Grainger Data: 3 MRO Catalogs with UNSPSC, 250K Products from Cromwell
Full MRO catalogs from Grainger, Fastenal and Cromwell for a product content company: UNSPSC, EAN, every attribute and a taxonomy sheet.
On Kaspi.kz one product card lists every shop selling it, each with its own price and delivery date for your city. Our Kaspi.kz scraper collects the card and every offer.
Plans from €169 a month · Free project assessment · Reply within 1 business day
CSV · Excel · JSON · XML · FTP · SFTP · Amazon S3 · Google Cloud
API, JSON feed or CSV, XLSX and JSON files
ScheduleOne-time, monthly, weekly, daily or 3 times a day
Kaspi.kz pages, filters, fields and a schedule
Built, monitored and repaired by our team
API, JSON feed or CSV, XLSX and JSON files
Send us the scope: categories from the Kaspi Магазин (Kaspi Shop) tree, brands, search phrases, seller names or a list of product codes, plus the cities that matter - Almaty, Astana, Shymkent or any town in the city picker. We build the Kaspi.kz data scraper, run it on your schedule and repair it when the shop's front end changes. Pacing, proxy rotation, CAPTCHA handling and rendering of the script-driven seller tables are included.
The city is a parameter, not an afterthought. Kaspi.kz serves sellers, prices and delivery dates for the city the visitor picks, so each run fixes a city and every row carries it. Output is CSV, XLSX, JSON or JSONLines, sent to Amazon S3, FTP or your database, or read through our API.
Kaspi.kz separates the product from the shops selling it. The product card holds the description and specifications; the offers sit in a table under the Продавцы (sellers) tab, one line per shop. We read both and deliver them as linked tables keyed on the Код товара, the product code printed above the title and repeated at the end of the address.
Listing tiles repeat the price, installment and badges in short form with the star rating and review count, so a crawl can start from a category and fill in seller offers only where you need them.


Category pages on Kaspi.kz come with a long filter panel. Next to price bands and brands sit filters by model, by technical attribute and by seller, a С подарком (with a gift) switch, and a count beside every value. Sorting runs Популярные, Новинки, Сначала дешевые, Сначала дорогие and Высокий рейтинг - popular, newest, cheapest, most expensive and top rated. Those counts are a market map in themselves: how many listings a brand, a memory size or a seller holds in one category and one city.
Merchant pages add the seller layer. Each shows the shop's name and city, how long it has been on Kaspi Магазин, a band for the orders it has completed, its star rating, which Kaspi calculates from buyer ratings over the last ninety days, and the reviews left for the shop itself.
A Kaspi.kz price tracker is built from repeated runs. Offer prices for one product often sit only tenge apart, so a small cut by one shop reorders the table and moves the headline price, so a daily schedule keyed on product code, seller and city produces a price history per offer. Reviewers' first names are personal data and are left out by default; shop names, as businesses, stay in.
Kaspi.kz is a Kazakh super-app: payments, transfers, travel, government services, classifieds and a marketplace share one brand. The marketplace is Kaspi Магазин at kaspi.kz/shop, and its labels are in Russian, while shoppers write reviews in both Russian and Kazakh.
Products are sold by shops, from electronics chains such as Mechta.kz and Sulpak to brands' official stores and small resellers. Each shop attaches its offer to a shared product card, and the buyer picks a seller from the table. The categories run from Телефоны и гаджеты (phones and gadgets) and Бытовая техника (home appliances) to Аптека (pharmacy), Автотовары (car goods) and Товары для животных (pet goods).
Two features drive the data model. The shop is city-based: the visitor picks a city first, the address takes a city code, and the sellers, prices and delivery dates follow from that choice. And it is built around paying over time: cards show an installment price next to the full price, and the installment term is part of every offer. Any comparison of Kazakh retail prices on Kaspi.kz therefore has to fix the city and the term before it fixes the product.
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan detailsBecause every shop's offer sits in one table per product and city, Kaspi.kz data shows competition directly.
Full MRO catalogs from Grainger, Fastenal and Cromwell for a product content company: UNSPSC, EAN, every attribute and a taxonomy sheet.
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Learn how to use web scraping to solve data problems for your organization
If you sell online, run a marketplace, or advise e-commerce clients, you already know why eBay matters: it’s one of the few places where big retailers compete side by side with thousands of small merchants and private sellers.
E-commerce teams do not just need “some” competitor data anymore. They need a continuous stream of real prices, discounts, stock levels, reviews, and seller behavior from the platforms that actually shape their markets.
Amazon provides valuable information gathered in one place: products, reviews, ratings, exclusive offers, news, etc. So scraping data from Amazon will help solve the problems of the time-consuming process of extracting data from e-commerce.
ScrapeIt is a managed scraping service: we build, run and maintain the crawlers and deliver finished datasets with field documentation. We work with marketplaces where many shops sell one product, and Kaspi.kz adds two dimensions we model explicitly - the city and the installment term. Russian labels become documented English column names, and tenge amounts written with spaces between thousands become numbers.
Still unsure? Write to info@scrapeit.io
Yes. The ScrapeIt Kaspi.kz API returns the product code, title, each seller's name, price, monthly installment and delivery options for the city you choose, as JSON from an endpoint we host and on the schedule you set. The same data is also available as CSV or XLSX files, a JSON feed, or a direct load into your database.
Yes. Product cards, seller tables, prices, specifications and reviews on kaspi.kz/shop open for any visitor once a city is picked, with no sign-in. We collect only publicly available data - everything a visitor can see on Kaspi.kz - and we collect it legally.
Yes. The city is part of every run, chosen from the same list the site's city picker offers, and each row records it. Track one city daily, or run the same product codes across several cities on the same morning to compare sellers, prices and delivery dates side by side.
Yes. We collect the product rating and review count, and for each review its date, comment text and helpful count, split into positive and negative if you wish; merchant pages add the shop's rating and its own reviews. Reviewers' first names are personal data and are dropped by default.
Yes. The Продавцы table is paginated, and we page through it to the last shop, so a popular phone returns every seller in the city rather than the first screen. Each offer keeps its delivery options - Postomat, courier, Express or pickup - with the dates and fees shown.
You share your needs, expectations, and desired timeframe. We'll suggest the best solution based on your request and budget.
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Tell us which sites, which fields and how often. A couple of lines is enough to start.
Kaspi.kz data from €169/month. Free project assessment, reply within 1 business day.