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🍔 Rappi Restaurants Scraper 🚴📊🌎 - Fast Restaurant Data Extraction

The Rappi Restaurants Scraper is a fast, reliable, and powerful tool that extracts structured restaurant listings from Rappi, one of the largest food delivery platforms in Latin America.

Whether you're monitoring restaurant listings, analyzing competitors, building lead databases, or tracking delivery marketplaces, this scraper delivers clean and structured Rappi restaurant data at scale — instantly and with no coding required.

🔍 What This Scraper Does

Simply provide one or multiple Rappi restaurant category/search URLs, and the scraper will return:

✅ All available restaurants matching your search (up to your selected limit) ✅ Clean, structured restaurant data including ratings, delivery information, images, and more

⚡ Average performance: Extracting 100–200 restaurants usually takes 30–60 seconds depending on category size and available listings.

🛠 How to Use the Scraper

1️⃣ Enter one or more Rappi restaurant URLs

Examples:

urls =[
"https://www.rappi.com.co/bello/restaurantes",
"https://www.rappi.com.co/restaurantes"
]

2️⃣ Set your maximum items per URL

maxItems =100

3️⃣ Run the scraper

Export your results in:

• JSON
• CSV
• Excel
• XML
• HTML

💰 Pricing

This scraper uses a pay-per-event model.

You are only charged for successful results.

Price: $1.99 per 1,000 results

🌟 Why Use This Scraper?

• 🍕 Restaurant Discovery — Collect restaurant listings across cities and categories

• 📈 Lead Generation — Build restaurant databases and contact datasets

• 🔎 Competitor Analysis — Track restaurant visibility, ratings, and delivery metrics

• 🚀 Fast & Reliable — Handles large restaurant listings smoothly

• 🌎 Latin America Focused — Optimized for Rappi marketplace data

• 📊 Marketplace Intelligence — Analyze delivery trends and restaurant performance

📥 Input Schema

Input example:

{
"urls":[
"https://www.rappi.com.co/bello/restaurantes",
"https://www.rappi.com.co/restaurantes"
],
"maxItems":100
}

Input fields:

📤 Output Example

{
"store_id":"900021278",
"name":"Mis Carnes Parrilla",
"rating":"4.5",
"eta":"29 min",
"delivery_price":"$ 1.800",
"image":"https://images.rappi.com/restaurants_background/mscarnes1-1746742717044.jpg?e=webp&q=40&d=300x300",
"logo":"https://images.rappi.com/restaurants_logo/900010377-1516053536.png?d=10x10&q=10&e=webp",
"url":"https://www.rappi.com.co/restaurantes/900021278-mis-carnes-parrilla",
"source_url":"https://www.rappi.com.co/bello/restaurantes"
}

🧾 Output Explanation

The output is a list of restaurant objects, each containing:

store_id Unique restaurant identifier on Rappi

name Restaurant name

rating Average customer rating

eta Estimated delivery time

delivery_price Delivery fee for orders

image Main restaurant image URL

logo Restaurant logo image URL

url Direct restaurant page URL

source_url Original search/category URL used to collect the restaurant

🔥 Common Use Cases

• Restaurant market research

• Delivery platform monitoring

• Competitor tracking

• Restaurant lead generation

• Food delivery analytics

• Marketplace intelligence dashboards

🔎 Powered by ScrapeStorm

✨ Start scraping Rappi restaurants like a pro — no coding required!

📫 Support

😊 Leave us a star ⭐⭐⭐⭐⭐ if you are satisfied with the product!

🌍 For questions, feature requests, customizations, or issues, please reach out through Apify's platform or contact:

Storm_Scraper 🌪️🌩️