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Data service

We go get the data you need

We build a self-hosted pipeline that collects the data you need, cleans it, and feeds it straight to your CRM or the system that uses it. Live in 2 to 4 weeks.

Any source
Sites, portals, PDFs
Self-hosted
Inside your own infrastructure
2 to 4 wks
Sources to live pipeline

The collector network · live

Eight platforms in. One clean stream out.

The data engineering behind RoomPulse, Vistalink, and more across the hotel industry: 20M+ rates processed daily across 150+ countries, every record normalized before it lands.

code2b/data · collector-network8 collectors · all reading
sourcesoutput
NORMALIZEparse · de-duplicate · structure20M+ rates/day1150+ countriesclean stream→ RoomPulseBooking.comExpediaAgodaMarriottHiltonIHGTrip.comSkyscanner
20M+1

hotel rates processed daily

150+

countries covered by the network

RoomPulse

one of the platforms this network powers; we built and run the data engine behind it

collectors nominal · 8 modulesJOB-019 · rate intelligence

1.RoomPulse rate-intelligence engine, daily throughput

2.hotel platforms shown because that is where this network runs in production; the same architecture points at whatever sources your business needs

What changes

The afternoon you get back

Manual collection eats an afternoon and is stale by the time you finish. The pipeline does not blink.

Collected by hand

Open tabs, copy fields, retype into a sheet

One run pulls every field, clean and structured

Same company entered three different ways

Normalized and de-duplicated automatically

Stale the moment you finish

Refreshed on a schedule, always current

Check every row, or nobody does

Only real edge cases get flagged for review

On the way out

From any source a person can open

If a human can open and read it, we can usually build a pipeline to collect it.

Raw page text and PDF content is noise. We parse it into the exact fields you need and flag anything that looks off, so a person reviews the edge cases instead of every row.

  • Public sites, directories, and marketplaces
  • Login-protected portals and dashboards
  • Document stores, spreadsheets, and PDFs
  • Layouts that change page to page
  • Hundreds of records per run
Example
data-mine.run
delivered as one feed
Platform
Portal
PDF
Feed
CSV
Web
API
Email
normalise
one feed
PropertyRateStatus
Harbour View Hotel148.00clean
Pine Ridge Lodge96.50clean
Pine Ridge Lodge96.50
dup, dropped
Central Suites212.00clean
Old Mill Inn134.00clean
Lakeside Rooms178.00clean
5 clean rows, 1 duplicate dropped
hotel rates processed daily20M+

One example. Self-hosted collection from any source a person can open, normalized and de-duplicated into one feed.

Destinations

Where it fits in your stack

Data is only useful where it lands. We feed structured records into the tools you already run.

  • 01Your CRMLogged and enriched in HubSpot, Salesforce, or Pipedrive. No manual entry.
  • 02Sheets & databasesClean tables and live syncs into Google Sheets, Postgres, or your warehouse.
  • 03Product & pricing feedsStructured records delivered straight to the product or pricing engine that consumes them.
  • 04A custom systemA pricing model, compliance check, or dashboard we build around the data.
  • 05On a scheduleOnce, hourly, or daily. Current without anyone re-running it.
  • 06Change monitoringWatch sources and trigger an action the moment something moves.
Questions

Asked before every pipeline.

Straight answers, the same ones you would get on the call.

The pipeline parses and structures automatically, but it is human-in-the-loop by design. We normalize and de-duplicate every record and flag anything ambiguous, so a person approves the edge cases before the data is acted on, instead of trusting every row blindly.

Yes. Built to SOC 2 controls and GDPR aligned, DPA on request, with encryption at rest and in transit, role-based access, and audit logging. When data residency matters, we run the entire pipeline self-hosted inside your own infrastructure so nothing leaves your servers.

Most go live in 2 to 4 weeks, and a simple single-source pipeline in about one. You see it running against your real sources before it goes live, with a fixed scope and fixed fee agreed up front.

That is the whole point. We collect from public sites, login-protected portals, document stores, and PDFs, then feed clean records straight into your CRM, spreadsheets, database, or the system that uses them. If a human can open a source, we can usually build a pipeline to read it.

Aleksandar JancaDusan Dimitris Janca

Every data engagement is led personally by Code2b's founders, Alex and Dusan.

Book a 15-minute call

Tell us what data you need, and where it hides

Book a 15-minute call. We map the sources, the fields that matter, and where the data lands, then give you a fixed scope, a fixed fee, and a real timeline before you commit.

  • Built to SOC 2 controls
  • GDPR aligned · DPA on request
  • Private AI on your own servers: yourtrained.ai