Online store scraping

Scraping furniture stores in Uzbekistan — price & assortment monitoring

Furniture and interior catalogs in Uzbekistan: dimensions, materials, prices and delivery times.

4 stores in this list Category: furniture & Interior Geography: Uzbekistan

In furniture in Uzbekistan variants matter: one sofa is dozens of upholstery × mechanism combinations, each with its own price and lead time. We unfold cards to configuration level so comparison happens on actually orderable variants.

This list counts 4 stores; the leaders by domain authority: Divan.uz, Homedit, FullHouse. We collect data from large multi-level catalogs and niche shops alike: everything lands in one structure, so prices and assortment compare directly.

Shelves in this list carry Askona, Ormatek and other brands — every product is linked to its brand in the feed, so you can track brand presence and pricing across sellers.

We deliver data the way you need it: one-off price scraping or scheduled refresh, in Excel, CSV, JSON, XML, Google Sheets, REST API or straight into your database. We agree the field structure upfront and send a free sample first.

data structure

Fields we collect: Furniture & Interior

The baseline set for this category — extended to fit your task.

01
Model

title, collection, brand, category, URL, photos

02
Dimensions

sizes, sleeping area, weight, package volume

03
Materials

upholstery, frame, colour, build options

04
Prices

base and promo price, configuration prices

05
Lead times

availability, production and delivery time

06
Assembly & warranty

assembly terms, warranty, returns

why business needs it

Jobs this scraping gets done

Price monitoring

Comparing analogous models by size and material.

Assortment map

Which segments and styles competitors cover.

Lead-time monitoring

Promised delivery as a competitive factor.

Promo analytics

Markdown dynamics in high and low season.

Stores in this category in Uzbekistan

Ranked by domain authority — price scraping and scheduled price monitoring are available for any platform below.

# Store Domain DR
1
Divan.uz
divan.uz 28
2
Homedit
homedit.uz 18
3
FullHouse
fullhouse.uz 9
4
Askona
askona.uz 3

DR (Domain Rating) — domain authority on a 0–100 scale; it reflects link-profile strength, not sales.

top platforms

Top platforms: what gets scraped

Quick notes on the leaders of this list — any of them can be plugged into the same field structure.

Scraping Divan.uz

From Divan.uz we usually extract model, dimensions, materials. The export arrives in the same structure as the rest of this list, so the data compares directly.

Homedit data: catalog and prices

On Homedit we track the catalog and prices — dimensions, materials — one-off or on a schedule. Delivered as a file, via API or straight into your database.

FullHouse data: catalog and prices

For FullHouse we set up recurring collection: materials, prices, lead times. Cadence ranges from a one-off export to several refreshes a day.

Askona data: catalog and prices

For Askona we collect prices, lead times — with change history — useful for repricing and assortment control.

how we work

From request to first delivery

01

Scope the task

We fix the stores, fields, catalog depth and refresh frequency.

02

Free sample

A data fragment in the agreed structure — before any payment.

03

Collect & validate

Full collection with completeness and consistency checks.

04

Deliver & refresh

File, API or database — refreshed on your schedule.

questions & answers

Frequently asked questions

Do you handle upholstery and size variants?
Yes, each configuration with its own price lands as a separate row — comparison runs on comparable variants.
Can delivery times be tracked?
Yes, we log stated production and delivery times per card; with scheduled collection their dynamics become visible.
How do you compare furniture without shared SKUs?
Matching by dimensions, materials and category plus manual verification of key items — we agree the method for your task.
request data

Need scraping of furniture stores?

Describe the task — we will set up a price scraper for it, propose the field set and refresh cadence, and send a free data sample for the stores you pick.

We'll respond within one business day.