Where are the extracted MQL5 articles saved?

The skill typically executes within the $HOME/eon/mql5 directory, though the path can be adjusted to fit your specific environment requirements.

Can I use this skill to scrape news sites like Reuters or Bloomberg?

No, this skill is strictly limited to the mql5.com domain to provide focused and high-quality technical trading content.

How do I extract all articles from a specific MQL5 developer?

You can provide the numeric User ID or username found in their MQL5 profile URL, and the skill will automatically discover and extract their published articles.

What input formats does the article extractor support?

It supports direct article URLs, numeric or text-based User IDs, and text files containing a list of multiple URLs for batch processing.

MQL5 Article Extractor

Name: MQL5 Article Extractor
Author: terrylica

byterrylica

•

Web Scraping & Data Collection

Extracts and organizes technical trading articles and documentation from mql5.com for research and training data collection.

About

The MQL5 Article Extractor is a specialized utility designed to automate the retrieval of technical content from the MQL5 community platform. It allows developers and algorithmic traders to efficiently gather MetaTrader API documentation, Python integration guides, and community-contributed articles. By supporting single URL extraction, user-based auto-discovery, and batch processing from text files, this skill streamlines the process of building local knowledge bases or curating specialized datasets for training AI models on algorithmic trading concepts.

Key Features

Auto-discovers and downloads all articles from specific MQL5 User IDs
Organizes technical content for documentation and training data workflows
Supports batch processing via text files with multiple URLs
Extracts single articles directly via mql5.com URLs
2 GitHub stars
Domain-locked to mql5.com to ensure high-quality, relevant data extraction

Use Cases

Collecting specialized technical data for training MQL4/MQL5-focused RAG systems
Archiving MetaTrader API and Python integration documentation for offline research
Researching specific trading strategies and code patterns published by community experts

About

Key Features

Auto-discovers and downloads all articles from specific MQL5 User IDs
Organizes technical content for documentation and training data workflows
Supports batch processing via text files with multiple URLs
Extracts single articles directly via mql5.com URLs
2 GitHub stars
Domain-locked to mql5.com to ensure high-quality, relevant data extraction

Use Cases

Collecting specialized technical data for training MQL4/MQL5-focused RAG systems
Archiving MetaTrader API and Python integration documentation for offline research
Researching specific trading strategies and code patterns published by community experts