requests.exceptions.HTTPError: 403 Client Error: Forbidden for url

[ahmishra]

The error:

requests.exceptions.HTTPError: 403 Client Error: Forbidden for url: https://data.alpaca.markets/v1/bars/5Min?symbols=AAPL&limit=1000&start=2020-01-01T00%3A00%3A00-04%3A00&end=2020-01-11T23%3A00%3A00-04%3A00

My code:

from datetime import datetime, timedelta
import pandas as pd
from tqdm import tqdm
import time

import alpaca_trade_api as tradeapi

def break_period_in_dates_list(start_date, end_date, days_per_step):
    '''Break period between start_date and end_date in steps of days_per_step days.'''
    step_start_date = start_date
    delta = timedelta(days=days_per_step)
    dates_list = []
    while end_date > (step_start_date + delta):
        dates_list.append((step_start_date, step_start_date+delta))
        step_start_date += delta
    dates_list.append((step_start_date, end_date))
    return dates_list

def format_timestep_list(timestep_list):
    '''Format dates in ISO format plus timezone. Note that first day starts at 00:00 and last day ends at 23:00hs.'''
    for i, d in enumerate(timestep_list):
        timestep_list[i] = (d[0].isoformat() + '-04:00', (d[1].isoformat().split('T')[0] + 'T23:00:00-04:00'))
    return timestep_list

def get_df_from_barset(barset):
    '''Create a Pandas Dataframe from a barset.'''
    df_rows = []
    for symbol, bar in barset.items():
        rows = bar.__dict__.get('_raw')
        for i, row in enumerate(rows):
            row['symbol'] = symbol
        df_rows.extend(rows)

    return pd.DataFrame(df_rows)

def download_data(aps, symbols, start_date, end_date, filename='data.csv'):
    '''Download data from REST manager for list of symbols, from start_date at 00:00hs to end_date at 23:00hs,
    and save it to filename as a csv file.'''
    timesteps = format_timestep_list(break_period_in_dates_list(start_date, end_date, 10))
    df = pd.DataFrame()

    for timestep in tqdm(timesteps):
        barset = aps.get_barset(symbols, '5Min', limit=1000, start=timestep[0], end=timestep[1])
        df = df.append(get_df_from_barset(barset))
        time.sleep(0.1)

    df.to_csv(filename)

# Call method.
aps = tradeapi.REST(key_id     = '8234d8a5df686d085318b14fb6302889', 
                    secret_key = '60d7290794ade03e17595dcebb6d47b58c1aea19',
                    base_url   = 'https://paper-api.alpaca.markets')

download_data(aps        = aps, 
              symbols    = ['AAPL'], 
              start_date = datetime.strptime('01/01/20', '%d/%m/%y'), 
              end_date   = datetime.strptime('01/02/20', '%d/%m/%y'),
              filename    = 'test.csv')

OS: Windows 10 Browser: Edge Python: 3.8.3

Thanks for the help.