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MQl5 Reviews Scraper

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from $9.00 / 1,000 results

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MQl5 Reviews Scraper

MQl5 Reviews Scraper

The MQl5 Reviews Scraper efficiently extracts user reviews from the MQl5 marketplace, providing valuable insights for market analysis and competitive intelligence....

Pricing

from $9.00 / 1,000 results

Rating

0.0

(0)

Developer

GetDataForMe

GetDataForMe

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

12 hours ago

Last modified

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Introduction

The MQl5 Reviews Scraper is a powerful tool designed to extract user reviews from the MQl5 marketplace efficiently. This Actor allows you to gather valuable insights from customer feedback, enabling you to perform market analysis, track product performance, and enhance your competitive intelligence.

Features

  • Efficient Data Extraction: Quickly scrape reviews from multiple MQl5 product pages.
  • High Data Quality: Ensures accurate and reliable data collection.
  • Customizable Crawling: Set limits on the number of requests to manage data volume.
  • Proxy Support: Utilizes Apify's residential proxies for anonymous and secure scraping.
  • Comprehensive Output: Captures detailed review information, including ratings and author details.
  • Scalable: Handles large volumes of data efficiently.

Input Parameters

ParameterTypeRequiredDescriptionExample
startUrlsArrayYesURLs to start with.["https://www.mql5.com/en/market/product/118805/comments/page3"]
maxItemsIntegerNoMaximum number of requests that can be made by this crawler.100
proxyConfigurationObjectNoSpecifies proxy servers used by the scraper to hide its origin.{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}

Example Usage

Example Input 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"]
}
}

Example Output JSON

[
{
"review_id": "43509935",
"product_id": "118805",
"author": "Bartel Wilhelm Pieterse",
"author_url": "",
"author_avatar": "https://c.mql5.com/avatar/2025/12/694e5497-8ddf.jpg",
"author_points": 118,
"date": "2026.04.24 07:31",
"rating": 5,
"rating_description": 5,
"rating_reliability": 5,
"rating_support": 5,
"text": "All USA users oF QQ EA, please tell me which BROKER you guys use. As I must change from broker. as I am in the USA. Thanks for the help,,,,,,???",
"has_developer_reply": false,
"developer_reply_author": "",
"developer_reply_author_url": "",
"developer_reply_date": "",
"developer_reply_text": null,
"page": 1,
"scraped_at": "2026-04-24T08:49:04.605Z"
}
]

Use Cases

  • Market Research and Analysis: Gain insights into customer opinions and trends.
  • Competitive Intelligence: Monitor competitor products and customer feedback.
  • Price Monitoring: Track changes in product pricing and customer sentiment.
  • Content Aggregation: Collect reviews for content creation and analysis.
  • Academic Research: Use data for studies on consumer behavior and market dynamics.
  • Business Automation: Automate the collection of customer feedback for strategic planning.

Installation and Usage

  1. Search for "MQl5 Reviews 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 contains detailed information about a review, including review_id, product_id, author, date, rating, text, and more. This structured format ensures easy integration with other data processing tools.

Support

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

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