010 Python网络爬虫与信息提取 股票数据定向爬虫
[A]股票数据定向爬虫实例介绍
功能描述
目标:获取上交所和深交所所有股票的名称和交易信息
输出:保存到文件中
候选网站:
1. 新浪股票:https://finance.sina.com.cn/
2. 百度股票:https://gupiao.baidu.com/stock/
候选网站选取:
选取原则:互票信息静态的存储于HTML页面中,而非js代码生成,没有robots协议限制
选取方法:浏览器F12,源代码查看
选取心态:不纠结于某个网站,多找信息源尝试
程序设计
步骤1:从东方财富网获取股票信息列表
步骤2:根据股票列表诸葛到百度股票获取个股信息
步骤3:将结果存储于到文件中
[B] 股票数据定向爬虫实例编写
# 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()