# MQl5 Comments Scraper (`getdataforme/mql5-comments-scraper`) Actor

The MQl5 Comments Scraper extracts comments from MQL5 product pages, aiding market research and competitive analysis. It features efficient data extraction, customizable crawling, proxy support, and scalable, reliable performance. Outputs are in JSON format for easy analysis.

- **URL**: https://apify.com/getdataforme/mql5-comments-scraper.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **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/actors/running/actors-in-store.md#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

## MQl5 Comments Scraper

The MQl5 Comments Scraper is a powerful tool designed to extract comments from product pages on the MQL5 marketplace. This actor enables users to gather valuable insights from user feedback, facilitating market research, competitive analysis, and more.

### Features

- **Efficient Data Extraction**: Quickly scrape comments from MQL5 product pages.
- **Customizable Crawling**: Define start URLs and limit the number of requests.
- **Proxy Support**: Use Apify's residential proxies to ensure anonymity and avoid IP bans.
- **Structured Output**: Receive data in a clean JSON format for easy analysis.
- **Scalable**: Handle large volumes of data with ease.
- **Reliable Performance**: Built on Apify's robust infrastructure for consistent results.

### Input Parameters

| Parameter           | Type    | Required | Description                                                                 | Example                                                                 |
|---------------------|---------|----------|-----------------------------------------------------------------------------|-------------------------------------------------------------------------|
| `startUrls`         | Array   | Yes      | URLs to start with.                                                         | `[{"url": "https://www.mql5.com/en/market/product/118805/comments/page3?source=Site+Market+MT5+Search"}]` |
| `maxItems`          | Integer | No       | Maximum number of requests that can be made by this crawler.                | `100`                                                                   |
| `proxyConfiguration`| Object  | No       | Specifies proxy servers that will be used by the scraper to hide its origin.| `{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}`          |

### Example Usage

#### Input JSON

```json
{
  "startUrls": [
    {
      "url": "https://www.mql5.com/en/market/product/118805/comments/page3?source=Site+Market+MT5+Search"
    }
  ],
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}
```

#### Output JSON

```json
[
  {
    "comment_id": "53840792",
    "product_id": "118805",
    "comment_number": 1,
    "author": "Bogdan Ion Puscasu",
    "author_url": "https://www.mql5.com/en/users/weredeu",
    "author_avatar": "https://c.mql5.com/avatar/2023/12/657f7390-15bf.jpg",
    "author_points": 61874,
    "date": "2024-07-01T11:21Z",
    "text": "Hello, I'm Quantum Queen, the ultimate Expert Advisor...",
    "attachments": null,
    "images": null,
    "page": 1,
    "scraped_at": "2026-04-24T09:03:47.945Z"
  }
]
```

### Use Cases

- **Market Research and Analysis**: Gather user feedback to understand market trends.
- **Competitive Intelligence**: Monitor competitor products and user sentiments.
- **Price Monitoring**: Track product comments for pricing insights.
- **Content Aggregation**: Collect user-generated content for analysis.
- **Academic Research**: Analyze user feedback for research purposes.
- **Business Automation**: Automate data collection for business intelligence.

### Installation and Usage

1. Search for "MQl5 Comments Scraper" 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 output is a JSON array where each object represents a comment with fields such as `comment_id`, `product_id`, `author`, `date`, `text`, and more. This structured format allows for easy integration and analysis.

### 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.

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

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

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.mql5.com/en/market/product/118805/comments/page3?source=Site+Market+MT5+Search"
    }
  ],
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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://www.mql5.com/en/market/product/118805/comments/page3?source=Site+Market+MT5+Search"
        }
    ],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/mql5-comments-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://www.mql5.com/en/market/product/118805/comments/page3?source=Site+Market+MT5+Search" }],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/mql5-comments-scraper").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 '{
  "startUrls": [
    {
      "url": "https://www.mql5.com/en/market/product/118805/comments/page3?source=Site+Market+MT5+Search"
    }
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call getdataforme/mql5-comments-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/mql5-comments-scraper"
        }
    }
}

```

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/5b4ukezDPooFeU1cF/builds/KzON4oywTgryE1Sgo/openapi.json