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 1stDibs a sofa, a ring and a painting each come with their own labeled facts - period, materials, creator, dealer. Our 1stDibs scraper keeps each fact in its own column.
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
1stDibs pages, filters, fields and a schedule
Built, monitored and repaired by our team
API, JSON feed or CSV, XLSX and JSON files
You choose the slice of 1stDibs that matters - categories such as sofas or engagement rings, creators, styles, periods, dealer storefronts or New Arrivals - and our team sets up the crawlers, runs them and keeps them working when the site changes. Rendering, pacing, proxy rotation and CAPTCHA handling are part of the service.
Each department speaks its own vocabulary, so the schema bends with it: a sofa has dimensions and Materials and Techniques, a ring has metal, weight and ring size, a painting has medium and creation year. We keep a shared core - title, price, creator, period, condition, dealer - and add the department fields as their own columns, with dimensions split into numbers in inches and centimeters. Extracts run once or on a schedule you set, after a free project assessment and a sample.
A 1stDibs item address ends in id- plus a letter and a number - f_ for furniture, a_ for art, j_ for jewelry, v_ for fashion - and the page prints a Reference Number of the form 1stDibs: LU followed by digits, often beside the seller's own stock number. Both go into every row. Under About the Item the page lists labeled details that change with the category:
Category cards carry title, creator, location, category line and materials, which gives a lighter row when full item pages are not needed.


The catalog is deep and finely filtered, so coverage is planned rather than crawled at random. A category such as sofas can be cut by price band, On sale, Item Location, Item type (New and Made To Order, Antique and Vintage, 21st Century Pre-Owned), dimensions, Number in Set, Style, Period down to the decade, Material, Color, Place of Origin, Availability (In Stock Now or In Stock Within 6 weeks) and Creator, with switches for This Week's Listings Only, Recognized Seller Listings and Top Seller Listings. The facet counts are data too: they show how a category splits by period or origin.
1stDibs is a marketplace for design, art and luxury goods, run by 1stDibs.com, Inc. Its sellers are professionals: every listing comes from a dealer, gallery, jeweler or studio that has passed the platform's vetting, and the site marks the strongest of them as Recognized or Platinum sellers. Pieces are new, made to order, antique, vintage or pre-owned, and the top menu files them under Furniture, Lighting, Art, Jewelry, Watches and Fashion, with New Arrivals and a Sale section alongside.
Inside each department the site is organized three ways at once: by category (seating, sofas, rings, paintings), by style (Mid-Century Modern, Art Deco, Scandinavian Modern) and by creator or designer. Iconic designs such as the Hermès Birkin or the Patek Philippe Nautilus have pages of their own. Most sofa listings are located in Europe or the USA, prices can be shown in a range of currencies, and the site runs French, German, Italian and Spanish versions next to the English one.
An editorial layer - Introspective Magazine, The 1stDibs 50 list of interior designers, curated edits for gifts and rooms - sits on top of the shop.
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan detailsWhy are 1stDibs prices so high for one piece and modest for its neighbour? The answer sits in the labeled fields: creator, period, condition, materials and the dealer behind it. Collected at scale, they turn a luxury catalog into a price model.
Full MRO catalogs from Grainger, Fastenal and Cromwell for a product content company: UNSPSC, EAN, every attribute and a taxonomy sheet.
Every seller shop on bol.com with its trade name, business address, KvK and VAT number, collected once: 72,961 shops in 18 days.
A one-time B2B lead file from Amazon seller profiles: 51,216 sellers with business name and address, 13,366 of them in the US and Canada.
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 runs web scraping as a managed service: we design, run and repair the crawlers and deliver the data on your schedule. Plans start from EUR 169 a month, or EUR 199 for a one-time extract. High-end marketplaces like 1stDibs reward care - category-specific schemas, attributions kept exactly as the dealer wrote them, prices kept with their currency. Field documentation comes with each dataset; dealer and gallery data is business data, and reviewers' personal details are left out by default.
Still unsure? Write to info@scrapeit.io
Yes. The ScrapeIt 1stDibs API returns item id, reference number, title, creator, period, the asking price or Price Upon Request flag, and the dealer with its location as JSON from an endpoint on our side, at the interval you choose. You can also have the same records as CSV or Excel files, as a JSON feed, or delivered to Amazon S3 or your database.
Yes. Item pages, prices, dealer storefronts, creator pages and seller ratings are open to any visitor, no sign-in needed. We collect only publicly available data - everything a visitor can see on 1stDibs - and we collect it legally. Where a dealer publishes no figure, the row carries the Price Upon Request flag instead.
Yes. Every seller has a storefront under /dealers/ with its full inventory, and the item page adds the dealer's rating, review count, location, Established in year, 1stDibs seller since year, number of sales and typical response time. Dealers and galleries are businesses, so their names come with the data; reviewers' names are dropped by default.
The US site quotes in USD, and each item page also carries converted prices in currencies including EUR, GBP, CHF, CAD and AUD. French, German, Italian and Spanish versions translate titles and labels, and their result counts differ slightly from the English site. We collect the version and currency you need and keep the USD price beside it.
It depends on what you track. Weekly runs are usual for valuation work across furniture and art; daily runs suit the Sale section and New Arrivals, which change by design. Each run compares prices by item id, so cuts, moves into Sale and pieces that leave the catalog are dated.
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.
1stDibs data from €169/month. Free project assessment, reply within 1 business day.