# Disco Argentina Grocery Price Scraper (`scrapers_lat/disco-ar-scraper`) Actor
Scrape Disco Argentina product prices, list prices, stock, EAN and sellers by keyword or category. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/disco-ar-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** E-commerce, Automation, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars
## Pricing
from $8.00 / 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
[](https://console.apify.com/actors/aHAPg3fXauM6EMBbQ/input)
## Disco Argentina Scraper
> Extract product prices, stock, EAN codes, and seller data from Disco, one of Argentina's largest supermarket chains, across groceries, drinks, fresh food, and home goods.
22 fields per record
Argentina coverage
JSON / CSV / Excel output formats
Updated 2026-06-22
### What you get
Each record is one purchasable product variant with its current price in Argentine pesos, ready to load into any database, spreadsheet, or price-monitoring pipeline:
- **imageUrl**: main product image
- **images**: all image URLs for the SKU (electronics often have several); imageUrl above is the first one
- **releaseDate**: catalog release date of the product, when provided
- **productReference**: manufacturer reference / model code from the catalog
- **installmentsTable**: full installment plan table per offer (number of payments, payment value, interest rate, total, payment method name)
- **priceValidUntil**: date the current price is valid until, when provided
- **promoTeasers**: names of active promotions or discounts applied to the offer
- **measurementUnit**: unit of measure for price-per-unit, when provided
- **unitMultiplier**: unit multiplier for price-per-unit, when provided
- **name**: full product name as listed
- **url**: direct link to the product page
- **productId**: unique Disco product id
- **sku**: unique SKU id for the variant
- **ean**: barcode (EAN), when published
- **referenceId**: internal reference code for the SKU
- **brand**: product brand, when published
- **categories**: full category path list from department down to subcategory
- **price**: current price in pesos for this offer
- **listPrice**: reference list price reported by the store
- **priceWithoutDiscount**: base price without promotional discount
- **sellingPrice**: full selling price for the offer
- **currency**: currency code for all prices (ARS)
- **availableQuantity**: units in stock
- **isAvailable**: whether the product is buyable right now
- **sellerName**: name of the seller fulfilling the offer
- **sellerId**: id of the seller
- **isMarketplace**: whether the offer comes from a third-party marketplace seller rather than Disco itself
- **description\***: product description text
- **specifications\***: detailed product attributes such as content, package size, product type, country of origin, ingredients, and nutrition labels
- **observedAt**: when this product was last seen by the scraper
\* These fields are only included when Include Product Details is enabled.
### Who is it for
| Use case | Who benefits |
|---|---|
| Grocery price monitoring | Retail and CPG teams tracking supermarket prices in Argentina |
| Promotion tracking | Analysts comparing list price against current price for discounts |
| Catalog enrichment | Teams matching products by EAN, SKU, and brand |
| Stock intelligence | Brands checking availability of their products on shelf |
| Data pipelines | Developers feeding BI tools, dashboards, or repricing engines |
### Frequently Asked Questions
**What can I search on Disco Argentina?**
You can search the full catalog by keyword (for example "leche", "yerba mate", or "coca cola"), or restrict results to a department like Almacén, Bebidas, Lácteos, or Carnes. You can search several keywords and departments in a single run.
**How many results can I get per run?**
You set the limit with Max Items. The Disco catalog serves results in pages of fifty and allows paging through roughly the first 2,500 products for any single search or department, so very broad queries are best narrowed with a keyword, department, or sort order.
**Does it report prices in Argentine pesos?**
Yes. Every price field is in Argentine pesos and each record carries a currency code of ARS, so you can load the data without guessing the currency.
**Can I tell Disco's own offers apart from marketplace sellers?**
Yes. Every record includes the seller name and id, plus an isMarketplace flag that is true when the offer comes from a third-party marketplace seller rather than from Disco directly.
**What happens to products with missing data?**
Fields like brand or EAN are only filled when the store publishes them, so they may be empty on some products. Every record always includes the price, availability, identifiers, category, and a direct product link.
### Example use cases
Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template:
- [Disco Argentina Beverages Price Tracking](https://apify.com/scrapers_lat/disco-ar-scraper/examples/beverages-price-tracking-argentina): Track Disco Argentina beverage prices for soda, water, beer, juice and wine. Export drink prices, package sizes and stock to JSON, CSV or Excel.
- [Disco Argentina Grocery Staples Price Monitoring](https://apify.com/scrapers_lat/disco-ar-scraper/examples/grocery-staples-price-monitoring-argentina): Monitor Disco Argentina prices for milk, oil, rice, sugar and flour. Export staple grocery prices, SKUs and stock to JSON, CSV or Excel.
- [Disco Argentina Snacks and Cleaning Products Export](https://apify.com/scrapers_lat/disco-ar-scraper/examples/snacks-and-cleaning-products-export-argentina): Export Disco Argentina snack and cleaning product prices for cookies, chips, detergent, bleach and soap. Get prices, SKUs and stock as JSON or CSV.
### Related scrapers
Need data from the same space? Here are other scrapers we build and maintain:
- [Chedraui Mexico Grocery Price Scraper](https://apify.com/scrapers_lat/chedraui-scraper): Scrape Chedraui Mexico product prices, EAN codes, stock, brands and installments by keyword or...
- [Dia Argentina Grocery Price Scraper](https://apify.com/scrapers_lat/dia-ar-scraper): Scrape Dia Argentina product prices, list prices, stock, EAN, brand and sellers by keyword or...
- [Elektra Mexico Product Price & Installment Scraper](https://apify.com/scrapers_lat/elektra-scraper): Scrape Elektra Mexico product prices, installment plans, EAN codes, stock, brands and sellers by...
- [Exito Colombia Grocery Price Scraper](https://apify.com/scrapers_lat/exito-scraper): Extract product data from Exito Colombia by keyword or category. Scrape prices, list prices, stock...
- [MercadoLibre Product Listings Scraper](https://apify.com/scrapers_lat/mercadolibre-scraper): Extract products, prices and seller data from MercadoLibre across 18 LATAM countries. Scrape...
- [Quince Product Scraper](https://apify.com/scrapers_lat/quince-scraper): Extract Quince.com products with prices, traditional retail price, discounts, variants, images and...
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with Disco, Cencosud, or any of their brands. It only accesses data that is publicly available on the platform. Use it in accordance with Disco's terms of service.
# Actor input Schema
## `maxItems` (type: `integer`):
Maximum number of product offers to collect across all search terms and categories. Each available SKU and seller is one record. Optional.
## `withDetails` (type: `boolean`):
When enabled, each record also includes the product description and specification attributes (content, package size, product type, etc.) from the Disco catalog.
## `searchTerms` (type: `array`):
Full-text queries to search the Disco Argentina catalog (e.g. "leche", "yerba mate", "coca cola"). Each term is searched separately. Maps to the VTEX ft parameter.
## `categories` (type: `array`):
Restrict results to one or more Disco departments. Use either a numeric VTEX category id or a category path. Top-level department ids: 1 Almacén, 2 Bebidas, 3 Frutas y Verduras, 4 Carnes, 5 Pescados y Mariscos, 6 Quesos y Fiambres, 7 Lácteos, 8 Congelados, 9 Panaderia y Pasteleria, 10 Rotiseria, 11 Perfumería, 13 Limpieza, 14 Mascotas, 15 Electro, 16 Hogar y textil, 457 Mundo Bebe, 465 Tiempo Libre. Paths look like "Lácteos/Leches". Maps to the VTEX fq=C: filter.
## `sortOrder` (type: `string`):
Order in which the catalog returns products. Maps to the VTEX O parameter.
## `proxyConfiguration` (type: `object`):
Proxy settings. The Disco Argentina VTEX catalog API has no anti-bot protection and works from datacenter IPs, so a proxy is optional. If you ever see geo-blocking from your region, enable Apify Residential proxy with country Argentina.
## Actor input object example
```json
{
"maxItems": 10,
"withDetails": true,
"searchTerms": [
"leche"
],
"sortOrder": "",
"proxyConfiguration": {
"useApifyProxy": false
}
}
````
# 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 = {
"maxItems": 10,
"searchTerms": [
"leche"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/disco-ar-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 = {
"maxItems": 10,
"searchTerms": ["leche"],
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/disco-ar-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"maxItems": 10,
"searchTerms": [
"leche"
]
}' |
apify call scrapers_lat/disco-ar-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/disco-ar-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Disco Argentina Grocery Price Scraper",
"description": "Scrape Disco Argentina product prices, list prices, stock, EAN and sellers by keyword or category. Export to JSON, CSV or Excel.",
"version": "0.1",
"x-build-id": "wPO9jvUZZhPyen24g"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~disco-ar-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-disco-ar-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~disco-ar-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-disco-ar-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~disco-ar-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-disco-ar-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of product offers to collect across all search terms and categories. Each available SKU and seller is one record. Optional."
},
"withDetails": {
"title": "Include Product Details",
"type": "boolean",
"description": "When enabled, each record also includes the product description and specification attributes (content, package size, product type, etc.) from the Disco catalog.",
"default": true
},
"searchTerms": {
"title": "Search Terms",
"type": "array",
"description": "Full-text queries to search the Disco Argentina catalog (e.g. \"leche\", \"yerba mate\", \"coca cola\"). Each term is searched separately. Maps to the VTEX ft parameter.",
"items": {
"type": "string"
}
},
"categories": {
"title": "Categories",
"type": "array",
"description": "Restrict results to one or more Disco departments. Use either a numeric VTEX category id or a category path. Top-level department ids: 1 Almacén, 2 Bebidas, 3 Frutas y Verduras, 4 Carnes, 5 Pescados y Mariscos, 6 Quesos y Fiambres, 7 Lácteos, 8 Congelados, 9 Panaderia y Pasteleria, 10 Rotiseria, 11 Perfumería, 13 Limpieza, 14 Mascotas, 15 Electro, 16 Hogar y textil, 457 Mundo Bebe, 465 Tiempo Libre. Paths look like \"Lácteos/Leches\". Maps to the VTEX fq=C: filter.",
"items": {
"type": "string"
}
},
"sortOrder": {
"title": "Sort Order",
"enum": [
"",
"OrderByPriceASC",
"OrderByPriceDESC",
"OrderByTopSaleDESC",
"OrderByNameASC",
"OrderByNameDESC",
"OrderByReleaseDateDESC",
"OrderByBestDiscountDESC"
],
"type": "string",
"description": "Order in which the catalog returns products. Maps to the VTEX O parameter.",
"default": ""
},
"proxyConfiguration": {
"title": "Proxy Configuration",
"type": "object",
"description": "Proxy settings. The Disco Argentina VTEX catalog API has no anti-bot protection and works from datacenter IPs, so a proxy is optional. If you ever see geo-blocking from your region, enable Apify Residential proxy with country Argentina.",
"default": {
"useApifyProxy": false
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```