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Scrape detailed information about restaurants, including name, location, and cuisines.
Extract menu items, prices, and descriptions for various restaurants.
Fetch real-time data to keep track of restaurant availability, working hours, and delivery options.
Collect customer reviews, ratings, and feedback to analyze customer sentiment.
Retrieve data on delivery times, fees, and pickup options.
Get real-time updates on open and closed restaurants, as well as order timing.
Scrape current promotions and discounts available on Swiggy.
Gain insights into competitor offerings by comparing menu, prices, & customer feedback.
Monitor food prices across different restaurants for dynamic pricing or competitor analysis.
Analyze food delivery trends and customer preferences.
Scrape reviews and ratings to understand customer satisfaction and sentiment.
Use Swiggy data to forecast demand and optimize operations in the food delivery industry.
Keep track of menu changes, new offerings, and pricing strategies.
Description: Fetch detailed restaurant information based on location or cuisine.
location(string): City or ZIP code to search for restaurants.
cuisine (string): Filter by specific cuisines like Italian, Chinese, etc.
page (int): Pagination for large datasets.
Response: JSON object containing restaurant name, address, rating, and cuisines.
Description: Retrieve menu items, pricing, and descriptions for a specific restaurant.
restaurant_id(string): Unique ID for the restaurant.
Response: JSON object with menu categories, items, prices, and descriptions.
Description: Scrape customer reviews and ratings for a particular restaurant.
restaurant_id(string): Unique ID for the restaurant.
Response: JSON object with menu categories, items, prices, and descriptions.
Description: Fetch delivery options, fees, and estimated delivery times.
restaurant_id(string): Unique ID for the restaurant.
Response: JSON object with delivery fees, estimated time, and available options.
Description: Retrieve current promotions and discounts for a restaurant.
restaurant_id(string): Unique ID for the restaurant.
Response: JSON object containing promotions, discount values, and expiration dates.
json
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{
"restaurant_id": "12345",
"name": "Sample Restaurant",
"menu": [
{
"item_id": "67890",
"item_name": "Cheese Pizza",
"price": "$9.99"
}
],
"reviews": [
{
"review_id": "54321",
"customer": "John Doe",
"rating": 4.5,
"comment": "Great food!"
}
]
}Optimize your food delivery data with our Swiggy Scraping API. Seamlessly integrate Swiggy Menu Scraping, Swiggy Order Data API, and Swiggy Customer Reviews Scraping into your systems for real-time insights. Our Swiggy Food Delivery Data API provides comprehensive and structured data, including real-time updates on menu items, order metrics, and customer feedback. With Automated Swiggy Data Extraction, you can efficiently gather and analyze critical data, staying ahead in the competitive food delivery market. Enhance your data-driven strategies with our robust scraping solutions and streamline your operations today.
Whatever your project size is, we will handle it well with all the standards fulfilled! We are here to give 100% satisfaction.