DATA EXTRACTION

Web data extraction with AI

We capture and structure data from web sources in a governed way, with quality validation and respect for each source's terms.

Web data extraction with AI

An AI agent for web data extraction matters when your goal is to capture and structure data from web sources continuously, not to automate navigation actions. Before selecting tools, we define journeys, permissions, data and supervision criteria so the agent operates under your company's control.

We work from Barcelona and Madrid and remotely with teams across Spain, Europe, LATAM and the United States. The process combines discovery, access hardening, verifiable releases and operational documentation.

We hand over code, repositories, configurations, skills and documentation in accounts owned by your company. You can audit, rotate credentials or change supplier without lock-in.

We capture and structure data from web sources in a governed way, with quality validation and respect for each source's terms. That is why we prioritise a governable, measurable agent ready to evolve without rebuilding its foundations.

THE CHALLENGE

The challenge of web data extraction with AI

web data is captured by hand or with scrapers that break on the first change

  • Web data changing structure

    Pages get redesigned and extractors stop working, forcing constant maintenance.

  • Volume beyond manual work

    Collecting data from hundreds of pages by hand is slow, costly and error-prone.

  • Quality and cleaning of extracts

    Data arrives in different formats with duplicates that must be normalized before use.

APPROACH

How we fix structuring web data in a governed and continuous way

We move forward with measurable decisions and releases that already add value.

  1. Source and field definition

    We agree on which pages to extract, which fields matter and how often to update.

  2. Robust, supervised extraction

    We configure the agent with selectors and validations, reviewing a sample before each load.

  3. Normalization and cleaning

    We apply format and deduplication rules to deliver business-ready data.

  4. Maintenance and change control

    We monitor source health and adjust the extractor when structures change.

DELIVERABLES

What web data extraction with AI leaves ready

We deliver an operational foundation your team can govern and keep improving.

  • Source and field plan

    Target page list, fields to extract and update frequency.

  • Configured web extractor

    Extraction system with selectors and quality validations.

  • Delivered normalized data

    Clean, deduplicated dataset ready to integrate.

  • Health control and adjustments

    Source monitor and maintenance plan for structural changes.

TRUST

Technology applied to real operations

We structure web data with quality and respect for each source's terms since 2008, in Barcelona and Madrid. Connectors and data stay under your control.

  • Scope, assumptions and risks visible before the deployment is committed.
  • Least privilege, secrets and systems of record defined from the design stage.
  • A measurable first release before expanding channels or departments.
  • Code, configuration and documentation under your company's control.

FAQ

Questions about web data extraction with AI

Have a project in mind?

Tell us what you need around web data extraction with AI. We will help you turn it into a clear, viable delivery plan.