文章截图均来自中国大学mooc Python网络爬虫与信息提取的教程,以上仅作为我的个人学习笔记。下面是教程链接:
目的:获得上交所和深交所所有的股票名称和交易信息
输出:保存到文件中
技术路线:requests-bs4-re
候选网站:静态的:目前还没有找到,老师提供的界面现在用不了了
选取方法:浏览器F12
例子1:新浪股票
程序结构设计步骤:
代码:
#CrawBaiduStocksA.py
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({'股票名称': 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 = 'https://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()
注意:现在这个用不了了,但是可以学习下程序是如何实现requests-bs4-re这三个库对于静态html文件的解析、爬取、正则表达式的书写规范。