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URL: https://apify.com/parseforge/rappi-scraper

⇱ Rappi Scraper - Restaurants and Store Listings Β· Apify


πŸ‘ Rappi Restaurants & Stores Scraper avatar

Rappi Restaurants & Stores Scraper

Pricing

Pay per event

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Rappi Restaurants & Stores Scraper

Get restaurant listings with ratings and delivery info, and store data including markets, pharmacies, and liquor stores. Supports Colombia, Mexico, Brazil, Peru, Chile, Argentina, Ecuador, Uruguay, and Costa Rica. Export data with images, URLs, ratings, prices, metadata.

Pricing

Pay per event

Rating

5.0

(2)

Developer

πŸ‘ ParseForge

ParseForge

Maintained by Community

Actor stats

2

Bookmarked

42

Total users

5

Monthly active users

25 days ago

Last modified

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πŸ₯‘ Rappi Restaurants & Stores Scraper

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

πŸ•’ Last updated: 2026-05-09 Β· πŸ“Š 30+ fields per listing Β· 🌎 9 LATAM countries Β· 🚫 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.

πŸ‘₯ Built for🎯 Primary use cases
LATAM market researchersMap restaurant density by city and country
Delivery competitive intelTrack Rappi vs Uber Eats vs DoorDash
Restaurant chainsMonitor presence across LATAM markets
Investment researchAnalyze on-demand market dynamics
FMCG brandsTrack product availability across delivery channels
Lead-gen and salesSource restaurant operator contacts

πŸ“‹ 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).
  • πŸ”„ Sort options. Default order or by rating.
  • πŸ’Ž Prime filter. Only Prime-exclusive listings.
  • 🚚 Free-delivery filter. Only listings with free delivery.
  • πŸͺ 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.

πŸ’‘ 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.


🎬 Full Demo

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


βš™οΈ Input

FieldTypeNameDescription
maxItemsintegerMax ItemsFree users: limited to 10 items (preview). Paid users: optional, max 1,000,000.
startUrlsarrayStart URLsDirect Rappi URLs (e.g. https://www.rappi.com.co/restaurantes). Mutually exclusive with country filters.
countryenumCountryCountry code: co, mx, br, pe, cl, ar, ec, uy, cr.
restaurantSortenumRestaurant Sortdefault or rating.
restaurantPrimebooleanPrime OnlyShow only Prime-exclusive restaurants.
restaurantFreeDeliverybooleanFree Delivery OnlyShow only listings with free delivery.
storeTypestringStore TypeFilter 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.


πŸ“Š 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

FieldTypeExample
πŸ–ΌοΈ imageUrlstring (url)https://images.rappi.com/.../restaurant.jpg
🏷️ namestringCrepes & Waffles
⭐ ratingnumber4.8
πŸ’¬ reviewCountnumber12450
🍽️ cuisinestringInternational
🚚 deliveryFeenumber0
πŸ’± currencystringCOP
⏱️ deliveryTimestring25-35 min
πŸ’Ž isPrimebooleantrue
πŸ†“ isFreeDeliverybooleantrue
πŸ“ addressstringAv. 19 #100-25, Bogota, Colombia
πŸ™οΈ citystringBogota
🌍 countrystringco
πŸͺ storeTypestringrestaurant
πŸ”— urlstring (url)https://www.rappi.com.co/restaurantes/crepes-waffles
πŸ“… scrapedAtISO datetime2026-05-09T12:00:00.000Z

πŸ“¦ 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"
}

✨ Why choose this Actor

Capability
🎯Built for the job. Scoped specifically to Rappi so you skip the parser engineering entirely.
πŸ”–Structured output. Clean, typed fields ready for analysis, dashboards, or downstream pipelines.
⚑Fast. Optimized request patterns return results in seconds, not minutes.
πŸ”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.
πŸ›‘οΈ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.

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


πŸ“ˆ How it compares to alternatives

ApproachCostCoverageRefreshFiltersSetup
⭐ Rappi Scraper (this Actor)$5 free credit, then pay-per-use9 LATAM countriesLive per runCountry, sort, prime, free-delivery, store type⚑ 2 min
Build your own scraperEngineering hoursFull once builtWhenever you maintain itCustom code🐒 Days to weeks
Paid delivery-data platforms$$$ monthlyVendor-definedPeriodicVendor-defined⏳ Hours
Manual searchesHours per checkLimitedStaleManualπŸ•’ Variable

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


πŸš€ How to use

  1. πŸ“ 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. πŸš€ Run it. Click Start and let the Actor collect your data.
  5. πŸ“₯ 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.


πŸ’Ό Business use cases

πŸ“Š 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

πŸ› οΈ 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

🌟 Beyond business use cases

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

πŸŽ“ 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

πŸ§ͺ 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

πŸ”Œ Automating Rappi Scraper

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

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.


❓ Frequently Asked Questions

πŸ”Œ 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.


πŸ”— Recommended Actors

πŸ’‘ Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.


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


⚠️ 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.

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