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Lab solved #387

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0017744
Lab solved
I-prieto Nov 1, 2025
0b59f6b
Lad re-solved
I-prieto Nov 1, 2025
e7ff31c
re-resolved
I-prieto Nov 1, 2025
052e54c
again
I-prieto Nov 1, 2025
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done again
I-prieto Nov 1, 2025
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108 changes: 103 additions & 5 deletions lab-web-scraping.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -110,14 +110,112 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 6,
"id": "40359eee-9cd7-4884-bfa4-83344c222305",
"metadata": {
"id": "40359eee-9cd7-4884-bfa4-83344c222305"
},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" UPC Title \\\n",
"0 ce6396b0f23f6ecc Set Me Free \n",
"1 6258a1f6a6dcfe50 The Four Agreements: A Practical Guide to Pers... \n",
"2 6be3beb0793a53e7 Sophie's World \n",
"3 657fe5ead67a7767 Untitled Collection: Sabbath Poems 2014 \n",
"4 51653ef291ab7ddc This One Summer \n",
"\n",
" Price (£) Rating Genre Availability \\\n",
"0 17.46 5 Young Adult In stock (19 available) \n",
"1 17.66 5 Spirituality In stock (18 available) \n",
"2 15.94 5 Philosophy In stock (18 available) \n",
"3 14.27 4 Poetry In stock (16 available) \n",
"4 19.49 4 Sequential Art In stock (16 available) \n",
"\n",
" Description \n",
"0 Aaron Ledbetter’s future had been planned ou... \n",
"1 In The Four Agreements, don Miguel Ruiz reveal... \n",
"2 A page-turning novel that is also an explorati... \n",
"3 More than thirty-five years ago, when the weat... \n",
"4 Every summer, Rose goes with her mom and dad t... \n"
]
}
],
"source": [
"# Your solution goes here"
"import requests\n",
"from bs4 import BeautifulSoup\n",
"import pandas as pd\n",
"import textwrap\n",
"import time # para evitar bloqueos por exceso de peticiones\n",
"\n",
"# Diccionario para convertir palabras de rating a números\n",
"rating_map = {'One': 1, 'Two': 2, 'Three': 3, 'Four': 4, 'Five': 5}\n",
"\n",
"# Función principal que acepta parámetros\n",
"def scrape_books(min_rating, max_price):\n",
" all_books = [] # Lista para guardar los libros\n",
"\n",
" # Recorremos las 50 páginas del sitio\n",
" for page in range(1, 51):\n",
" url = f'http://books.toscrape.com/catalogue/page-{page}.html'\n",
" response = requests.get(url)\n",
" soup = BeautifulSoup(response.text, 'html.parser')\n",
"\n",
" # Encontramos todos los libros en la página\n",
" books = soup.find_all('article', class_='product_pod')\n",
"\n",
" for book in books:\n",
" title = book.h3.a['title']\n",
" price = float(book.find('p', class_='price_color').text[2:])\n",
" rating_word = book.find('p', class_='star-rating')['class'][1]\n",
" rating = rating_map[rating_word]\n",
"\n",
" # Aplicamos los filtros usando los parámetros\n",
" if rating >= min_rating and price <= max_price:\n",
" link = book.h3.a['href']\n",
" detail_url = 'http://books.toscrape.com/catalogue/' + link\n",
" detail_response = requests.get(detail_url)\n",
" detail_soup = BeautifulSoup(detail_response.text, 'html.parser')\n",
"\n",
" # Extraemos los datos adicionales\n",
" upc = detail_soup.find('th', string='UPC').find_next('td').text\n",
" genre = detail_soup.select('ul.breadcrumb li')[2].text.strip()\n",
" availability = detail_soup.find('p', class_='instock availability').text.strip()\n",
"\n",
" desc_tag = detail_soup.find('div', id='product_description')\n",
" if desc_tag:\n",
" description = desc_tag.find_next('p').text.strip()\n",
" else:\n",
" description = 'No description available'\n",
"\n",
" # Formateamos la descripción para que se vea bonita\n",
" description = textwrap.fill(description, width=60)\n",
"\n",
" # Guardamos los datos en un diccionario\n",
" book_info = {\n",
" 'UPC': upc,\n",
" 'Title': title,\n",
" 'Price (£)': price,\n",
" 'Rating': rating,\n",
" 'Genre': genre,\n",
" 'Availability': availability,\n",
" 'Description': description\n",
" }\n",
"\n",
" # Añadimos el libro a la lista\n",
" all_books.append(book_info)\n",
"\n",
" # Esperamos medio segundo para no saturar el servidor\n",
" time.sleep(0.5)\n",
"\n",
" # Convertimos la lista en un DataFrame\n",
" return pd.DataFrame(all_books)\n",
"\n",
"# Ejemplo de uso\n",
"books_df = scrape_books(min_rating=4, max_price=20)\n",
"print(books_df.head()) # Mostramos los primeros libros"
]
}
],
Expand All @@ -126,7 +224,7 @@
"provenance": []
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -140,7 +238,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.5"
}
},
"nbformat": 4,
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