Managed web data extraction workspace

Reduce the number of rented scraping subscriptions and manual re-checks while keeping extracted data inside the client's own systems. For operations and data teams that need recurring structured data from public websites, convert permitted target URLs, extraction rules and delivery formats into reviewed, export-ready datasets linked to source pages. The benefit is a testable hypothesis, measured through accepted records per extraction hour and corrections after delivery; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect permitted target URLs, extraction rules and delivery formats, then follow this sequence: 1. Configure target URLs and extraction fields without code. 2. Render JavaScript pages before extraction. 3. Crawl full sites by following internal links. Resolve uncertain cases with qualified reviewers, approve reviewed, export-ready datasets linked to source pages, and measure accepted records per extraction hour and corrections after delivery against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Extraction runs only on permitted public pages; final data-use and legal checks remain with the client. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve source attribution, extraction permissions and usage limits. Clients approve data use and retention scope. One permitted target site class and one delivery format; final data-use and legal checks remain with the client. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

What to build first

Pilot scope: One permitted target site class and one delivery format; final data-use and legal checks remain with the client. Implement one approved input format, a bounded representative case set and the first two task modules: configure target URLs and extraction fields without code; render JavaScript pages before extraction. Support the third module with operator review: crawl full sites by following internal links. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

What it can connect to

Client-owned databases, spreadsheets and data warehouses. Cloud storage, scheduling services and downstream automation platforms. Start with file exchange and validate destination specifications before promising direct writes. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Target and rules setup, Run monitor and review queue, Dataset export and delivery. Use a project list for scraping jobs, a central table of extracted records with source links, and a right-hand panel for selectors, schedules and permissions. Let users compare runs side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant record. Make the task-specific outcome reviewed, export-ready datasets linked to source pages visible beside its evidence, review state and value baseline.