Procurement intelligence first

Start with procurement.Extend anywhere.

WebTruffle’s primary use case turns public tender, award, supplier, and change records into procurement intelligence your systems can use. The same managed-data operating model remains available for products, markets, listings, jobs, public businesses, and operational sources.

Primary use case

Procurement intelligence is the wedge.

Inspect the free public data, then add only the sources, history, matching, monitoring, fields, and delivery your workflow needs.

Featured procurement product

Managed procurement data feeds

Add the sources, history, monitoring rules and delivery needed beyond the free public procurement editions.

Tenders · Awards · Supplier intelligence

Other managed data feeds

Six adjacent use cases. The same operating standard.

What every feed includes

The sources change. The standard does not.

Source-specific collection

Extraction workflows designed around the websites, access conditions, fields, and cadence in your scope.

A schema your systems can use

Records are cleaned, normalized, deduplicated, and mapped into an agreed structure before delivery.

Quality defined in advance

Freshness, coverage, field validity, and source fidelity are checked against acceptance criteria.

A feed that remains owned

We monitor production runs, investigate failures, and maintain the workflow as ordinary source changes occur.

Questions

Before you choose a use case.

Why is procurement intelligence WebTruffle’s primary use case?

Public procurement has a clear lifecycle but fragmented sources, jurisdictions, identifiers, and disclosure patterns. WebTruffle already publishes free tender and contract-award editions, so buyers can inspect the data model before scoping a tailored feed. That makes procurement the clearest starting point for the managed-data service.

What are the most common business web scraping use cases?

Common use cases include competitor price monitoring, product and stock tracking, market intelligence, real estate listing aggregation, job-posting analysis, business-directory extraction, and recurring operational data feeds. The right design depends on the decision the data must support, not only the websites being collected.

Can one managed data feed combine multiple websites?

Yes. A feed can collect from multiple public or client-authorized sources, normalize their different structures, deduplicate overlapping records, and deliver one consistent schema. Source references and observation timestamps can be retained for traceability.

How is a managed web scraping service different from a scraping API?

A scraping API generally supplies fetching infrastructure. A managed service takes responsibility for the agreed workflow around it: extraction logic, scheduling, normalization, validation, monitoring, delivery, and ordinary maintenance.

What formats can a custom web data feed use?

Delivery can be shaped around the consuming system, including CSV or JSON files through Microsoft Azure Blob Storage, Amazon S3, or a tailored dashboard. The exact format, schema, cadence, and destination are agreed during scoping.

Managed scraping beyond procurement

Have a different recurring data requirement?

Procurement intelligence is the primary offer. For an adjacent public or client-authorized source, share the target records, cadence, and destination and we’ll assess a practical managed-data path.