目录
一：获取网页重要信息
在要爬取数据信息的网页上，F12进入查看网页内容
二：爬取网页数据
1 导入模块
import requests
from bs4 import BeautifulSoup
import urllib.request
import random2 设置header 防止403资源不可用
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# 设置header 防止产生403forbidden
my_headers = [
"Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.153 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.1; WOW64; rv:30.0) Gecko/20100101 Firefox/30.0",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_2) AppleWebKit/537.75.14 (KHTML, like Gecko) Version/7.0.3 Safari/537.75.14",
"Mozilla/5.0 (compatible; MSIE 10.0; Windows NT 6.2; Win64; x64; Trident/6.0)",
'Mozilla/5.0 (Windows; U; Windows NT 5.1; it; rv:1.8.1.11) Gecko/20071127 Firefox/2.0.0.11',
'Opera/9.25 (Windows NT 5.1; U; en)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 1.1.4322; .NET CLR 2.0.50727)',
'Mozilla/5.0 (compatible; Konqueror/3.5; Linux) KHTML/3.5.5 (like Gecko) (Kubuntu)',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.8.0.12) Gecko/20070731 Ubuntu/dapper-security Firefox/1.5.0.12',
'Lynx/2.8.5rel.1 libwww-FM/2.14 SSL-MM/1.4.1 GNUTLS/1.2.9',
"Mozilla/5.0 (X11; Linux i686) AppleWebKit/535.7 (KHTML, like Gecko) Ubuntu/11.04 Chromium/16.0.912.77 Chrome/16.0.912.77 Safari/535.7",
"Mozilla/5.0 (X11; Ubuntu; Linux i686; rv:10.0) Gecko/20100101 Firefox/10.0 "
]3 抓取网页信息
# 抓取网页信息
def get_content(url, headers):
random_header = random.choice(headers)
req = urllib.request.Request(url)
req.add_header("User-Agent", random_header)
req.add_header("Host", "lishi.tianqi.com")
req.add_header("Referer", "http://lishi.tianqi.com/")
req.add_header("GET", url)
content = urllib.request.urlopen(req).read()
return content4 抓取自己想要获取的数据信息，csv导出
# 三个月份天气的链接
urls = ["http://lishi.tianqi.com/wuhan/202210.html",
"http://lishi.tianqi.com/wuhan/202211.html",
"http://lishi.tianqi.com/wuhan/202212.html"]
file = open('weather.csv', 'w')
for url in urls:
response = get_content(url, my_headers)
soup = BeautifulSoup(response, 'html.parser')
weather_list = soup.select('ul[class="thrui"]')
for weather in weather_list:
ul_list = weather.select('li')
for ul in ul_list:
li_list = ul.select('div')
str = ""
for li in li_list:
str += li.string + ','
file.write(str + '\n')
file.close()测试：
运行程序后，生成csv，可以拷贝至桌面自己查看下是否成功爬取
可以获取到网页上有关天气的数据信息
三：源码分享
import requests
from bs4 import BeautifulSoup
import urllib.request
import random
# 设置header 防止产生403forbidden
my_headers = [
"Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.153 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.1; WOW64; rv:30.0) Gecko/20100101 Firefox/30.0",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_2) AppleWebKit/537.75.14 (KHTML, like Gecko) Version/7.0.3 Safari/537.75.14",
"Mozilla/5.0 (compatible; MSIE 10.0; Windows NT 6.2; Win64; x64; Trident/6.0)",
'Mozilla/5.0 (Windows; U; Windows NT 5.1; it; rv:1.8.1.11) Gecko/20071127 Firefox/2.0.0.11',
'Opera/9.25 (Windows NT 5.1; U; en)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 1.1.4322; .NET CLR 2.0.50727)',
'Mozilla/5.0 (compatible; Konqueror/3.5; Linux) KHTML/3.5.5 (like Gecko) (Kubuntu)',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.8.0.12) Gecko/20070731 Ubuntu/dapper-security Firefox/1.5.0.12',
'Lynx/2.8.5rel.1 libwww-FM/2.14 SSL-MM/1.4.1 GNUTLS/1.2.9',
"Mozilla/5.0 (X11; Linux i686) AppleWebKit/535.7 (KHTML, like Gecko) Ubuntu/11.04 Chromium/16.0.912.77 Chrome/16.0.912.77 Safari/535.7",
"Mozilla/5.0 (X11; Ubuntu; Linux i686; rv:10.0) Gecko/20100101 Firefox/10.0 "
]
# 抓取网页信息
def get_content(url, headers):
random_header = random.choice(headers)
req = urllib.request.Request(url)
req.add_header("User-Agent", random_header)
req.add_header("Host", "lishi.tianqi.com")
req.add_header("Referer", "http://lishi.tianqi.com/")
req.add_header("GET", url)
content = urllib.request.urlopen(req).read()
return content
# 三个月份天气的链接
urls = ["http://lishi.tianqi.com/wuhan/202210.html",
"http://lishi.tianqi.com/wuhan/202211.html",
"http://lishi.tianqi.com/wuhan/202212.html"]
file = open('weather.csv', 'w')
for url in urls:
response = get_content(url, my_headers)
soup = BeautifulSoup(response, 'html.parser')
weather_list = soup.select('ul[class="thrui"]')
for weather in weather_list:
ul_list = weather.select('li')
for ul in ul_list:
li_list = ul.select('div')
str = ""
for li in li_list:
str += li.string + ','
file.write(str + '\n')
file.close()