PedidosYa Restaurants, Delivery Fees & Ratings Scraper

Here is one real result, with every field the actor returns:

{
  "restaurantId": 44745,
  "restaurantName": "Subway Obelisco - 63513",
  "businessType": "RESTAURANT",
  "cuisine": "Sándwiches",
  "categories": [
    "Sándwiches"
  ],
  "categoryCount": 1,
  "ratingScore": 3.79,
  "ratingCount": 173,
  "priceClassification": "MEDIUM",
  "deliveryFee": 499,
  "deliveryFeeWithDiscount": 0,
  "currency": "ARS",
  "deliveryType": "OWN_DELIVERY",
  "deliveryModes": [
    "PICK_UP",
    "DELIVERY"
  ],
  "deliveryTimeLabel": "5-20 min",
  "deliveryTimeMin": 5,
  "deliveryTimeMax": 20,
  "pickupTimeMin": 6,
  "distanceMeters": 113,
  "status": "OPEN",
  "openUntil": "2026-08-11T02:00:00-03:00",
  "isNew": false,
  "isExclusive": false,
  "isFeatured": false,
  "hasDiscount": true,
  "discountCount": 2,
  "topDiscountAmount": 100,
  "topDiscountType": "PERCENTAGE",
  "latitude": -34.60329735,
  "longitude": -58.38236540000001,
  "headerImageUrl": "https://pedidosya.dhmedia.io/image/pedidosya/profile-headers/188f3e83-b7cf-4e47-946d-aca2ed7f016e.jpg",
  "city": "Buenos Aires",
  "citySlug": "buenos-aires",
  "country": "AR",
  "countryName": "Argentina",
  "searchTerm": "buenos-aires",
  "listingUrl": "https://www.pedidosya.com.ar/restaurantes/buenos-aires/subway-obelisco-63513-75339617-1452-4f1a-b1a6-de11c282ae16-menu",
  "source": "pedidosya",
  "observedAt": "2026-08-10T14:34:53.187Z"
}

The most complete PedidosYa scraper available. It returns every field the PedidosYa listing exposes for each restaurant or store, plus parsed delivery times, discount detail and geo coordinates, and lets you scan any city, search term or listing URL across 15 countries.

📥 Input · 📤 Output · 💰 Pricing · ▶️ Examples

Table of contents

• What it does
• Quickstart
• Input reference
• Output reference
• Example output record
• Run via API and CLI
• Fetch results
• Billing and limits
• FAQ and troubleshooting

What it does

The actor scans PedidosYa restaurant and store listings for the cities, search terms or listing URLs you pass, paginates each one, and writes one normalized record per restaurant to the run's dataset. Ratings, delivery fees, delivery times, discounts, price tier and geo coordinates are all parsed into typed fields so you can filter and rank without extra work. Delivery time labels like 5-20 min are also split into deliveryTimeMin and deliveryTimeMax.

It covers 15 PedidosYa countries. Pass plain city slugs (for example buenos-aires, montevideo, santiago) with a country, or paste full listing URLs which carry their own country. Missing source values are returned as null, never invented.

Quickstart

Open the actor, paste this into the input, and press Run. It returns up to 10 restaurants in Buenos Aires, Argentina.

{
  "searchTerms": ["buenos-aires"],
  "country": "AR",
  "maxRestaurants": 10
}

Add more city slugs or full listing URLs to searchTerms to scan several areas in one run. Leave searchTerms empty to use the main city of the selected country.

Input reference

Field	Type	Required	Default	Description
searchTerms	string[]	no	["buenos-aires"]	City slugs (for example buenos-aires, montevideo, santiago), search terms, or full PedidosYa listing URLs. One run scans every term and paginates each. If empty, the main city of the selected country is used.
country	enum	no	AR	PedidosYa country to scan when your terms are plain city slugs. One of AR, UY, CL, PE, VE, PA, EC, PY, CR, BO, DO, SV, NI, GT, HN. Ignored for full listing URLs, which carry their own country.
maxRestaurants	integer	no	10	Maximum number of restaurants or stores to return across the whole run.

Output reference

One dataset item per restaurant or store. Types: string, integer, number, boolean, string[], or null when the source value is absent.

Field	Type	Description
restaurantId	integer	PedidosYa restaurant or store id (unique).
restaurantName	string	Business name as listed.
businessType	string	Business type, for example RESTAURANT.
cuisine	string	Primary cuisine or category label.
categories	string[]	All cuisine or category labels.
categoryCount	integer	Number of categories.
ratingScore	number	Average rating (0 to 5), or null.
ratingCount	integer	Number of ratings.
priceClassification	string	Price tier, for example MEDIUM, VERY_EXPENSIVE.
deliveryFee	number	Delivery fee in currency.
deliveryFeeWithDiscount	number	Delivery fee after discount, when applicable.
currency	string	Currency code, for example ARS.
deliveryType	string	Delivery model, for example OWN_DELIVERY.
deliveryModes	string[]	Available modes, for example DELIVERY, PICK_UP.
deliveryTimeLabel	string	Delivery time as shown, for example 5-20 min.
deliveryTimeMin	integer	Minimum delivery time in minutes.
deliveryTimeMax	integer	Maximum delivery time in minutes.
pickupTimeMin	integer	Minimum pickup time in minutes, or null.
distanceMeters	integer	Distance from the search point in meters, or null.
status	string	Store status, for example OPEN, CLOSED.
openUntil	string	Time the store is open until (ISO 8601), or null.
isNew	boolean	true when flagged as new.
isExclusive	boolean	true when exclusive to PedidosYa.
isFeatured	boolean	true when featured.
hasDiscount	boolean	true when any discount is active.
discountCount	integer	Number of active discounts.
topDiscountAmount	number	Largest discount amount or percent, or null.
topDiscountType	string	Type of the top discount, for example PERCENTAGE, or null.
latitude	number	Latitude, or null.
longitude	number	Longitude, or null.
headerImageUrl	string	Header image URL, or null.
city	string	City name.
citySlug	string	City slug used in the URL.
country	string	Two-letter country code.
countryName	string	Full country name.
searchTerm	string	The input term this record came from.
listingUrl	string	Full URL of the restaurant listing.
source	string	Always pedidosya.
observedAt	string	ISO 8601 timestamp of when the record was collected.

Example output record

Real record from a live run (input {"searchTerms": ["buenos-aires"], "country": "AR", "maxRestaurants": 10}):

{
  "restaurantId": 137390,
  "restaurantName": "KFC - Obelisco",
  "businessType": "RESTAURANT",
  "cuisine": "Pollo",
  "categories": [
    "Pollo"
  ],
  "categoryCount": 1,
  "ratingScore": 4.57,
  "ratingCount": 1877,
  "priceClassification": "VERY_EXPENSIVE",
  "deliveryFee": 499,
  "deliveryFeeWithDiscount": 0,
  "currency": "ARS",
  "deliveryType": "OWN_DELIVERY",
  "deliveryModes": [
    "DELIVERY"
  ],
  "deliveryTimeLabel": "10-25 min",
  "deliveryTimeMin": 10,
  "deliveryTimeMax": 25,
  "pickupTimeMin": 5,
  "distanceMeters": 138,
  "status": "OPEN",
  "openUntil": "2026-08-10T23:30:00-03:00",
  "isNew": false,
  "isExclusive": false,
  "isFeatured": false,
  "hasDiscount": true,
  "discountCount": 2,
  "topDiscountAmount": 100,
  "topDiscountType": "PERCENTAGE",
  "latitude": -34.60311729999999,
  "longitude": -58.3806533,
  "headerImageUrl": "https://pedidosya.dhmedia.io/image/pedidosya/profile-headers/283bbace-1b5c-4f62-a711-a66ca0dfeef6.jpg",
  "city": "Buenos Aires",
  "citySlug": "buenos-aires",
  "country": "AR",
  "countryName": "Argentina",
  "searchTerm": "buenos-aires",
  "listingUrl": "https://www.pedidosya.com.ar/restaurantes/buenos-aires/kfc-obelisco-c41a0578-9e4f-4604-bbe7-56f2b03ea301-menu",
  "source": "pedidosya",
  "observedAt": "2026-08-10T14:34:53.187Z"
}

Run via API and CLI

Start a run and wait for it to finish, then read the dataset. Replace <TOKEN> with your Apify API token.

Run synchronously and get dataset items in one call:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~pedidosya-scraper/run-sync-get-dataset-items?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"searchTerms":["buenos-aires"],"country":"AR","maxRestaurants":25}'

Start a run asynchronously:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~pedidosya-scraper/runs?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"searchTerms":["montevideo"],"country":"UY","maxRestaurants":100}'

Apify CLI:

apify call scrapers_lat/pedidosya-scraper \
  --input '{"searchTerms":["santiago"],"country":"CL"}'

Fetch results

Every run writes to a dataset. Fetch items as JSON, CSV, or Excel by changing format:

# JSON
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=json"

# CSV
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=csv"

# Paginate large datasets
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&offset=1000&limit=1000"

<DATASET_ID> is returned as defaultDatasetId in the run object. Use offset and limit to page through large result sets. clean=true drops empty and internal fields.

Billing and limits

• Pay per result. You are charged per restaurant returned (result event). See the pricing tab for the current per-result price.
• No charge on failure. If a run errors, the actor does not charge for failed work. Empty runs cost nothing.
• Spend cap respected. Set maxTotalChargeUsd on the run; once reached, the actor stops emitting and charging further billable results.
• Free Apify plans are capped at 10 restaurants per run. Upgrade for higher maxRestaurants.

FAQ and troubleshooting

A run returned 0 records. Why? The city slug or search term matched nothing, or the country did not match the slug. Confirm the slug from a real PedidosYa URL and check the country code. Zero-result runs are not charged.

Which countries are supported? Argentina, Uruguay, Chile, Peru, Venezuela, Panama, Ecuador, Paraguay, Costa Rica, Bolivia, Dominican Republic, El Salvador, Nicaragua, Guatemala and Honduras.

Can I scan several cities at once? Yes. Add one entry per city slug or listing URL to searchTerms. maxRestaurants caps the total across the whole run.

How do I target a specific area precisely? Paste a full PedidosYa listing URL into searchTerms. The URL carries its own country and area, so country is ignored for it.

Why is pickupTimeMin or topDiscountAmount null? The store did not offer pickup or had no active discount at scrape time. Missing source values are returned as null, never invented.

Is this an official PedidosYa tool? No. This actor is independent and has no affiliation with PedidosYa or Delivery Hero. It reads only data that is publicly available on PedidosYa listings.

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More scrapers at scrapers.lat

Built and maintained by scrapers.lat, where we publish scrapers for US and Latin American public platforms: company registries, government data, finance, e-commerce and more. Browse the catalog or request a custom scraper at scrapers.lat.

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Independent tool, not affiliated with PedidosYa or Delivery Hero. Accesses only publicly available listing data.