Real projects, anonymized

Challenge

A retailer needed product data extracted from multiple supplier websites, each with a different structure and inconsistent field naming.

Solution

Custom scrapers were built per source, normalizing SKUs, prices and availability into a single consistent schema.

Data workflow

Extraction, field mapping, deduplication and validation, then export to a structured format for import.

Result

A consolidated, structured dataset the team could use directly in their catalog processes.

Technologies

Challenge

Inventory data was spread across several suppliers and had to be consolidated and updated regularly in an e-commerce platform.

Solution

An automated pipeline collects supplier data, normalizes stock information and pushes validated updates to the store.

Data workflow

Scheduled collection, normalization, validation and automated delivery to the e-commerce platform.

Result

Reduced manual effort and more consistent inventory data across the catalog.

Technologies

Challenge

A sales team needed structured public business data for specific regions and categories.

Solution

Search-driven collection of public business information with cleaning and deduplication before delivery.

Data workflow

Search by location and category, extraction, cleaning, deduplication and structured export.

Result

A clean, structured list ready for legitimate outreach and market analysis.

Technologies

Challenge

A directory site required navigating and collecting a large volume of public records while separating main records from related entries.

Solution

A pagination-aware extractor with deduplication controls and structured output handling.

Data workflow

Paginated navigation, collection of primary and related records, deduplication and export.

Result

Thousands of unique, structured records delivered without duplication.

Technologies