We extract industrial product catalogues, MPNs, technical specifications, list pricing, and inventory signals from Wesco. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Product Base Data objects from wesco.com. All fields typed and schema-versioned.
"sku": "7845642100", "mpn": "HBL5262C", "upc": "783585435205", "brand": "Hubbell Wiring Device-Kellems", "title": "Hubbell HBL5262C Duplex Receptacle", "category_path": "Electrical > Wiring Devices > Receptacles", "product_status": "Active"
| # | sku | mpn | upc | brand | title | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Technical Specifications objects from wesco.com. All fields typed and schema-versioned.
"sku": "7845642100", "voltage": "125V", "amperage": "15A", "material": "Nylon", "color": "Brown", "mounting_type": "Flush", "certification": "UL Listed, CSA Certified"
| # | sku | mpn | voltage | amperage | material | dimensions |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Availability objects from wesco.com. All fields typed and schema-versioned.
"sku": "7845642100", "list_price": 14.5, "currency": "USD", "uom": "EA", "minimum_order_qty": 1, "standard_pack_qty": 10, "stock_status": "In Stock", "lead_time_days": 2
| # | sku | list_price | currency | uom | minimum_order_qty | standard_pack_qty |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Taxonomy & Navigation objects from wesco.com. All fields typed and schema-versioned.
"category_id": "cat100245", "category_name": "Duplex Receptacles", "parent_category": "Receptacles", "breadcrumbs": "['Electrical', 'Wiring Devices', 'Receptacles', 'Duplex']", "total_products": 4512, "last_updated": "2026-05-12T09:14:00Z"
| # | category_id | category_name | parent_category | breadcrumbs | facet_attributes | total_products |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Compliance & Shipping objects from wesco.com. All fields typed and schema-versioned.
"sku": "7845642100", "unspsc_code": "39121406", "country_of_origin": "US", "rohs_compliant": true, "hazmat_flag": false, "weight_lbs": 0.25, "freight_class": "65"
| # | sku | unspsc_code | country_of_origin | rohs_compliant | reach_compliant | hazmat_flag |
|---|---|---|---|---|---|---|
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Our Wesco scraper handles deep category hierarchies, complex unit-of-measure pricing logic, and unstructured technical specification tables—delivering normalised data ready for your PIM or pricing engine.
Extract MPN, UPC, brand, and descriptions across millions of electrical and industrial SKUs.
Parse unstructured HTML spec tables into clean JSON key-value pairs for dimensional and electrical attributes.
Capture URLs for PDF datasheets, installation manuals, and high-resolution product images.
Extract public list pricing alongside exact units of measure (UOM) and minimum order quantities.
Monitor stock status, lead times, and availability indicators across Wesco's distribution network.
Map alternative products, replacements, and cross-reference MPNs suggested by Wesco.
Capture UNSPSC codes, RoHS/REACH compliance flags, and Prop 65 warnings.
Traverse deep taxonomy hierarchies and extract filterable facet attributes per category.
Maintain a hash index of last-seen values. Subsequent runs only push diffs to reduce processing load.
Extract catalogues from Wesco US, Wesco Canada, and specific regional sub-domains.
Brief in. Clean data out.
Provide target categories, manufacturer lists, or MPNs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for wesco.com.
Schema validation, null-rate checks, and unit-of-measure normalisation before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
MRO scraping involves massive taxonomies and complex specification tables. Here is how we maintain data integrity at scale.
Wesco's catalogue is deeply nested. We traverse thousands of sub-categories and facet combinations to ensure 100% SKU discovery, mapping parent-child relationships accurately.
Spec tables vary wildly between electrical components and safety gear. We parse and normalise unstructured HTML tables into clean JSON key-value pairs, maintaining attribute consistency.
Pricing is tied to complex UOMs (per 100, per foot, per spool). We extract pricing alongside exact UOM and standard pack quantities to prevent critical calculation errors downstream.
Branch availability and lead times load via asynchronous JavaScript requests. We use Playwright to intercept the underlying API calls, capturing accurate stock signals.
Wesco employs commercial bot mitigation. We route requests through residential proxies and spoof TLS fingerprints to maintain high throughput without triggering blocks.
Industrial distributors track Wesco list prices and UOM logic to adjust their own pricing algorithms.
Manufacturers and brands enrich their Product Information Management (PIM) systems with Wesco's structured technical specifications.
Procurement teams track lead times and branch availability to anticipate shortages of critical electrical components.
Data teams map alternative MPNs and replacement parts to build comprehensive cross-reference engines.
Analysts track brand representation and SKU counts across categories to measure market penetration.
Compliance teams extract RoHS, REACH, and UNSPSC codes to audit their own supply chain databases.
"Wesco holds one of the most comprehensive electrical and MRO catalogues in North America, but extracting normalised technical specifications across millions of MPNs requires purpose-built infrastructure."
MRO scraping is notoriously complex due to deep category hierarchies, inconsistent specification tables, and unit-of-measure pricing logic. DataFlirt handles the heavy lifting—from traversing facet trees to normalising unstructured HTML tables—so your procurement and pricing teams get clean, queryable data without managing crawlers.
Everything supported by our wesco.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and retry logic. Playwright handles JavaScript rendering for dynamic inventory and pricing widgets.
We maintain pools of residential ISP proxies across US/CA regions to bypass commercial bot mitigation systems.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About wesco.com scraping, legality, and pipeline operations.
Ask us directly →No. We extract public list prices and UOM data. Contract pricing is account-specific and gated behind authentication walls, which we do not circumvent.
Our pipelines use custom parsers to map unstructured HTML tables into standardised JSON key-value pairs, normalising attributes like voltage, dimensions, and material across different categories.
We extract the direct URLs to PDF datasheets, CAD files, and installation manuals. We do not host the PDFs, but provide the links for your systems to ingest.
Full catalogue refreshes typically run weekly or monthly due to the massive SKU volume. Targeted subsets (e.g., specific brands or categories) can be refreshed daily.
Yes. We can configure the crawler to simulate location contexts, extracting stock status and lead times for specific regional distribution centres.
UOMs (Unit of Measure) are critical in MRO data. We strictly bind the extracted price to its corresponding UOM and standard pack quantity, applying schema validation rules to flag anomalies before delivery.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or a continuous price-monitoring feed across millions of MPNs — we scope, build, and operate the pipeline. Tell us what you need.
