Data extraction is the process of extracting structured data from unstructured or semi-structured sources such as text documents, web pages, and databases. This involves identifying relevant information and converting it into a format that can be easily utilized by software systems.
Key Concepts
- Structured Data: Refers to information organized in a pre-defined format.
- Unstructured Data: Information that lacks an identifiable structure or organization.
- Semi-Structured Data: Data that has some level of organization but not the strict rules found in structured data, such as XML or JSON files.
Tools and Technologies
- Regular Expressions (Regex): A sequence of characters that define a search pattern.
- Natural Language Processing (NLP): Techniques for analyzing human language to understand context, intent, entities, etc.
- Web Scraping: Automated methods for collecting data from websites.
- Microsoft Excel REGEX Functions: New capabilities including
[[concepts/regexextract|REGEXEXTRACT]]and[[concepts/regexreplace|REGEXREPLACE]]for efficient data extraction, cleaning, and formatting within spreadsheets.
References
- 2026 04 22 Excels REGEX Functions Efficient Data Extraction Cleaning and Formatting
Source Notes
- 2026-04-14: “But OpenClaw is expensive…”
- 2026-04-22: Excel · ▶ source