Build or buy?
Move recurring collection and maintenance out of your backlog while keeping the feed governed by an agreed specification.
Tell us the sources, fields, cadence, and destination. We build and maintain the collection, normalization, checks, and delivery for public and client-authorized data.
Data & engineering teams
Operations & product teams
Analysts with recurring inputs
Move recurring collection and maintenance out of your backlog while keeping the feed governed by an agreed specification.
Choose full snapshots, incremental updates, or an initial historical backfill based on how your downstream workflow consumes data.
Fit delivery to your existing workflow through CSV or JSON files in Microsoft Azure Blob Storage, Amazon S3, or a tailored dashboard.
Every project begins with a source review. Coverage is defined around technical feasibility, public or authorized access, and the fields your workflow genuinely needs.
These fields illustrate a practical data model, not a fixed package. Final availability and definitions are agreed source by source.
A scraper can work once and still fail as operational infrastructure. Recurring feeds need monitoring, validation, and clear ownership around every delivery.
Layouts, endpoints, and access patterns evolve. We monitor expected structure and investigate material deviations within the agreed project scope.
A completed run may still contain missing fields, duplicates, or stale values. We validate outputs against agreed rules before delivery.
Schema drift and inconsistent files can break dependent jobs. We version material output changes and coordinate delivery conventions with your team.
Schema and required-field validation
Volume and duplicate checks
Freshness and timestamp checks
Run-level error reporting
Feeds can be delivered as full snapshots or deltas on an agreed schedule, in CSV or JSON through Microsoft Azure Blob Storage, Amazon S3, or a tailored dashboard. Available methods depend on project scope and destination access.
It is a recurring, structured delivery of data from public or client-authorized web sources into a product, analytics, research, or operations workflow. The source, schema, cadence, checks, and destination are defined before production.
Only when the client is authorized to access and use the source and the proposed collection method is acceptable. We do not bypass access controls or collect from restricted systems without appropriate authorization.
We compare new runs with the expected structure and validation rules, then investigate material deviations. Significant access or schema changes may require re-scoping, which is communicated before dependent output changes.
Yes, where the source exposes the necessary current or historical information. We assess available coverage and scope the initial backfill separately from recurring snapshots or change-only deliveries.
Send the target sources, required fields, cadence, expected volume, and destination. We’ll review feasibility and outline a practical collection and delivery plan.