I have a subscription to the site https://www.naturalgasintel.com/ for daily feeds of data that show up on their site directly as .txt files; their user login page being https://www.naturalgasintel.com/user/login/
For example a file for today's feed is given by the link https://naturalgasintel.com/ext/resources/Data-Feed/Daily-GPI/2019/01/20190104td.txt and shows up on the site like the picture below:
What I'd like to do is to log in using my user_email and user_password and scrape this data in the form of an Excel file.
When I use Twill to try and 'point' me to the data by first logging me into the site I use this code:
from email.mime.text import MIMEText
from subprocess import Popen, PIPE
import twill
from twill.commands import *
year= NOW[0:4]
month=NOW[5:7]
day=NOW[8:10]
date=(year+month+day)
path = "https://naturalgasintel.com/ext/resources/Data-Feed/Daily-GPI/"
end = "td.txt"
go("http://www.naturalgasintel.com/user/login")
fv("2", "user[email]", user_email)
fv("2", "user[password]", user_password)
fv("2", "commit", "Login")
datafilelocation = path + year + "/" + month + "/" + date + end
go(datafilelocation)
However, logging in from the user login page sends me to this referrer link when I go to the data's location.
https://www.naturalgasintel.com/user/login?referer=%2Fext%2Fresources%2FData-Feed%2FDaily-GPI%2F2019%2F01%2F20190104td.txt
Rather than:
https://naturalgasintel.com/ext/resources/Data-Feed/Daily-GPI/2019/01/20190104td.txt
I've tried using modules like requests as well to log in from the site and then access this data but whatever method I use sends me to the HTML source rather than the .txt data location itself.
I've posted my complete walk-through with the Python 2.7 module Twill which I attached a bounty to here:
Using Twill to grab .txt from login page Python
What would the best solution to being able to access these password protected files be?
