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使用python爬虫实现网络股票信息爬取的demo

python 搞代码 4年前 (2022-01-08) 17次浏览 已收录 0个评论

下面小编就为大家分享一篇使用python爬虫实现网络股票信息爬取的demo,具有很好的参考价值,希望对大家有所帮助。一起跟随小编过来看看吧

实例如下所示:

 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].t<span style="color:transparent">来源gaodai#ma#com搞*代#码网</span>ext 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()

优化并且加入进度条显示

 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, stockURL, fpath): count = 0 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') count = count + 1 print("\r当前进度: {:.2f}%".format(count * 100 / len(lst)), end="") except: count = count + 1 print("\r当前进度: {:.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, stock_list_url) getStockInfo(slist, stock_info_url, output_file) main()

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