Scraping DIY and home improvement stores in Kazakhstan — price & assortment monitoring
DIY retail scraping in Kazakhstan: catalogs, stock levels, unit prices and regional availability.
DIY is a category where price lives in units of measure: per piece, meter, liter or pack. We normalize store prices in Kazakhstan to comparable units and log per-store availability — in this category it varies city to city more than anywhere else.
There are 7 platforms here, led by 12 Mesyatsev, Akvilon, Stroydom SD by domain authority. Site size is not a constraint: catalogs with hundreds of thousands of SKUs and small stores are normalized to the same field schema, making sellers directly comparable.
Brands you will meet across these stores include Bosch, valberg, valtec, kerama marazzi, Knauf, triton. The product-to-brand mapping ships with the data: convenient for distribution control and shelf comparison.
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.
Fields we collect: DIY, Home & Garden
The baseline set for this category — extended to fit your task.
title, SKU, brand, category, URL, photos
price per pc/m/m²/l/kg and per pack
dimensions, material, purpose, compatibility
stock in stores and warehouse, city/region
old price, discount, special offers
certificates, manuals, usage classes
Jobs this scraping gets done
Comparison with chains in comparable units.
Stock and prices by city and store.
What competitors sell that you do not.
Your products’ presence on chain shelves.
Stores in this category in Kazakhstan
Ranked by domain authority — price scraping and scheduled price monitoring are available for any platform below.
| # | Store | DR |
|---|---|---|
| 1 | 12 Mesyatsev |
30 |
| 2 | Akvilon |
27 |
| 3 | Stroydom SD |
26 |
| 4 | Megastroy |
25 |
| 5 | Baumarkt |
19 |
| 6 | Protool |
10 |
| 7 | VseInstrumenty |
0 |
DR (Domain Rating) — domain authority on a 0–100 scale; it reflects link-profile strength, not sales.
Top platforms: what gets scraped
Quick notes on the leaders of this list — any of them can be plugged into the same field structure.
From 12 Mesyatsev we usually extract product, unit price, specifications. The export arrives in the same structure as the rest of this list, so the data compares directly.
For Akvilon we set up recurring collection: unit price, specifications, per-store stock. Cadence ranges from a one-off export to several refreshes a day.
For Stroydom SD we collect specifications, per-store stock — with change history — useful for repricing and assortment control.
For Megastroy we collect per-store stock, promotions — with change history — useful for repricing and assortment control.
For Baumarkt we set up recurring collection: promotions, documents, product. Cadence ranges from a one-off export to several refreshes a day.
From request to first delivery
Request & brief
Pick platforms from the list, define fields and cadence.
Data sample
We show the structure on a real catalog fragment, free.
Full collection
Entire catalogs, with quality and dedup control.
Data delivery
Excel, CSV, JSON, API or your DBMS — one-off or scheduled.
Frequently asked questions
Can we get stock for individual stores of a chain?
How do you compare prices across different pack sizes?
Do you collect specifications and certificates?
Other categories: Kazakhstan
Store scraping for other categories in the same geography.