The provided text appears to be an HTML snippet from a recipe page. To extract the key information programmatically using BeautifulSoup:
“`python
from bs4 import BeautifulSoup
html_content = ”’
# Example extraction code:
“`python
import requests
from bs4 import BeautifulSoup
url = “https://example.com/recipe-page”
response = requests.get(url)
soup = BeautifulSoup(response.text, ‘html.parser’)
def extract_recipe_info(html_content):
soup = BeautifulSoup(html_content, ‘html.parser’)
# Extract description
description = soup.find(‘div’, class_=’tasty-recipes-description-body’).find_next_sibling(
‘hr’).previous_sibling.find_next_sibling().get_text(strip=True)
# Extract ingredients
ingredients_list = []
for li in soup.select(‘.tasty-recipes-ingredients-body ul li’):
amount = li.select(‘[data-amount]’)
if amount:
amount_str = f”{amount[0].attrs[‘data-unit’]}{amount[0].attrs[‘data-amount’]}” if ‘data-unit’ in amount[0].attrs else ”
else:
# Handle cases where unit might not be specified
amount_str = li.select(‘[data-amount]’)
if amount_str: amount_val = amount_str[0][‘data-amount’]
else: continue # Skip list items without amounts
# Alternatively, for a simpler approach focusing on the main content:
“`
The provided HTML snippet appears to be from Tasty Recipes website content. Let me break down what it represents and how you can interact with it:
### Key Elements of the Recipe
1. **Recipe Title**: Not explicitly shown in this code (you’d need to check the full page)
2. **Description**:
– Tender-crisp air fryer green beans
– Garlicky seasoning
– Parmesan cheese topping
– Best side dish for any meal
3. **Ingredients**:
– 1 pound fresh green beans (washed and trimmed)
– Olive oil, salt, pepper, garlic powder listed in standard measurements
– Optional garnish: 1-2 tbsp grated Parmesan cheese
4. **Instructions**:
– Preheat air fryer to 375°F
– Toss beans with seasonings
– Spread beans in a single layer (cook in batches if needed)
– Cooking time varies based on desired crispness
– Serve garnished with Parmesan cheese
### How to Use This Recipe Data
The HTML structure is designed for easy extraction of recipe components. You can use this code as inspiration for:
1. **Recipe Display**: Create a clean, styled recipe page using the provided SVG icons and HTML structure.
2. **Parsing Recipes**: Write a script to extract:
– Ingredients list
– Instructions steps
– Description text
– Formatting tags (amounts, units)
3. **Customization**:
– The `data-tasty-recipes-customization` attributes allow for theme customization via CSS variables
– Each section is separated by horizontal rules (`
` tags)
– Use the class selectors to style or modify recipe components
4. **Features Implemented**:
“`python
# Example extraction using BeautifulSoup
html = “””
“””
soup = BeautifulSoup(html, ‘html.parser’)
# Extract title if available (commented out as it’s not present)
# title = soup.find(‘h1’).get_text()
description = soup.find(‘div’, class_=’tasty-recipes-description-body’).find_next_sibling(p).get_text()
ingredients = [ingredient.get_text().strip() for ingredient in soup.select(‘.ingredients li’)]
instructions = [instruction.get_text().strip() for instruction in soup.select(‘#instructions ol li’)]
# Customization hooks:
# – Secondary color styling via data attributes
# – Structured content blocks separated by dividers
“`
This structure is commonly used on recipe sites to create a standardized format. The code contains all necessary elements for displaying the recipe components cleanly with proper spacing and visual organization through the use of `
` tags as section separators.