# Mercadolivre Reviews Spider (`getdataforme/mercadolivre-reviews-spider`) Actor

Scrape detailed customer reviews from MercadoLivre, Latin America's leading e-commerce platform, to gain valuable insights into product performance, sentiment, and trends. Features robust extraction, proxy support, scalability, and structured JSON output for easy analysis and business decisions.

- **URL**: https://apify.com/getdataforme/mercadolivre-reviews-spider.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** E-commerce, AI, Lead generation
- **Stats:** 25 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.00 / 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.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Mercadolivre Reviews Spider

### Introduction

The Mercadolivre Reviews Spider is a powerful Apify Actor designed to scrape and extract customer reviews from MercadoLivre product pages efficiently and reliably. It enables users to gather valuable insights into product performance, customer sentiment, and market trends directly from one of Latin America's largest e-commerce platforms. By automating the collection of review data, this Actor saves time and provides structured data for analysis, research, and business decision-making.

### Features

- **Comprehensive Review Extraction**: Captures detailed review information including ratings, comments, reviewer details, and timestamps from MercadoLivre product pages.
- **High Reliability**: Utilizes robust scraping techniques with built-in error handling to ensure consistent data retrieval even from dynamic web pages.
- **Proxy Support**: Integrates with Apify's proxy services, including residential proxies, to bypass geo-restrictions and avoid IP blocks.
- **Scalable and Fast**: Processes multiple URLs concurrently, delivering results quickly for large-scale data collection.
- **Structured Output**: Provides clean, JSON-formatted data that's easy to integrate into databases, analytics tools, or downstream applications.
- **Customizable Inputs**: Allows users to specify target URLs and proxy configurations for tailored scraping needs.
- **Apify Integration**: Seamlessly runs on the Apify platform with monitoring, scheduling, and export options.

### Input Parameters

| Parameter | Type | Required | Description | Example |
|-----------|------|----------|-------------|---------|
| Urls | array | No | A list of MercadoLivre product page URLs to scrape reviews from. Each URL should point to a specific product page. | `["https://www.mercadolivre.com.br/huggies-fralda-descartavel-maxima-proteco-g-66-un/p/MLB20133824"]` |
| proxyConfiguration | object | No | Configures proxy settings to mask the scraper's IP address and ensure reliable access. Defaults to using Apify's residential proxies. | `{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}` |

### Example Usage

#### Input JSON

```json
{
  "Urls": [
    "https://www.mercadolivre.com.br/huggies-fralda-descartavel-maxima-proteco-g-66-un/p/MLB20133824"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}
```

#### Output JSON

```json
[
  {
    "productUrl": "https://www.mercadolivre.com.br/huggies-fralda-descartavel-maxima-proteco-g-66-un/p/MLB20133824",
    "reviewId": "123456789",
    "rating": 5,
    "title": "Excelente produto",
    "comment": "Muito bom, recomendo!",
    "reviewerName": "João Silva",
    "reviewDate": "2023-10-01",
    "verifiedPurchase": true
  }
]
```

### Use Cases

- **Market Research**: Analyze customer feedback to identify popular products and emerging trends in the Latin American e-commerce market.
- **Competitive Intelligence**: Compare review data across similar products to benchmark performance and pricing strategies.
- **Price Monitoring**: Track sentiment alongside pricing to optimize dynamic pricing models.
- **Content Aggregation**: Collect reviews for content creation, such as blog posts or social media campaigns.
- **Academic Research**: Gather data for studies on consumer behavior and e-commerce dynamics.
- **Business Automation**: Automate review monitoring for quality control and customer service improvements.

### Installation and Usage

1. Search for "Mercadolivre Reviews Spider" in the Apify Store
2. Click "Try for free" or "Run"
3. Configure input parameters
4. Click "Start" to begin extraction
5. Monitor progress in the log
6. Export results in your preferred format (JSON, CSV, Excel)

### Output Format

The Actor outputs a JSON array of review objects. Each object includes fields such as `productUrl` (the source URL), `reviewId` (unique identifier), `rating` (numerical score), `title` (review headline), `comment` (full text), `reviewerName`, `reviewDate`, and `verifiedPurchase` (boolean indicating if the purchase was verified). This structured format facilitates easy parsing and integration into analytics tools or databases.

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!

***

# Actor input Schema

## `Urls` (type: `array`):

The urls for the spider.

## `proxyConfiguration` (type: `object`):

Specifies proxy servers that will be used by the scraper in order to hide its origin.

## Actor input object example

```json
{
  "Urls": [
    "https://www.mercadolivre.com.br/huggies-fralda-descartavel-maxima-proteco-g-66-un/p/MLB20133824"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/mercadolivre-reviews-spider").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 = { "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    } }

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/mercadolivre-reviews-spider").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 '{
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call getdataforme/mercadolivre-reviews-spider --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/mercadolivre-reviews-spider"
        }
    }
}
```

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 <APIFY_API_TOKEN>` 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/gnADdtoBzEzlWlsyr/builds/8VHD2dHXyK6WVR7eO/openapi.json