yahoo finance 크롤링

야후 파이낸스에서 일봉정보를 크롤링해 봅시다.

GIST 가기

ya_fi.py

 

import requests
import datetime as pydatetime
import time
import datetime
import json

url = "https://apidojo-yahoo-finance-v1.p.rapidapi.com/stock/v2/get-historical-data"

toDate = datetime.date.today()
fromDate = toDate - datetime.timedelta(days=10)
# print (fromDate.__format__("%Y-%m-%d"))
# print (str(toDate))

fromdateTimestamp = (datetime.datetime.strptime(str(fromDate), "%Y-%m-%d").timestamp())
todateTimestamp = (datetime.datetime.strptime(str(toDate), "%Y-%m-%d").timestamp())
szFromtDate = str(fromdateTimestamp).replace(".0","")
szToDate = str(todateTimestamp).replace(".0","")
szSearhItem = "020150.KS" #일진머트리얼즈  "019170.KS" #신풍제약  "011930.KS" #신성이엔지 

querystring = {"frequency":"1d","filter":"history","period1":szFromtDate,"period2":szToDate,"symbol":szSearhItem}
# print (querystring)

headers = {
    'x-rapidapi-host': "apidojo-yahoo-finance-v1.p.rapidapi.com",
    'x-rapidapi-key': "insert api key"
    }

response = requests.request("GET", url, headers=headers, params=querystring)

# print(response.text)
str_list = []
data = json.loads(response.text)
#print (data["prices"])
for item in data["prices"]:
    str_list.append( datetime.datetime.fromtimestamp(item["date"]).strftime("%Y-%m-%d"))
    str_list.append("일 => ")
    str_list.append(item["close"])
    str_list.append(" 원\n")

print("".join(str(v) for v in str_list))

 

끝~