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scraper.py
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import requests
import json
import re
from bs4 import BeautifulSoup as bs
from time import sleep, time
ROOT_URL = "https://apps.ualberta.ca"
MAIN_URL = "https://apps.ualberta.ca/catalogue"
DELAY_TIME = 4
def write_to_file(name_of_file, data):
"""
Writes scraped data a json file.
"""
with open(f'../data/{name_of_file}.json', 'w') as file:
json.dump(data, file)
def get_faculties():
"""
Returns the faculties offered at the university in the following format:
{AR : ['Faculty of Arts', 'https://apps.ualberta.ca/catalogue/faculty/ar'],
AU : ['Augustana Faculty', 'https://apps.ualberta.ca/catalogue/faculty/au']}
"""
catalog_page = requests.get(MAIN_URL).text
course_soup = bs(catalog_page, 'html.parser')
faculty_div = course_soup.find('div', {'class': 'col-md-6'})
faculties = faculty_div.findAll('li')
faculty_data = dict()
for faculty in faculties:
sleep(DELAY_TIME)
faculty_title, faculty_link = [str(faculty.find('a').text), faculty.find('a').get('href')]
faculty_code, faculty_name = faculty_title.split(' - ')
faculty_link = ROOT_URL + faculty_link
faculty_data[faculty_code] = {
"faculty_name": faculty_name,
"faculty_link": faculty_link
}
write_to_file('faculties', faculty_data)
return faculty_data
def get_subjects(faculty_data):
"""
Gets the subjects available from the different faculties.
Key : Value
WKEXP : {'name': 'Work Experience',
'link': 'https://apps.ualberta.ca/catalogue/course/wkexp',
'faculties': ['AH', 'AR', 'BC', 'EN', 'SC']}
"""
# ---------------------------------------------------------------------
# Data about subjects
# E.g. {'code', 'name', 'link', 'faculty'}
subject_data = dict()
for faculty_code, faculty_value in faculty_data.items():
sleep(DELAY_TIME)
faculty_link = faculty_data[faculty_code]["faculty_link"]
faculty_page = requests.get(faculty_link).text
subject_soup = bs(faculty_page, 'html.parser')
subject_div = subject_soup.find('div', {'class': 'col-md-6'})
subjects = subject_div.findAll('li')
for subject in subjects:
subject_title, subject_link = [str(subject.find('a').text), subject.find('a').get('href')]
subject_code, subject_name = subject_title.split(' - ', 1)
subject_link = ROOT_URL + subject_link
subject_data[subject_code] = {}
subject_data[subject_code]["name"] = ''
subject_data[subject_code]['link'] = ''
subject_data[subject_code]['faculties'] = []
for faculty_code, faculty_value in faculty_data.items():
sleep(DELAY_TIME)
faculty_link = faculty_data[faculty_code]["faculty_link"]
faculty_page = requests.get(faculty_link).text
subject_soup = bs(faculty_page, 'html.parser')
subject_div = subject_soup.find('div', {'class': 'col-md-6'})
subjects = subject_div.findAll('li')
for subject in subjects:
subject_title, subject_link = [str(subject.find('a').text), subject.find('a').get('href')]
subject_code, subject_name = subject_title.split(' - ', 1)
subject_link = ROOT_URL + subject_link
subject_data[subject_code]["name"] = subject_name
subject_data[subject_code]["link"] = subject_link
subject_data[subject_code]["faculties"].append(faculty_code)
write_to_file('subjects', subject_data)
return subject_data
def get_courses(subject_data):
"""
Gets the courses in the different subjects of the different faculties.
"""
course_data = dict()
for subject_code, values in subject_data.items():
sleep(DELAY_TIME)
subject_url = subject_data[subject_code]["link"]
subject_page = requests.get(subject_url).text
course_soup = bs(subject_page, 'html.parser')
courses = course_soup.findAll('div', {'class': 'card-body'})
for course in courses:
course_code, course_name = course.find('h4', {'class': 'flex-grow-1'}).text.strip().split('\n')[0].split(' - ', 1)
course_link = ROOT_URL + course.find('a').get('href')
course_weight = course.find('b').text[2:][:2].strip()
# Code is a bit ugly here because there is a bit of an inconsistecy
# due to the nature of some courses not having some of the data
try:
course_fee_index = course.find('b').text[2:].split('fi')[1].split(')')[0].strip()
except:
course_fee_index = None
try:
course_schedule = courses[0].find('b').text[2:].split('fi')[1].split('(')[1].split(',')[0]
except:
course_schedule = None
try:
course_description = course.find('p').text.split('Prerequisite')[0]
except:
course_description = "There is no available course description."
try:
course_hrs_for_lecture = course.find('b').text[2:].split('fi')[1].split('(')[1].split(',')[1].split('-')[0].strip(' )')
except:
course_hrs_for_lecture = None
try:
course_hrs_for_seminar = course.find('b').text[2:].split('fi')[1].split('(')[1].split(',')[1].split('-')[1]
except:
course_hrs_for_seminar = None
try:
course_hrs_for_labtime = course.find('b').text[2:].split('fi')[1].split('(')[1].split(',')[1].split('-')[2].strip(')')
except:
course_hrs_for_labtime = None
try:
course_prerequisites = course.find('p').text.split('Prerequisite')[1]
except:
course_prerequisites = None
# If it is a 100 level class: Junior. Else, Senior.
if course_code.split(' ')[1].startswith('1'):
course_type = 'Junior'
else:
course_type = 'Senior'
# Get rid of the spaces between courses: CMPUT 404 to CMPUT404
course_code = course_code.replace(" ", "")
course_data[course_code] = {
'course_name': course_name,
'course_link': course_link,
'course_description': course_description,
'course_weight': course_weight,
'course_fee_index': course_fee_index,
'course_schedule': course_schedule,
'course_hrs_for_lecture': course_hrs_for_lecture,
'course_hrs_for_seminar': course_hrs_for_seminar,
'course_hrs_for_labtime': course_hrs_for_labtime,
'course_prerequisites': course_prerequisites
}
write_to_file('courses', course_data)
return course_data
def get_class_schedules(course_data):
"""
Get the class schedules for a specific course in the different terms.
Format Eg.:
"CMPUT 404": {
"Spring Term 2021": {
"Lectures": {
"Lecture A1": {
"Code": Int,
"Remote": Boolean,
"Capacity": Int,
"Days": "String",
"Start Date": Date,
"End Date": Date,
"Start Time": DateTime,
"End Time": DateTime,
"Room Number": String
},
"Lecture A2": {
...
}
"Labs": {
"Lab H01": {
"Code": Int,
"Capacity": Int,
"Days": "String",
"Start Date": Date,
"End Date": Date,
"Start Time": DateTime,
"End Time": DateTime,
"Room Number": String
},
"Lab H02": {
...
}
},
"Seminars": {
"Seminar J1": {
"Code": Int,
"Capacity": Int,
"Days": "String",
"Start Date": Date,
"End Date": Date,
"Start Time": DateTime,
"End Time": DateTime,
"Room Number": String
},
"Seminar J2": {
...
}
}
}
},
"Winter Term 2022": {
...
}
}
"""
class_schedules = dict()
for course_code, values in course_data.items():
sleep(DELAY_TIME)
course_url = course_data[course_code]["course_link"]
course_page = requests.get(course_url).text
course_soup = bs(course_page, 'html.parser')
terms = course_soup.findAll('div', {'class': 'card mt-4 dv-card-flat'})
print("------------------------------------------------------------------")
print(f"Currently at {course_url}. ")
print("------------------------------------------------------------------")
class_schedules[course_code] = {}
for term in terms:
term_code = term.find('div', {'class': 'card-header m-0 px-3 pt-3 pb-2 bg-white d-flex'}).text.strip("\n") # Winter Term 2021, Fall Term 2021, Spring Term 2021, Summer Term 2021
term_code = term_code.replace(" Term ", "") # Condensed Name: "Fall Term 2021" --> "Fall2021"
class_schedules[course_code][term_code] = {}
class_types = term.findAll(lambda tag: tag.name == 'div' and tag.get('class') == ['col-12']) # List that has the type of formats the course offers (lectures, labs, seminars)
for class_type in class_types:
class_type_name = class_type.find('h3', {'class': 'mt-2 d-none d-md-block'}).text # Lecture, Seminar or Lab
class_schedules[course_code][term_code][class_type_name] = []
offered_classes = class_type.findAll('div', {'class': 'col-lg-4 col-12 pb-3'})
for classes in offered_classes:
class_info = {}
class_code_and_name = classes.find('strong', {'class': 'mb-0 mt-4'}).text.strip('\n')
class_code = re.search(r"\(([A-Za-z0-9_]+)\)", class_code_and_name).group(1) # Gets the value inside the paranthesis
class_name = class_code_and_name.replace(f'({class_code})', '').strip(' ').strip('\n').strip(' ')
ems = classes.findAll('em')
try:
capacity = ems[0].text.strip("Capacity: ")
except:
capacity = 'NA'
try:
date_time_room_data = ems[1].text.strip("\n")
except:
date_time_room_Data = 'NA'
try:
start_date, end_date = re.findall(r"(\d+-\d+-\d+)", date_time_room_data)
except:
start_date, end_date = ['NA', 'NA']
try:
start_time, end_time = re.findall(r"(\d+:\d+)", date_time_room_data)
except:
start_time, end_time = ['NA', 'NA']
try:
room = re.search(r"\((.*?)\)", date_time_room_data).group(1)
except:
room = 'NA'
if len(ems) == 3: # If Primary Instructor field is provided
try:
primary_instructor = ems[2].find('a').text
primary_instructor_link = ems[2].find('a').get('href')
except:
primary_instructor = 'NA'
primary_instructor_link = 'NA'
else:
primary_instructor = 'TBD'
primary_instructor_link = 'TBD'
try:
pattern = "\n(.*?)\d+"
days = re.search(pattern, date_time_room_data).group(1)
days = list(days.strip(" "))
except:
days = 'NA'
class_info["class_code"] = class_code
class_info["class_name"] = class_name
class_info["capacity"] = capacity
class_info["days"] = days
class_info["start_date"] = start_date
class_info["end_date"] = end_date
class_info["start_time"] = start_time
class_info["end_time"] = end_time
class_info["room"] = room
class_info["primary_instructor"] = primary_instructor
class_info["primary_instructor_link"] = primary_instructor_link
class_schedules[course_code][term_code][class_type_name].append(class_info)
write_to_file('class_schedules_5', class_schedules)
def main():
print("Scraping Faculties...")
faculty_data = get_faculties()
print("Scraping Subjects...")
subject_data = get_subjects(faculty_data)
print("Scraping Courses...")
course_data = get_courses(subject_data)
print("Scraping Class Schedules...")
class_schedules = get_class_schedules(course_data)
print("Done. Check the data folder for scraped data.")
print(end_time - start_time)
if __name__ == "__main__":
main()