Skip to content
Discuss a project
Menu

Public data extraction

We collect permitted public data into a verifiable table or data flow with deduplication and a quality report.

DATA / PARSING

Public data extraction

We collect permitted public data into a verifiable table or data flow with deduplication and a quality report.

From RUB 3,000 for a clearly defined source. We start with a small, verifiable phase, so you can evaluate the result without committing to a large project upfront.

Public data extraction: service diagram
First step
From RUB 3,000 for a clearly defined source
Focus
One task and a measurable result
Control
Stages, acceptance criteria and the option to stop
Ownership
Settings, data and documentation remain yours

Request a plan and estimate

DATA / PARSING / TASKS

The tasks we address

We establish what currently gets in the way and which changes are needed first.

Source structure changes
We separate retrieval, normalisation and export
Data contains duplicates
We define stable keys
Some fields are missing
We record completeness and missing-value rules
Access restrictions affect the task
We check whether the scenario is permitted before development

DATA / PARSING / OUTCOME

What the work includes

We agree the scope and outcome of every stage before the project starts.

Source review
Accessibility, rules and dataset
Sample
Small selection and agreed columns
Collection
Pagination, retries and error handling
Export
CSV, Excel, JSON or API delivery

DATA / PARSING / PILOT

Where we start

The first phase produces a concrete deliverable you can verify and use even if the project goes no further.

From RUB 3,000 for a clearly defined source. Before starting, we define inputs, scope, acceptance criteria and a safe rollback point.

Agree inputs
Before work, agree data, constraints and expected results
Show a deliverable
The first phase produces a diagram, prototype or verifiable configuration
Make a decision
The result informs whether to scale, change approach or stop
Hand over control
We document the logic and keep the system editable in Bitrix

Discuss a pilot

DATA / PARSING / EVIDENCE

Experience and projects

Sample table, permitted use and limitations

We show architecture, constraints and completed work without invented reviews. For this service, the reference deliverable is a sample table with permitted-use conditions and limitations.

Profkostum
Catalogue, product data, e-commerce and search demand
Metallkorp
B2B marketing, website and enquiry processing

View relevant case studies

DATA / PARSING / BEFORE STARTING

Questions before work begins

Conditions that affect scope, timing and cost.

Can we test part of the catalogue first?
Yes. We agree 20–100 records, a field map and an error report before the full upload.
How do you prevent duplicates?
We use a stable external key and separately define update, addition and deletion rules.
What if a supplier sends an error?
Invalid rows are logged; working data must remain intact.
Can it run on a schedule?
Yes, after a successful test import and result monitoring are configured.

DATA / PARSING / ENQUIRY

Let’s discuss your task

Describe the task and share a link to the website or system. We will clarify the details and propose a work plan.

A relevant reply
No automated mailing list or intrusive calls
First deliverable
Sample table, permitted use and limitations
You retain control
Scope, timing and acceptance criteria are agreed before payment

Request an estimate