20年初准备投资基金,想爬取基金的业绩数据。
20年基金迎来了爆发式增长,现把代码开源以供参考。
本代码只能实现初步汇总,输出csv文件来保存基金的单位&累计净值,后期仍需要结合统计方法来筛选优质基金。
参考了网上的部分代码,实在不记得出处了,侵删。
import requests import time import execjs start = time.perf_counter() # 获取所有基金编号 def getAllCode(): url = \'http://fund.eastmoney.com/js/fundcode_search.js\' content = requests.get(url) jsContent = execjs.compile(content.text) rawData = jsContent.eval(\'r\') allCode = [] for code in rawData: allCode.append(code[0]) return allCode allCode = getAllCode() del allCode[100:len(allCode)] # print(len(allCode)) # 获取基金编号为fscode的所有信息 def getUrl(fscode): head = \'http://fund.eastmoney.com/pingzhongdata/\' tail = \'.js?v=\' + time.strftime(\"%Y%m%d%H%M%S\", time.localtime()) return head + fscode + tail # 获取净值 def getWorth(fscode): content = requests.get(getUrl(fscode)) jsContent = execjs.compile(content.text) name = jsContent.eval(\'fS_name\') code = jsContent.eval(\'fS_code\') # 单位净值走势 netWorthTrend = jsContent.eval(\'Data_netWorthTrend\') # 累计净值走势 ACWorthTrend = jsContent.eval(\'Data_ACWorthTrend\') # 近一年收益率 Profit_12month = jsContent.eval(\'syl_1n\') netWorth = [] ACWorth = [] for dayWorth in netWorthTrend[::-1]: netWorth.append(dayWorth[\'y\']) for dayACWorth in ACWorthTrend[::-1]: ACWorth.append(dayACWorth[1]) print(name, code) return netWorth, ACWorth netWorthFile = open(\'./netWorth.csv\', \'w\') ACWorthFile = open(\'./ACWorth.csv\', \'w\') for code in allCode: try: netWorth, ACWorth = getWorth(code) except: continue if len(netWorth) <= 0 or len(ACWorth) < 0: # print(code + \" empty data\") continue netWorthFile.write(\"\\\'\" + code + \"\\\',\") netWorthFile.write(\",\".join(list(map(str, netWorth)))) netWorthFile.write(\"\\n\") ACWorthFile.write(\"\\\'\" + code + \"\\\',\") ACWorthFile.write(\",\".join(list(map(str, ACWorth)))) ACWorthFile.write(\"\\n\") # print(\"write \" + code + \" success.\") netWorthFile.close() ACWorthFile.close() end = time.perf_counter() print(\'Running time: %s seconds\' %(end-start))
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