ENTERPRISE

Describe your data targets. We’ll scope your engagement.

AuraCrawl engagements are built for teams whose data problem is not “write a scraper” — it is hardened targets, real volume, and a pipeline that has to keep working next quarter. You bring the targets and the requirements; we bring the access engineering and own the maintenance.

Most teams reach us after the in-house attempt. The first version worked, then a target shipped a redesign, then a bot-defense vendor rotated its challenge, and a data pipeline quietly became two engineers’ standing commitment. The extraction was never the hard part. Staying in is.

That is the work we take on. Aura Strike exists because getting through commercial anti-bot systems reliably — and staying through them as they change — is a specialization, not a configuration flag. Aura Vision exists because selector-based extraction is a maintenance liability that compounds with every source you add. Aura Build exists because a record you cannot trust is not data. Put together, they let you treat web data as an input you consume rather than a system you operate.

WHAT YOU GET

What a custom engagement includes

Every engagement is scoped to your sources, volume, and delivery needs — but these are constant across all of them.

  • Target assessment

    Before anything is committed, we look at your actual targets and tell you what extraction involves — including where it is hard and where it is genuinely uncertain.

  • A working sample first

    You see real records from your real sources before the engagement begins. Evidence, not a deck.

  • Maintenance as targets change

    Layout changes and anti-bot rotations are our operating cost, not your incident. Keeping the pipeline alive is what you are paying for.

  • Delivery into your stack

    A hosted endpoint, an S3 or GCS drop, a webhook, or scheduled files. Your ingestion path stays whatever it already is.

  • Validation on every run

    Typed fields, normalized currencies and dates, deduplication, and change detection between runs. Records that fail checks are re-collected, not shipped.

  • A direct line to engineers

    You talk to the people who built your pipeline. No ticket queue, no account manager relaying questions.

FIT

Where we are the right call — and where we are not

Scoping goes faster when both sides are direct about it.

GOOD FIT

  • Targets that defeated your team or a previous vendor
  • Sources behind Incapsula, DataDome, Cloudflare, Akamai, or PerimeterX-class protection — studied at the protocol level, not guessed at
  • Data needed continuously, on a schedule, with maintenance included
  • Multi-source collections that need one normalized schema
  • Fresh web data feeding production models, agents, or retrieval systems

NOT A FIT

  • A one-off scrape of a single unprotected page — you do not need us for that
  • Data behind a login you do not own, or anything non-public
  • Personal data collection that would not survive a privacy review
  • Pay-as-you-go API access today — that is coming later, not something we sell now

SCOPING REQUEST

Tell us what you need extracted

An engineer — not a sales team — reads every email and replies with a scoped plan, a sample, and an honest read on difficulty. If a target is not worth attempting, we will say so.

  • Read and answered by an engineer, not a sales development rep
  • Every target tiered — Open, Rendered, or Defended — before it is quoted
  • Real extracted records before you commit to anything
  • An honest no if a target is not worth attempting

Prefer email? hi@auracrawl.com

SELF-SERVE API

Coming soon.

We are building an API so smaller jobs will not need a call with us first. It is not ready yet, and we would rather say that here than after you sign up. For now, every project starts with an email.