We extract PC component listings, technical specifications, stock levels, and pricing from Novatech. Delivered as clean JSON, CSV, or Parquet to your warehouse on your defined schedule.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Component Listings objects from novatech.co.uk. All fields typed and schema-versioned.
"sku": "NV-4090FE", "title": "NVIDIA GeForce RTX 4090 24GB GDDR6X", "brand": "NVIDIA", "category": "Components", "sub_category": "Graphics Cards", "price_inc_vat": 1699.98, "stock_status": "In Stock", "mpn": "900-1G136-2530-000"
| # | sku | title | brand | category | sub_category | price_ex_vat |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Tech Specifications objects from novatech.co.uk. All fields typed and schema-versioned.
"sku": "AMD-7800X3D", "socket_type": "AM5", "base_clock": "4.2GHz", "boost_clock": "5.0GHz", "power_draw": "120W", "warranty_period": "3 Years", "memory_type": "DDR5"
| # | sku | form_factor | socket_type | chipset | memory_type | base_clock |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Stock objects from novatech.co.uk. All fields typed and schema-versioned.
"sku": "INT-14900K", "price_inc_vat": 589.99, "price_ex_vat": 491.66, "stock_level": "10+", "lead_time": "Next Day", "delivery_cost": 0.0, "timestamp": "2026-08-14T10:30:00Z"
| # | sku | price_inc_vat | price_ex_vat | discount_amount | stock_level | lead_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pre-built Systems objects from novatech.co.uk. All fields typed and schema-versioned.
"system_id": "SYS-ELITE-X", "name": "Novatech Elite X Gaming PC", "cpu": "Intel Core i7 14700K", "gpu": "RTX 4070 Ti Super", "ram": "32GB DDR5 6000MHz", "storage": "2TB NVMe SSD", "build_time": "5-7 Working Days"
| # | system_id | name | chassis | cpu | gpu | ram |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from novatech.co.uk. All fields typed and schema-versioned.
"review_id": "REV-99281", "sku": "COR-RM850X", "rating": 5, "author": "TechBuilder99", "date_posted": "2026-07-22", "verified_purchase": true, "review_text": "Quiet operation and stable voltages under load."
| # | review_id | sku | rating | author | date_posted | pros |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Novatech pipeline captures exact component specifications, manufacturer part numbers, and real-time stock levels required for IT procurement and market analysis.
Extract socket types, clock speeds, memory compatibility, and power requirements directly from technical specification tables.
Map Novatech SKUs to universal Manufacturer Part Numbers and EANs for cross-retailer price comparison.
Track exact stock statuses including 'In Stock', 'Pre-order', 'Awaiting Stock', and specific lead times.
Parse full build manifests for Novatech workstations and gaming PCs, breaking down individual components.
Capture both ex-VAT and inc-VAT pricing, essential for B2B procurement and accounting systems.
Maintain the full hierarchical breadcrumb trail for every component to understand taxonomy.
Monitor high-demand components like GPUs and CPUs with sub-hourly polling to catch stock drops.
Extract manufacturer and retailer warranty periods for hardware lifecycle management.
Identify and extract promotional motherboard/CPU bundles and associated discount logic.
Brief in. Clean data out.
Specify target categories, brands, or specific hardware SKUs. We configure the extraction schema.
We deploy Scrapy spiders with residential proxies to navigate Novatech's catalogue and bypass request limits.
We verify MPN accuracy, validate VAT calculations, and ensure stock statuses are mapped correctly.
Clean JSON or CSV records delivered to your specified endpoint, S3 bucket, or Postgres database.
Extracting PC components requires precise parsing of irregular specification tables and managing high-frequency stock checks without triggering blocks.
Hardware specifications vary wildly between CPUs, motherboards, and monitors. We use custom parsers to normalise these irregular HTML tables into a consistent JSON schema, ensuring 'Form Factor' or 'Socket' always map to the same field.
Retailer SKUs are useless for competitor analysis. We isolate Manufacturer Part Numbers (MPNs) and EANs hidden in the page source or spec sheets, allowing you to match Novatech listings exactly with Scan, Overclockers, or Amazon.
During hardware launches, stock disappears in minutes. Our infrastructure supports high-frequency polling on targeted SKU lists, using UK residential proxies to avoid rate limiting while checking availability sub-hourly.
Novatech frequently sells CPU, motherboard, and RAM bundles. Our pipeline detects these compound listings and extracts the individual component components and the applied bundle discount.
UK hardware pricing requires careful handling of VAT. We explicitly scrape and separate ex-VAT and inc-VAT prices to prevent data contamination in B2B procurement models.
UK hardware retailers track Novatech's pricing on core components to adjust their own margins and remain competitive.
Enterprise IT departments monitor workstation and server component pricing to optimise hardware refresh budgets.
Consumer alert platforms use our high-frequency stock data to notify users when rare GPUs or CPUs become available.
Hardware manufacturers track shelf space, category positioning, and stock depth for their brands versus competitors.
PC building websites ingest specification data and pricing to power compatibility checkers and budget calculators.
B2B resellers sync Novatech's stock levels and ex-VAT pricing directly into their own ERP systems.
"Accurate hardware data requires more than scraping titles; it requires parsing complex specification tables and isolating exact manufacturer part numbers."
Off-the-shelf scraping tools fail when confronted with the varied technical specifications of PC hardware. DataFlirt builds custom parsers that understand the difference between an AM5 socket and an LGA1700, delivering structured data that engineers and procurement teams can actually query.
Everything supported by our novatech.co.uk scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
We deploy specific Python parsing modules designed for hardware taxonomy, ensuring accurate extraction of complex specification tables.
Requests are routed through UK-based residential and datacenter proxies to maintain consistent access and avoid regional blocks.
PostgreSQL maintains a historical record of MPNs and SKUs, allowing us to deliver precise price-change diffs rather than full catalogue dumps.
Data delivered to where your team already works — no new tooling required.
About novatech.co.uk scraping, legality, and pipeline operations.
Ask us directly →Yes. We specifically target MPNs and EANs on Novatech product pages. This is critical for matching products against other UK retailers like Scan or Overclockers for accurate price comparison.
For full catalogue sweeps, we recommend daily runs. For specific high-demand items (like new GPU architectures or flagship CPUs), we can configure high-frequency pipelines that poll specific SKUs every 15 to 30 minutes.
Yes. Our schema explicitly separates price_ex_vat and price_inc_vat, ensuring procurement systems receive the correct baseline figures without manual recalculation.
We can extract the base specifications of pre-built systems and workstations. Extracting every permutation of the dynamic configurator requires specific scoping to map the upgrade options and price deltas.
Extracting publicly available pricing, specifications, and stock data is generally permissible for market research and competitor analysis under UK law. We do not bypass authentication walls or scrape user-generated personal data.
Our pipelines use multiple CSS and XPath selectors for each field. If Novatech updates their template, our fallback mechanisms ensure data continues to flow while our monitoring alerts our engineers to update the primary selectors.
20-minute scoping call. Pilot dataset within the week. Production within two. Stop manually checking component prices. Let DataFlirt build a managed pipeline to deliver structured Novatech data directly to your systems.
