building_floors','Garage', 'Balcony','Windows','Window_type','Floor_type','door_type','Leasing','Description','Link']
with requests.Session() as session:
while True:
(r := session.get(f'{URL}{page+1}')).raise_for_status()
m = re.search('.*page=(d+)$', r.url)
if m and int(m.group(1)) == page:
break
page += 1
print(f'Scrapping page {page}')

期望URL循环:

每个url唯一改变的是1-r, 2-r, 3-r部分。url的总数为5.

URL = [f'{BASE}/l-hdlh/l-hdlh-zarna/oron-suuts-zarna/1-r/?page=',
f'{BASE}/l-hdlh/l-hdlh-zarna/oron-suuts-zarna/2-r/?page=',
f'{BASE}/l-hdlh/l-hdlh-zarna/oron-suuts-zarna/3-r/?page=',
f'{BASE}/l-hdlh/l-hdlh-zarna/oron-suuts-zarna/4-r/?page=',
f'{BASE}/l-hdlh/l-hdlh-zarna/oron-suuts-zarna/5-r/?page='
]

完整代码:

import requests
from bs4 import BeautifulSoup as BS
from datetime import datetime
import pandas as pd
import re
import csv
today = datetime.today().strftime('%y%m%d ')
def main():
page = 0
name = []
date = []
address = []
district = []
city = []
price = []
area_sqm = []
rooms = []
floor = []
commission_year = []
building_floors = []
garage = []
balcony = []
windows = []
window_type = []
floor_type = []
door_type = []
leasing = []
description = []
link = []
BASE = 'https://www.unegui.mn'
URL = f'{BASE}/l-hdlh/l-hdlh-zarna/oron-suuts-zarna/5-r/?page='
COLUMNS=['Name','Date','Address','District','City','Price','Area_sqm','Rooms','Floor','Commission_year',
'Building_floors','Garage', 'Balcony','Windows','Window_type','Floor_type','door_type','Leasing','Description','Link']
with requests.Session() as session:
while True:
(r := session.get(f'{URL}{page+1}')).raise_for_status()
m = re.search('.*page=(d+)$', r.url)
if m and int(m.group(1)) == page:
break
page += 1
print(f'Scrapping page {page}')
soup = BS(r.text, 'lxml')
for tag in soup.findAll('div', class_='list-announcement-block'):
_name = tag.find('a', attrs={'itemprop': 'name'})
name.append(_name.get('content', 'N/A'))
if (_link := _name.get('href', None)):
link.append(f'{BASE}{_link}')
(_r := session.get(link[-1])).raise_for_status()
_spanlist = BS(_r.text, 'lxml').find_all('span', class_='value-chars')
floor_type.append(_spanlist[0].get_text().strip())
balcony.append(_spanlist[1].get_text().strip())
garage.append(_spanlist[2].get_text().strip())
window_type.append(_spanlist[3].get_text().strip())
door_type.append(_spanlist[4].get_text().strip())   
windows.append(_spanlist[5].get_text().strip())

_alist = BS(_r.text, 'lxml').find_all('a', class_='value-chars')
commission_year.append(_alist[0].get_text().strip())
building_floors.append(_alist[1].get_text().strip())
area_sqm.append(_alist[2].get_text().strip())
floor.append(_alist[3].get_text().strip())
leasing.append(_alist[4].get_text().strip())
district.append(_alist[5].get_text().strip())
address.append(_alist[6].get_text().strip())

rooms.append(tag.find('div', attrs={'announcement-block__breadcrumbs'}).get_text().split('»')[1].strip())
description.append(tag.find('div', class_='announcement-block__description').get_text().strip())
date.append(tag.find('div', class_='announcement-block__date').get_text().split(',')[0].strip())
city.append((tag.find('meta', attrs={'itemprop': 'areaServed'})).get('content'))
if (_price := tag.find('meta', attrs={'itemprop': 'price'})) is None:
_price = tag.find('div', class_='announcement-block__price _premium')
price.append(_price.get_text().strip() if _price else 'N/A')
df = pd.DataFrame(zip(name, date, address, district, city, 
price, area_sqm, rooms, floor, commission_year,
building_floors, garage, balcony, windows, window_type,
floor_type, door_type, leasing, description, link), columns=COLUMNS)
return(df)
if __name__ == '__main__':
df = main()
df.to_csv(f'{today}HPD.csv', encoding='cp1251', errors='ignore', index=False)

Answer 1

您可以将for loops与Python的range()函数结合使用。

range()函数提供了一个基于函数参数的整数序列。

range(start, stop[, step])

参数是范围中的第一个值。如果调用range()时只带一个参数，则Python假定为start = 0。

参数是范围的上界。重要的是要意识到这个上限值不包括在范围内。.

的例子:

for i in range(1, 6):
BASE = 'https://www.unegui.mn'
URL = f'{BASE}/l-hdlh/l-hdlh-zarna/oron-suuts-zarna/{i}-r/?page='
print(URL)

输出:

https://www.unegui.mn/l-hdlh/l-hdlh-zarna/oron-suuts-zarna/1-r/?page=
https://www.unegui.mn/l-hdlh/l-hdlh-zarna/oron-suuts-zarna/2-r/?page=
https://www.unegui.mn/l-hdlh/l-hdlh-zarna/oron-suuts-zarna/3-r/?page=
https://www.unegui.mn/l-hdlh/l-hdlh-zarna/oron-suuts-zarna/4-r/?page=
https://www.unegui.mn/l-hdlh/l-hdlh-zarna/oron-suuts-zarna/5-r/?page=