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Finished lab #343

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177 changes: 173 additions & 4 deletions lab-web-scraping.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -110,14 +110,183 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 302,
"id": "40359eee-9cd7-4884-bfa4-83344c222305",
"metadata": {
"id": "40359eee-9cd7-4884-bfa4-83344c222305"
},
"outputs": [],
"source": [
"# Your solution goes here"
"# Import necesary libraries\n",
"import requests\n",
"from bs4 import BeautifulSoup\n",
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 310,
"id": "606d2f30",
"metadata": {},
"outputs": [],
"source": [
"# Define the function scrape books with the arguments min_rating and max_price\n",
"def scrape_books(min_rating, max_price):\n",
" \n",
" # Define functions to get title, url and price\n",
" def get_title(book):\n",
" title = book.find_all(\"a\")[1][\"title\"]\n",
" return title\n",
" def get_url(book):\n",
" book_url = book.find_all(\"a\")[1][\"href\"]\n",
" domain = \"https://books.toscrape.com/catalogue/\"\n",
" return domain+book_url\n",
" def get_price(book):\n",
" price = book.find(\"p\", attrs = {\"class\":\"price_color\"}).get_text().replace('£','')\n",
" return price\n",
" def get_availability(book):\n",
" availability = book.find(\"p\", attrs = {\"class\":\"instock availability\"}).get_text().replace('\\n', '')\n",
" return availability\n",
" \n",
" # Define functions to get upc, genre, rating and description\n",
" # Atention! These are to be performed in the book's soup, not the general one!\n",
" def get_upc(book):\n",
" upc = book.find(\"td\").get_text()\n",
" return upc\n",
" def get_genre(book):\n",
" genre = book.find(\"ul\", attrs={'class':'breadcrumb'}).find_all('li')[2].get_text().strip()\n",
" return genre\n",
" def get_rating(book):\n",
" rating = book.find_all('p')[2].get('class')[1].lower()\n",
" my_nums = {'one': 1,\n",
" 'two': 2,\n",
" 'three': 3,\n",
" 'four': 4,\n",
" 'five': 5,\n",
" }\n",
" return my_nums[rating]\n",
" def get_description(book):\n",
" description = book.find_all('p')[3].get_text()\n",
" return description\n",
" \n",
" # Create an empty dictionary for books and initialise key\n",
" books_dict = {}\n",
" key = 0\n",
" \n",
" # Get grids for all 50 pages\n",
" for number in range(1,51):\n",
" # Create a request to access the HTML code of each page\n",
" url = f\"https://books.toscrape.com/catalogue/page-{str(number)}.html\"\n",
" response = requests.get(url)\n",
" # Create a soup object from the HTML code \n",
" soup = BeautifulSoup(response.content, 'html.parser')\n",
" \n",
" # Find all the books in a given page\n",
" book_grid = soup.find(\"ol\", attrs = {\"class\":\"row\"})\n",
" # Inside of the grid identify all books\n",
" books = book_grid.find_all(\"li\", attrs = {\"class\":\"col-xs-6 col-sm-4 col-md-3 col-lg-3\"})\n",
" \n",
" # Iterate functions to all books \n",
" for book in books:\n",
" title = get_title(book)\n",
" price = get_price(book)\n",
" availability = get_availability(book)\n",
" book_url = get_url(book)\n",
" \n",
" ## Access the book url to retrieve more data.\n",
" book_response = requests.get(book_url)\n",
" ## 1st generate a soup for the book\n",
" book_soup = BeautifulSoup(book_response.content, 'html.parser')\n",
" \n",
" ## Start gathering info from the book's page\n",
" upc = get_upc(book_soup)\n",
" genre = get_genre(book_soup)\n",
" description = get_description(book_soup)\n",
" rating = get_rating(book_soup)\n",
" \n",
" #Finally, save the retrieved data in a dictionary\n",
" books_dict[key] = {\"title\": title,\n",
" \"genre\": genre,\n",
" \"price_£\": price,\n",
" \"availability\": availability,\n",
" \"rating\": rating,\n",
" \"upc\": upc,\n",
" \"description\": description,\n",
" }\n",
" key += 1\n",
" # Turn the dictionary into a dataframe \n",
" books_df = pd.DataFrame.from_dict(books_dict, orient = \"index\")\n",
" books_df['price_£'] = books_df['price_£'].astype('float32')\n",
" condition = (books_df['rating'] >= min_rating) & (books_df['price_£'] <= max_price)\n",
" return books_df[condition]"
]
},
{
"cell_type": "code",
"execution_count": 309,
"id": "663372a7",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>title</th>\n",
" <th>genre</th>\n",
" <th>price_£</th>\n",
" <th>availability</th>\n",
" <th>rating</th>\n",
" <th>upc</th>\n",
" <th>description</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>Set Me Free</td>\n",
" <td>Young Adult</td>\n",
" <td>17.459999</td>\n",
" <td>In stock</td>\n",
" <td>5</td>\n",
" <td>ce6396b0f23f6ecc</td>\n",
" <td>Aaron Ledbetter’s future had been planned out ...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" title genre price_£ availability rating \\\n",
"12 Set Me Free Young Adult 17.459999 In stock 5 \n",
"\n",
" upc description \n",
"12 ce6396b0f23f6ecc Aaron Ledbetter’s future had been planned out ... "
]
},
"execution_count": 309,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"scrape_books(4,20)"
]
}
],
Expand All @@ -126,7 +295,7 @@
"provenance": []
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -140,7 +309,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.5"
}
},
"nbformat": 4,
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