Electrical Components & Equipment · RS Group
RS Components (RS Online) Product Catalog Data
Datadory delivers rs components rs online product catalog data covering roughly 750,000-800,000 industrial MRO products across about 38 localized country storefronts - automation and control gear, fuses and circuit breakers, cables, sensors, power supplies and tools - each line carrying RS stock number, manufacturer part number, brand, local-currency price with breaks and warehouse stock. Delivered daily, weekly, or hourly.
API, files, or your warehouse. Daily, weekly, or hourly.
- Where it covers
- About 32-38 country storefronts across Europe, North America, North/South Asia, Australasia, South America, Africa and the Middle East - the UK site the deepest reference catalog, each market priced in its own currency
- How far back
- Live catalog snapshot - prices and stock refresh continuously, so history accrues through repeated capture on your chosen cadence rather than from any archive
- How fine
- Individual SKU level with quantity price breaks and regional-warehouse availability - one line per part per storefront
What is the RS Components (RS Online) product catalog dataset?
RS Components is the high-service distributor layer of the electrical trade: RS Group plc, formerly Electrocomponents, headquartered in Corby, UK, selling to design, manufacturing and maintenance engineers across roughly 32 countries through localized online storefronts - a UK flagship plus about three dozen sibling country sites, each merchandised and priced for its own market. As a dataset, the catalog becomes one flat table of catalog lines.
Scale first. RS's own figures bracket the assortment: the UK storefront advertises on the order of 800,000 products, while the group's structured-data description cites access to 750,000 industrial products. This page carries both numbers rather than splitting the difference, because the honest state of a living catalog is a range.
What makes the record distinct inside its slice is which 750,000. The electronics catalogs in this industry - Digi-Key, Avnet, Farnell, Newark - lean semiconductor. RS's depth sits in the installation and maintenance shelf: Automation & Control Gear, Fuses & Circuit Breakers, Electrical & Industrial Cables spanning power, EV charging, control and sensor/actuator types, Extension Leads & Cable Reels, plus relays, sensors, power supplies and tools - with RS own-brand lines sitting beside manufacturer brands in the same table.
Within Datadory's catalog - 1,744 datasets averaging 7.81 on our rubric, with the Electrical Components & Equipment slice averaging 7.23 across 22 records - this one scores 5/10: dented mainly because the field dictionary below was inferred from the publisher's own storefront structure rather than transcribed off delivered records, and because the size figure is publisher-claimed rather than counted. Both caveats are declared here rather than discovered later. Get a sample of this dataset scoped to your categories and markets.
What do sample rows look like?
One catalog line, shaped as delivered:
# one catalog line - delivered shape, values illustrative until your sample lands
stockNumber : <rs stock number>
manufacturerPartNumber : <manufacturer part number>
brand : <maker brand or rs own-brand>
category : Fuses & Circuit Breakers
price : <unit price, storefront currency> # quantity breaks ride along
stockLevel : <units at regional warehouse>
# the same part on a second storefront - keys hold, currency follows the market
stockNumber : <same rs stock number>
price : <local-currency unit price>
# documentation and compliance travel beside the commerce columnsRead the anatomy rather than the placeholders. stockNumber keys the line inside RS's own numbering and travels unchanged across every country storefront the part lists on, while manufacturerPartNumber ties it outward to the maker's numbering, any bill-of-materials tool and every other distributor file in the slice. brand separates third-party stock from RS own-brand lines - a distinction that matters the moment you analyze private-label share. price arrives in the selected storefront's local currency with quantity breaks attached, and stockLevel answers can I get this this week at regional-warehouse grain. The second block shows why multi-market work stays sane: same key, different currency, no re-modeling. datasheet and rohs_reach close each line back to the maker's own paperwork.
What fields does the RS components rs online product catalog data include?
Six documented columns anchor every line, defined in the table below. Two of them do the joining - stockNumber inside this catalog, manufacturerPartNumber everywhere else. Two carry the commercial reality - price with its breaks and stockLevel at warehouse grain - while brand splits own-label from maker stock and category files the line into the merchandising tree.
Additional fields on request: datasheet references, RoHS/REACH declaration references, fuller price-break ladders, multi-storefront rollups of the same stock number, and own-brand versus manufacturer-brand flags. Their exact shapes pin down against live records when your sample is cut - which is also where column naming locks for your pipeline.
What does coverage look like across geography, time and granularity?
- Geography - about 32-38 country storefronts spanning Europe, North America, North/South Asia, Australasia, South America, Africa and the Middle East, with the UK site as the deepest reference catalog and roughly 32 countries served overall. Each market lists and prices in its own language and currency - which is precisely what makes the same stock number a usable cross-market join key.
- Temporal window - a living catalog. Prices and stock refresh continuously, and the assortment moves with the trade, so the rows describe what buyers can order now. There is no historical archive behind the shelf; longitudinal views come from scheduled deliveries diffed against each other, which is exactly what the cadence you pick builds.
- Granularity - individual SKU level with quantity price breaks and regional-warehouse availability. One line per part per storefront: atomic enough for BOM pricing, shortage scanning and assortment benchmarking without pre-aggregation getting in the way.
Set against the wider Datadory catalog - average quality score 7.81 across all 1,744 datasets - this slice holds 22 records averaging 7.23, and this one scores 5/10 on the two declared limitations above rather than on anything wrong with the underlying shelf.
How is the data delivered?
API, files, or your warehouse. Daily, weekly, or hourly.
Pick the channel your team already works in and set the cadence to match the decision you feed. Hourly suits shortage watch, where a breaker's stock count can move between Monday standup and Wednesday quoting. Daily suits BOM repricing and competitor assortment tracking across whole categories. Weekly suits quarterly market benchmarking, where the trend matters more than any single sticker.
Because every delivery reuses the same six-column dictionary, snapshots concatenate into clean stock-and-price time series without remapping - your join keys stay stable whichever cadence you pick, and currency handling gets pinned per storefront in the same pass that locks column names. Name the categories, brands or countries you care about and the sample comes back shaped exactly like the dictionary above, before any commitment.
Who uses this data, and for what?
Ranked by how directly one line settles their day job:
- Maintenance and procurement teams resolve spares fast - manufacturer part number in, stocked equivalents and warehouse counts out - and price kits at shelf reality rather than stale quotes (price monitoring).
- Competitive intelligence and product teams benchmark rival stocking depth and price moves part by part across the storefront network (competitor tracking).
- Supply chain analysts read thinning availability across protection, cable and control-gear categories as the earliest allocation signal there is.
- Data scientists and ML engineers build demand and pricing models from part-number-keyed panels spanning multiple currencies (ml model training).
- Market researchers and consultants size the electrotechnical channel by brand presence and category depth per country (market sizing) - shelf counts instead of shipment proxies.
- Compliance officers assemble RoHS/REACH evidence per SKU from the document references riding beside each line.
Which personas get the most value?
Component engineers and procurement teams lead: shelf reality per part number before the PO goes out. Competitive intelligence and product teams track rival assortment and pricing week over week (competitive intel product teams use cases). Data scientists and ML engineers load typed stock-and-price panels as training data (data scientists use cases). Developers and builders ship sourcing and alerting tools off one stable six-field spine (developers builders use cases). Supply chain analysts, market researchers and sales growth teams round out the pack - allocation signals, category-depth benchmarks and territory targeting respectively.
Which datasets sit next to this one?
Inside the Electrical Components & Equipment slice, the neighbors answer different questions, and mixing them up is how sloppy component analysis gets written. The Digi-Key Electronics Product Catalog owns the semiconductor end of the trade, with its Product Information V4 interface alongside; the Avnet electronics catalog spans OEM volume distribution and the prototype counter under one parent; and the Voltimum electrical products portal carries the European professional channel with ETIM classification on every row. What this record uniquely spans is the MRO and installation shelf - circuit protection, industrial cable, control gear, power supplies - across a few dozen localized markets under one stock-numbering scheme. For context around the shelf: ECIA electronic component sales data measures bookings and sentiment across the industry, and UL Product iQ adds the certification layer that joins onto safety-relevant SKUs. The full sweep lives at best electrical-components-equipment datasets and the electrical components equipment data hub.
Field dictionary
Every field below is documented against real records. The full dictionary ships with the sample.
| field | type | definition | example |
|---|---|---|---|
stockNumber | string | RS stock number identifying each catalog line item - the distributor's own identity key, stable across every country storefront the part lists on. | |
manufacturerPartNumber | string | Manufacturer's part number for the product - the join key into BOM tools, maker master data and every other distributor catalog in the slice. | |
brand | string | Manufacturer or RS own-brand name behind the line - the column that separates third-party stock from RS's private-label range. | |
price | number | Unit price in the selected storefront's local currency, typically carrying quantity price breaks - landed-cost arithmetic at real order sizes, not a single sticker. | |
stockLevel | integer | Quantity available at the regional warehouse backing that storefront - availability at location grain, so shortage reads before allocation bites. | |
category | string | Merchandising category path the line is filed under - automation and control gear, fuses and circuit breakers, cables, power supplies and the rest of the tree. | Fuses & Circuit Breakers |
What teams do with it
- MRO sourcing and spares cross-referencing Resolve a worn-out part to stocked equivalents by manufacturer part number and brand, with warehouse-grain availability answering 'can maintenance run this week' before the work order goes out.
- Cross-market price and availability comparison The same stock number lists on dozens of localized storefronts in local currencies - one panel of scheduled captures turns that into a defensible cross-country price and stock view.
- Distributor assortment benchmarking Category-path counts per brand measure how deep a rival's circuit-protection or cable offering runs in a given market - competitive mapping without a single survey email.
- Bill-of-materials and kit pricing at shelf reality Price a parts list on observed unit prices with quantity breaks rather than last quarter's quotes, denominated in the currency the project actually settles in.
- Compliance-document assembly Datasheet references and RoHS/REACH declarations ride beside the commerce columns, turning environmental evidence gathering from a per-supplier correspondence chain into a filter.
- Shortage and allocation watch Warehouse-level stock counts read over time thin out before shortages reach quoting - the earliest signal a distribution catalog gives, on whatever cadence you choose.
Questions buyers ask
How many products does the RS components rs online product catalog data cover?
RS's own figures bracket it: the UK storefront advertises on the order of 800,000 products, while the group's structured-data description cites access to 750,000 industrial products. The honest reading is a range - roughly 750,000 to 800,000 lines group-wide - because a living assortment resists a single stable count.
Which countries and markets does coverage span?
About 32-38 localized country storefronts across Europe, North America, North/South Asia, Australasia, South America, Africa and the Middle East, serving roughly 32 countries in total. The UK site is the deepest reference catalog, and each market lists and prices in its own language and currency.
What does one row of the dataset contain?
Six documented fields: the RS stock number keying the line, the manufacturer part number tying it to maker master data, the brand separating own-label from manufacturer stock, the unit price in the storefront's local currency with quantity breaks, the warehouse-level stock count, and the merchandising category path.
Does the data include prices and stock levels together?
Yes - every line carries a unit price with quantity price breaks in the selected market's currency beside an integer stock count at the regional warehouse backing that storefront. Reading both together is what makes shortage watching and landed-cost arithmetic possible without a second source.
How well documented is the schema?
Six fields with written definitions, compiled from the publisher's own storefront structure during the August 2026 research pass rather than transcribed off delivered records - declared openly because provenance is a fact, not an apology. Definitions ship confirmed against the records in your sample when it is cut.
Can I evaluate the fields and row shapes before committing?
That is the point of the sample. Name the categories, brands, countries and cadence you need, and Datadory returns rows shaped exactly like the dictionary above, cut against live records. Column naming locks at that stage, currency handling is pinned per storefront in the same pass, and nothing commits before the sample validates.
See the rows before you pay anything.
Name this dataset and we send real records from it — scoped to the fields you asked for.