Method Steps of Obtaining Fund Data in Batch by Python

At the beginning of 20 years, I prepared to invest in the fund and wanted to crawl the performance data of the fund.

In the past 20 years, the fund has experienced explosive growth, and now the code is open source for reference.

This code can only achieve preliminary summary, output csv file to save the unit of the fund & Accumulated net value, it is still necessary to combine statistical methods to screen high-quality funds in the later period.

Refer to some codes on the Internet, but I really don't remember the source, so I invaded and deleted it.

import requests
import time
import execjs
start = time.perf_counter()

#  Get all fund numbers 
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))

#  The Acquisition Fund number is fscode All the information of 
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

#  Acquisition of net worth 
def getWorth(fscode):
  content = requests.get(getUrl(fscode))
  jsContent = execjs.compile(content.text)

  name = jsContent.eval('fS_name')
  code = jsContent.eval('fS_code')
  #  Trend of unit net value 
  netWorthTrend = jsContent.eval('Data_netWorthTrend')
  #  Trend of cumulative net value 
  ACWorthTrend = jsContent.eval('Data_ACWorthTrend')
  #  Near 1 Annual rate of return 
  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))