python爬虫实例,股票数据定向爬虫
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2022-09-21 10:17:55
#CrawBaiduStocksA.pyimport requestsfrom bs4 import BeautifulSoupimport tracebackimport re def getHTMLText(url): try: r = requests.get(url) r.raise_for_status() r.encoding = r.apparent_encoding return r.text exc...
前言
我服了,这几天,怎么涨两天还不够跌一次,害。希望这个可以帮到自己!
“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
技术路线:requests‐bs4‐re
候选数据网站的选择
新浪股票:http://finance.sina.com.cn/stock/
百度股票:https://gupiao.baidu.com/stock/
- 选取原则:股票信息静态存在于HTML页面中,非js代码生成;没有Robots协议限制
- 选取方法:浏览器 F12,源代码查看等
-
选取心态:不要纠结于某个网站,多找信息源尝试
请查看视频理解网站的选取过程
数据网站的确定
获取股票列表:
东方财富网:http://quote.eastmoney.com/stocklist.html
获取个股信息:
百度股票:https://gupiao.baidu.com/stock/
单个股票https://gupiao.baidu.com/stock/sz002439.html
程序的结构设计
步骤1:从东方财富网获取股票列表
步骤2:根据股票列表逐个到百度股票获取个股信息
步骤3:将结果存储到文件
“股票数据定向爬虫”实例编写
main()
import requests from bs4 import BeautifulSoup import traceback import re def getHTMLText(url): return "" def getStockList(lst, stockURL): return "" def getStockInfo(lst, stockURL, fpath): return "" def main(): stock_list_url = 'http://quote.eastmoney.com/stocklist.html' stock_info_url = 'http://gupiao.baidu.com/stock/' output_file = 'D:/BaiduStockInfo.txt' slist=[] getStockList(slist, stock_list_url) getStockInfo(slist, stock_info_url, output_file) main()
def getHTMLText(url): try: r = requests.get(url) r.raise_for_status() r.encoding = r.apparent_encoding return r.text except: return ""
东方财富网:http://quote.eastmoney.com/stocklist.html
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
百度股票:https://gupiao.baidu.com/stock/
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
全代码见文末附录
“股票数据定向爬虫”实例优化
如何提高用户体验?
单元小结
附录(本节代码)
#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 = 'http://quote.eastmoney.com/stocklist.html' stock_info_url = 'http://gupiao.baidu.com/stock/' output_file = 'D:/BaiduStockInfo.txt' slist=[] getStockList(slist, stock_list_url) getStockInfo(slist, stock_info_url, output_file) main()
#CrawBaiduStocksB.py 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 = 'http://gupiao.baidu.com/stock/' output_file = 'D:/BaiduStockInfo.txt' slist=[] getStockList(slist, stock_list_url) getStockInfo(slist, stock_info_url, output_file) main()
本文地址:https://blog.csdn.net/haojie_duan/article/details/108228168
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