# PedidosYa Restaurants, Delivery Fees & Ratings Scraper (`scrapers_lat/pedidosya-scraper`) Actor
Scrape PedidosYa restaurants and stores across Argentina, Uruguay, Chile, Bolivia, Peru and Central America: name, cuisine, rating and review count, delivery fee, delivery time, promotions, price level, open status and geo location. Filter by city or search term. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/pedidosya-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** E-commerce, Travel
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $12.75 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## PedidosYa Restaurants, Delivery Fees & Ratings Scraper
> Extract PedidosYa restaurants and stores across Argentina, Uruguay, Chile, Bolivia, Peru, Ecuador, Paraguay and Central America: name, cuisine, customer rating and review count, delivery fee, delivery time, active promotions, price level, open status and geo location. Filter by city or search term and export clean, structured competitor data.
**📥 [Input](https://apify.com/scrapers_lat/pedidosya-scraper/input-schema) · 📤 [Output](https://apify.com/scrapers_lat/pedidosya-scraper/output-schema) · 💰 [Pricing](https://apify.com/scrapers_lat/pedidosya-scraper/pricing) · ▶️ [Examples](https://apify.com/scrapers_lat/pedidosya-scraper/examples)**
Ratings & reviews score and count
Delivery fee & time plus promotions and price level
JSON / CSV / Excel output formats
### What you get
Every record is one restaurant or store, flattened for clean CSV and Excel columns:
- **Identity**: restaurant name, PedidosYa id, business type (restaurant, market, pharmacy), cuisine and full category list, public listing URL.
- **Reputation**: average rating score and number of reviews.
- **Delivery economics**: delivery fee and fee after discount, delivery type, delivery modes (delivery / pickup), estimated delivery and pickup time, price level.
- **Promotions**: whether a promotion is active, number of promotions and the top promotion amount and type.
- **Availability & location**: open status, open-until time, latitude and longitude, city, country and currency.
### Who is it for
| Use case | Who benefits |
|---|---|
| Competitor intelligence | Restaurant chains and brands tracking rivals' ratings, delivery fees and promotions |
| Market research | Analysts mapping the delivery landscape city by city across Latin America |
| Pricing & promotions | Teams benchmarking delivery fees and discount activity |
| Lead lists | Agencies building lists of restaurants and stores by city and cuisine |
### How to use it
1. Add one or more **cities, search terms or listing URLs** (for example `buenos-aires`, `montevideo`, `santiago`, or a full PedidosYa listing URL).
2. Pick the **country** (used when your terms are plain city slugs).
3. Set **Max Restaurants** and run. Export as JSON, CSV or Excel, or pull the results through the Apify API.
### Frequently Asked Questions
**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 in one run?**
Yes. Add multiple cities or search terms to the list and the run scans and paginates each one, tagging every record with the term that produced it.
**How are delivery fees reported?**
Delivery fee and the fee after any active discount are returned in the country's local currency, along with the ISO currency code.
**How fresh is the data?**
Ratings, delivery fees, promotions and open status are read live at run time, so each record reflects the moment of the run (see observedAt).
**Do I get charged for empty runs?**
No. You are only charged for real restaurant records that are returned. A run that finds nothing costs nothing.
### Export, API and AI agents (x402 + MCP)
Export the scraped data to **JSON, CSV or Excel**, pull it as a **dataset** through the Apify **API**, or wire it into your app with **no code**. This web scraper and data extractor also works for bulk data extraction and scheduled runs.
For AI agents: this Actor is available on **x402**, Apify's agentic payment standard built with Coinbase. An AI agent can discover, pay for and run it on its own with a funded wallet and a single HTTP request: no account, no subscription, no API key and no human in the loop. It also runs as an **MCP** tool inside Claude, Cursor and other AI clients out of the box. Learn more about [x402 agentic payments on Apify](https://docs.apify.com/platform/integrations/x402).
### Related scrapers
- [Rappi Colombia Restaurants & Menu Prices Scraper](https://apify.com/scrapers_lat/rappi-scraper)
- [Google Maps Business Leads & Contacts Scraper](https://apify.com/scrapers_lat/google-maps-scraper)
- [MercadoLibre Product & Price Scraper](https://apify.com/scrapers_lat/mercadolibre-scraper)
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for public platforms: finance, news, real estate, jobs, e-commerce and government data. Browse the full catalog or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
***
> This actor is an independent tool and has no affiliation with PedidosYa. It only accesses publicly available data. Use the results in accordance with the source's terms.
# Actor input Schema
## `searchTerms` (type: `array`):
City slugs (e.g. "buenos-aires", "montevideo", "santiago"), search terms, or full PedidosYa listing URLs (e.g. https://www.pedidosya.com.ar/restaurantes/buenos-aires). One run scans every term you add and paginates each. If empty, the main city of the selected country is used.
## `country` (type: `string`):
PedidosYa country to scan when your search terms are plain city slugs (ignored for full listing URLs, which carry their own country).
## `maxRestaurants` (type: `integer`):
Maximum number of restaurants/stores to return across the whole run.
## Actor input object example
```json
{
"searchTerms": [
"buenos-aires"
],
"country": "AR",
"maxRestaurants": 10
}
```
# Actor output Schema
## `results` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"searchTerms": [
"buenos-aires"
],
"maxRestaurants": 10
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/pedidosya-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"searchTerms": ["buenos-aires"],
"maxRestaurants": 10,
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/pedidosya-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"searchTerms": [
"buenos-aires"
],
"maxRestaurants": 10
}' |
apify call scrapers_lat/pedidosya-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"type": "http",
"url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapers_lat/pedidosya-scraper"
}
}
}
```
The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).
## OpenAPI specification
Download the OpenAPI definition: https://api.apify.com/v2/actors/onvkcH68OZxMiZoqN/builds/p1XNogSQGHI9PswPB/openapi.json