We extract IT hardware specifications, B2B pricing signals, software licensing terms, and stock availability from CDW. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your schedule.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Hardware Specifications objects from cdw.com. All fields typed and schema-versioned.
"cdw_part_number": "7000001", "manufacturer_part_number": "20W0004NUS", "unspsc": "43211503", "brand": "Lenovo", "product_name": "ThinkPad T14 Gen 2", "category": "Computers", "product_type": "Notebook"
| # | cdw_part_number | manufacturer_part_number | unspsc | brand | product_name | category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Availability objects from cdw.com. All fields typed and schema-versioned.
"cdw_part_number": "7000001", "advertised_price": 1249.99, "list_price": 1499.99, "discount_pct": 16, "stock_status": "In Stock", "fulfillment_time": "Ships today"
| # | cdw_part_number | advertised_price | list_price | discount_pct | stock_status | fulfillment_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Software & Licensing objects from cdw.com. All fields typed and schema-versioned.
"cdw_part_number": "6000002", "software_name": "Microsoft 365 Business Standard", "vendor": "Microsoft", "license_type": "Subscription", "subscription_term": "1 Year", "delivery_method": "Electronic Download"
| # | cdw_part_number | software_name | vendor | license_type | user_count | subscription_term |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for CDW Outlet objects from cdw.com. All fields typed and schema-versioned.
"cdw_part_number": "5000003", "condition": "Refurbished - Grade A", "warranty_status": "90 Days", "outlet_price": 450.0, "new_price": 899.0, "savings_pct": 50
| # | cdw_part_number | condition | warranty_status | outlet_price | new_price | savings_abs |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from cdw.com. All fields typed and schema-versioned.
"keyword": "cisco switch 48 port", "position": 1, "cdw_part_number": "4000004", "brand": "Cisco", "advertised_price": 2345.0, "scraped_at": "2026-05-12T09:14:33Z"
| # | keyword | position | cdw_part_number | product_name | advertised_price | brand |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our CDW scraper handles every layer of the catalogue: hardware specifications, dynamic B2B pricing, software licensing rules, and stock availability — with JavaScript rendering and anti-bot circumvention built in.
Product names, detailed descriptions, dimensions, weight, and every technical specification field CDW surfaces — scraped at the item level.
Capture advertised price, list price, and discount percentages. Track pricing changes across hardware and software categories.
Parse complex, nested HTML tables containing technical specifications, normalising them into flat, queryable JSON structures.
Extract Manufacturer Part Numbers (MPN) and UNSPSC codes to map CDW listings directly to your internal IT asset management systems.
Monitor real-time stock status, expected shipping times, and warehouse availability for critical infrastructure components.
Track discounted, open-box, and refurbished inventory in the CDW Outlet, including condition grades and warranty terms.
Extract subscription durations, user counts, platform requirements, and delivery methods for enterprise software products.
Capture included warranty durations, extended support options, and manufacturer service level agreements.
Run one-off bulk exports or configure continuous pipelines at hourly or daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide categories, brands, or MPN lists. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for cdw.com.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
B2B IT distributors invest heavily in scraping detection to protect pricing data. Here is how we stay resilient.
CDW uses advanced Web Application Firewalls. Our crawlers use residential ISP proxies with realistic browser fingerprints and full cookie session management to bypass heuristic blocks.
Much of CDW's pricing and stock data is loaded asynchronously via JavaScript. We run full Playwright browser sessions to capture data that headless HTTP clients miss.
IT hardware specifications are buried in irregular HTML tables. Our extraction logic maps variable spec rows into predictable, strongly typed JSON fields.
For large IT catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, price outliers, and schema drift, responding before you notice.
Value-Added Resellers monitor CDW pricing to optimise their own quotes and maintain competitive margins on hardware bids.
Enterprise IT procurement teams ingest pricing and stock data to automate purchasing decisions and supplier selection.
Enrich internal asset databases with accurate MPNs, end-of-life dates, and detailed technical specifications.
Hardware manufacturers track how their products are priced and positioned against competitors on a major distributor platform.
Analysts track category saturation and brand dominance across CDW's extensive IT catalogue to estimate market trends.
Secondary market sellers monitor the CDW Outlet for underpriced refurbished gear to acquire and resell.
"CDW holds the definitive catalogue of enterprise IT hardware and software pricing, but extracting that data requires navigating complex tables and aggressive bot protection."
Most teams underestimate the investment required: reliable CDW scraping requires residential proxies, full JavaScript rendering for asynchronous pricing, and logic to normalise thousands of unique technical specification formats. DataFlirt absorbs that complexity so your engineers can focus on procurement analytics, not pipeline maintenance.
Everything supported by our cdw.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 and session management for dynamic pricing.
We maintain pools of residential ISP proxies to bypass CDW's WAF. Rotation happens per-request with sticky sessions where required.
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 cdw.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from CDW is generally permissible. DataFlirt targets only public, non-authenticated hardware, software, and retail pricing data. We do not extract personal data or circumvent authentication walls to access proprietary contract pricing. Clients should consult legal counsel for specific use cases.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for WAF blocks in real time and trigger pool rotation automatically.
Real-time streaming pipelines achieve sub-60-minute latency for price and stock signals on a defined part number set. Full category refreshes at daily cadence complete within a 4-8 hour window.
Yes. We extract the Manufacturer Part Number (MPN) and UNSPSC codes for nearly all hardware listings, allowing deterministic joins against your existing ITAM or ERP systems.
Our smallest packages start at a defined MPN list or category (typically 5,000-25,000 items) with weekly delivery. Contact us with your use case for a scoped quote.
Absolutely. We provide a sample run of up to 500 products as part of the pre-engagement scoping process so you can validate schema fit and data quality before signing any contract.
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 500K IT products — we scope, build, and operate the pipeline. Tell us what you need.
