Write Code Questions

1. Write a function called cur_stud_link that takes in a parameter url and uses BeautifulSoup to return the URL that links to Current Students in the Navigation Bar. For example, cur_stud_link('https://umich.edu/') should return "https://umich.edu/current-students/".

   from bs4 import BeautifulSoup import requests def cur_stud_link(url): ==== import unittest import requests from bs4 import BeautifulSoup def f_cur_stud_link(url): r = requests.get(url) soup = BeautifulSoup(r.text, 'html.parser') # inspect Current Students to get the details text = soup.find('a', text = "Current Students") info = text.get('href') all_info = "https://umich.edu" + info return all_info class myTests(unittest.TestCase): def testOne(self): url = 'https://umich.edu/' self.assertEqual(cur_stud_link(url), f_cur_stud_link(url), f'cur_stud_link({url})') unittest.main()

   Write a function called cur_stud_link that takes in a parameter url and uses BeautifulSoup to return the URL that links to Current Students in the Navigation Bar. For example, cur_stud_link('https://umich.edu/') should return "https://umich.edu/current-students/".

   from bs4 import BeautifulSoup import requests def cur_stud_link(url): r = requests.get(url) soup = BeautifulSoup(r.text, 'html.parser') # inspect Current Students to get the details text = soup.find('a', text = "Current Students") info = text.get('href') all_info = "https://umich.edu" + info return all_info print(cur_stud_link('https://umich.edu/'))

2. Write a function called headings that takes in a parameter url and uses BeautifulSoup to return a list of all heading names (not subheadings) from the Contents box (History, Emergence of MOOC providers, Student experience and pedagogy, etc.). For example, headings('https://en.wikipedia.org/wiki/Massive_open_online_course') should return a list of headings like: ['History', 'Emergence of MOOC providers', 'Student experience and pedagogy', 'Information architecture', 'Industry', 'Benefits', 'Challenges and criticisms', 'See also', 'References', 'Further reading', 'External links']. Since we are scraping a live site the actual values may be different.

   from bs4 import BeautifulSoup import requests def headings(url): ==== import unittest import requests from bs4 import BeautifulSoup def f_headings(url): h_list = [] r = requests.get(url) soup = BeautifulSoup(r.text, 'html.parser') hs = soup.find_all('li', class_='toclevel-1') for tag in hs: a_tag = tag.find('a') h = a_tag.find('span', class_='toctext').text h_list.append(h) return h_list class myTests(unittest.TestCase): def testOne(self): url = 'https://en.wikipedia.org/wiki/Massive_open_online_course' self.assertEqual(headings(url),f_headings(url),f"headings({url})") unittest.main()

3. Write a function called coursera_dict that takes in a parameter url, uses BeautifulSoup to web scrape the Coursera enrollees table, and returns a dictionary with Country as keys and Percentage as values. For example, coursera_dict('https://en.wikipedia.org/wiki/Massive_open_online_course') should return a dictionary like: {'United States': '27.7%', 'India': '8.8%', 'Brazil': '5.1%', 'United Kingdom': '4.4%', 'Spain': '4.0%', 'Canada': '3.6%', 'Australia': '2.3%', 'Russia': '2.2%', 'Rest of world': '41.9%'}. Since we are scraping a live site the actual values may be different.

   from bs4 import BeautifulSoup import requests def coursera_dict(url): ==== import unittest from bs4 import BeautifulSoup import requests def f_coursera_dict(url): coursera_enrollees = {} r = requests.get(url) soup = BeautifulSoup(r.text, 'html.parser') tag = soup.find('table', class_='wikitable') rows = tag.find_all('tr') for row in rows[1:]: cols = row.find_all("td") key = cols[0].text value = cols[1].text.rstrip() coursera_enrollees[key] = value return coursera_enrollees class myTests(unittest.TestCase): def testOne(self): url = 'https://en.wikipedia.org/wiki/Massive_open_online_course' self.assertEqual(coursera_dict(url), f_coursera_dict(url), f'coursera_dict({url})') unittest.main()

   Write a function called coursera_dict that takes in a parameter url, uses BeautifulSoup to web scrape the Coursera enrollees table, and returns a dictionary with Country as keys and Percentage as values. For example, coursera_dict('https://en.wikipedia.org/wiki/Massive_open_online_course') should return {'United States': '27.7%', 'India': '8.8%', 'Brazil': '5.1%', 'United Kingdom': '4.4%', 'Spain': '4.0%', 'Canada': '3.6%', 'Australia': '2.3%', 'Russia': '2.2%', 'Rest of world': '41.9%'}.

   from bs4 import BeautifulSoup import requests def coursera_dict(url): coursera_enrollees = {} r = requests.get(url) soup = BeautifulSoup(r.text, 'html.parser') tag = soup.find('table', class_='wikitable') rows = tag.find_all('tr') for row in rows[1:]: cols = row.find_all("td") key = cols[0].text value = cols[1].text.rstrip() coursera_enrollees[key] = value return coursera_enrollees print(coursera_dict('https://en.wikipedia.org/wiki/Massive_open_online_course'))

4. Write a function called types that takes in a parameter url, uses BeautifulSoup to web scrape the Summary of Python 3’s built-in types table, and returns a list of the types. For example, types('https://en.wikipedia.org/wiki/Python_(programming_language)') should return a list of string like: ['bool', 'bytearray', 'bytes', 'complex', 'dict', 'types.EllipsisType', 'float', 'frozenset', 'int', 'list', 'types.NoneType', 'types.NotImplementedType', 'range', 'set', 'str', 'tuple']. Since we are scraping a live site the actual values may be different.

   from bs4 import BeautifulSoup import requests def types(url): ==== import unittest from bs4 import BeautifulSoup import requests def f_types(url): types = [] r = requests.get(url) soup = BeautifulSoup(r.text, 'html.parser') table = soup.find('table', class_ = 'wikitable') rows = table.find_all('tr') for row in rows[1:]: all_columns = row.find_all("td") p_type = all_columns[0] code = p_type.find('code') one_type = code.text.rstrip() types.append(one_type) return types class myTests(unittest.TestCase): def testOne(self): url = 'https://en.wikipedia.org/wiki/Python_(programming_language)' self.assertEqual(types(url), f_types(url), f'types({url})') unittest.main()

5. Write a function called restaurants_list that takes in a parameter url, uses BeautifulSoup to web scrape the 12 essential Ann Arbor restaurants, and returns a list of the 12 best Ann Arbor restaurants. For example, restaurants_list('https://detroit.eater.com/maps/best-ann-arbor-restaurants') should return a list of restaurants like: ['1. Salt Springs Brewery', "2. Knight's Steakhouse", '3. The Last Word', "4. Krazy Jim's Blimpy Burger", '5. Blue Llama Jazz Club', '6. Spencer', '7. Miss Kim', "8. Zingerman's Delicatessen", '9. Tomukun Noodle Bar', '10. Ricewood', '11. Bellflower', "12. Ma Lou's Fried Chicken"]. Since we are scraping a live site the actual values may be different.

   from bs4 import BeautifulSoup import requests def restaurants_list(url): ==== import unittest from bs4 import BeautifulSoup import requests def f_restaurants_list(url): r_list = [] r = requests.get(url) soup = BeautifulSoup(r.text, 'html.parser') rest_list = soup.find_all('div', class_ = "c-mapstack__card-hed") for rest in rest_list: r_list.append(rest.text.strip().rstrip("Copy Link").rstrip()) return r_list class myTests(unittest.TestCase): def testOne(self): url = 'https://detroit.eater.com/maps/best-ann-arbor-restaurants' self.assertEqual(restaurants_list(url), f_restaurants_list(url), f"restaurants_list({url})") unittest.main()

   Write a function called restaurants_list that takes in a parameter url, uses BeautifulSoup to web scrape the 12 essential Ann Arbor restaurants’ names, and returns a list of the 12 best Ann Arbor restaurants in 2019. For example, restaurants_list('https://detroit.eater.com/maps/best-ann-arbor-restaurants') should return ["1. Knight's Steakhouse", '2. The Last Word', "3. Krazy Jim's Blimpy Burger", '4. Blue Llama Jazz Club', '5. Spencer', '6. Miss Kim', "7. Zingerman's Delicatessen", '8. Tomukun Noodle Bar', '9. Seoul Street', '10. Ricewood', '11. Bellflower', "12. Ma Lou's Fried Chicken"].

   from bs4 import BeautifulSoup import requests def restaurants_list(url): r_list = [] r = requests.get(url) soup = BeautifulSoup(r.text, 'html.parser') rest_list = soup.find_all('div', class_ = "c-mapstack__card-hed") for rest in rest_list: r_list.append(rest.text.strip().rstrip("Copy Link").rstrip()) return r_list print(restaurants_list('https://detroit.eater.com/maps/best-ann-arbor-restaurants'))

6. Write a function called bsi_list that takes in a parameter url, uses BeautifulSoup to web scrape the section names and subsection names under Programs Bachelor of Science in Information, and returns a list of the section names and subsection names under Programs Bachelor of Science in Information. For example, bsi_list('https://www.si.umich.edu/programs/bachelor-science-information') should return a list like: ['How do I apply?', 'Current U-M students', 'Transfer students', 'High school students', 'New transfers', 'Curriculum', 'Career outcomes', 'Internships', 'Career development resources', 'Engaged learning', 'Tuition and funding', 'Connect with us', "Accelerated Master's Degree Program", 'Study abroad for undergraduates', 'Exchange student information']. Since we are scraping a live site the actual values may be different.

   from bs4 import BeautifulSoup import requests import re def bsi_list(url): ==== import unittest import requests from bs4 import BeautifulSoup def f_bsi_list(url): list1 = [] r = requests.get(url) soup = BeautifulSoup(r.text, 'html.parser') sections = soup.find_all('a', href = re.compile("/programs/bachelor-science-information/")) for section in sections[:-2]: list1.append(section.text.strip()) return list1 class myTests(unittest.TestCase): def testOne(self): url = 'https://www.si.umich.edu/programs/bachelor-science-information' self.assertEqual(bsi_list(url),f_bsi_list(url),f'bsi_list({url}),' unittest.main()

7. Write a function called bsi_dict that takes in a parameter url, uses BeautifulSoup to web scrape and create a list of the section names and subsection names under Programs Bachelor of Science in Information, and returns a dictionary that contains the names as keys and their full urls as values. For example, bsi_dict('https://www.si.umich.edu/programs/bachelor-science-information') should return a dictionary like: {'How do I apply?': 'https://www.si.umich.edu//programs/bachelor-science-information/how-do-i-apply', 'Current U-M students': 'https://www.si.umich.edu//programs/bachelor-science-information/how-do-i-apply/cross-campus-transfer', 'Transfer students': 'https://www.si.umich.edu//programs/bachelor-science-information/how-do-i-apply/new-transfer-students-bsi', 'High school students': 'https://www.si.umich.edu//programs/bachelor-science-information/how-do-i-apply/preferred-admissions', ... 'Exchange student information': 'https://www.si.umich.edu//programs/bachelor-science-information/exchange-student-information'}. Since we are scraping a live site the actual values may be different.

   from bs4 import BeautifulSoup import requests import re def bsi_dict(url): ==== import unittest import requests import re def f_bsi_dict(url): bsi_dict = {} r = requests.get(url) soup = BeautifulSoup(r.text, 'html.parser') sections = soup.find_all('a', href = re.compile("/programs/bachelor-science-information/")) for section in sections[:-2]: key = section.text.strip() value = "https://www.si.umich.edu/" + section.get('href') bsi_dict[key] = value return bsi_dict class myTests(unittest.TestCase): def testOne(self): url = 'https://www.si.umich.edu/programs/bachelor-science-information' self.assertEqual(bsi_dict(url),f_bsi_dict(url), f'bsi_dict({url})') unittest.main()

   Write a function called bsi_dict that takes in a parameter url, uses BeautifulSoup to web scrape and create a list of the section names and subsection names under Programs Bachelor of Science in Information, and returns a dictionary that contains the names as keys and their full urls as values. For example, bsi_dict('https://www.si.umich.edu/programs/bachelor-science-information') should return a dictionary like: {'How do I apply?': 'https://www.si.umich.edu//programs/bachelor-science-information/how-do-i-apply', 'Current U-M students': 'https://www.si.umich.edu//programs/bachelor-science-information/how-do-i-apply/cross-campus-transfer', 'Transfer students': 'https://www.si.umich.edu//programs/bachelor-science-information/how-do-i-apply/new-transfer-students-bsi', 'High school students': 'https://www.si.umich.edu//programs/bachelor-science-information/how-do-i-apply/preferred-admissions', ... 'Exchange student information': 'https://www.si.umich.edu//programs/bachelor-science-information/exchange-student-information'}. Since we are scraping a live site the actual values may be different.

   from bs4 import BeautifulSoup import requests import re def bsi_dict(url): bsi_dict = {} r = requests.get(url) soup = BeautifulSoup(r.text, 'html.parser') sections = soup.find_all('a', href = re.compile("/programs/bachelor-science-information/")) for section in sections[:-2]: key = section.text.strip() value = "https://www.si.umich.edu/" + section.get('href') bsi_dict[key] = value return bsi_dict print(bsi_dict('https://www.si.umich.edu/programs/bachelor-science-information'))

8. Write a function called envelope_address that takes in a parameter url and uses BeautifulSoup to web scrape and return the address text in the footer as a list. For example, envelope_address('https://www.si.umich.edu/programs/bachelor-science-information') should return a list like: ['School of Information', 'University of Michigan', '105 S State St.', 'Ann Arbor, MI 48109-1285']. Since we are scraping a live site the actual values may be different.

   from bs4 import BeautifulSoup import requests def envelope_address(url): ==== import unittest import requests from bs4 import BeautifulSoup def f_envelope_address(url): r = requests.get(url) soup = BeautifulSoup(r.text, 'html.parser') address = soup.find('div', class_ = 'footer--address').text add_list = address.strip().split("\n") out_list = [] for add_line in add_list: out_list.append(add_line.strip()) return out_list class myTests(unittest.TestCase): def testOne(self): url = 'https://www.si.umich.edu/programs/bachelor-science-information' self.assertEqual(envelope_address(url), f_envelope_address(url), f'envelope_address({url})') unittest.main()

9. Write a function called name_email that takes in a parameter url, uses BeautifulSoup to web scrape the names and email addresses, and returns a dictionary with the names as keys and the email addresses as values. Use the string replace method while web scraping to get rid of “”n n”. For example, name_email('https://www.si.umich.edu/people/directory/faculty/e') should return {'Paul Edwards': 'pne@umich.edu', 'Ron Eglash': 'eglash@umich.edu', 'Nicole Ellison': 'enicole@umich.edu', 'Barbara Ericson': 'barbarer@umich.edu'}.

   from bs4 import BeautifulSoup import requests ==== def f_name_email(url): r = requests.get(url) soup = BeautifulSoup(r.text, 'html.parser') names_list = [] emails_list = [] name_email_dict = {} names = soup.find_all(class_="research-person-profile__name") emails = soup.find_all("a", target="_blank") for name in names: profile_name = name.text.strip().replace('\n \n ', '') names_list.append(profile_name) for email in emails: profile_email = email.get("href") profile_email = profile_email.replace('mailto:', '') emails_list.append(profile_email) for i in range(len(names_list)): name_email_dict[names_list[i]] = emails_list[i] return name_email_dict import unittest class myTests(unittest.TestCase): def testOne(self): url = 'https://www.si.umich.edu/people/directory/faculty/e' self.assertEqual(name_email(url), f_name_email(url), "test of name_email") unittest.main()

   Write a function called name_email that takes in a parameter url, uses BeautifulSoup to web scrape the names and email addresses, and returns a dictionary with the names as keys and the email addresses as values. Use the string replace method while web scraping. For example, name_email('https://www.si.umich.edu/people/directory/faculty/e') should return {'Paul Edwards': 'pne@umich.edu', 'Ron Eglash': 'eglash@umich.edu', 'Nicole Ellison': 'enicole@umich.edu', 'Barbara Ericson': 'barbarer@umich.edu'}.

   from bs4 import BeautifulSoup import requests def name_email(url): r = requests.get(url) soup = BeautifulSoup(r.text, 'html.parser') names_list = [] emails_list = [] name_email_dict = {} names = soup.find_all(class_="research-person-profile__name") emails = soup.find_all("a", target="_blank") for name in names: profile_name = name.text.strip().replace('\n \n ', '') names_list.append(profile_name) for email in emails: profile_email = email.get("href") profile_email = profile_email.replace('mailto:', '') emails_list.append(profile_email) for i in range(len(names_list)): name_email_dict[names_list[i]] = emails_list[i] return name_email_dict print(name_email('https://www.si.umich.edu/people/directory/faculty/e'))

10. Write a function called program_email that takes in a parameter url, uses BeautifulSoup to web scrape the program names under Email Addresses and Admissions (BSI program, MSI program, etc.) and their associated email addresses, and returns a dictionary with the program names as keys and the email addresses as values. For example, program_email('https://www.si.umich.edu/about-umsi/contact-us') should return something like {'BSI program': 'umsi.undergrad@umich.edu', 'MSI program': 'umsi.admissions@umich.edu', 'MHI program': 'hi.admissions@umich.edu', 'MADS program': 'umsi.mads@umich.edu', 'Doctoral program': 'umsi.phd.admissions@umich.edu'}.

    from bs4 import BeautifulSoup import requests def program_email(url): ==== def f_program_email(url): program_email_dict = {} r = requests.get(url) soup = BeautifulSoup(r.text, 'html.parser') programs_section = soup.find("ul", dir="ltr") programs = programs_section.find_all("li") for program in programs: split_name_email = program.text.split(":") program_name = split_name_email[0] program_email = split_name_email[1].replace("\xa0", "") program_email_dict[program_name] = program_email return program_email_dict import unittest class myTests(unittest.TestCase): def testOne(self): url = 'https://www.si.umich.edu/about-umsi/contact-us' self.assertEqual(program_email(url), f_program_email(url), 'test of program_email') unittest.main()

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