實例如下所示：

import requests

from bs4 import BeautifulSoup

import traceback

import re

def getHTMLText(url):

try:

r = requests.get(url)

r.raise_for_status()

r.encoding = r.apparent_encoding

return r.text

except:

return ""

def getStockList(lst,stockURL):

html = getHTMLText(stockURL)

soup = BeautifulSoup(html,'html.parser')

a = soup.find_all('a')

for i in a:

try:

href = i.attrs['href']

lst.append(re.findall(r"[s][hz]\d{6}",href)[0])

except:

continue

def getStockInfo(lst,stockURL,fpath):

for stock in lst:

url = stockURL + stock + ".html"

html = getHTMLText(url)

try:

if html=="":

continue

infoDict = {}

soup = BeautifulSoup(html,'html.parser')

stockInfo = soup.find('div',attrs={'class':'stock-bets'})

name = stockInfo.find_all(attrs={'class':'bets-name'})[0]

infoDict.update({'股票名稱': name.text.split()[0]})

keyList = stockInfo.find_all('dt')

valueList = stockInfo.find_all('dd')

for i in range(len(keyList)):

key = keyList[i].text

val = valueList[i].text

infoDict[key] = val

with open(fpath,'a',encoding='utf-8') as f:

f.write( str(infoDict) + '\n' )

except:

traceback.print_exc()

continue

def main():

stock_list_url = 'http://quote.eastmoney.com/stocklist.html'

stock_info_url = 'https://gupiao.baidu.com/stock/'

output_file = 'D:/BaiduStockInfo.txt'

slist=[]

getStockList(slist,stock_list_url)

getStockInfo(slist,stock_info_url,output_file)

main()

優化并且加入進度條顯示

import requests

from bs4 import BeautifulSoup

import traceback

import re

def getHTMLText(url,code="utf-8"):

try:

r = requests.get(url)

r.raise_for_status()

r.encoding = code

return r.text

except:

return ""

def getStockList(lst,stockURL):

html = getHTMLText(stockURL,"GB2312")

soup = BeautifulSoup(html,'html.parser')

a = soup.find_all('a')

for i in a:

try:

href = i.attrs['href']

lst.append(re.findall(r"[s][hz]\d{6}",href)[0])

except:

continue

def getStockInfo(lst,fpath):

count = 0

for stock in lst:

url = stockURL + stock + ".html"

html = getHTMLText(url)

try:

if html == "":

continue

infoDict = {}

soup = BeautifulSoup(html,attrs={'class': 'stock-bets'})

name = stockInfo.find_all(attrs={'class': 'bets-name'})[0]

infoDict.update({'股票名稱': name.text.split()[0]})

keyList = stockInfo.find_all('dt')

valueList = stockInfo.find_all('dd')

for i in range(len(keyList)):

key = keyList[i].text

val = valueList[i].text

infoDict[key] = val

with open(fpath,encoding='utf-8') as f:

f.write(str(infoDict) + '\n')

count = count + 1

print("\r當前進度: {:.2f}%".format(count * 100 / len(lst)),end="")

except:

count = count + 1

print("\r當前進度: {:.2f}%".format(count * 100 / len(lst)),end="")

continue

def main():

stock_list_url = 'http://quote.eastmoney.com/stocklist.html'

stock_info_url = 'https://gupiao.baidu.com/stock/'

output_file = 'BaiduStockInfo.txt'

slist = []

getStockList(slist,output_file)

main()

以上這篇使用python爬蟲實現網絡股票信息爬取的demo就是小編分享給大家的全部內容了，希望能給大家一個參考，也希望大家多多支持編程小技巧。

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