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 MoreShop.app puts the products of independent Shopify stores behind one search box. Our Shop.app scraper returns them as rows: product, variant, store, price and rating.
Plans from €169/month · Free project assessment · Reply within 1 business day
Shop.app has no page that lists everything: what a visitor gets depends on the query, the category and the store. You give us that scope - search phrases, category branches, a list of stores or product addresses - and we build the crawlers, run them and fix them when the Shop interface changes. Pages are rendered by script and tuned to the visitor, so rendering, pacing, proxy rotation and CAPTCHA handling come with the service.
We fix the visitor country for every run, because it decides the currency on screen and the Ships to filter. Output goes out once or on a schedule you choose, as CSV, Excel, JSON or JSONLines, to Amazon S3, Google Cloud Storage, FTP or e-mail, through our API, or as a JSON feed.
A product address on Shop.app holds two numbers: the product id after /products/ and the variantId of the colour or size on screen. Both come from the store's own Shopify catalogue, and together they keep a row stable from run to run. From a product page we collect:
Search and category cards repeat the core of this - store, title, rating count, price, compare-at price and discount - so a wide scan can run on cards alone and open product pages only where variants and reviews are needed.
Beyond the single product, three kinds of pages hold the market view.
Repeated runs on fixed product and variant ids give Shop app prices over time: a price history, how long a compare-at price stays crossed out, when a variant sells out and returns, and how rating counts grow. A store's row count from week to week shows launches and delistings. Review texts can follow the same schedule, without reviewer names.
Shop is the consumer shopping site and mobile app of Shopify Inc. Shopify powers independent online stores; Shop gathers the products of those stores into one place and describes itself as a way to shop millions of them. On the web it grew up at shop.app; the same pages now open on shop.com under identical product ids, and a browser that asks for a shop.app address is taken there.
It is a marketplace without a warehouse. Every product belongs to a store, and the store sets the price and the currency, ships the order and writes its own return and shipping policy. Shop adds the layer on top: one search across stores, category browsing, ratings gathered per product and per store, Shop Pay checkout and order tracking.
A visitor who is not signed in can search, open categories, read product pages with reviews and browse the page of any store. Deals, orders, the cart and followed stores are tied to an account, and we leave them alone. The interface comes in more than a dozen languages, from English, Spanish and German to Japanese and Polish, and prices appear in the store's currency or converted for the visitor's country - a detail that matters as soon as two runs are compared.
Get a QuoteDevelopers
Customers worldwide
Pages extracted
Hours saved for our clients
€199 / one-time
setup fee - included
€169 / mo
setup fee €499
€229 / mo
setup fee €499
€349 / mo
setup fee €499
€549 / mo
setup fee €799
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →Shop is one of the few places where direct-to-consumer brands that sell only through their own Shopify stores can be read side by side. Retail teams compare prices on the Shop app for the reason shoppers do: the stores are finally on one page.
The usual answer to how to scrape Shop.app stops at the search page; the value is in joining search, product and store pages on the ids they share.
Scraping supplement products from iHerb.com with full details, including descriptions and packaging variations.
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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 web scraping agency: clients describe the data, we write the crawlers, operate them and hand over the dataset with field documentation. Nothing is installed on your side.
Aggregators like Shop.app are a familiar shape of project for us - many independent stores behind one interface, each with its own currency, variants and policies. We never sign in to an account, and reviewers' names and other personal details stay out of the files. The project assessment is free and a sample can be ordered first.
Yes. The ScrapeIt Shop.app API returns product id, variant id, title, store name, price, compare-at price, currency, rating and availability as JSON from an endpoint we host, refreshed on the schedule you set. The same data also comes as CSV or XLSX files, a JSON feed or straight into your database.
Yes. Search results, category pages, product pages and store pages open in a browser without signing in. We collect only publicly available data - everything a visitor can see on Shop.app - and we collect it legally.
Yes. Product pages show the average rating, the number of ratings, the split across five star levels and review texts with their dates; store pages show the store's overall rating and review total. Reviewers' first names are personal data, so the files keep the text and the date of each review and drop the name.
Yes. Each store has its own page with collections and a product grid that can be narrowed to on-sale or in-stock items, and we walk it to the end. The result is that store's catalogue with variants, prices and ratings, and the run can be repeated for a list of competing brands.
Deals, orders, carts, saved items and followed stores belong to a signed-in shopper, and we never log in. Everything that opens without an account - search, categories, products, stores and reviews - is in scope. Plans start from EUR 169 a month, or EUR 199 for a one-time extract.
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.
Shop.app data from €169/month. Free project assessment, reply within 1 business day.
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