我们的Python代码在6个月前完全正常运行。半年后，出现以下错误：
SessionNotCreatedException：消息：未创建会话：此版本的ChromeDriver仅支持Chrome版本74 （驱动程序信息：chromedriver = 74.0.3729.6（255758eccf3d244491b8a1317aa76e1ce10d57e9-refs / branch-heads / 3729 @ {＃29}），platform = Windows NT 10.0.17763 x86_64）
根据此article，听起来Chrome每隔几个月更新一次，而我们可能安装了错误的Chrome版本。但是，多篇文章中的许多解决方案并没有太大变化（将在底部更详细地介绍）。
这是我的代码中最有可能出现此问题的地方：
import requests #API package for Chrome
import json #Package to send json data variables JavaScript variables
import pandas as pd #Data frames
import csv # Excel *.csv IO
import datetime as dt # date and time
import os #DOS operating system
from time import sleep #sleep function
from selenium import webdriver #internet web scraping
from selenium.webdriver.common.keys import Keys #internet web scraping
# set up the profile
profile = webdriver.ChromeOptions() # This is how we configure the Chom browser
prefs = {"download.default_directory": r'C:\Users\Trading\Documents\Python\dcm_trading\weather',
"download.prompt_for_download": False,
"download.directory_upgrade": True,
"safebrowsing.enabled": True}
profile.add_experimental_option('prefs',prefs) #configureig Chrome browser
driver = webdriver.Chrome(executable_path=r'C:\Users\Trading\Documents\Python\dcm_trading\chromedriver.exe', options=profile) # crg ariver.
os.chdir(r'C:\Users\Trading\Documents\Python\dcm_trading\weather')
我尝试过的事情： 在桌面位置C {\ Users \ Trading \ Documents \ Python \ dcm_trading \ chromedriver.exe中替换Chromedriver version。以防万一我们现在使用的版本错误。
完整代码（6个月前有效！）：
import requests #API package for Chrome
import json #Package to send json data variables JavaScript variables
import pandas as pd #Data frames
import csv # Excel *.csv IO
import datetime as dt # date and time
import os #DOS operating system
from time import sleep #sleep function
from selenium import webdriver #internet web scraping
from selenium.webdriver.common.keys import Keys #internet web scraping
api_key = '48d0585eb93c6d74105b8707996390e1' #Open weather API, ot used
# The largest cities in North America
city_name = ['Atlanta','Baltimore','Boston','Charlotte','Chicago','Dallas','Denver','Detroit','Houston','Indianapolis','Kansas City','Los Angeles','Miami','Minneapolis','Montreal','Nashville','New York','Philadelphia','Phoenix','Pittsburgh','Portland','Riverside','Saint Louis','San Diego','San Francisco','Seattle','Tampa','Toronoto','Vancouver','Washingotn DC']
#indicies for each city on weather.com
city_id = [4180439,4347778,4930956,4460243,4887398,4684888,5419384,4990729,4699066,4259418,4393217,5368361,4164138,5037649,6077243,4644585,4560349,5128581,5308655,5206379,5746545,5387877,4407066,5391811,5391959,5809844,4174757,6167865,6173331,4366164]
#urls for each city in weather.com
city_url = ['https://weather.com/weather/tenday/l/USGA0028:1:US',
'https://weather.com/weather/tenday/l/USMD0018:1:US',
'https://weather.com/weather/tenday/l/USMA0046:1:US',
'https://weather.com/weather/tenday/l/USNC0121:1:US',
'https://weather.com/weather/tenday/l/USIL0225:1:US',
'https://weather.com/weather/tenday/l/USTX0327:1:US',
'https://weather.com/weather/tenday/l/USCO0105:1:US',
'https://weather.com/weather/tenday/l/USMI0229:1:US',
'https://weather.com/weather/tenday/l/USTX0617:1:US',
'https://weather.com/weather/tenday/l/USIN0305:1:US',
'https://weather.com/weather/tenday/l/USMO0460:1:US',
'https://weather.com/weather/tenday/l/USCA0638:1:US',
'https://weather.com/weather/tenday/l/USFL0316:1:US',
'https://weather.com/weather/tenday/l/USMN0503:1:US',
'https://weather.com/weather/tenday/l/CAXX0301:1:CA',
'https://weather.com/weather/tenday/l/USTN0357:1:US',
'https://weather.com/weather/tenday/l/USNY0981:1:US',
'https://weather.com/weather/tenday/l/USPA1276:1:US',
'https://weather.com/weather/tenday/l/USAZ0166:1:US',
'https://weather.com/weather/tenday/l/USPA1290:1:US',
'https://weather.com/weather/tenday/l/USOR0275:1:US',
'https://weather.com/weather/tenday/l/USCA0949:1:US',
'https://weather.com/weather/tenday/l/USMO0787:1:US',
'https://weather.com/weather/tenday/l/USCA0982:1:US',
'https://weather.com/weather/tenday/l/USCA0987:1:US',
'https://weather.com/weather/tenday/l/USWA0395:1:US',
'https://weather.com/weather/tenday/l/USFL0481:1:US',
'https://weather.com/weather/tenday/l/CAXX0504:1:CA',
'https://weather.com/weather/tenday/l/CAXX0518:1:CA',
'https://weather.com/weather/tenday/l/USDC0001:1:US']
# set up the profile
profile = webdriver.ChromeOptions() # This is how we configure the Chom browser
prefs = {"download.default_directory": r'C:\Users\Trading\Documents\Python\dcm_trading\weather',
"download.prompt_for_download": False,
"download.directory_upgrade": True,
"safebrowsing.enabled": True}
profile.add_experimental_option('prefs',prefs) #configureig Chrome browser
driver = webdriver.Chrome(executable_path=r'C:\Users\Trading\Documents\Python\dcm_trading\chromedriver.exe', options=profile) # crg ariver.
os.chdir(r'C:\Users\Trading\Documents\Python\dcm_trading\weather')
with open('weather_' + str(pd.Timestamp.today())[0:10] + '.csv','w',newline='') as csvfile: #output file for weather data.
spamwriter = csv.writer(csvfile, delimiter=',') # class to write to csv files.
spamwriter.writerow(['city_id','city_name','datetime','offset','temp_high','temp_low']) # header row of the output file.
for i in range(0,len(city_url)): #Grab the data from the site (Cycle through each city)
print(pd.Timestamp.today())
driver.get(city_url[i]) #Go to the url for each city.
print(city_url[i])
print(pd.Timestamp.today())
for j in range(1,16): # cycling through the 16 dayts.
# Grab high, low, and date for each city.
high = driver.find_element_by_css_selector('#twc-scrollabe > table > tbody > tr:nth-child(' + str(j) + ') > td.temp > div > span:nth-child(1)').text
low = driver.find_element_by_css_selector('#twc-scrollabe > table > tbody > tr:nth-child(' + str(j) + ') > td.temp > div > span:nth-child(3)').text
date = driver.find_element_by_css_selector('#twc-scrollabe > table > tbody > tr:nth-child(' + str(j) + ') > td:nth-child(2) > div > span').text
#auth > div > div > div > div > div > form > button
#twc-scrollabe > table > tbody > tr:nth-child(1) > td:nth-child(2) > div > span
#twc-scrollabe > table > tbody > tr:nth-child(2) > td:nth-child(2) > div > span
#converts a string to an integer
if high[0] == '-':
temp_high = 0
else:
temp_high = int(high[0:-1])
if low[0] == '-':
temp_low = 0
else:
temp_low = int(low[0:-1])
#write out the row for each day.
spamwriter.writerow([ city_id[i] , city_name[i] , date , (j-1) , temp_high , temp_low ])
#file closed