🥡 Rappi Restaurants & Stores Scraper

🚀 Pull restaurants and stores from Rappi in minutes. 9 LATAM countries. Restaurants, markets, pharmacies, liquor stores. No login.

🕒 Last updated: 2026-05-09 · 📊 30+ fields per listing · 🌎 9 LATAM countries · 🚫 No auth required

Pull live restaurant and store listings from Rappi, the largest LATAM on-demand delivery platform. The actor accepts a country plus filter combination (or a direct URL) and walks Rappi's catalog to return one structured record per business ready for delivery-market analysis, restaurant intelligence, marketplace research, or competitive monitoring.

Every run fetches data live so you get the current state of Rappi at run time. Records include the business name, image, rating, review count, delivery time, delivery fee, Prime flag, free-delivery flag, address, store type, full menu metadata where exposed, and a back-reference URL.

👥 Built for	🎯 Primary use cases
LATAM market researchers	Map restaurant density by city and country
Delivery competitive intel	Track Rappi vs Uber Eats vs DoorDash
Restaurant chains	Monitor presence across LATAM markets
Investment research	Analyze on-demand market dynamics
FMCG brands	Track product availability across delivery channels
Lead-gen and sales	Source restaurant operator contacts

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📋 What the Rappi Scraper does

• 🌎 9-country support. Colombia, Mexico, Brazil, Peru, Chile, Argentina, Ecuador, Uruguay, Costa Rica.
• 🍽️ Restaurants and stores. Pull restaurants OR stores (markets, pharmacies, liquor stores).
• 🔄 Sort options. Default order or by rating.
• 💎 Prime filter. Only Prime-exclusive listings.
• 🚚 Free-delivery filter. Only listings with free delivery.
• 🏪 Store type filter. Markets, pharmacies, liquor stores, etc.

The scraper accepts either a country + filter combination OR direct Rappi URLs. It walks Rappi's API surface and pushes structured records to the dataset.

💡 Why it matters: Rappi is the largest on-demand platform in LATAM but lacks bulk export. A live, structured pull beats manual scraping for delivery-market analysis, brand presence monitoring, and competitive research.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing setup, a live run, and how to pipe results into Google Sheets via Apify integrations.

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⚙️ Input

Field	Type	Name	Description
maxItems	integer	Max Items	Free users: limited to 10 items (preview). Paid users: optional, max 1,000,000.
startUrls	array	Start URLs	Direct Rappi URLs (e.g. https://www.rappi.com.co/restaurantes). Mutually exclusive with country filters.
country	enum	Country	Country code: co, mx, br, pe, cl, ar, ec, uy, cr.
restaurantSort	enum	Restaurant Sort	default or rating.
restaurantPrime	boolean	Prime Only	Show only Prime-exclusive restaurants.
restaurantFreeDelivery	boolean	Free Delivery Only	Show only listings with free delivery.
storeType	string	Store Type	Filter by store category (markets, pharmacies, liquor stores).

Example 1. Top-rated restaurants in Colombia.

{
  "country": "co",
  "restaurantSort": "rating",
  "maxItems": 50
}

Example 2. Direct URL for Mexico City pharmacies.

{
  "startUrls": [
    "https://www.rappi.com.mx/tiendas/farmacias"
  ],
  "maxItems": 100
}

⚠️ Good to Know: when startUrls is set, country and other filter parameters are ignored. Use the URL approach for the most precise scraping.

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📊 Output

The dataset returns one structured record per restaurant or store. Each record carries identifiers, name, image, rating, delivery info, address, store type, and a back-reference URL. Consume the dataset as JSON, CSV, Excel, XML, or RSS via the Apify console or API.

🧾 Schema

Field	Type	Example
🖼️ imageUrl	string (url)	https://images.rappi.com/.../restaurant.jpg
🏷️ name	string	Crepes & Waffles
⭐ rating	number	4.8
💬 reviewCount	number	12450
🍽️ cuisine	string	International
🚚 deliveryFee	number	0
💱 currency	string	COP
⏱️ deliveryTime	string	25-35 min
💎 isPrime	boolean	true
🆓 isFreeDelivery	boolean	true
📍 address	string	Av. 19 #100-25, Bogota, Colombia
🏙️ city	string	Bogota
🌍 country	string	co
🏪 storeType	string	restaurant
🔗 url	string (url)	https://www.rappi.com.co/restaurantes/crepes-waffles
📅 scrapedAt	ISO datetime	2026-05-09T12:00:00.000Z

📦 Sample records

1. Top-rated restaurant (Colombia)

{
  "imageUrl": "https://images.rappi.com/abc/restaurant.jpg",
  "name": "Crepes & Waffles",
  "rating": 4.8,
  "reviewCount": 12450,
  "cuisine": "International",
  "deliveryFee": 0,
  "currency": "COP",
  "deliveryTime": "25-35 min",
  "isPrime": true,
  "isFreeDelivery": true,
  "address": "Av. 19 #100-25, Bogota, Colombia",
  "city": "Bogota",
  "country": "co",
  "storeType": "restaurant",
  "url": "https://www.rappi.com.co/restaurantes/crepes-waffles",
  "scrapedAt": "2026-05-09T12:00:00.000Z"
}

2. Pharmacy in Mexico

{
  "imageUrl": "https://images.rappi.com/def/pharmacy.jpg",
  "name": "Farmacias del Ahorro",
  "rating": 4.6,
  "reviewCount": 5200,
  "deliveryFee": 35,
  "currency": "MXN",
  "deliveryTime": "20-30 min",
  "isPrime": false,
  "isFreeDelivery": false,
  "address": "Av. Insurgentes Sur 850, Mexico City",
  "city": "Mexico City",
  "country": "mx",
  "storeType": "pharmacy",
  "url": "https://www.rappi.com.mx/tiendas/farmacias-del-ahorro",
  "scrapedAt": "2026-05-09T12:00:00.000Z"
}

3. Sparse record (small local restaurant)

{
  "name": "Cafe Local",
  "rating": 4.2,
  "reviewCount": 35,
  "deliveryFee": 4500,
  "currency": "COP",
  "deliveryTime": "30-45 min",
  "city": "Medellin",
  "country": "co",
  "storeType": "restaurant",
  "url": "https://www.rappi.com.co/restaurantes/cafe-local",
  "scrapedAt": "2026-05-09T12:00:00.000Z"
}

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✨ Why choose this Actor

	Capability
🎯	Built for the job. Scoped specifically to Rappi so you skip the parser engineering entirely.
🔖	Structured output. Clean, typed fields ready for analysis, dashboards, or downstream pipelines.
⚡	Fast. Optimized request patterns return results in seconds, not minutes.
🔁	Always fresh. Every run pulls live data, so the dataset reflects Rappi as of run time.
🌐	No infra to manage. Apify handles proxies, retries, scaling, scheduling, and storage.
🛡️	Reliable. Battle-tested across many runs and edge cases, with graceful error handling.
🚫	No code required. Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK.

📊 Production-grade structured LATAM delivery data without the engineering overhead of building and maintaining your own scraper.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ Rappi Scraper (this Actor)	$5 free credit, then pay-per-use	9 LATAM countries	Live per run	Country, sort, prime, free-delivery, store type	⚡ 2 min
Build your own scraper	Engineering hours	Full once built	Whenever you maintain it	Custom code	🐢 Days to weeks
Paid delivery-data platforms	$$$ monthly	Vendor-defined	Periodic	Vendor-defined	⏳ Hours
Manual searches	Hours per check	Limited	Stale	Manual	🕒 Variable

Pick this Actor when you want broad coverage, source-native filtering, and no pipeline maintenance.

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🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Rappi Scraper page on the Apify Store.
3. 🎯 Set country + filters. Pick a country and configure sort and other filters, then set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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💼 Business use cases

📊 LATAM market research Map restaurant density by city and country Track delivery-market growth across LATAM Build cuisine-mix dashboards by country Surface emerging markets in target cities	🏢 Brand presence monitoring Track restaurant chain presence across LATAM Monitor competitor delivery footprint Build brand-share-of-restaurant metrics Spot new market entries
🎯 Investment and M&A Analyze on-demand market dynamics Build comp sets for restaurant valuations Track delivery-platform adoption by city Surface acquisition target candidates	🛠️ Engineering and product Prototype delivery-data products without owning a crawler Replace fragile in-house Rappi scrapers Wire datasets into your apps via the Apify API or webhooks Skip the proxy, retry, and parsing maintenance entirely

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

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🔌 Automating Rappi Scraper

This Actor exposes a REST endpoint, so you can drive it from any language or workflow tool.

• Node.js - call it via the Apify JS SDK.
• Python - call it via the Apify Python SDK.
• REST - hit it directly through the Apify v2 API.

Schedules. Use Apify Scheduler to capture daily snapshots of Rappi listings. Combine with the Apify dataset diff tools to track new and removed restaurants between runs.

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❓ Frequently Asked Questions

🔌 Integrate with any app

Rappi Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe results into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes.

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🔗 Recommended Actors

• 🍔 DoorDash Scraper - DoorDash restaurant and store data
• 🍕 Booksy Business Scraper - Beauty and wellness business data
• 🛒 Walmart Grocery Scraper - Walmart grocery listings
• 🛍️ Mercari Scraper - Mercari marketplace listings
• 🗺️ Google Maps Scraper - Google Maps places and businesses

💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

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🆘 Need Help? Open our contact form to request a new scraper, propose a custom project, or report an issue.

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⚠️ Disclaimer. This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Rappi. All trademarks mentioned are the property of their respective owners. The scraper accesses only publicly available pages and is intended for legitimate research, analytics, and lead-generation use. Users are responsible for compliance with the source site's Terms of Service and applicable law.