# Myfave Reviews Scraper (`getdataforme/myfave-reviews-scraper`) Actor

Extract customer reviews and ratings from Myfave.com with this powerful Apify Actor. Gain valuable insights into service quality, sentiment, and market trends for businesses and researchers....

- **URL**: https://apify.com/getdataforme/myfave-reviews-scraper.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** Lead generation
- **Stats:** 2 total users, 1 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/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

## Myfave Reviews Scraper

### Introduction

The Myfave Reviews Scraper is a powerful Apify Actor designed to extract customer reviews and ratings from Myfave.com, a popular platform for booking services and deals. It automates the collection of detailed review data, enabling businesses and researchers to gain insights into customer sentiment, service quality, and market trends. By leveraging advanced web scraping techniques, this Actor ensures reliable and efficient data extraction for informed decision-making.

### Features

- **Comprehensive Review Extraction**: Captures full review text, ratings, dates, and user details from Myfave listings.
- **High Reliability**: Built on Apify's robust CheerioCrawler for consistent performance and error resilience.
- **Scalable Crawling**: Handles multiple start URLs and limits requests to avoid overloading servers.
- **Structured Output**: Delivers clean, JSON-formatted data ready for analysis or integration.
- **Customizable Limits**: Set maximum items to control crawl depth and resource usage.
- **Fast Processing**: Optimized for speed, processing reviews in batches for quick results.
- **Data Integrity**: Ensures accurate extraction with minimal duplicates or missing fields.

### Input Parameters

| Parameter | Type | Required | Description | Example |
|-----------|------|----------|-------------|---------|
| startUrls | array | Yes | An array of URLs to start the scraping process. Each URL should point to a Myfave service or deal page containing reviews. | `[{"url": "https://myfave.com/my/cool-master-taipan-4mil-security-tinting-for-1-car-116978"}]` |
| maxItems | integer | No | The maximum number of requests (pages or items) the crawler can make during the run. Helps control costs and avoid rate limits. Default is 100. | `50` |

### Example Usage

#### Input JSON

```json
{
  "startUrls": [
    {
      "url": "https://myfave.com/my/cool-master-taipan-4mil-security-tinting-for-1-car-116978"
    }
  ],
  "maxItems": 100
}
```

#### Output JSON

```json
[
  {
    "reviewId": "12345",
    "userName": "John Doe",
    "rating": 5,
    "reviewText": "Excellent service! The tinting was done perfectly and the staff was very professional.",
    "date": "2023-10-15",
    "serviceName": "Cool Master Taipan 4Mil Security Tinting for 1 Car",
    "url": "https://myfave.com/my/cool-master-taipan-4mil-security-tinting-for-1-car-116978"
  },
  {
    "reviewId": "12346",
    "userName": "Jane Smith",
    "rating": 4,
    "reviewText": "Good experience overall, but there was a slight delay in scheduling.",
    "date": "2023-09-20",
    "serviceName": "Cool Master Taipan 4Mil Security Tinting for 1 Car",
    "url": "https://myfave.com/my/cool-master-taipan-4mil-security-tinting-for-1-car-116978"
  }
]
```

### Use Cases

- **Market Research**: Analyze customer feedback to identify trends in service quality and preferences.
- **Competitive Intelligence**: Compare reviews across similar services to benchmark performance.
- **Price Monitoring**: Track ratings and comments related to pricing and value for money.
- **Content Aggregation**: Collect reviews for content creation, such as blog posts or reports.
- **Academic Research**: Study consumer behavior and sentiment in the service industry.
- **Business Automation**: Automate review monitoring for reputation management and customer service improvements.

### Installation and Usage

1. Search for "Myfave Reviews Scraper" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters (e.g., add start URLs and set maxItems).
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 an array of JSON objects, each representing a single review. Key fields include:

- `reviewId`: Unique identifier for the review.
- `userName`: Name of the reviewer.
- `rating`: Numerical rating (e.g., 1-5 stars).
- `reviewText`: Full text of the review.
- `date`: Date the review was posted.
- `serviceName`: Name of the service or deal.
- `url`: Source URL of the review.

This structured format allows for easy parsing, filtering, and integration into databases or analytics tools.

### 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

## `startUrls` (type: `array`):

URLs to start with.

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

Maximum number of requests that can be made by this crawler.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://myfave.com/my/cool-master-taipan-4mil-security-tinting-for-1-car-116978"
    }
  ],
  "maxItems": 100
}
```

# 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 = {
    "startUrls": [
        {
            "url": "https://myfave.com/my/cool-master-taipan-4mil-security-tinting-for-1-car-116978"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/myfave-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 = { "startUrls": [{ "url": "https://myfave.com/my/cool-master-taipan-4mil-security-tinting-for-1-car-116978" }] }

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/myfave-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 '{
  "startUrls": [
    {
      "url": "https://myfave.com/my/cool-master-taipan-4mil-security-tinting-for-1-car-116978"
    }
  ]
}' |
apify call getdataforme/myfave-reviews-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/C0u6glIjVmpb7m0D6/builds/HpKBo4bPNr1azdCJE/openapi.json