Data extraction
Structured data extraction from agreed sources. DLILB builds collection, validation and update workflows with exports in the format your team needs.
A data extraction tool collects available information from agreed sources and converts it into a consistent structure. It can support catalog updates, assortment research or content migration without repeated manual copying.
Key project elements
- Sources: establish permitted access methods, fields and update frequency.
- Extraction: build collection, normalization and required-value checks.
- Delivery: save data to CSV or a database, or pass it through an integration.
We first consider an official API or export. For page extraction, we account for layout changes, missing values and duplicates, and limit request rates. The process does not rely on bypassing authentication or the source owner's technical restrictions.
The result for your team
You receive an extraction tool, an agreed output format and update instructions. Validation helps detect a broken source before incomplete or incorrect data enters an operational catalog or analytical report.