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Feature rogelio #5

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ff1cb1f
Project representation.
rogeliohdev Jan 25, 2024
f0f6964
Rename RobloxScreenShot20240125_045404338.png to Representation.png
rogeliohdev Jan 25, 2024
8b070e4
Rename Representation.png to RepresentationV2.png
rogeliohdev Jan 25, 2024
de88141
Better optimized code with improved visual and accessibility aspects
rogeliohdev Feb 10, 2024
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243 changes: 243 additions & 0 deletions ScrapperDefinitive🥵.py
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from bs4 import BeautifulSoup
import json
import requests

class ProductClassifier:
@staticmethod
def classify_product(soup):
title_element = soup.select_one('span#productTitle')
if title_element:
title = title_element.get_text(strip=True)
else:
title = "No encontrado"

description_element = soup.select_one('meta[name="description"]')
if description_element:
description = description_element.get('content', '').lower()
else:
description = ""

# Categorías basadas en palabras clave en el título o descripción
if any(keyword in title.lower() for keyword in ['teléfono', 'smartphone', 'tablet']):
return 'Tecnología'
elif any(keyword in title.lower() for keyword in ['zapatos', 'ropa', 'moda', 'vestido']):
return 'Moda'
elif any(keyword in title.lower() for keyword in ['hogar', 'casa', 'mueble', 'decoración']):
return 'Hogar y Cocina'
elif any(keyword in title.lower() for keyword in ['libro', 'ebook', 'novela', 'literatura']):
return 'Libros'
elif any(keyword in description for keyword in ['alimentación', 'comida', 'bebida']):
return 'Alimentación y Bebidas'
elif any(keyword in title.lower() for keyword in ['deportes', 'ejercicio', 'fitness', 'gimnasio']):
return 'Deportes y Aire Libre'
elif any(keyword in title.lower() for keyword in ['juguete', 'juego', 'muñeca', 'infantil']):
return 'Juguetes y Juegos'
else:
return 'Otro'

class Scrapper:
def __init__(self, url):
self.url = url

def try_extract_text(self, soup, identifier, method='find', tag_type='span', class_name=None, default="No encontrado"):
try:
if method == 'find':
if class_name:
element = soup.find(tag_type, class_=class_name)
else:
element = soup.find(tag_type, string=identifier).find_next('td')
elif method == 'find_all':
element = soup.find_all(tag_type, string=identifier)[0].find_next('td')
return element.get_text(strip=True) if element else default
except (AttributeError, IndexError):
return default

def general_extract(self, soup, search_params, default="No encontrado"):
try:
element = soup.select_one(search_params) if search_params else None
return element.get_text(strip=True) if element else default
except (AttributeError, IndexError):
return default

def scrape(self):
response = requests.get(self.url)
soup = BeautifulSoup(response.text, 'html.parser')

# Clasificar el producto
category = ProductClassifier.classify_product(soup)

# Inicializar el diccionario de datos con la categoría
data = {'category': category}

# Extracción de datos según la categoría
if category == 'Tecnología':
data.update(self.extract_technology_info(soup))
elif category == 'Moda':
data.update(self.extract_fashion_info(soup))
elif category == 'Hogar y Cocina':
data.update(self.extract_home_and_kitchen_info(soup))
elif category == 'Libros':
data.update(self.extract_books_info(soup))
elif category == 'Alimentación y Bebidas':
data.update(self.extract_food_and_drink_info(soup))
elif category == 'Deportes y Aire Libre':
data.update(self.extract_sports_and_outdoors_info(soup))
elif category == 'Juguetes y Juegos':
data.update(self.extract_toys_and_games_info(soup))
else:
data.update(self.extract_generic_info(soup))

# Guardar los datos recopilados en un archivo JSON
with open("scraped_data.json", 'w', encoding='utf-8') as json_file:
json.dump(data, json_file, indent=4, ensure_ascii=False)
print("Datos guardados en scraped_data.json")

# Métodos para la extracción de información específica por categoría
def extract_technology_info(self, soup):
data = {
'product_name': self.general_extract(soup, 'span#productTitle'),
'rating': self.general_extract(soup, 'span.a-size-base.a-color-base'),
'rating_count': self.general_extract(soup, 'span#acrCustomerReviewText'),
'marca': self.try_extract_text(soup, 'Marca'),
'modelo': self.try_extract_text(soup, 'Nombre del modelo'),
'software': self.try_extract_text(soup, 'Sistema operativo'),
'tecnologia_celular': self.try_extract_text(soup, 'Tecnología celular'),
'capacidad': self.try_extract_text(soup, 'Capacidad de almacenamiento de la memoria'),
'tecnologia_conectividad': self.try_extract_text(soup, 'Tecnología de conectividad'),
'color': self.try_extract_text(soup, 'Color'),
'tamano_pantalla': self.try_extract_text(soup, 'Tamaño de la pantalla'),
'tipo_conector': self.try_extract_text(soup, 'Tipo de conector'),
'duracion_bateria': self.try_extract_text(soup, 'Duración de la batería'),
'resolucion_camara': self.try_extract_text(soup, 'Resolución de la cámara'),
'tipo_procesador': self.try_extract_text(soup, 'Tipo de procesador'),
}
return {'technology_info': data}

def extract_fashion_info(self, soup):
data = {
'product_name': self.general_extract(soup, 'span#productTitle'),
'rating': self.general_extract(soup, 'span.a-size-base.a-color-base'),
'rating_count': self.general_extract(soup, 'span#acrCustomerReviewText'),
'marca': self.try_extract_text(soup, 'Marca'),
'material': self.try_extract_text(soup, 'Material'),
'tamanio': self.try_extract_text(soup, 'Tamaño'),
'deporte': self.try_extract_text(soup, 'Deporte'),
'rango_edad': self.try_extract_text(soup, 'Rango de edad (descripción)'),
'tipo_cierre': self.try_extract_text(soup, 'Tipo de cierre'),
'estilo_cuello': self.try_extract_text(soup, 'Estilo del cuello'),
'largo_manga': self.try_extract_text(soup, 'Largo de la manga'),
'estilo_manga': self.try_extract_text(soup, 'Estilo de la manga'),
'largo_pantalon': self.try_extract_text(soup, 'Largo del pantalón'),
'tipo_tejido': self.try_extract_text(soup, 'Tipo de tejido'),
}
return {'fashion_info': data}

def extract_home_and_kitchen_info(self, soup):
data = {
'product_name': self.general_extract(soup, 'span#productTitle'),
'rating': self.general_extract(soup, 'span.a-size-base.a-color-base'),
'rating_count': self.general_extract(soup, 'span#acrCustomerReviewText'),
'marca': self.try_extract_text(soup, 'Marca'),
'dimensiones': self.try_extract_text(soup, 'Dimensiones del producto'),
'peso': self.try_extract_text(soup, 'Peso del producto'),
'material': self.try_extract_text(soup, 'Material'),
'capacidad': self.try_extract_text(soup, 'Capacidad'),
'color': self.try_extract_text(soup, 'Color'),
'tipo_superficie': self.try_extract_text(soup, 'Tipo de superficie'),
'voltaje': self.try_extract_text(soup, 'Voltaje'),
'potencia': self.try_extract_text(soup, 'Potencia'),
'incluye_bateria': self.try_extract_text(soup, 'Incluye baterías'),
'requiere_bateria': self.try_extract_text(soup, 'Requiere baterías'),
'energia_eficiente': self.try_extract_text(soup, 'Eficiencia energética'),
}
return {'home_and_kitchen_info': data}

def extract_books_info(self, soup):
data = {
'product_name': self.general_extract(soup, 'span#productTitle'),
'rating': self.general_extract(soup, 'span.a-size-base.a-color-base'),
'rating_count': self.general_extract(soup, 'span#acrCustomerReviewText'),
'autor': self.try_extract_text(soup, 'Autor'),
'editorial': self.try_extract_text(soup, 'Editorial'),
'formato': self.try_extract_text(soup, 'Formato'),
'paginas': self.try_extract_text(soup, 'Número de páginas'),
'idioma': self.try_extract_text(soup, 'Idioma'),
'genero': self.try_extract_text(soup, 'Género'),
'dimensiones': self.try_extract_text(soup, 'Dimensiones del producto'),
'peso': self.try_extract_text(soup, 'Peso del producto'),
'fecha_publicacion': self.try_extract_text(soup, 'Fecha de publicación'),
}
return {'books_info': data}

def extract_food_and_drink_info(self, soup):
data = {
'product_name': self.general_extract(soup, 'span#productTitle'),
'rating': self.general_extract(soup, 'span.a-size-base.a-color-base'),
'rating_count': self.general_extract(soup, 'span#acrCustomerReviewText'),
'marca': self.try_extract_text(soup, 'Marca'),
'peso_neto': self.try_extract_text(soup, 'Peso neto'),
'ingredientes': self.try_extract_text(soup, 'Ingredientes'),
'origen': self.try_extract_text(soup, 'Origen'),
'unidad_medida': self.try_extract_text(soup, 'Unidad de medida'),
'fecha_vencimiento': self.try_extract_text(soup, 'Fecha de vencimiento'),
'instrucciones_alergenos': self.try_extract_text(soup, 'Instrucciones de alergenos'),
'conservacion': self.try_extract_text(soup, 'Instrucciones de conservación'),
}
return {'food_and_drink_info': data}

def extract_sports_and_outdoors_info(self, soup):
data = {
'product_name': self.general_extract(soup, 'span#productTitle'),
'rating': self.general_extract(soup, 'span.a-size-base.a-color-base'),
'rating_count': self.general_extract(soup, 'span#acrCustomerReviewText'),
'marca': self.try_extract_text(soup, 'Marca'),
'tipo': self.try_extract_text(soup, 'Tipo de deporte'),
'material': self.try_extract_text(soup, 'Material'),
'dimensiones': self.try_extract_text(soup, 'Dimensiones del producto'),
'edad_recomendada': self.try_extract_text(soup, 'Edad recomendada'),
'color': self.try_extract_text(soup, 'Color'),
'talla': self.try_extract_text(soup, 'Talla'),
'genero': self.try_extract_text(soup, 'Género'),
'estilo': self.try_extract_text(soup, 'Estilo'),
'temporada': self.try_extract_text(soup, 'Temporada'),
}
return {'sports_and_outdoors_info': data}

def extract_toys_and_games_info(self, soup):
data = {
'product_name': self.general_extract(soup, 'span#productTitle'),
'rating': self.general_extract(soup, 'span.a-size-base.a-color-base'),
'rating_count': self.general_extract(soup, 'span#acrCustomerReviewText'),
'marca': self.try_extract_text(soup, 'Marca'),
'edad_recomendada': self.try_extract_text(soup, 'Edad recomendada'),
'material': self.try_extract_text(soup, 'Material'),
'dimensiones': self.try_extract_text(soup, 'Dimensiones del paquete'),
'genero': self.try_extract_text(soup, 'Género'),
'numero_modelo': self.try_extract_text(soup, 'Número de modelo'),
'requiere_baterias': self.try_extract_text(soup, 'Requiere baterías'),
'incluye_baterias': self.try_extract_text(soup, 'Incluye baterías'),
'numero_piezas': self.try_extract_text(soup, 'Número de piezas'),
'instrucciones_cuidado': self.try_extract_text(soup, 'Instrucciones de cuidado'),
}
return {'toys_and_games_info': data}

def extract_generic_info(self, soup):
data = {
'product_name': self.general_extract(soup, 'span#productTitle'),
'rating': self.general_extract(soup, 'span.a-size-base.a-color-base'),
'rating_count': self.general_extract(soup, 'span#acrCustomerReviewText'),
'marca': self.try_extract_text(soup, 'Marca'),
'descripcion': self.try_extract_text(soup, 'Descripción'),
'dimensiones': self.try_extract_text(soup, 'Dimensiones del producto'),
'peso': self.try_extract_text(soup, 'Peso del producto'),
'material': self.try_extract_text(soup, 'Material'),
'color': self.try_extract_text(soup, 'Color'),
'otras_caracteristicas': self.try_extract_text(soup, 'Otras características'),
'detalles_adicionales': self.try_extract_text(soup, 'Detalles adicionales'),
}
return {'generic_info': data}

# Uso de la clase Scrapper
url = 'https://www.amazon.com.mx/10-pulgadas-expandible-capacitivo-Bluetooth-certificación/dp/B0CL73D6ZC/?_encoding=UTF8&pd_rd_i=B0CL73D6ZC&pd_rd_w=6ZQzY&content-id=amzn1.sym.b4ded68e-339a-4958-a62e-b1a8cdc78ba9&pf_rd_p=b4ded68e-339a-4958-a62e-b1a8cdc78ba9&pf_rd_r=SHTNG0E3NRGK29EDD21A&pd_rd_wg=QG9zr&pd_rd_r=ad2e22f5-15ee-42b7-a91d-3e7227017533&ref_=oct_dx_dotd'
objeto = Scrapper(url)
objeto.scrape()