Last active
September 7, 2017 05:22
-
-
Save JohnAZoidberg/90a0c17f612463a5eef5d8b95311ae12 to your computer and use it in GitHub Desktop.
Dualis Grades Webscraper
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#!/usr/bin/env bash | |
python3 dualis.py it11111@lehre.dhbw-stuttgart.de 'pa$$w0rd' > new || exit 1 | |
if [ ! -f old ]; then | |
cp new old | |
fi | |
diff new old | |
cp new old |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#!/usr/bin/env python3 | |
import requests | |
from lxml import html | |
import pandas as pd | |
import sys | |
user_agent = { | |
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/60.0.3112.113 Safari/537.36" | |
} | |
base = "https://dualis.dhbw.de" | |
results = "/scripts/mgrqcgi?APPNAME=CampusNet&PRGNAME=COURSERESULTS&ARGUMENTS=-N187631396865802,-N000307," | |
def get_session_cookie(): | |
home = "/scripts/mgrqcgi?APPNAME=CampusNet&PRGNAME=EXTERNALPAGES&ARGUMENTS=-N000000000000001,-N000324,-Awelcome" | |
r = requests.get(base + home) | |
return r.cookies | |
def login(session_cookie, login_data): | |
form = "/scripts/mgrqcgi" | |
hidden_fields = { | |
"APPNAME" :"CampusNet", | |
"PRGNAME" :"LOGINCHECK", | |
"ARGUMENTS" :"clino,usrname,pass,menuno,menu_type,browser,platform", | |
"clino" :"000000000000001", | |
"menuno" :"000324", | |
"menu_type" :"classic", | |
"browser" :"", | |
"platform" :"" | |
} | |
data = {**hidden_fields, **login_data, **user_agent} | |
r = requests.post(base + form, data=data, cookies=session_cookie) | |
refresh = r.headers["refresh"][7:] | |
return refresh | |
def print_r(r): | |
print(r.text) | |
print("") | |
print(r.status_code) | |
print("") | |
print(r.headers) | |
print("") | |
print(r.cookies) | |
def follow_redirects(session_cookie, refresh): | |
r = requests.get(base + refresh, cookies=session_cookie) | |
tree = html.fromstring(r.content) | |
refresh = tree.xpath('//meta[@http-equiv="refresh"]')[0].get("content")[6:] | |
r = requests.get(base + refresh, cookies=session_cookie) | |
return r | |
def get_pruefungsergebnisse(session_cookie, home_page): | |
tree = html.fromstring(home_page.content) | |
pruefungsergebnisse = tree.cssselect("li#link000307 > a")[0].get("href") | |
r = requests.get(base + pruefungsergebnisse, cookies=session_cookie) | |
return r | |
def get_totals(r): | |
tables = pd.read_html(r.content) | |
endnoten = tables[0][["Name", "Endnote"]] | |
return endnoten.to_string(index=False, header=False) | |
def get_individual_results(session_cookie, r): | |
pruefungsergebnisse = html.fromstring(r.content) | |
urls = ([pruefungsergebnisse.cssselect("a#Popup_details000{}".format(i))[0].get("href") for i in range(1, 9)]) | |
for url in urls: | |
r = requests.get(base + url, cookies=session_cookie) | |
tree = html.fromstring(r.content) | |
title = tree.xpath('//h1/text()')[0] | |
print(title) | |
tables = pd.read_html(r.content) | |
grades = tables[0][[1, 3]] | |
grades = grades.dropna() | |
print(grades.to_string(index=False, header=False)) | |
def main(): | |
login_data = { | |
"usrname": sys.argv[1], | |
"pass": sys.argv[2] | |
} | |
# GET the main site to acquire a valid session cookie | |
session_cookie = get_session_cookie() | |
# POST the login request | |
refresh = login(session_cookie, login_data) | |
# follow all redirects to get to the welcome page | |
home_page = follow_redirects(session_cookie, refresh) | |
# GET the results overview | |
r = get_pruefungsergebnisse(session_cookie, home_page) | |
# print the total of each course | |
print("Overview:") | |
print(get_totals(r)) | |
print(get_individual_results(session_cookie, r)) | |
if __name__ == "__main__": | |
main() |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment