Glossary

D

Data Extraction

Data extraction is the process of retrieving data from various sources for further processing or storage. In web context, it involves: - Identifying relevant data points - Parsing structured and unstructured content - Converting data into desired formats - Cleaning and validating extracted information

Data Parsing

Data parsing is the process of converting raw data into a structured format that can be easily analyzed and processed. In web data extraction context, it includes: - Converting HTML/XML structures into organized data - Identifying and extracting specific data patterns - Handling different data types (text, numbers, dates) - Managing nested data structures - Cleaning and normalizing extracted data

Data Transformation

Data transformation is the process of converting extracted data from one format to another, making it suitable for specific use cases. This includes: - Format conversion (JSON, CSV, Excel) - Data structure reorganization - Field mapping and normalization - Data cleaning and validation - Custom template application

Data Validation Tools

Data validation tools ensure the quality and accuracy of extracted data. Essential functions include: - Data format verification - Field type checking - Required field validation - Custom validation rules - Error reporting - Data cleaning automation

Dynamic Content Extraction

Dynamic content extraction refers to the ability to capture data from websites that load content dynamically through JavaScript or AJAX. Key aspects include: - JavaScript rendered content handling - Single Page Application (SPA) support - Real-time data capture - Infinite scroll handling - Dynamic state management