本文主要是介绍AQI 爬虫_windows版，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！
系统：win10x64+python3.6
注意事项：
webdriver特别是chromedriver的版本要与自己浏览器的版本一致。
time.sleep()是为了保证爬取成功，不然页面会一闪而过，什么都爬不到。
各个模块的下载安装请自行百度。
原网址已加密，需要使用pandas中的read_html函数读取表格内容。
import timeimport pandas as pd
import requests
from bs4 import BeautifulSoup
from urllib import parse
from selenium import webdriverdriver = webdriver.Chrome('D:\ProgramData\Anaconda3\selenium\chromedriver.exe')base_url = 'https://www.aqistudy.cn/historydata/daydata.php?city='
str_city = '北京'def get_month_set():month_set = list()for i in range(1, 10):month_set.append(('2014-0%s' % i))for i in range(10, 13):month_set.append(('2014-%s' % i))for i in range(1, 10):month_set.append(('2015-0%s' % i))for i in range(10, 13):month_set.append(('2015-%s' % i))for i in range(1, 10):month_set.append(('2016-0%s' % i))for i in range(10, 13):month_set.append(('2016-%s' % i))for i in range(1, 10):month_set.append(('2017-0%s' % i))for i in range(10, 13):month_set.append(('2017-%s' % i))return month_setdef get_city_set():str_file = r'city.txt'fp = open(str_file,'rb')city_set = list()for line in fp.readlines():city_set.append(str(line.strip(),encoding='utf-8'))return city_setmonth_set = get_month_set()
city_set = get_city_set()for city in city_set:file_name = city + '.csv'fp = open('aqi/' + file_name, 'w')fp.write('%s,%s,%s,%s,%s,%s,%s,%s,%s\n'%('日期','AQI','质量等级','PM25','PM10','SO2','CO','NO2','O3_8h'))#表头for i in range(len(month_set)):str_month = month_set[i]utf8_city = parse.quote(city)weburl = ('%s%s&month=%s' % (base_url,utf8_city,str_month))driver.get(weburl)time.sleep(1)dfs = pd.read_html(driver.page_source,header = 0)[0]for j in range(0,len(dfs)):date = dfs.iloc[j,0]aqi = dfs.iloc[j,1]grade = dfs.iloc[j,2]pm25 = dfs.iloc[j,3]pm10 = dfs.iloc[j,4]so2 = dfs.iloc[j,5]co = dfs.iloc[j,6]no2 = dfs.iloc[j,7]o3 = dfs.iloc[j,8]fp.write(('%s,%s,%s,%s,%s,%s,%s,%s,%s\n' % (date,aqi,grade,pm25,pm10,so2,co,no2,o3)))print('%d---%s,%s---DONE' % (city_set.index(city), parse.quote(city), str_month))fp.close()
driver.quit()
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