Rappi Scraper | LATAM Restaurants, Menus & Tiendas (9 Countries)

Scrape Rappi — Latin America’s leading on-demand delivery marketplace — for restaurant lists, ratings, delivery fees/ETA, categories, brand store maps, search hits, home feeds, full menus, and tiendas (markets, pharmacies, and other verticals) across 9 countries.

Cover Mexico, Colombia, Brazil, Argentina, Chile, Peru, Ecuador, Uruguay, and Costa Rica in one Actor. Export CSV / Excel / JSON. Run from the Apify Console, API, or Make / n8n / Zapier.

Unofficial — not affiliated with Rappi.

Looking for PedidosYa, Foodora, Foodpanda, Uber Eats, DoorDash, iFood, Grab, Wolt, or Deliveroo? Those platforms have separate Store Actors. This one is built for Rappi country sites (rappi.com.mx, rappi.com.co, rappi.com.br, …).

Compared with other Rappi Store Actors, this build emphasizes search / home / brand modes, city seeds, Ver más pagination, menu enrichment + promo cleaning, and tiendas verticals — not only a basic country + restaurant list.

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What data can you extract from Rappi?

Mode	What you get
restaurants / nearMe	Nearby restaurant cards (rating, ETA, delivery cost, logo, URL)
category	Cuisine / category listings (e.g. pizza, sushi, hamburguesas)
restaurant	Store detail plus separate menu-item rows (when enabled and available)
stores	Tiendas verticals (market, farmatodo, express, …)
search	Site search hits for a query
home	Home / SSG feed restaurants (falls back to restaurants list when needed)
brand	All stores for a chain brand id (city delivery map)
discoverCountries / discoverCities / discoverCategories / discoverVerticals	Market, city, cuisine, and tiendas discovery
startUrls	Paste Rappi restaurant / category / search / brand / tiendas URLs

Extras: citySlug, freeDelivery / minRating / openNow / filters[], enrichMenus / maxEnrich, cleanMenu, includeProducts, maxPages (Ver más).

Typical fields: rowType, id, storeId, brandId, name / title, url, country, rating, eta, deliveryCost, hasFreeShipping, menuItemCount, recordType, scrapedAt.

One billed entity per Dataset row

Each Dataset item is one billable entity. Restaurant/store rows use rowType: "restaurant" or "store"; menu products use "menuItem" and tiendas products use "product". Child rows copy the parent storeId, storeName, storeUrl, country, city, address, and coordinates. Parent rows keep counts but no longer contain menuItems or products arrays.

maxResults is the maximum number of rows for each start URL or scalar restaurant, category, search, brand, tiendas, or discovery target. The default is 70, and larger requests continue in parts of 70. Every row type shares its input's budget, and the run stops at your maximum total charge. At most 25 child rows are emitted per store so one merchant cannot consume the input. Continuation also works when a unit stops partway through one store's menu. includeMenuItems, includeProducts, and enrichMenus default to false; enable them only when you want separately billed child rows.

Use cases: competitor price & assortment monitoring, menu intelligence, delivery-fee benchmarks, lead gen, and LATAM q-commerce research.

Merchant lead and contact fields

Every restaurant, brand-store, search, and tiendas row exposes the same lead shape, even when a field is empty. Empty values are explained in leadAbsences; they are not silently omitted.

Field	Type	Rappi meaning
phones	[{value, type, e164?}]	Merchant phone, landline, or WhatsApp numbers. Opened Mexico merchant surfaces did not publish these.
emails	[{value, type}]	Merchant email addresses. Opened Mexico merchant surfaces did not publish these.
address	{street, unit, locality, region, postalCode, country, full}	Merchant or branch address. unit is the street number / door number. Mexico Detail and Brand pages can provide this.
geo	{lat, lng}	Merchant coordinates when the detail payload provides them. Coordinates supplement the address; they do not replace it.
person	{name, role?}	A named merchant owner or contact. This remains unverified on the measured Rappi guest surfaces.
org	{name, id?}	Restaurant, chain, branch, supermarket, or other merchant organization. Search, Detail, Brand, and Tiendas can provide it.
web	{website, socials[]}	Merchant-owned website and social links. A Rappi listing URL is platform-owned and is not a merchant website.
leadSource	search | detail | entity | contact | reveal-xhr	The surface that supplied the lead evidence. For example, Search supplies merchant identity while Detail supplies branch-level fields.
leadReveal	visible | click | xhr | gated | image | absent	How the lead became available, or whether it was absent or gated. Measured Mexico merchant data was already visible in page JSON; there was no contact reveal control.
leadAbsences	object/map	Evidence-backed reasons for missing subfields, such as 本站无, 闸门锁, 未验证, or 未验证（详情补全失败）.

Measured lead examples

• Mexico Restaurant Detail / Brand: the measured McDonald's Juárez path exposed C. Génova 56, Juárez, Cuauhtémoc, 06600 Ciudad de México, CDMX, México, coordinates 19.4261057,-99.1636714, and the McDonald's organization / branch identity.
• Mexico Search: merchant organization is visible on cards. With enrichDetails=true, the worker follows a retained restaurant identity to its Detail page for address and coordinates.
• Mexico Tiendas: opened list data exposed organizations such as Chedraui, La Comer, and Soriana Híper. The opened list itself did not expose a merchant address.

Reveal and enrichment cost

• There is no phone/email “show” click or post-click XHR in the measured Mexico merchant contract (revealControls=[]).
• Direct Detail and Brand inputs read already-rendered JSON-LD / __NEXT_DATA__; Brand's Ver más is a client-only expansion and does not send another business request.
• Search/list lead enrichment can add at most one Detail request per retained restaurant row. Lead-only enrichment disables menu acquisition, but it still increases runtime and can encounter per-branch availability or rate limits.
• Deterministic 401, 403, and 429 responses are not retried, browser-fallbacked, or parsed as merchant data.

Honest limitations

• Verified merchant path: Mexico Detail / Brand exposed address, coordinates, and organization on the measured McDonald's Juárez path described above.
• Opened Mexico merchant surfaces: merchant phones, emails, websites, and social links were not present (本站无). person remains unverified (未验证).
• Random acceptance variance: build 0.1.11, run uuZs8OjeYifVGNNhE, dataset KtdGMUknZDlyxh8fq returned two Mexico Search rows with organizations. Both Detail follows failed (detailsSucceeded=0, detailsFailed=2), so those rows correctly report address and coordinates as 未验证（详情补全失败）. This does not mean Rappi has no merchant address, and it does not invalidate the measured Detail / Brand path.
• Gated surfaces: the measured Colombia restaurant Detail returned 403; the Mexico restaurant catalog XHR returned 429. A 200 Mexico /restaurantes shell without catalog rows is not treated as catalog success.
• Unopened surfaces: named contacts, categories, and markets not opened during the bounded research remain 未验证, not 本站无.
• Platform contacts are excluded: Rappi S.A.S., its NIT, Colombia footer address, notificacionesrappi@rappi.com, and Rappi social links belong to the platform. They are never copied into merchant lead fields.

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Why this Rappi scraper?

• Rappi-specific — not a generic multi-site delivery scraper
• 9 LATAM markets + secondary city seeds (e.g. Guadalajara, Medellín, São Paulo metros)
• Menus & tiendas — list modes plus optional menu enrichment and store-product deep scrape
• Search / home / brand — beyond plain restaurant catalogs
• Pay per result — Actor start + dataset items; volume tiers on Store
• Free Apify plan caps (developer-set): 10 runs · 200 results per run

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Example inputs

Montevideo restaurants

{
  "mode": "restaurants",
  "country": "uy",
  "maxResults": 30,
  "maxPages": 2
}

Buenos Aires Chinese category + rating filter

{
  "mode": "category",
  "country": "ar",
  "categorySlug": "china",
  "minRating": 3.7,
  "maxResults": 25
}

Mexico City brand stores (McDonald’s)

{
  "mode": "brand",
  "country": "mx",
  "brandId": "706",
  "brandSlug": "mcdonalds",
  "maxResults": 40
}

Brazil search

{
  "mode": "search",
  "country": "br",
  "query": "açaí",
  "maxResults": 20
}

Restaurant menu by store id

{
  "mode": "restaurant",
  "country": "mx",
  "storeId": "1923787067",
  "includeMenuItems": true,
  "cleanMenu": true,
  "maxResults": 10
}

Discover cities (Brazil)

{
  "mode": "discoverCities",
  "country": "br",
  "maxResults": 20
}

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Pricing

Pay per event — you pay for Actor starts and each entity row written to the default dataset. Platform compute usage is not charged to the user on this Actor (developer pays).

Event	Price
Actor start (apify-actor-start)	$0.005 per start (per GB of memory, min 1)
Result (apify-default-dataset-item)	$3.00 / 1,000 on FREE & BRONZE

Tier	$/1,000 results	per result
FREE*	$3.00	$0.003
BRONZE	$3.00	$0.003
SILVER	$2.60	$0.0026
GOLD	$2.20	$0.0022
PLATINUM	$2.00	$0.002
DIAMOND	$1.60	$0.0016

*FREE tier uses the same unit price as BRONZE. Exact billing always follows your Apify plan tier in the Console.

Rough example: 1,000 restaurant rows ≈ $3.00 + $0.005 start (FREE/BRONZE) at default 1024 MB memory (one start event).

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Free Apify plan limits

Cap	Value
Runs	10
Results / run	200

These caps are set by the Actor developer (not Apify platform defaults). Paying Apify users are unlimited (schema max still applies).

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More Actors like this

Use a specialized Actor when one exists for your site — structured fields and usually lower cost than a generic URL scraper. For Rappi LATAM markets, stay on this Actor.

Food delivery & local discovery

• PedidosYa Scraper — PedidosYa LATAM (15 countries)
• Foodora Scraper — Foodora EU (NO/SE/AT/HU/CZ)
• Foodpanda Scraper — Foodpanda Asia
• Uber Eats Scraper
• DoorDash Scraper
• iFood Scraper — Brazil
• Grab Scraper
• Wolt Scraper
• Deliveroo Scraper
• Google Maps Scraper — venues, ratings, phone & hours
• TripAdvisor Scraper — restaurants & reviews
• Stealth Web Scraper — arbitrary protected public URLs

E-commerce (prices & catalogs)

• Costco Product Scraper
• Walmart Product Scraper
• Amazon Search Scraper
• E-commerce Scraper
• Target Product Scraper
• SHEIN Product Scraper
• Temu Product Scraper
• Allegro Scraper
• MercadoLibre Scraper

Travel & stays

• Booking.com Hotels Scraper
• Airbnb Listings Scraper
• Expedia Scraper
• Agoda Scraper
• Despegar Scraper

Jobs & freelance

• LinkedIn Jobs Scraper
• Indeed Jobs Scraper
• Upwork Jobs Scraper

Social & ads

• TikTok Scraper
• YouTube Research Scraper
• Facebook Ad Library Scraper

General tools

• Email Risk Validator
• Phone Number Intelligence

→ Full catalog in Related Actors · profile apify.com/lentic_clockss

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How to use (no code required)

1. Click Try for free on this Actor page
2. Choose a mode (restaurants is a good start)
3. Set country (e.g. mx, co, br, ar) and optionally citySlug / lat / lng
4. Optionally set categorySlug, query, brandId, or a storeUrl / storeId
5. Optionally enable enrichMenus to pull a few full menus after a list
6. Click Start — open the Dataset tab for rows; Key-value store for INPUT_ECHO / RUN_SUMMARY

Download as CSV, Excel, or JSON.

Connect to your tools

Platform	How
Make.com	Apify → Run Actor → lentic_clockss/rappi-scraper
n8n	Apify node → Run Actor
Zapier	Apify → Run Actor
API / SDK	Apify Client (actorId: lentic_clockss/rappi-scraper)

curl "https://api.apify.com/v2/acts/lentic_clockss~rappi-scraper/runs" \
  -X POST \
  -H "Authorization: Bearer YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"mode":"restaurants","country":"mx","maxResults":20,"maxPages":1}'

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Coverage matrix

Dimension	Covered
Markets	mx co ar br cl pe ec uy cr + city seeds
Modes	restaurants · nearMe · category · restaurant · stores · search · home · brand · discover* · startUrls
Filters	freeDelivery · minRating · openNow · filters[]
Extras	Ver más pagination · enrichMenus · cleanMenu · tiendas products
Excluded	RappiPrime login-only prices · checkout · Travel / RappiCard
Output	Dataset rows + KV INPUT_ECHO / RUN_SUMMARY / ERROR_SUMMARY

Default run memory 1024 MB.

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FAQ

Is this official Rappi software?
No. It collects publicly rendered listing and menu data for research and analysis. Respect site terms and local law.

Which domains are supported?
Country hosts such as rappi.com.mx, rappi.com.co, rappi.com.br, and the other LATAM hosts in the country list. Use discoverCountries / discoverCities to enumerate markets and metro seeds.

Do I need my own proxies?
No for normal Store runs — residential egress is handled for you.

What about PedidosYa / Foodora / Uber Eats / iFood?
Different products and domains. Use the dedicated Actors linked under More Actors like this, or Stealth Web Scraper for ad-hoc URLs.

Brand page vs restaurant menu?
URLs like /{city}/restaurantes/delivery/{brandId}-… are brand city maps (many stores). Use mode=brand with brandId. Individual menus use mode=restaurant with storeId / store URL.

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Related Actors

All 77 public Actors from [lentic_clockss]. Click a name to open the Store detail page.

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• Booking.com & Airbnb Scraper
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• Airbnb Listings Scraper
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Social & Content

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Ads Intelligence

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• Google Ads Transparency VN
• TikTok Ads Scraper

Local & Maps

• Google Maps Scraper

General Tools

• Stealth Web Scraper
• Email Risk Validator
• Phone Number Intelligence

→ Browse the full profile: apify.com/lentic_clockss