A simple Python example was written for us by Femto Trader. There is a small example, more information you can find on GitHub, check python-eodhistoricaldata.
import requests
import pandas as pd
from io import StringIO
def get_eod_data(symbol=”AAPL.US”, api_token=”xxxx”, session=None):
if session is None:
session = requests.Session()
url = ‘https://eodhistoricaldata.com/api/eod/%s’ % symbol
params = {“api_token”: api_token}
r = session.get(url, params=params)
if r.status_code == requests.codes.ok:
df = pd.read_csv(StringIO(r.text), skipfooter=1, parse_dates=[0], index_col=0, engine=’python’)
return df
else:raise Exception(r.status_code, r.reason, url)
You can download data simply using
df = get_eod_data(“AAPL.US”)
And if you want to avoid too much data consumption, you can use a cache mechanism
import datetime
import requests_cache
expire_after = datetime.timedelta(days=1)
session = requests_cache.CachedSession(cache_name=’cache’, backend=’sqlite’, expire_after=expire_after)
df = get_eod_data(“AAPL.US“, session=session)
Great thanks to Femto Trader (Github) and don’t forget about the full python example python-eodhistoricaldata.