We extract B2B hardware listings, software licensing tiers, pricing signals, inventory depth, and MPNs from Connection. 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 IT Hardware Listings objects from connection.com. All fields typed and schema-versioned.
"sku": "41528392", "mpn": "21A0004NUS", "title": "Lenovo ThinkPad P14s Gen 3 Mobile Workstation", "brand": "Lenovo", "price": 1429.0, "in_stock": true, "condition": "New", "unspsc_code": "43211503"
| # | sku | mpn | title | brand | category | sub_category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Volume Tiers objects from connection.com. All fields typed and schema-versioned.
"sku": "41528392", "price": 1429.0, "list_price": 1899.0, "discount_pct": 24.7, "volume_tier_1_qty": 10, "volume_tier_1_price": 1399.0, "price_timestamp": "2026-05-12T10:15:00Z"
| # | sku | price | list_price | discount_pct | currency | volume_tier_1_qty |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Specifications objects from connection.com. All fields typed and schema-versioned.
"sku": "41528392", "processor_type": "Intel Core i7", "ram_installed": "16 GB", "storage_capacity": "512 GB", "storage_type": "SSD", "operating_system": "Windows 11 Pro", "display_size": "14 inch"
| # | sku | processor_type | processor_speed | ram_installed | ram_max_supported | storage_capacity |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Software & Licensing objects from connection.com. All fields typed and schema-versioned.
"sku": "38192011", "software_title": "Microsoft 365 Business Standard", "publisher": "Microsoft", "license_type": "Subscription", "subscription_term": "1 Year", "delivery_method": "Electronic Download", "price": 150.0
| # | sku | software_title | publisher | license_type | license_qty | subscription_term |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from connection.com. All fields typed and schema-versioned.
"keyword": "cisco switch 24 port", "position": 3, "sku": "39281744", "brand": "Cisco", "price": 895.0, "availability_status": "In Stock", "scraped_at": "2026-05-12T10:16:22Z"
| # | keyword | position | sku | title | brand | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Connection scraper extracts deep technical specifications, manufacturer part numbers, and multi-tier pricing across the entire IT procurement catalogue.
Extract deep technical specifications including RAM, CPU, storage, and interface ports, mapped to standard schemas.
Capture Manufacturer Part Numbers (MPN) and UNSPSC codes for precise cross-referencing against your internal ERP systems.
Extract B2B bulk pricing tiers, list prices, and promotional discounts timestamped per crawl.
Monitor stock status, lead times, and backorder estimates across the hardware catalogue.
Track subscription terms, license quantities, delivery methods, and renewal pricing for enterprise software.
Distinguish between new, refurbished, and open-box items with specific warranty terms attached.
Track organic search positions for specific IT hardware keywords and brand queries.
Extract complex server build options and component compatibility matrices.
Run pipelines at daily cadences with change-detection diffing to monitor price and stock fluctuations.
Brief in. Clean data out.
Provide SKU lists, brand URLs, or category paths. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for connection.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 eCommerce sites present unique structural challenges. Here is how we maintain data integrity.
IT hardware specs vary wildly between manufacturers. We use heuristic mapping to normalise disparate specification tables into clean, queryable JSON fields for RAM, CPU, and storage.
Large categories often cap pagination. We recursively split search queries by brand, price range, and sub-category to ensure 100% catalogue coverage without hitting display limits.
Prices and stock levels are frequently hydrated via background API calls after the initial page load. We use Playwright to wait for network idle states to capture the true rendered price.
For large SKU catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs — reducing compute cost and downstream processing load.
We use US-based residential ISP proxies with realistic browser fingerprints to avoid rate-limiting during high-volume catalogue extraction.
Enterprise procurement teams track hardware pricing trends and availability to optimise purchasing cycles.
B2B IT resellers monitor Connection's pricing strategies and volume discounts to adjust their own margins.
Hardware manufacturers verify that their products are listed with accurate specifications and MAP compliance.
eCommerce sites extract MPNs, UNSPSC codes, and technical specs to enrich their own product databases.
Analysts track brand representation and SKU counts across specific hardware categories.
Distributors monitor stock availability and backorder statuses to predict supply chain bottlenecks.
"Connection's catalogue contains the definitive B2B IT hardware matrix — mapping MPNs to real-time availability and volume pricing across thousands of brands."
Extracting B2B procurement data requires handling complex variant structures, multi-tier pricing, and deep technical specification tables. DataFlirt manages the proxy rotation, session handling, and schema normalisation so your engineering team receives clean, queryable data without the operational overhead.
Everything supported by our connection.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across US regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About connection.com scraping, legality, and pipeline operations.
Ask us directly →Yes. MPNs and UNSPSC codes are explicitly targeted and extracted for every hardware and software listing, ensuring you can cross-reference the data with your internal ERP.
Connection provides detailed but often inconsistently formatted technical specification tables. We extract the raw table data and apply heuristic mapping to normalise key attributes like RAM, processor speed, and storage capacity into standard JSON fields.
Yes. If an item displays volume pricing (e.g., lower price for 10+ units), we extract the quantity thresholds and corresponding prices into a structured array.
No. DataFlirt extracts publicly available list prices and standard B2B volume tiers. We do not circumvent authentication to scrape custom negotiated pricing tied to specific corporate accounts.
Pipelines can be configured to run daily or hourly depending on your requirements. Stock status and availability text are captured exactly as displayed at the time of the crawl.
Yes. We provide a sample run of up to 500 SKUs as part of the pre-engagement scoping process to validate schema fit and field completeness.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off IT catalogue dump or a continuous price-monitoring feed across 500K SKUs — we scope, build, and operate the pipeline. Tell us what you need.
