The Entire Iherb Supplements Catalog, Captured End-to-End in 3 Days
Scraping supplement products from iHerb.com with full details, including descriptions and packaging variations.
Learn MoreOne goods id addresses the same Shein item on 45 storefronts in 36 languages. We scrape Shein colour by colour and size by size, and hand back a feed that already lines up.
This runs as a managed service, not a script handover. Coverage is planned from each storefront's own product sitemaps, which currently list 12,000 addresses per file, because listing, search and sale shelves turn automated clients away while product pages answer. The crawl key is the goods id: any slug in front of the right id resolves to the canonical address, so a feed keyed on the id survives every retitling. Colour siblings are pulled through the colour list, so a style comes back whole. Anti-bot handling, proxy rotation and CAPTCHA solving are part of the service, and so is the retry logic that keeps a size-level sweep internally consistent. Output arrives as CSV, JSON, JSONL or Parquet over S3, GCS, SFTP or a webhook, daily or hourly, with a change feed so you read only what moved. There is no public Shein API for buyers, so we deliver the feed such an API would have given you.
A Shein item is three identifiers deep, and getting that right is most of the work in any extract Shein product data job.
Fill rates are uneven and we report them: measurement tables are dense on garments and absent on electronics, and review blocks are empty on new listings and much of the marketplace. Listings sold into the EU add a responsible person block that others omit.
New Arrivals Dropped Daily is Shein's own line, and the id space shows it: seven-digit goods ids from the early years still resolve while new listings are nine digits. A style can appear, sell through and never be restocked inside a season, so two snapshots a month apart are not a comparison but two different catalogues. Anyone building a Shein product feed has to decide early whether a missing id means sold out, delisted or moved to another colour address.
Pricing has more layers than the shelf number suggests. Beside the sale price and the struck retail price sit a saving, a discount percentage, a member price, and stacked coupons with rules of their own, such as a new-user 30 percent voucher on orders above USD 9.90 capped at USD 10, next to a time-limited product coupon. Flash Sale, Store Flash Sale, Brand Sale, Exclusive Sale Price and Limited Stock Price are separate mechanics with separate labels, and membership tiers change what is offered. The struck price is not yesterday's selling price, and the same sku can be quoted at two different sale prices in two sessions while the struck number stays put, so a price row is worth something only with its context.
Fulfilment adds an axis: stock sits per mall code, QuickShip is decided per sku, and local seller and local shipment flags change the delivery promise inside one country.
Two things we leave alone. Reviewer names, review photographs and the body measurements shoppers attach to a fit rating are personal data, so we keep the score, date, fit reading and text and drop the person. Anything behind a sign-in stays out of scope.
Shein began as a fast fashion label and now runs like a general marketplace with a fashion front door. The top navigation carries 25 channels: New In, Sale, Women Clothing, Kids, Curve, Men Clothing, Shoes, Underwear and Sleepwear, Home and Living, Jewelry and Accessories, Beauty and Health, Baby and Maternity, Bags and Luggage, Sports and Outdoors, Home Textiles, Cell Phones and Accessories, Electronics, Toys and Games, Tools and Home Improvement, Office and School Supplies, Pet Supplies, Appliances, Automotive, Books and Magazine, Food and Beverages. Plan to scrape Shein and you plan against all of it at once.
The catalogue tree is numeric. Leaf categories sit at addresses shaped like /Women-Briefs-c-2205.html, and the published map currently holds roughly ten thousand of them with ids spread from 1727 to 14586: Plus Size Shapewear Tops, Baby Bathrobe, Men Driving Gloves, Sword Bag, Alternative Energy Generators. Merchandised channels currently use a second id space and their own prefixes, as in /RecommendSelection/Curve-sc-017172964.html, /recommend/New-In-sc-10050082658.html and /sale/All-Sale-sc-0051884505.html. Curve is a channel and a size range at once, and the size selector on a single garment can offer XS to XL, Tall and Curve side by side.
Above the tree sit surfaces ordinary retail does not have: Top Trends, Super Deals, Brand Deals, SHEIN Picks shelves, ark landing pages, and a Free Trial Center where shoppers receive items and file trial reports that come back as reviews.
The third leg is the marketplace. Third-party sellers, tagged 3P Seller on the item itself, hold store pages addressed as /BRICKS-WORLD-store-1206338176.html, and the seller store map on one storefront alone runs to roughly 317,000 addresses.
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A single product page publishes 116 language and region alternates pointing at 45 hosts, and the same goods id with the same slug appears on all of them: us, de, at, fr, it, es, pl, jp, kr, br, za and more on shein.com, plus country domains shein.co.uk, shein.se, shein.in, shein.tw, shein.com.mx, shein.com.vn, shein.com.co and shein.com.hk, plus three pan-European hosts. Language rides on a query parameter instead of a path, so 36 languages fan out over 49 regions. For Shein price data that is the cheapest cross-border join in retail: no fuzzy title matching, no brand dictionary, one id.
What differs is depth. The product sitemap index on the American storefront currently lists about 2,791 files where Germany lists 484 and Britain lists 453, and each file holds 12,000 addresses, so the British catalogue alone came to roughly 5.4 million product addresses in September 2026. Assortment, not translation, is what separates one country from another.
Currency handling is unusually kind to a buyer of data. Every amount is written twice, once in the storefront currency and once as a dollar figure, so a Shein scraping run across countries does not need an exchange rate table to line prices up. The bare domain routes a visitor to a local storefront by network location, which is why a comparison project has to pin each storefront explicitly rather than trust the address bar.
Scraping supplement products from iHerb.com with full details, including descriptions and packaging variations.
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Daily scraping of lowest prices for 150K products on Allegro.pl to support marketplace pricing and margin optimization.
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Regular monitoring of Ralph Lauren clothing, footwear, and accessories sold across Amazon subdomains: AE, DE, ES, FR, IT, NL, PL, UK.
Learn MoreLearn 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 web scraping agency. We build the crawler, run it on our own infrastructure, watch it when the shop changes shape, and hand over data instead of code. Marketplaces with a variant explosion are a shape we know well: colour-level ids, size-level skus, per-warehouse stock and coupon-layered prices get the same careful treatment on every site we cover. Scope, sample and schema come before any invoice, and the sample is real rows pulled from the live storefront, never a mock.
Not for buyers. Shein runs a developer open platform, but it is built for merchants selling on the marketplace: publishing products, managing orders and printing shipping labels through its OpenAPI. It needs a seller account and returns your own listings, not the catalogue, and there is no documented public endpoint that hands out product, price, stock or review data for other people's items. Our crawler reads the same public pages a shopper sees and returns a versioned feed with a fixed schema, so no field renames itself under your pipeline.
Any of them, and the join is cheap because a product keeps the same numeric goods id everywhere. One product page publishes 116 region and language alternates over 45 hosts, mixing subdomains such as us, de, fr, jp and br with country domains such as shein.co.uk, shein.se, shein.in and shein.com.mx. We return one row per storefront with its own currency and price, and since every amount is also written as a dollar figure, comparison needs no exchange rate table. Catalogue depth differs sharply by country, and we size a project on that rather than on a global count.
Linked the way the shop actually stores them. Each colour is a separate goods id with its own address, images and often its own title, so we return a style group that ties the colour siblings together. Under each colour, every size is a sku code with its own stock figure, and where a measurement table is published we return it as rows: the size, then the named dimensions in centimetres. You can take one row per sku, or one row per colour with the variants nested.
Daily is the normal cadence for a full sweep, and a watchlist of ids can run hourly. Frequency matters more here than on a slow catalogue, because new arrivals land every day, flash sales turn over inside hours and coupons expire on their own clock. Cost tracks sku count rather than style count, since a garment in five sizes and four colours is twenty price points. We usually pair a nightly full pass with frequent passes over a chosen category or seller list, and ship a change feed so you process only what moved.
We stay on public pages and take nothing that needs an account: no sign-in, no cart, no checkout, and none of the paths the shop closes to crawlers, which are the account, cart and challenge routes rather than the catalogue itself. Reviewer display names, review photographs and the body measurements attached to fit ratings are personal data and are dropped by default, leaving score, date, fit reading and text. Where the shop publishes nothing, such as per-warehouse cost or supplier identity, we say so instead of estimating it.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
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.
Step 4 - Maintain and Support
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.
Scrapeit Sp. z o.o.
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