# MercadoLibre Reviews Scraper 🛍️ (`easyapi/mercadolibre-reviews-scraper`) Actor

🛍️ Extract detailed product reviews from MercadoLibre with comprehensive data including ratings, comments, review dates, and user interactions. Perfect for market research, sentiment analysis, and customer feedback monitoring across Latin America's largest e-commerce platform.

- **URL**: https://apify.com/easyapi/mercadolibre-reviews-scraper.md
- **Developed by:** [EasyApi](https://apify.com/easyapi) (community)
- **Categories:** E-commerce, Integrations, Other
- **Stats:** 69 total users, 4 monthly users, 100.0% runs succeeded, 3 bookmarks
- **User rating**: 2.00 out of 5 stars

## Pricing

from $2.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 🛍️

Extract comprehensive review data from MercadoLibre product pages with this powerful scraper. Get detailed insights into customer feedback, ratings, and engagement metrics to enhance your market research and product analysis.

### Features ✨

- Extract detailed review content including ratings, titles, and full comments
- Collect review metadata such as posting dates and user interactions
- Support for multiple product URLs in a single run
- Automatic pagination handling and infinite scroll support
- Built-in stealth and anti-detection mechanisms
- Structured JSON output for easy data analysis

### Use Cases 🎯

- Market Research & Analysis
- Customer Sentiment Analysis
- Product Performance Monitoring
- Competitive Intelligence
- Customer Feedback Collection
- E-commerce Analytics

### Output Data Structure 📊

The actor provides comprehensive review data including:

- Review ID and type
- Rating score (1-5 stars)
- Review title and full comment
- Publication date
- Helpful votes count
- User interaction metrics
- Review reporting options

#### Input Example

A full explanation of an input example in JSON.

```json
{
    "productUrls": [
        "https://www.mercadolibre.com.ar/drinkpops-coffee-vaso-blanco-510-ml/p/MLA26800601#polycard_client=search-nordic&searchVariation=MLA26800601&wid=MLA1427988225&position=24&search_layout=stack&type=product&tracking_id=76c139d1-d081-4378-bba9-4145f2f056ae&sid=search"
    ],
    "maxItems": 30
}
```

#### Output sample

The results will be wrapped into a dataset which you can always find in the **Storage** tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

```json
[
    {
        "id": 1218026027,
        "type": "REVIEW",
        "variant": "",
        "rating": 4,
        "title": {
            "text": "muy bueno",
            "class_name": "ui-review-view__comments__review-comment__title"
        },
        "comment": {
            "content": {
                "text": "Muy bueno relación precio calidad.\nNo es igual a los de marcas más caras pero esta muy bien terminado. Único error q puedo marcar pero a no es un impedimento es q la tapa en los modelos q marcan temperatura se abre hasta la mitad lo q puede molestar en tu nariz, los q no tienen ese medidor si se abren completos.",
                "class_name": "ui-review-view__comments__review-comment",
                "see_more": "Leer más",
                "see_less": "Leer menos"
            },
            "time": {
                "text": "28 may. 2024",
                "class_name": "ui-review-view__comments__review-comment__date"
            },
            "date": "28 may. 2024",
            "country": "",
            "menu_options": {
                "track": {
                    "event_data": {
                        "catalog_product_id": "MLA26590797",
                        "review_id": 1218026027
                    },
                    "path": "/reviews/points/clic"
                },
                "items": [
                    {
                        "text": "Denunciar",
                        "url": "/noindex/denounce/?item_id=MLA1778961812&element_id=1218026027&element_type=REV",
                        "track": {
                            "event_data": {
                                "catalog_product_id": "MLA26590797",
                                "review_id": 1218026027,
                                "type": "denounce"
                            },
                            "path": "/reviews/actions"
                        },
                        "icon_id": "REPORT",
                        "class_name": "ui-review-view__comments__review-comment"
                    }
                ]
            },
            "denounce": {
                "text": "Denunciar",
                "url": "/noindex/denounce/?item_id=MLA1778961812&element_id=1218026027&element_type=REV",
                "track": {
                    "event_data": {
                        "catalog_product_id": "MLA26590797",
                        "review_id": 1218026027,
                        "type": "denounce"
                    },
                    "path": "/reviews/actions"
                },
                "icon_id": "REPORT",
                "class_name": "ui-review-view__comments__review-comment"
            }
        },
        "actions": [
            {
                "id": "LIKE",
                "type": "LIKE",
                "text": "Es útil",
                "value": 2,
                "track": {
                    "event_data": {
                        "catalog_product_id": "MLA26590797",
                        "review_id": 1218026027,
                        "type": "like"
                    },
                    "path": "/reviews/actions"
                },
                "icon": {
                    "empty_icon": "ThumbUpOutlined",
                    "full_icon": "ThumbUpFillled"
                },
                "selected": false
            }
        ],
        "aria_label": "Calificación 4 de 5",
        "accessibility_text": "Opinión 1. Calificación 4 de 5."
    },
    ...
]
```

### Related Actors 🤝

Here are some other useful actors for e-commerce and review analysis:

- 🛍️ [Amazon Reviews Scraper](https://apify.com/easyapi/amazon-reviews-scraper) - Extract detailed product reviews from Amazon with comprehensive data
- 🌟 [Etsy Reviews Scraper](https://apify.com/easyapi/etsy-reviews-scraper) - Scrape Etsy product reviews effortlessly
- 📱 [AppStore Reviews Scraper](https://apify.com/easyapi/app-store-reviews-scraper) - App Store Reviews Scraper for collecting user feedback
- 🛒 [Flipkart Review Scraper](https://apify.com/easyapi/flipkart-review-scraper) - Scrape detailed product reviews from Flipkart
- 🏨 [Hotels.com Review Scraper](https://apify.com/easyapi/hotels-com-review-scraper) - Extract detailed hotel reviews from Hotels.com
- 🛍️ [Myntra Reviews Scraper](https://apify.com/easyapi/myntra-reviews-scraper) - Scrape product reviews from Myntra.com
- 🍽️ [Grubhub Restaurant Reviews Scraper](https://apify.com/easyapi/grubhub-restaurant-reviews-scraper) - Extract restaurant reviews from Grubhub
- 🏨 [Hostelworld Reviews Scraper](https://apify.com/easyapi/hostelworld-reviews-scraper) - Extract detailed hostel reviews from Hostelworld.com
- 📚 [Goodreads Review Scraper](https://apify.com/easyapi/goodreads-review-scraper) - Extract detailed book reviews from Goodreads
- 🎓 [Udemy Course Reviews Scraper](https://apify.com/easyapi/udemy-course-reviews-scraper) - Scrape Udemy course reviews effortlessly
- 🛍️ [Lidl Reviews Scraper](https://apify.com/easyapi/lidl-reviews-scraper) - Extract product reviews from Lidl's online store
- 🎬 [IMDB Reviews Scraper](https://apify.com/easyapi/imdb-reviews-scraper) - Extract detailed user reviews from IMDB
- 🍽️ [Zomato Restaurant Reviews Scraper](https://apify.com/easyapi/zomato-restaurant-reviews-scraper) - Scrape restaurant reviews from Zomato
- 💅 [Treatwell Reviews Scraper](https://apify.com/easyapi/treatwell-reviews-scraper) - Extract salon & spa reviews from Treatwell
- 🏠 [TripAdvisor Reviews Scraper](https://apify.com/easyapi/tripadvisor-reviews-scraper) - Extract detailed TripAdvisor hotel reviews

# Actor input Schema

## `productUrls` (type: `array`):

List of MercadoLibre product URLs to scrape reviews from

## `maxItems` (type: `integer`):

Maximum number of reviews to scrape (0 for unlimited)

## Actor input object example

```json
{
  "productUrls": [
    "https://www.mercadolibre.com.ar/drinkpops-coffee-vaso-blanco-510-ml/p/MLA26800601"
  ],
  "maxItems": 30
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("easyapi/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 = {}

# Run the Actor and wait for it to finish
run = client.actor("easyapi/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 '{}' |
apify call easyapi/mercadolibre-reviews-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/rG2TlrwzJUN0Qp3zi/builds/7f5SrQ35b70ahJBO4/openapi.json