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Learn MoreA guest on ferguson.com sees stock for the branch named in the header and a price on part of the catalogue. Our Ferguson scraper records both wherever the page prints them.
Plans from €169/month · Free project assessment · Reply within 1 business day
You describe the scope: categories, brands or your own list of manufacturer part numbers, the branches or ZIP codes to read them at, and how often. We build the extraction, run it and fix it whenever ferguson.com changes its pages. The site turns away traffic that comes too fast, so pacing, proxy rotation, rendering and CAPTCHA handling are part of the service.
The crawler sees ferguson.com as a visitor without an account does: one product page prints a price for a guest, the next shows a Log in or Create Account button or the words Call for Pricing in its place, and the dataset says which is which. Runs are one-off or scheduled (daily, weekly, on demand) and arrive as CSV, Excel or JSON files, over SFTP or Amazon S3, or through our API. Every project starts with a free assessment, and a sample is available to order.
Three codes sit on one line under the product name, and they are not interchangeable. Item # is the number Ferguson assigns, and the product address ends with it. Part # is Ferguson's catalogue code - often the maker's number with a brand prefix in front. Manufacturer Part # is the maker's own, the key that joins a row to another distributor's catalogue or to your item master. Fields in a Ferguson dataset:
When a page carries the notice This product has been replaced by, the replacement's name, brand and manufacturer part number are stored beside the retired item.
A product page answers for one item at one store. Categories, filters, promotions and the branch network are what turn those answers into a Ferguson price list.
Ferguson is a North American distributor headquartered in Newport News, Virginia. Its own summary of the range runs from plumbing, HVAC, appliances and lighting to PVF - pipe, valves and fittings - and water and wastewater products. It sells to trade professionals through local branches and through ferguson.com, and the home page sorts those customers by industry: Plumbing, HVAC, Commercial / Mechanical, Facilities Supply, Fire & Fabrication, Industrial, Builder and Waterworks.
Every page of ferguson.com is read from the standpoint of one store. The header reads You're Shopping, followed by a city and a street address, and stock on listings and product pages is quoted for that store and the ones near it. A visitor changes it in the Store Selector by ZIP code or by city and state. Locations come in types - Plumbing/PVF, HVAC, Waterworks, Mechanical/Industrial, Fire & Fabrication, Showroom - and each has a page of its own.
The catalogue mixes national manufacturers with Ferguson's own labels, among them FNW, PROFLO, PROSELECT, Raptor and Durastar. What a guest learns about price depends on the item. A ball valve or a length of PVC pipe carries a figure and an Add to Cart button; many air conditioners, heat pumps and furnaces under Residential Equipment carry only the login button, and the site keeps what it calls exclusive pricing for account holders. This page describes the guest view alone. Home shoppers are sent to Ferguson Home, a separate site that is not covered here.
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Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →Ferguson keeps its exclusive pricing for account holders, so the figure it prints for any visitor is the number a competitor, a supplier and a customer can all point to. Read with the branch quantities beside it, the catalogue supports several kinds of work.
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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 data collection as a managed service: you describe the dataset, and we build, run and repair the crawlers behind it. On Ferguson the care goes into details that are easy to get wrong - three part numbers that must each land in their own column, a price quoted per piece on one item and per twenty feet on the next, and a price position that sometimes holds no figure at all. Field documentation comes with every dataset.
Plans start from EUR 169 a month, or EUR 199 for a one-time extract. We never log in and never go behind paywalls, and personal data is handled under GDPR.
Yes. The ScrapeIt Ferguson API returns Item #, Part #, Manufacturer Part #, brand, the price with its unit of measure, the price status and the Pick Up quantity by branch 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. Anyone can open Ferguson product pages, specification tables and branch pages and, on part of the catalogue, see a price and availability, all without an account. We collect only publicly available data - everything a visitor can see on Ferguson - and we collect it legally. Prices that appear only after signing in are never collected, because we never log in.
For every item whose page prints one. A guest sees a figure on part of the catalogue; elsewhere the price position holds a Log in or Create Account button or the words Call for Pricing. Those rows arrive with their identifiers and specifications, an empty price and a status that says why, and we never log in to fill it.
Yes. Give us branch addresses or ZIP codes and the items or categories to watch, and each run reads them at every branch on the list. Rows are keyed on item number and branch and stamped with the run date, so a daily or weekly schedule becomes a price history with availability beside it.
By the Manufacturer Part #, printed under the product name, and by the UPC where the specification tables list one. Ferguson's own Part # often adds a brand prefix to the maker's number, so it goes into a separate column and is not used as the join key. Send us your part list and we return the items found on the site, each with the code it was matched on.
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.
Ferguson data from €169/month. Free project assessment, reply within 1 business day.
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