We extract hardware listings, ex-GST/inc-GST pricing, branch-level stock availability, and technical specifications from PB Tech. 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 Listings objects from pbtech.co.nz. All fields typed and schema-versioned.
"sku": "VGAASU34090", "title": "ASUS TUF Gaming GeForce RTX 4090 24GB GDDR6X", "brand": "ASUS", "category": "PC Parts", "sub_category": "Graphics Cards", "price_inc_gst": 3899.0, "price_ex_gst": 3390.43, "stock_status": "In Stock"
| # | sku | title | brand | category | sub_category | price_inc_gst |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Promos objects from pbtech.co.nz. All fields typed and schema-versioned.
"sku": "VGAASU34090", "base_price_inc_gst": 4199.0, "discount_price_inc_gst": 3899.0, "promo_name": "Mega PC Parts Sale", "promo_end_date": "2026-06-30T23:59:59Z", "ex_gst_price": 3390.43, "currency": "NZD", "discount_pct": 7.1
| # | sku | base_price_inc_gst | discount_price_inc_gst | promo_name | promo_end_date | bulk_pricing_tiers |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Stock & Availability objects from pbtech.co.nz. All fields typed and schema-versioned.
"sku": "VGAASU34090", "online_stock_level": 14, "branch_name": "Auckland CBD", "branch_stock_level": 2, "eta_date": "None", "supplier_stock": true, "click_and_collect_eligible": true, "last_updated": "2026-05-12T09:14:00Z"
| # | sku | online_stock_level | branch_name | branch_stock_level | eta_date | supplier_stock |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Technical Specifications objects from pbtech.co.nz. All fields typed and schema-versioned.
"sku": "VGAASU34090", "memory_size": "24GB", "memory_type": "GDDR6X", "ports": "2x HDMI 2.1a, 3x DisplayPort 1.4a", "dimensions": "348.2 x 150 x 72.6 mm", "warranty_period": "3 Years", "manufacturer_part_number": "TUF-RTX4090-24G-GAMING"
| # | sku | form_factor | memory_size | memory_type | core_clock | ports |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Reviews & Ratings objects from pbtech.co.nz. All fields typed and schema-versioned.
"sku": "VGAASU34090", "review_id": "REV-89214", "reviewer_name": "James T.", "star_rating": 5, "review_date": "2026-04-18", "review_text": "Massive card, runs cool under heavy load.", "helpful_votes": 12, "verified_buyer": true
| # | sku | review_id | reviewer_name | star_rating | review_date | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our PB Tech scraper handles complex technical specifications, dynamic branch-level stock queries, and dual pricing models. We manage the infrastructure so you can focus on analysis.
Extract titles, SKUs, brand data, and deep category taxonomy across all PC parts, networking gear, and consumer electronics.
Capture both ex-GST and inc-GST pricing, alongside promotional discounts and bulk purchase tiers.
Query stock levels across all 20+ PB Tech retail locations, plus central warehouse and supplier availability metrics.
Normalise complex specification tables into structured JSON, capturing form factors, socket types, and exact dimensions.
Monitor clearance items, open-box deals, and limited-time promotional banners attached to specific SKUs.
Extract customer reviews, star ratings, and verified buyer flags to gauge product sentiment and defect rates.
Navigate deep category trees and search result pages without missing a single SKU.
Receive only updated records for price and stock changes, reducing processing load on your data warehouse.
Run extractions at hourly, daily, or weekly cadences depending on your monitoring requirements.
Brief in. Clean data out.
Provide categories, search terms, or specific SKUs. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management for pbtech.co.nz.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting accurate stock and pricing data from PB Tech requires navigating dynamic frontend frameworks and rate limits.
We utilise New Zealand residential proxies to avoid rate limiting and IP bans when scanning the entire PB Tech catalogue.
Branch-level stock figures are loaded dynamically via background requests. We intercept these XHR calls to extract exact unit counts per store.
We use multiple fallback chains for CSS selectors and XPath to ensure data extraction continues smoothly even when PB Tech updates their frontend layout.
We maintain a hash index of last-seen values per SKU. Subsequent runs only push diffs for price or stock alterations, reducing compute overhead.
Every run emits structured logs. We alert on null-rate spikes and coverage drops, responding before you even notice an issue.
Other electronics retailers track PB Tech pricing to adjust their own margins and run price-matching guarantees.
Enterprise IT departments monitor bulk pricing and stock levels across branches to optimise hardware purchasing.
Analysts track new product listings and category expansion to understand IT hardware trends in the New Zealand market.
Distributors monitor supplier stock flags and ETA dates to gauge inventory movement and supply chain bottlenecks.
Hardware manufacturers audit retail listings to ensure their products are not sold below Minimum Advertised Price agreements.
Retailers analyse the depth of PB Tech's catalogue to identify gaps in their own product offerings.
"PB Tech holds the most comprehensive IT hardware catalogue in New Zealand, but mapping their dynamic stock levels across 20+ branches requires persistent infrastructure."
Scraping PB Tech requires navigating anti-bot systems, rendering dynamic branch-level stock widgets, and normalising complex technical specifications. DataFlirt manages this complexity entirely. Your engineering team receives clean, structured data ready for analysis, without maintaining a single proxy or selector.
Everything supported by our pbtech.co.nz 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 manages JavaScript execution for dynamic stock availability widgets.
We route requests through New Zealand residential IP pools to ensure high success rates and avoid geographical blocking.
Pipelines execute on AWS infrastructure, managed by Apache Airflow for strict scheduling and dependency resolution.
Data delivered to where your team already works — no new tooling required.
About pbtech.co.nz scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing, stock, and specification data is generally permissible. DataFlirt extracts only public, non-authenticated data. We do not bypass login walls to extract PB Insider or wholesale pricing.
We extract the exact stock figures displayed on the PB Tech website at the time of the crawl. Accuracy depends on PB Tech's internal inventory synchronization.
Yes. Our schema captures both pricing models to support consumer market research and B2B procurement analysis.
We support daily full-catalogue refreshes and higher-frequency hourly runs for specific sub-categories or targeted SKU lists.
We maintain a time-series record of price changes from the moment your pipeline is commissioned. We do not have access to historical pricing prior to pipeline activation.
No. PB Insider pricing requires an authenticated user session. DataFlirt strictly targets public, unauthenticated data.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue export or a continuous stock-monitoring feed across thousands of SKUs, we scope, build, and operate the pipeline. Tell us what you need.
