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How we collect.

Last updated 19 August 2026

What factget retrieves, what it refuses to retrieve, and what happens to your data once it's in a pipeline. Stated plainly, so you can bring this to whoever needs to sign off before we talk.

01What we collect from

factget retrieves from public, logged-out sources only. Retrieval is read-only: we don’t submit forms, post content, complete transactions, or modify anything at the source.

robots.txt is respected. Machine-readable rights reservations are honoured. Retrieval is rate-limited rather than run at whatever speed a source happens to tolerate.

02What we refuse

There’s a class of source we won’t touch, regardless of how the request is framed:

  • Sources behind a login, a paywall, or a terms-of-service gate.
  • Anything that requires credentials, a shared account, or an account we create ourselves.
  • Circumventing a site's technical access controls.
  • Personal data as a primary collection target.
  • One-off, bespoke scrapes outside a defined, recurring schema.
03Personal data

Personal data is avoided by default, enforced at the schema level rather than left to a reviewer to catch after the fact.

Where a dataset unavoidably includes personal data, your organisation is the data controller and factget acts as the processor. A data processing agreement is available on request.

04Where your data lives
ModeWhat it means
Managedfactget hosts the pipeline and the dataset.
No-retention (ZDR)Extraction runs without factget retaining a copy once the dataset is delivered.
Customer VPCThe pipeline runs inside your own cloud environment.

In every mode, your material is not used as training data, by factget or by any subprocessor. Export is continuous rather than a one-time handoff, so leaving with everything you have is always available, not a negotiation.

05Subprocessors
ProviderPurposeWhat it touches
Model providerSource investigation and extractor generationThe source content being investigated
Proxy / unblocking providerRouting retrieval requestsRequest metadata, not the extracted data itself
Cloud hostInfrastructure and storagePipeline infrastructure and, in managed mode, the dataset

This list changes as the product does. Customers on a contract are notified before a new subprocessor is added.

06Provenance

Every value in a dataset carries three things: the source it came from, the specific path that reached it (page, selector, or field), and when it was retrieved. That trail is built while the extraction runs, not reconstructed afterwards.

It’s a record of where a value came from, not a certification against any external standard.

07Certifications

factget does not hold a SOC 2 report today. A Type I engagement begins once a customer’s timeline requires it.

In the meantime, the controls available are architectural rather than a badge: deployment in your VPC or in no-retention mode, a collection policy limited to public, logged-out sources, and continuous data portability.

Running a security review? Send the questionnaire to apurv@factget.ai and we’ll answer it directly.

Talk to us

Build a datasetfrom your sources.

Tell us the sources and the fields you need. We’ll show you what factget can build, and keep current.