Data Extraction Workflow • Technical Modules
Core Data Extraction Modules
Source Discovery
Identification and assessment of relevant public and authorised data sources.
- Source identification
- Website structure review
- Data availability assessment
Automated Extraction
Collection of defined information from suitable online sources.
- Structured data extraction
- Multi-page collection
- Automated workflows
Data Processing
Transformation of collected information into cleaner and more useful datasets.
- Data normalisation
- Duplicate handling
- Field organisation
Business Data Collection
Creation of datasets for research, analysis, monitoring, or operational use.
- Market information
- Business directories
- Competitor information
Scheduled Collection
Recurring data collection processes for information that changes over time.
- Scheduled jobs
- Data refresh workflows
- Incremental updates
Data Validation
Quality checks designed to improve the consistency and usefulness of extracted data.
- Field validation
- Duplicate detection
- Data quality checks
Data Delivery
Preparation of extracted information for further analysis or integration.
- CSV and spreadsheet formats
- Database-ready data
- Integration-ready outputs
Our data extraction solutions transform publicly available or authorised online
information into structured datasets that can support research, monitoring,
business intelligence, and operational workflows.
information into structured datasets that can support research, monitoring,
business intelligence, and operational workflows.