Empower your business with Bolt Food Scraper, a powerful solution built to collect real-time restaurant listings, menu pricing, delivery availability, customer reviews, and promotional insights from Bolt Food. Using advanced Food Data Scraping, businesses can monitor changing delivery trends, analyze competitor performance, optimize pricing strategies, and generate structured market intelligence to support smarter decisions in the rapidly growing online food delivery industry.
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Monitor item availability, restaurant operating schedules, and delivery activity continuously to support faster decisions and improved customer satisfaction.
import requests
from bs4 import BeautifulSoup
REQUEST_HEADERS = {
"User-Agent": "Mozilla/5.0 (X11; Linux x86_64)",
"Accept-Language": "en-US,en;q=0.8",
}
def extract_bolt_food_data(page_url):
response = requests.get(page_url, headers=REQUEST_HEADERS)
if response.status_code != 200:
return {"error": "Unable to retrieve page data"}
soup = BeautifulSoup(response.content, "html.parser")
restaurant_info = {
"Restaurant_Name": soup.select_one("h1").get_text(strip=True) if soup.select_one("h1") else "Unavailable",
"Cuisine_Type": soup.select_one(".cuisine-name").get_text(strip=True) if soup.select_one(".cuisine-name") else "Unavailable",
"Delivery_Time": soup.select_one(".delivery-time").get_text(strip=True) if soup.select_one(".delivery-time") else "Unavailable",
"Average_Rating": soup.select_one(".rating-score").get_text(strip=True) if soup.select_one(".rating-score") else "Unavailable",
"Menu_Price": soup.select_one(".menu-price").get_text(strip=True) if soup.select_one(".menu-price") else "Unavailable"
}
return restaurant_info
# Example Bolt Food restaurant page
bolt_food_url = "https://food.bolt.eu/example-restaurant"
output = extract_bolt_food_data(bolt_food_url)
# Print extracted data
print(output)
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Our Bolt Food Scraper is designed to support ethical data collection practices while maintaining structured extraction standards for business intelligence and market research purposes.
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