Add exercises 21 - Solved 1

Signed-off-by: Manuel Vergara <manuel@vergaracarmona.es>

30-days-of-python/22_Web_scraping/01_web_scraping.py

@@ -1,6 +1,3 @@
-"""
-01_web_scraping.py
-"""
 import requests
 from bs4 import BeautifulSoup
 import json
@@ -16,14 +13,12 @@ response = requests.get(url)
 soup = BeautifulSoup(response.text, 'html.parser')
 
 data = {}
-current_section = None
 
-for section in soup.find_all('section', {'class': 'facts-categories'}):
+for item in soup.find_all('div', {'class': 'facts-wrapper'}):
 
+    section_name = item.find('h5').get_text().strip()
     section_data = {}
 
-    for item in section.find_all('div', {'class': 'facts-wrapper'}):
-        section_name = section.find('h5').get_text().strip()
     for li in item.find_all('li'):
         key = li.find('p', {'class': 'text'}).get_text().strip()
         value = li.find('span', {'class': 'value'}).get_text().strip()
@@ -35,75 +30,3 @@ with open('bu_stats.json', 'w') as f:
     json.dump(data, f, indent=2)
 
 print("Datos guardados en bu_stats.json")
-
-# 2. Extrae la tabla de esta URL
-# (https://archive.ics.uci.edu/ml/datasets.php)
-# y conviértela en un archivo JSON.
-
-url = 'https://webcache.googleusercontent.com/search?q=cache:tT4BY9X5RxAJ:https://archive.ics.uci.edu/datasets&cd=8&hl=ca&ct=clnk&gl=es'
-response = requests.get(url)
-soup = BeautifulSoup(response.text, 'html.parser')
-
-datasets = []
-
-for div in soup.find_all('div', class_='rounded-box'):
-    dataset = {
-        'name': div.find('h2').find('a').text.strip(),
-        'description': div.find('p').text.strip(),
-    }
-
-    metadata_divs = div.find_all('div', class_='col-span-3')
-    for metadata_div in metadata_divs:
-        icon = metadata_div.find('div').find('svg')['viewBox']
-        value = metadata_div.find('span').text.strip()
-        dataset[icon] = value
-
-    datasets.append(dataset)
-
-with open('uci_datasets.json', 'w') as f:
-    json.dump(datasets, f, indent=2)
-
-print("Datos guardados en uci_datasets.json")
-
-
-# 3. Realiza un raspado web de la tabla de presidentes
-# y guarda los datos como JSON
-# (https://en.wikipedia.org/wiki/List_of_presidents_of_the_United_States).
-# La tabla no está muy estructurada
-# y el proceso de raspado puede llevar mucho tiempo.
-
-
-url = 'https://en.wikipedia.org/wiki/List_of_presidents_of_the_United_States'
-response = requests.get(url)
-soup = BeautifulSoup(response.text, 'html.parser')
-
-table = soup.find('table', {'class': 'wikitable'})
-headers = [header.get_text().strip() for header in table.find_all('th')]
-rows = []
-
-for row in table.find_all('tr'):
-    cells = row.find_all('td')
-    if len(cells) == len(headers):
-        rows.append([cell.get_text().strip() for cell in cells])
-
-data = []
-for row in rows:
-    president = {}
-    for i, header in enumerate(headers):
-        if i < len(row):  # Verificar si hay celdas suficientes en la fila
-            if header == 'President':
-                president['name'] = row[i]
-            elif header == 'Party':
-                president['party'] = row[i]
-            elif header == 'State[a]':
-                president['state'] = row[i]
-            elif header == 'Took office':
-                president['took_office'] = row[i]
-            elif header == 'Left office':
-                president['left_office'] = row[i]
-    data.append(president)
-
-with open('us_presidents.json', 'w') as f:
-    json.dump(data, f, indent=2)
-
-print("Datos guardados en us_presidents.json")

30-days-of-python/22_Web_scraping/README.md

@@ -6,10 +6,14 @@ Documento original en inglés: [Web Scraping](https://github.com/Asabeneh/30-Day
 
 1. Realiza un raspado web del siguiente sitio web y guarda los datos en un archivo JSON (URL = 'http://www.bu.edu/president/boston-university-facts-stats/').
 
+[Solución](01_web_scraping.py)
+
 2. Extrae la tabla de esta URL (https://archive.ics.uci.edu/ml/datasets.php) y conviértela en un archivo JSON.
 
+[Solución](02_web_scraping.py)
+
 3. Realiza un raspado web de la tabla de presidentes y guarda los datos como JSON (https://en.wikipedia.org/wiki/List_of_presidents_of_the_United_States). La tabla no está muy estructurada y el proceso de raspado puede llevar mucho tiempo.
 
-[Solución](01_web_scraping.py)
+[Solución](03_web_scraping.py)
 
 [<< Day 21](../21_Clases_y_objetos/README.md) | [Day 23 >>](../23_Entorno_virtual/README.md)

30-days-of-python/22_Web_scraping/bu_stats.json

@@ -6,24 +6,35 @@
     "Faculty": "4,309",
     "Nondegree Students": "1,337",
     "Graduate & Professional Students": "18,476",
-    "Undergraduate Students": "17,744",
+    "Undergraduate Students": "17,744"
+  },
+  "Campus": {
     "Classrooms": "848",
     "Buildings": "343",
     "Laboratories": "1,481",
     "Libraries": "13",
-    "Campus Area (acres)": "140",
+    "Campus Area (acres)": "140"
+  },
+  "Academics": {
     "Study Abroad Programs": "80+",
     "Average Class Size": "30",
+    "Faculty": "4,309",
     "Student/Faculty Ratio": "11:1",
     "Schools and Colleges": "17",
-    "Programs of Study": "300+",
+    "Programs of Study": "300+"
+  },
+  "Grant & Contract Awards": {
     "Research Expenditures (FY22)": "$630.7M",
     "Research Awards": "$674M",
-    "BMC Clinical Research Grants (FY22)": "$82M",
+    "BMC Clinical Research Grants (FY22)": "$82M"
+  },
+  "Undergraduate Financial Aid & Scholarships": {
     "Average Total Need-Based Financial Aid": "$57,237",
     "Average Need-Based Grant/Scholarship": "$53,029",
     "Grants & Scholarships (need-based)": "$388.4M",
-    "Grants & Scholarships (non-need-based)": "$26.5M",
+    "Grants & Scholarships (non-need-based)": "$26.5M"
+  },
+  "Student Life": {
     "Community Service Hours": "130,000+",
     "Alternative Service Breaks Participants": "65+",
     "BU on Social": "new accounts daily",
@@ -32,14 +43,20 @@
     "Academic & Professional Organizations": "140+",
     "Art & Performance Organizations": "60+",
     "Student Organizations": "450+",
-    "First-Year Student Outreach Project Volunteers": "400+",
+    "First-Year Student Outreach Project Volunteers": "400+"
+  },
+  "Research": {
     "Faculty Publications": "7,000+",
     "Student UROP Participants": "450+",
-    "Centers & Institutes": "130+",
+    "Centers & Institutes": "130+"
+  },
+  "International Community": {
     "Global Initiatives": "300+",
     "Cultural Student Groups": "60+",
     "Alumni Countries": "180+",
-    "International Students": "10,000+",
+    "International Students": "10,000+"
+  },
+  "Athletics": {
     "Intramural Sports & Tournaments": "12+",
     "Club and Intramural Sports Participants": "7,000+",
     "Club Sports": "36",