MQl5 Comments Scraper

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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

Example Usage

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"]
}
}

Output 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/

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