Structured web data, built for production workflows See how it works
Service

Web data feeds for the systems you already use

Collected data becomes useful when it arrives in the right structure, on the right schedule and with the identifiers your systems expect.

We prepare recurring web data outputs for pricing tools, BI platforms, databases, ERP systems and custom software.

Discuss your data delivery Request a sample schema

Supported output formats

CSV

A practical format for large flat datasets, imports, spreadsheets and data processing workflows.

XML

Suitable for structured feeds and systems that already use XML-based exchange.

JSON

Useful for software applications, integrations and nested data structures.

Excel

Suitable for business users who need a readable file for review or manual analysis.

Delivery methods

Depending on project requirements, data can be made available through secure cloud folders, browser download, WebDAV, API-based delivery, scheduled files or another agreed integration workflow.

Build the schema around your system

A dataset can include your internal product ID, source product ID, source URL, collection timestamp, country, region or store, category hierarchy, normalised price fields, currency, availability, seller, raw source values and validation status.

Full snapshots or changes only

Full snapshot

A complete export of all records collected during a run.

Incremental output

A file containing new or changed records, when reliable change detection can be implemented.

Historical archive

Dated files or records that allow your team to build price and availability history from the start of monitoring.

Delivery reliability

Operational controls may include file naming conventions, timestamps, row-count checks, required-column checks, duplicate checks, delivery completion monitoring, error notifications and reprocessing after recoverable failures.

Integration process

  1. You provide the expected format or sample import.
  2. We map available source fields to your schema.
  3. We identify required transformations.
  4. We produce a test dataset.
  5. Your team validates the import.
  6. We agree the production schedule and delivery method.

Make external web data ready for internal use

Discuss your data delivery