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python - 使用 python 抓取 Web 时出错

转载 作者:行者123 更新时间:2023-12-05 05:01:10 25 4
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我正在尝试从 espncricinfo 网站抓取数据我正在请求 IPL 的每场比赛的页面但有时会在 10 场比赛或 20 场甚至 2 场比赛后出现错误,但它没有完成下面是我的代码,我的错误帮助了我。我正在使用 request.get() 方法从给定链接获取网页

import requests 
from bs4 import BeautifulSoup
import html5lib as h5l
import json
import pandas as pd
import os
import time

X = [['ID', 'Season', 'Home', 'Away', 'TossWin', 'TossDec', 'Venue', 'Winner']]

webpages = ["https://stats.espncricinfo.com/ci/engine/records/team/match_results.html?id=2007/08;trophy=117;type=season",
"https://stats.espncricinfo.com/ci/engine/records/team/match_results.html?id=2009;trophy=117;type=season",
"https://stats.espncricinfo.com/ci/engine/records/team/match_results.html?id=2010;trophy=117;type=season",
"https://stats.espncricinfo.com/ci/engine/records/team/match_results.html?id=2011;trophy=117;type=season",
"https://stats.espncricinfo.com/ci/engine/records/team/match_results.html?id=2012;trophy=117;type=season",
"https://stats.espncricinfo.com/ci/engine/records/team/match_results.html?id=2013;trophy=117;type=season",
"https://stats.espncricinfo.com/ci/engine/records/team/match_results.html?id=2014;trophy=117;type=season",
"https://stats.espncricinfo.com/ci/engine/records/team/match_results.html?id=2015;trophy=117;type=season",
"https://stats.espncricinfo.com/ci/engine/records/team/match_results.html?id=2016;trophy=117;type=season",
"https://stats.espncricinfo.com/ci/engine/records/team/match_results.html?id=2017;trophy=117;type=season",
"https://stats.espncricinfo.com/ci/engine/records/team/match_results.html?id=2018;trophy=117;type=season",
"https://stats.espncricinfo.com/ci/engine/records/team/match_results.html?id=2019;trophy=117;type=season"
]

# For Match ID
match_id = 1

# Iterating over Given webpages of Seasonal Match
for page in webpages:
r = requests.get(page)
htmlContent = r.content
soup = BeautifulSoup(htmlContent, 'html.parser')
# print(soup)
# print(soup.prettify)

# Finding link for all Matches Summary in given Season
links = soup.find_all("a", class_ = "data-link", text = "T20")

# Iterating over Matches
for link in links:
# print(link['href'])
r = requests.get("https://stats.espncricinfo.com:443" + link['href'])
# print("https://stats.espncricinfo.com" + link['href'])
htmlContent = r.content
soup = BeautifulSoup(htmlContent, 'html.parser')

#finding Season
Season_var = soup.find("a", class_ = "d-block").getText()
season = Season_var[21:]

#finding Short Names of Teams
teams = []
T = soup.find_all("a", class_ = "team-name")
for tt in T:
teams.append(tt.getText())

# Finding Full Names of Teams
full_team_names = []
TN = soup.find_all("a", class_ = "team-name")
for ttt in TN:
span = ttt.find("span")
full_team_names.append(span['title'])
# print(full_team_names)

# Toss Details
toss_det = soup.find("td", text = "Toss").findNext("td").getText()
toss_det = toss_det.split(',')
toss_det[0] = toss_det[0][:-1]

# Toss Winner
toss_win = ""
# print(toss_det[0],len(toss_det[0]), full_team_names[0], len(full_team_names[0]))
if toss_det[0] == full_team_names[0]:
toss_win = toss_win + "Team 1"
# print(toss_det[0], full_team_names[0])
else:
toss_win = toss_win + "Team 2"
# print(toss_det[0], full_team_names[1])
# print(toss_win)

# Toss Decision
toss_array = toss_det[1].split()
toss_dec = toss_array[2]
# print(toss_dec)

# Finding Ground
full_place = soup.find("td", class_ = "match-venue").getText()
places = full_place.split(',')
stadium = places[0]

# Finding Winner of match
win = ""
winner_tag = soup.find("td", text = "Points").findNext("td").getText()
winner_arr = winner_tag.split(',')
# print(winner_arr[0])
# print(winner_arr[0][-1])
# print(winner_arr[0][:-2])
if winner_arr[0][-1] == 1:
win = win + "Tie"
# print(winner_arr, win)
elif winner_arr[0][:-2] == full_team_names[0]:
win = win + "Team 1"
# print(winner_arr[0][:-2], full_team_names[0], win)
else:
win = win + "Team 2"
# print(winner_arr[0][:-2], full_team_names[1], win)
# print(win)

temp = [match_id, season, teams[0], teams[1], toss_win, toss_dec, stadium, win]
del season, teams, toss_win, toss_dec, stadium, win
match_id = match_id + 1
X.append(temp)
del temp
print("Running", match_id-1)
time.sleep(2)


df = pd.DataFrame(X)
df.to_csv('Matches.csv')
print("Completed")
**Error**:

Running 1
Running 2
Running 3
Traceback (most recent call last):
File "C:\Python38\lib\site-packages\urllib3\connection.py", line 159, in _new_conn
conn = connection.create_connection(
File "C:\Python38\lib\site-packages\urllib3\util\connection.py", line 61, in create_connection
for res in socket.getaddrinfo(host, port, family, socket.SOCK_STREAM):
File "C:\Python38\lib\socket.py", line 918, in getaddrinfo
for res in _socket.getaddrinfo(host, port, family, type, proto, flags):
socket.gaierror: [Errno 11001] getaddrinfo failed

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "C:\Python38\lib\site-packages\urllib3\connectionpool.py", line 670, in urlopen
httplib_response = self._make_request(
File "C:\Python38\lib\site-packages\urllib3\connectionpool.py", line 381, in _make_request
self._validate_conn(conn)
File "C:\Python38\lib\site-packages\urllib3\connectionpool.py", line 976, in _validate_conn
conn.connect()
File "C:\Python38\lib\site-packages\urllib3\connection.py", line 308, in connect
conn = self._new_conn()
File "C:\Python38\lib\site-packages\urllib3\connection.py", line 171, in _new_conn
raise NewConnectionError(
urllib3.exceptions.NewConnectionError: <urllib3.connection.HTTPSConnection object at 0x00000155C7FE7E50>: Failed to establish a new connection: [Errno 11001] getaddrinfo failed

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "C:\Python38\lib\site-packages\requests\adapters.py", line 439, in send
resp = conn.urlopen(
File "C:\Python38\lib\site-packages\urllib3\connectionpool.py", line 724, in urlopen
retries = retries.increment(
File "C:\Python38\lib\site-packages\urllib3\util\retry.py", line 439, in increment
raise MaxRetryError(_pool, url, error or ResponseError(cause))
urllib3.exceptions.MaxRetryError: HTTPSConnectionPool(host='stats.espncricinfo.com', port=443): Max retries exceeded with url: /ci/engine/matnnection: [Errno 11001] getaddrinfo failed'))

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "f:\GITHUB\Web-Scraping\IPL matches data\scraper.py", line 42, in <module>
r = requests.get("https://stats.espncricinfo.com:443" + link['href'])
File "C:\Python38\lib\site-packages\requests\api.py", line 76, in get
return request('get', url, params=params, **kwargs)
File "C:\Python38\lib\site-packages\requests\api.py", line 61, in request
return session.request(method=method, url=url, **kwargs)
File "C:\Python38\lib\site-packages\requests\sessions.py", line 530, in request
resp = self.send(prep, **send_kwargs)
File "C:\Python38\lib\site-packages\requests\sessions.py", line 643, in send
r = adapter.send(request, **kwargs)
File "C:\Python38\lib\site-packages\requests\adapters.py", line 516, in send
raise ConnectionError(e, request=request)
requests.exceptions.ConnectionError: HTTPSConnectionPool(host='stats.espncricinfo.com', port=443): Max retries exceeded with url: /ci/engine/match/335986.html (Caused by NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x00000155C7FE7E50>: Failed to establish a new connection: [Errno 11001] getaddrinfo failed'))```

最佳答案

看起来有防止抓取的保护。

第一步是将 header 添加到您的请求中:

headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:78.0) Gecko/20100101 Firefox/78.0',
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8',
'Accept-Language': 'fr,fr-FR;q=0.8,en-US;q=0.5,en;q=0.3',
'Referer': 'https://www.espncricinfo.com/',
'Upgrade-Insecure-Requests': '1',
'Connection': 'keep-alive',
'Pragma': 'no-cache',
'Cache-Control': 'no-cache',
}

并更改代码中的以下行:

r = requests.get(page, headers = headers)

那么您可能会考虑在请求之间更“随机”地等待:

import random
...
time.sleep(random.random()*10)

toss_det 等于 no_toss 时,它对我来说非常适合你的代码,除了一个错误,但这不是网站相关的问题

关于python - 使用 python 抓取 Web 时出错,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/62820300/

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