Skip to content

Solved lab #365

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

Solved lab #365

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
234 changes: 230 additions & 4 deletions lab-web-scraping.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -111,13 +111,239 @@
{
"cell_type": "code",
"execution_count": null,
"id": "c2caf064",
"metadata": {},
"outputs": [],
"source": [
"#import requests\n",
"#from bs4 import BeautifulSoup\n",
"#import pandas as pd\n",
"\n",
"#url = \"http://books.toscrape.com/\"\n",
"#response = requests.get(url)\n",
"#soup = BeautifulSoup(response.content, 'html.parser')"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "998a578e",
"metadata": {},
"outputs": [],
"source": [
"#books = soup.find_all('article', class_='product_pod')\n",
"#books"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "766314e2",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'A Light in the Attic'"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#title = books[0].find('h3').find('a')['title']\n",
"#title"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "df312ede",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'51.77'"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#price = books[0].find('p', class_='price_color').text[1:]\n",
"#price"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "4e273e76",
"metadata": {},
"outputs": [],
"source": [
"def get_page(url):\n",
" complete_url = f\"http://books.toscrape.com/{url}\"\n",
" response_get = requests.get(complete_url)\n",
" soup_get = BeautifulSoup(response_get.content, 'html.parser')\n",
" return soup_get"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "609eb711",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"3"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#rating_stars = {'One': 1, 'Two': 2, 'Three': 3, 'Four': 4, 'Five': 5}\n",
"#rating = rating_stars[books[0].find('p', class_='star-rating')['class'][1]]\n",
"\n",
"#rating"
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "40359eee-9cd7-4884-bfa4-83344c222305",
"metadata": {
"id": "40359eee-9cd7-4884-bfa4-83344c222305"
},
"outputs": [],
"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>Price</th>\n",
" <th>Rating</th>\n",
" <th>UPC</th>\n",
" <th>Genre</th>\n",
" <th>Availability</th>\n",
" <th>Description</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Set Me Free</td>\n",
" <td>17.46</td>\n",
" <td>5</td>\n",
" <td>ce6396b0f23f6ecc</td>\n",
" <td>Young Adult</td>\n",
" <td>In stock (19 available)</td>\n",
" <td>Aaron Ledbetter’s future had been planned out ...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Title Price Rating UPC Genre \\\n",
"0 Set Me Free 17.46 5 ce6396b0f23f6ecc Young Adult \n",
"\n",
" Availability Description \n",
"0 In stock (19 available) Aaron Ledbetter’s future had been planned out ... "
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Your solution goes here"
"# Your solution goes here\n",
"def scrape_books (min_rating, max_price):\n",
" import requests\n",
" from bs4 import BeautifulSoup\n",
" import pandas as pd\n",
"\n",
" url = \"http://books.toscrape.com/\"\n",
" response = requests.get(url)\n",
" soup = BeautifulSoup(response.content, 'html.parser')\n",
"\n",
" books = soup.find_all('article', class_='product_pod')\n",
"\n",
" titles = []\n",
" prices = []\n",
" ratings = []\n",
" upcs = []\n",
" genres = []\n",
" availabilities = []\n",
" descriptions = []\n",
"\n",
"#from here Sofia\n",
"\n",
" for book in books:\n",
" #title = book.find('h3').find('a')['title']\n",
" price = float(book.find('p', class_='price_color').text[1:])\n",
" rating_stars = {'One': 1, 'Two': 2, 'Three': 3, 'Four': 4, 'Five': 5}\n",
" rating = rating_stars[book.find('p', class_='star-rating')['class'][1]]\n",
" #url = book.find('h3').find('a').get('href')\n",
" #upc = get_page(url).find('table', class_=\"table table-striped\").find(\"td\").text\n",
"\n",
" if rating >= min_rating and price <= max_price:\n",
" title = book.find('h3').find('a')['title']\n",
" url = book.find('h3').find('a').get('href')\n",
" page_content = get_page(url)\n",
" upc = page_content.find('table', class_=\"table table-striped\").find(\"td\").text\n",
" genre = page_content.find('ul', class_=\"breadcrumb\").find_all('li')[2].text.strip()\n",
" availability = page_content.find('p', class_=\"instock availability\").get_text(strip=True)\n",
" description = page_content.find('div', id=\"product_description\").next_sibling.next_sibling.get_text(strip=True)\n",
" titles.append(title)\n",
" prices.append(price)\n",
" ratings.append(rating)\n",
" upcs.append(upc)\n",
" genres.append(genre)\n",
" availabilities.append(availability)\n",
" descriptions.append(description)\n",
"\n",
"\n",
" df = pd.DataFrame({\n",
" 'Title': titles,\n",
" 'Price': prices,\n",
" 'Rating': ratings,\n",
" 'UPC': upcs,\n",
" 'Genre': genres,\n",
" \"Availability\": availabilities,\n",
" \"Description\": descriptions\n",
" })\n",
"\n",
" return df\n",
"\n",
"scrape_books(4, 20)"
]
}
],
Expand All @@ -126,7 +352,7 @@
"provenance": []
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -140,7 +366,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.5"
}
},
"nbformat": 4,
Expand Down