PolicyCrawl DataOpsPolicyCrawl DataOps
Policy-First Web Data Acquisition

Reliable web data with visible policy boundaries and audit-ready evidence

PolicyCrawl DataOps orchestrates monitored web collection and converts changing pages into versioned, structured datasets delivered to your analytics and security stack. No more scraper break/fix cycles.

Sign In

99.5%

Pipeline Uptime

6M+

Pages Rendered Monthly

100%

Audit-Ready Logging

Governed collection. Structured delivery. Full observability.

Every capability is designed around policy visibility, operational reliability, and audit-ready evidence so your team can trust the data and the process.

Crawl Orchestration

Schedule runs with retries, SLAs, and regional execution. Headless browsers and managed queues handle rendering so your team focuses on the data, not the infrastructure.

Schema-Bound Extraction

Convert rendered pages into structured records tied to explicit field definitions with validation checks and change tests. Every output conforms to your schema.

Policy Enforcement

Configure robots respect, rate limits, jurisdiction rules, and allow/deny lists. Violations and drift surface as first-class events with traceable evidence.

Observable Pipelines

Run histories, SLAs, retries, and failure modes are visible and actionable. Drill down from KPI to run to request to extracted record.

Versioned Change Control

Diffs, approvals, and publish steps for data shape and page changes. Every modification is reviewable before it reaches your downstream systems.

Enterprise Integrations

Connect to Snowflake, BigQuery, Databricks, SIEMs, BI tools, and on-call workflows. Consistent signals flow into your existing stack.

How it works

From target definition to downstream delivery in three clear steps, each with full policy enforcement and traceability.

01

Define targets and schema

Specify the sites, page patterns, and fields you need. Set policy guardrails: region, rate limits, robots respect, and jurisdiction rules.

02

Schedule and validate

Runs execute on your cadence with retries and SLAs. Each extraction is validated against your schema and tested for drift. Layout changes route for approval.

03

Deliver and monitor

Versioned datasets publish to Snowflake, BigQuery, SIEMs, or any connected destination. Anomalies trigger alerts. Every request is logged for audit.

Trusted by data, CI, and risk teams

Teams across industries rely on PolicyCrawl DataOps to replace fragile scraping with dependable, governed data pipelines.

We replaced three internal scraping tools and an army of cron jobs. Pipeline reliability went from 72% to 99.5% in the first quarter.

Sarah Chen

Director of Data Engineering, A Fortune 500 Retailer

The audit trail alone justified the investment. When our compliance team asks how we collect competitor pricing, we hand them a report, not a spreadsheet of excuses.

Marcus Webb

VP of Competitive Intelligence, Global Financial Services Firm

Schema-bound extraction with drift detection means we catch layout changes before they corrupt our BI dashboards. That used to cost us two engineer-days per incident.

Priya Nair

Lead Data Analyst, Enterprise SaaS Company

Replace scraper break/fix with governed data delivery

Configure your first pipeline, define your policy guardrails, and start receiving validated, versioned datasets in days, not months.

Sign In
Policy-first controls Audit-ready evidence Enterprise integrations