Rappi Restaurant Scraper

Extract comprehensive restaurant data from Rappi — one of the largest food delivery platforms in Latin America.

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Table of Contents

• Quick Start
• Features
• Use Cases
• Input Parameters
• Output Examples
• Code Examples
• Supported Countries
• FAQ
• Support

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Quick Start

Get Restaurant Details

Extract complete information about a restaurant using just the URL:

{
  "mode": "store_info",
  "store_url": "https://www.rappi.com.br/restaurantes/900685573-coco-bambu-jk"
}

Extract Menu

Get the full menu with all items and prices:

{
  "mode": "menu",
  "store_url": "https://www.rappi.com.br/restaurantes/900685573-coco-bambu-jk"
}

Find All Restaurants in a Location

Search for all restaurants in a specific area (requires coordinates):

{
  "mode": "restaurants",
  "latitude": -23.56352,
  "longitude": -46.65433,
  "country": "br"
}

Tip: For menu and store_info modes, you only need the restaurant URL — coordinates are not required and the country is automatically detected!

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Features

Feature	Description
Complete Menu Data	Full menus with prices, descriptions, images, and availability
Detailed Store Profiles	Address, ratings, delivery fees, operating hours, and promotions
Search All Restaurants	Get up to 5,000+ restaurants in any location with automatic pagination
Multi-Country Support	Works across 8 Latin American countries
Real-Time Data	Fresh data directly from Rappi platform
Structured JSON Output	Clean, validated data ready for analysis

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Use Cases

• Market Research - Analyze restaurant offerings and pricing across Latin American markets
• Price Monitoring - Track menu prices and promotional offers over time
• Competitor Analysis - Compare restaurants by ratings, delivery times, and fees
• Business Intelligence - Build datasets for food service market insights
• Location Analysis - Understand restaurant density and food variety by area
• Lead Generation - Build targeted lists of restaurants for outreach

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Input Parameters

For Menu and Store Info Modes

Parameter	Required	Description
mode	Yes	"menu" or "store_info"
store_url	Yes*	Full Rappi restaurant URL
store_id	Yes*	Store ID (alternative to URL)

*Use either store_url OR store_id, not both.

Example:

{
  "mode": "menu",
  "store_url": "https://www.rappi.com.br/restaurantes/900685573-coco-bambu-jk"
}

For Restaurants Mode

Parameter	Required	Description
mode	Yes	"restaurants"
latitude	Yes	Location latitude (e.g., -23.56352)
longitude	Yes	Location longitude (e.g., -46.65433)
country	Yes	Country code: br, co, ar, cl, pe, uy
fetchAllRestaurants	No	true (default) = fetch all ~5000, false = first 50 only

Example:

{
  "mode": "restaurants",
  "latitude": -23.56352,
  "longitude": -46.65433,
  "country": "br",
  "fetchAllRestaurants": true
}

Advanced Options

Parameter	Default	Description
maxRetries	5	Retry attempts on failure (1-10)
request_waiting	5	Delay between requests in seconds (3-15)
useApifyProxy	true	Enable residential proxy
proxyCountry	BR	Proxy location (match with target country for best results)

Example with proxy configuration:

{
  "mode": "restaurants",
  "latitude": 4.7110,
  "longitude": -74.0721,
  "country": "co",
  "useApifyProxy": true,
  "proxyCountry": "CO"
}

Proxy Tip: Match proxyCountry with your target country for best results. Use useApifyProxy: false only for testing.

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Output Examples

Store Info Mode

Returns detailed restaurant information:

{
  "store_id": "900685573",
  "name": "Coco Bambu, JK",
  "brand_name": "Coco Bambu",
  "rating": 4.7,
  "num_ratings": 1500,
  "delivery_fee": 14.00,
  "delivery_fee_display": "R$ 14.00",
  "address": "Av. Antônio Joaquim de Moura Andrade, 737",
  "city": "São Paulo",
  "latitude": -23.5856315,
  "longitude": -46.6704341,
  "is_open": true,
  "categories": ["Brasileira", "Frutos do Mar"],
  "delivery_time": "45-60 min",
  "schedules": [
    {"day": "mon", "open_time": "11:00:00", "close_time": "23:00:00"}
  ],
  "payment_methods": ["PIX", "Cartão de Crédito", "Vale Refeição"],
  "discount_tags": [
    {"tag": "Até 30% Off", "value": 30.0}
  ],
  "url": "https://www.rappi.com.br/restaurantes/900685573-coco-bambu-jk"
}

Menu Mode

Returns all menu items (one object per item):

{
  "store_name": "Coco Bambu",
  "store_id": "900685573",
  "name": "Camarão Internacional",
  "description": "Camarões flambados, arroz de jasmin...",
  "category": "Pratos Principais",
  "price": 140.90,
  "price_display": "R$ 140.90",
  "has_discount": false,
  "is_available": true,
  "is_popular": false,
  "has_toppings": true,
  "image_url": "https://images.rappi.com.br/products/..."
}

Restaurants Mode

Returns all restaurants in the area (one object per restaurant):

{
  "store_id": "30000102",
  "name": "Bacio del Nonno Pizzaria",
  "rating": 4.3,
  "num_ratings": 2545,
  "delivery_fee": 6.00,
  "delivery_fee_display": "R$ 6.00",
  "address": "R. Júlio Diniz, 210 - Vila Olímpia",
  "latitude": -23.599305,
  "longitude": -46.685056,
  "is_open": true,
  "categories": ["Brasileira", "Lanches"],
  "delivery_time": "35 min",
  "has_discount": true,
  "discount_text": "Frete Grátis: mín R$45",
  "url": "https://www.rappi.com.br/restaurantes/30000102-bacio-del-nonno-pizzaria"
}

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Code Examples

Python

from apify_client import ApifyClient

client = ApifyClient("your_apify_token")

# Extract menu from a restaurant
run = client.actor("YOUR_USERNAME/rappi-restaurant-scraper").call(run_input={
    "mode": "menu",
    "store_url": "https://www.rappi.com.br/restaurantes/900685573-coco-bambu-jk"
})

items = client.dataset(run["defaultDatasetId"]).list_items().items
print(f"Found {len(items)} menu items")

for item in items[:5]:
    print(f"- {item['name']}: {item['price_display']}")

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'your_apify_token' });

// Find all restaurants in São Paulo
const run = await client.actor('YOUR_USERNAME/rappi-restaurant-scraper').call({
    mode: 'restaurants',
    latitude: -23.56352,
    longitude: -46.65433,
    country: 'br'
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Found ${items.length} restaurants`);

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Supported Countries

Country	Code	Latitude	Longitude	Example URL
Brazil	br	-23.56352	-46.65433	rappi.com.br
Colombia	co	4.7110	-74.0721	rappi.com.co
Argentina	ar	-34.6037	-58.3816	rappi.com.ar
Chile	cl	-33.4489	-70.6693	rappi.cl
Peru	pe	-12.0464	-77.0428	rappi.pe
Uruguay	uy	-34.9011	-56.1645	rappi.com.uy

How to get coordinates: Right-click on Google Maps and click on the coordinates to copy them.

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FAQ

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Support

Having issues?

1. Check the FAQ above for common solutions
2. Review your input parameters
3. Test with the examples provided in Quick Start
4. Contact support through Apify for additional assistance