当我试图抓取这个网站的多个页面时，我没有得到任何内容。我通常会检查以确保我创建的所有列表的长度相等，但所有列表都返回为len = 0。
我用过类似的代码来抓取其他网站，那么为什么这个代码不能正常工作呢？
我尝试过一些解决方案，但没有达到我的目的：本答案中建议的requests.Session()解决方案，本答案中推荐的.json解决方案。
import requests
from requests import get
from bs4 import BeautifulSoup
import pandas as pd
from time import sleep
from random import randint
from googletrans import Translator
translator = Translator()
rg = []
ctr_n = []
ctr = []
yr = []
mn = []
sub = []
cst_n = []
cst = []
mag = []
pty_n = []
pty = []
can = []
pev1 = []
vot1 = []
vv1 = []
ivv1 = []
to1 = []
cv1 = []
cvs1 = []
pv1 = []
pvs1 = []
pev2 = []
vot2 = []
vv2 = []
ivv2 = []
to2 = []
cv2 = []
cvs2 =[]
pv2 = []
pvs2 = []
seat = []
no_info = []
manual = []
START_PAGE = 1
END_PAGE = 42
for page in range(START_PAGE, END_PAGE + 1):
page = requests.get("https://sejmsenat2019.pkw.gov.pl/sejmsenat2019/en/wyniki/sejm/okr/" + str(page))
page.encoding = page.apparent_encoding
if not page:
pass
else:
soup = BeautifulSoup(page.text, 'html.parser')
tbody = soup.find_all('table', class_='table table-borderd table-striped table-hover dataTable no-footer clickable right2 right4')
sleep(randint(2,10))
for container in tbody:
col1 = container.find_all('tr', {'data-id':'26079'})
for info in col1:
col_1 = info.find_all('td')
for data in col_1:
party = data[0]
party_trans = translator.translate(party)
pty_n.append(party_trans)
pvotes = data[1]
pv1.append(pvotes)
pshare = data[2]
pvs1.append(pshare)
mandates = data[3]
seat.append(mandates)
col2 = container.find_all('tr', {'data-id':'26075'})
for info in col2:
col_2 = info.find_all('td')
for data in col_2:
party2 = data[0]
party_trans2 = translator.translate(party2)
pty_n.append(party_trans2)
pvotes2 = data[1]
pv1.append(pvotes2)
pshare2 = data[2]
pvs1.append(pshare2)
mandates2 = data[3]
seat.append(mandates2)
col3 = container.find_all('tr', {'data-id':'26063'})
for info in col3:
col_3 = info.find_all('td')
for data in col_3:
party3 = data[0].text
party_trans3 = translator.translate(party3)
pty_n.extend(party_trans3)
pvotes3 = data[1].text
pv1.extend(pvotes3)
pshare3 = data[2].text
pvs1.extend(pshare3)
mandates3 = data[3].text
seat.extend(mandates3)
col4 = container.find_all('tr', {'data-id':'26091'})
for info in col4:
col_4 = info.find_all('td',recursive=True)
for data in col_4:
party4 = data[0]
party_trans4 = translator.translate(party4)
pty_n.extend(party_trans4)
pvotes4 = data[1]
pv1.extend(pvotes4)
pshare4 = data[2]
pvs1.extend(pshare4)
mandates4 = data[3]
seat.extend(mandates4)
col5 = container.find_all('tr', {'data-id':'26073'})
for info in col5:
col_5 = info.find_all('td')
for data in col_5:
party5 = data[0]
party_trans5 = translator.translate(party5)
pty_n.extend(party_trans5)
pvotes5 = data[1]
pv1.extend(pvotes5)
pshare5 = data[2]
pvs1.extend(pshare5)
mandates5 = data[3]
seat.extend(mandates5)
col6 = container.find_all('tr', {'data-id':'26080'})
for info in col6:
col_6 = info.find_all('td')
for data in col_6:
party6 = data[0]
party_trans6 = translator.translate(party6)
pty_n.extend(party_trans6)
pvotes6 = data[1]
pv1.extend(pvotes6)
pshare6 = data[2]
pvs1.extend(pshare6)
mandates6 = data[3]
seat.extend(mandates6)
#### TOTAL VOTES ####
tfoot = soup.find_all('tfoot')
for data in tfoot:
fvote = data.find_all('td')
for info in fvote:
votefinal = info.find(text=True).get_text()
fvoteindiv = [votefinal]
fvotelist = fvoteindiv * (len(pty_n) - len(vot1))
vot1.extend(fvotelist)
#### CONSTITUENCY NAMES ####
constit = soup.find_all('a', class_='btn btn-link last')
for data in constit:
names = data.get_text()
names_clean = names.replace("Sejum Constituency no.","")
names_clean2 = names_clean.replace("[","")
names_clean3 = names_clean2.replace("]","")
namesfinal = names_clean3.split()[1]
constitindiv = [namesfinal]
constitlist = constitindiv * (len(pty_n) - len(cst_n))
cst_n.extend(constitlist)
#### UNSCRAPABLE INFO ####
region = 'Europe'
reg2 = [region]
reglist = reg2 * (len(pty_n) - len(rg))
rg.extend(reglist)
country = 'Poland'
ctr2 = [country]
ctrlist = ctr2 * (len(pty_n) - len(ctr_n))
ctr_n.extend(ctrlist)
year = '2019'
yr2 = [year]
yrlist = yr2 * (len(pty_n) - len(yr))
yr.extend(yrlist)
month = '10'
mo2 = [month]
molist = mo2 * (len(pty_n) - len(mn))
mn.extend(molist)
codes = ''
codes2 = [codes]
codeslist = codes2 * (len(pty_n) - len(manual))
manual.extend(codeslist)
noinfo = '-990'
noinfo2 = [noinfo]
noinfolist = noinfo2 * (len(pty_n) - len(no_info))
no_info.extend(noinfolist)
print(len(rg), len(pty_n), len(pv1), len(pvs1), len(no_info), len(vot1), len(cst_n))
poland19 = pd.DataFrame({
'rg' : rg,
'ctr_n' : ctr_n,
'ctr': manual,
'yr' : yr,
'mn' : mn,
'sub' : manual,
'cst_n': cst_n,
'cst' : manual,
'mag': manual,
'pty_n': pty_n,
'pty': manual,
'can': can,
'pev1': no_info,
'vot1': vot1,
'vv1': vot1,
'ivv1': no_info,
'to1': no_info,
'cv1': no_info,
'cvs1': no_info,
'pv1': cv1,
'pvs1': cvs1,
'pev2': no_info,
'vot2': no_info,
'vv2': no_info,
'ivv2': no_info,
'to2': no_info,
'cv2': no_info,
'cvs2': no_info,
'pv2' : no_info,
'pvs2' : no_info,
'seat' : manual
})
print(poland19)
poland19.to_csv('poland_19.csv')
如前所述，您可能需要使用Selenium。你可以用以下内容替换请求库和请求语句：
from selenium import webdriver
wd = webdriver.Chrome('pathToChromeDriver') # or any other Browser driver
wd.get(url) # instead of requests.get()
soup = BeautifulSoup(wd.page_source, 'html.parser')
您需要按照以下链接中的说明安装和实现selenium-lib：https://selenium-python.readthedocs.io/
注意：我用selenium测试了你的代码，我能够得到你想要的表，但用class_=。。。由于某种原因不起作用。相反，浏览抓取的数据，我发现它有一个属性id。所以也许也可以试试这个：
tbody = soup.find_all('table', id="DataTables_Table_0")
再次，通过使用seleniumlib执行get请求。希望有帮助：(干杯