# Mercadolibre Reviews Scraper (`saswave/mercadolibre-reviews-scraper`) Actor

$0.6 / 1000 results, no proxies needed. A fast and reliable scraper that extracts customer reviews from any MercadoLibre website domain name. Get title, content, rating, date, information about reviews

- **URL**: https://apify.com/saswave/mercadolibre-reviews-scraper.md
- **Developed by:** [SASWAVE](https://apify.com/saswave) (community)
- **Categories:** E-commerce, Lead generation, Social media
- **Stats:** 98 total users, 23 monthly users, 45.6% runs succeeded, 1 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $0.60 / 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

## 🛒 Mercadolibre Reviews Scraper

A fast and reliable scraper that extracts customer reviews from any MercadoLibre website domain name.

It automatically adapts to regional differences, languages, and page structures across all MercadoLibre marketplaces.

### 🌎 Full Support for All MercadoLibre Subdomains

This scraper works with every MercadoLibre country domain, automatically detecting structure and formatting differences between regions.

##### ✅ Supported MercadoLibre Marketplaces

The scraper fully supports product pages and search results from all official country sites:

- Argentina: 	mercadolibre.com.ar

- Brazil: 	mercadolivre.com.br

- Mexico: 	mercadolibre.com.mx

- Colombia: 	mercadolibre.com.co

- Chile: 	mercadolibre.cl

- Uruguay: 	mercadolibre.com.uy

- Peru: 	mercadolibre.com.pe

- Venezuela: 	mercadolibre.com.ve

- Ecuador: 	mercadolibre.com.ec

- Dominican:  Republic	mercadolibre.com.do

- Costa Rica:	mercadolibre.co.cr

- Panama: 	mercadolibre.com.pa

- Bolivia: 	mercadolibre.com.bo

- Paraguay: 	mercadolibre.com.py

- Guatemala: 	mercadolibre.com.gt

- Honduras: 	mercadolibre.com.hn

- Nicaragua: 	mercadolibre.com.ni

- El Salvador:	mercadolibre.com.sv

### ✨ Features

##### ⭐ Comprehensive Review Extraction

The scraper collects all available review data, including:

- Review ID

- Rating (1–5)

- Review title

- Review text/content

- Review date

- Variant / SKU information

- Image attachments

- Number of likes

- Product identifier (SKU / item ID)

##### ⚙️ Smart Region Detection

No configuration needed — the scraper automatically adapts to:

- language

- date formats

- rating formats

- HTML structure

- product pages vs. search pages

##### 🚀 High-Performance Scraping

Fast and lightweight

Robust against layout changes

Built for scale

### Output

Review

```json
{
  "id": 2560546106,
  "type": "REVIEW",
  "variant": "",
  "rating": 4,
  "sku": "MLA21794371",
  "images": [],
  "likes": 0,
  "title": "muy bueno",
  "content": "Lo compro todos los años pero está vez se nota que ha perdido calidad, sobre todo en la cantidad de sus frutos secos. Igual sigue siendo un buen producto.",
  "date": "2025-11-28"
}
```

### 🚀 Use Cases

Market research & competitor analysis

Tracking customer sentiment over time

Importing product reviews into BI dashboards

Monitoring brand or product reputation

Feeding reviews into AI/ML models for sentiment analysis

E-commerce review aggregation

Detecting product quality issues early

### 💡 Notes

Works on any public product page containing reviews

Pagination is fully supported

Handles both new and legacy MercadoLibre page layouts

Blocked or deleted reviews are skipped automatically

Rate limits depend on your runtime setup

### 🛟 SUPPORT

Share your runs with the developer team and create issues on error to help us improve actor quality.

You might discover edge case we didn't test yet

We stay available anytime

# Actor input Schema

## `domain` (type: `string`):

Provide website domain name from your product list

## `skus` (type: `array`):

Extract reviews from product id, ex: https://www.mercadolibre.com.ar/pan-dulce-steinhauser-premium-850g/p/MLA21794372 the sku is MLA21794372

## `max_reviews_per_product` (type: `integer`):

0 or empty = no limit

## `order` (type: `string`):

Select your order filter

## `rating` (type: `string`):

Select your rating filter

## Actor input object example

```json
{
  "domain": "www.mercadolibre.com.ar",
  "skus": [
    "MLA21794371"
  ],
  "max_reviews_per_product": 15,
  "order": "dateCreated",
  "rating": ""
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "domain": "www.mercadolibre.com.ar",
    "skus": [
        "MLA21794371"
    ],
    "max_reviews_per_product": 15
};

// Run the Actor and wait for it to finish
const run = await client.actor("saswave/mercadolibre-reviews-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "domain": "www.mercadolibre.com.ar",
    "skus": ["MLA21794371"],
    "max_reviews_per_product": 15,
}

# Run the Actor and wait for it to finish
run = client.actor("saswave/mercadolibre-reviews-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 '{
  "domain": "www.mercadolibre.com.ar",
  "skus": [
    "MLA21794371"
  ],
  "max_reviews_per_product": 15
}' |
apify call saswave/mercadolibre-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=saswave/mercadolibre-reviews-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/aPW6yPDWxuDKmAHAY/builds/tsa3jietKhCgnPVXF/openapi.json