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Data quality

Correct price data needs operational controls, not only large crawling volumes.

Getrealprice combines freshness checks, matching review, parser incident handling and reporting safeguards so delivered data remains usable for client workflows.

Quality controls

Controls that make monitored data usable.

Freshness checks

Schedules define when crawlers should start and finish so delivered files are not silently outdated.

Parser incident handling

Broken selectors, changed page structures, anti-crawling behavior and method changes are managed as operational incidents.

Matching review

Product connections are checked so pricing teams can trust comparable rows instead of manually cleaning raw output.

Report safeguards

Templates, alerts, barometers and exception files help detect unusual data rather than burying problems in exports.

Delivery confirmation

The SLA route separates data provision from communication and technical support responsibilities.

Human escalation

Named contact-person workflows and ticket-style communication keep ambiguous cases from becoming hidden defects.

Incident language

Make recovery expectations precise before a client signs.

Different incidents have different resolution paths. A simple selector change is not the same as a heavy platform, added anti-crawling defense, report-template change or client-requested data collection change.

  • Define data freshness and expected delivery windows.
  • Separate parser recovery from report template changes.
  • Explain when delays may affect monthly billing logic.
  • Keep communication channels visible in the SLA.
Data quality dashboard view

Use data quality as a procurement signal.

For serious buyers, operational controls are often more valuable than another generic feature list.

Open SLA preview