Which sources do you connect?

First, we check available pages, API, exports, and source terms. We fix the list of data and the permissible collection method. Closed systems require owner-provided access; page availability by itself does not determine the terms of use for its content.

What happens if the site changes?

Field and sample control helps detect changes. Incorrect data should not silently replace a working export. We perform builder adaptation within an agreed support scope or estimate it separately.

What to do in case of CAPTCHA or blocking?

We verify the available API, export, or the possibility of coordinating access with the owner. If there is no acceptable method, we fix the source limitation and propose an alternative. Universal protection bypass is not included in the offer.

In what format will we receive the data?

Excel, CSV, JSON, table, or upload via an agreed API. We agree on the schema, encoding, and rules for empty values based on a control sample.

Can updates be received instantly?

The interval depends on the available interface, limits, and update speed of the source itself. For pages, a scheduled poll is usually needed; a stream of events is possible if the source provides it.

Traveler on a snowy mountain peak before the moon

STRUCTURED DATA

Parsing and data collection:
structured information for business

We develop data collection from available sources: catalogs, prices, stock, and other agreed fields. We set up cleaning, export, and updates on a schedule with error control.

Packages and pricing

TASK
SCENARIO
DATA

VERIFICATION
LAUNCH
HANDOVER

6 stages from requirements
to launch and handover

SOURCE
QUALITY
UPDATE

700+completed
projects

2011year of start
of studio

40+niches and business-
models

2023Google
Premier Partner status

Development,
marketing, analytics

How we work

Not just a dump.
Data for your task

First, we define which fields are needed and how they will be used: price comparison, catalog updates, or assortment analysis. We check the source availability, its terms, and the possibility of getting data via API or export instead of page crawling.

We agree on the result structure from a sample: identifiers, units of measurement, currency, product variants, and collection time. We distinguish missing fields from zero values; we mark duplicates and incomplete records according to established rules.

For regular collection, we set a schedule, permissible request frequency, and structure change control. The source may become unavailable or change format: in such a case, we log an error and notify the person in charge. Maintenance of source changes is agreed separately.

Checking availability and source conditions
Approved field schema and control sample
Cleaning duplicates, formats, and incomplete entries
Export to a file, database, or available API
Schedule, error log, and notifications

Fields

Every value has a clear meaning

Sampling

The result is checked before full launch

Freshness

Visible when data is collected

Control

Source changes do not go unnoticed

API or export first

If the source provides a suitable interface, we use it. For scraping from pages, we agree on acceptable access and load. We do not turn restrictions and blocks into a promise of a universal bypass.

Approach

Collecting from result control

Row count is only useful when combined with quality, origin, and update time.

Clear structure

We agree on a unified format for names, prices, identifiers, and product variants. We keep a reference to the source and a timestamp so the record can be verified.

Quality checks

We compare the control sample against the source, checking mandatory fields and abrupt changes. We separately document omissions and data retrieval errors.

Careful updates

We limit request frequency and number of retries. We account for rate limit responses; if a page changes, we stop incorrect loading according to agreed-upon rules.

Process

From source to the final data export

Before mass collection, we check access and results on a small volume.

Sources and task

We define the list of sources, access conditions, fields, and purpose of use. We check for API and export availability.

Control sample

We collect a small set of records and approve the schema. We clarify options, units, omissions, and identification rules.

Collection development

We implement an agreed way of obtaining data. We add limits, timeouts, and limited retries.

Cleaning and verification

We normalize values, check mandatory fields, and duplicates. We mark erroneous records separately from correct ones.

Export and schedule

We prepare a file or exchange with the agreed system. For monitoring, we set the frequency and notification conditions.

Acceptance and handover

We compare the result with the sample and error report. We provide the script or service, startup instructions, and support terms.

Practice

Receipt, processing and data transfer

The collection method is determined by the source, available interfaces, and agreed load.

API and exports

Documented interfaces, XML, CSV or JSON. We check pagination, limits, and record update rules.

Collecting from pages

Python and HTML parsers for accessible content; browser automation for agreed dynamic pages. If access is restricted, we discuss another source.

Verification and export

Schema control, sample reconciliation, and execution log. The result is delivered to a file, table, database, or CRM in an agreed format.

— COST

Pricing
to data parsing

Volume depends on source structure, number of fields, and update frequency. Availability is confirmed prior to development.

Scope of work	One-time parsing One consistent source export 30 000 ₽ from 3 days	POPULAR Monitoring Collecting on schedule and tracking changes 60 000 ₽ from 7 days	API Integration Collection and exchange service with your system 110 000 ₽ from 14 days
Sources	One website of agreed complexity	Up to 3 sources	List based on assignment
Volume of result	Up to 100,000 rows	Up to 1,000,000 rows per month	Limit and load per task
Update	One export	Daily or weekly per request	Interval by source capabilities
Access method	Available pages / API	Approved access and limits	Available interfaces per request
Export	Excel / CSV	Table / Excel / JSON	Database / CRM / 1C via accessible API
Notifications	Not included	Prices and availability as per task	Approved monitoring events
Support	14 days by code	30 days of support	3 months by agreed sources

Cost of development or agreed one-time collection. Server, paid sources, and third-party API are paid separately. Access conditions, allowed load, and volume are fixed before starting. Significant source changes are priced separately.

— QUESTIONS AND ANSWERS

Everything that matters
before start

Scope of work, source materials, approval order, and launch conditions.

Ask a question

Which sources do you connect?

First, we check available pages, API, exports, and source terms. We fix the list of data and the permissible collection method. Closed systems require owner-provided access; page availability by itself does not determine the terms of use for its content.
What happens if the site changes?

Field and sample control helps detect changes. Incorrect data should not silently replace a working export. We perform builder adaptation within an agreed support scope or estimate it separately.
What to do in case of CAPTCHA or blocking?

We verify the available API, export, or the possibility of coordinating access with the owner. If there is no acceptable method, we fix the source limitation and propose an alternative. Universal protection bypass is not included in the offer.
In what format will we receive the data?

Excel, CSV, JSON, table, or upload via an agreed API. We agree on the schema, encoding, and rules for empty values based on a control sample.
Can updates be received instantly?

The interval depends on the available interface, limits, and update speed of the source itself. For pages, a scheduled poll is usually needed; a stream of events is possible if the source provides it.