We extract PC component listings, daily deals, store-level stock availability, and technical specifications from Umart. Delivered as clean JSON or Parquet to your warehouse.
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 umart.com.au. All fields typed and schema-versioned.
"sku": "60392", "title": "Asus GeForce RTX 4090 ROG Strix Gaming 24G Video Card", "brand": "Asus", "manufacturer_code": "ROG-STRIX-RTX4090-O24G-GAMING", "price": 3499.0, "stock_status": "In Stock", "rating": 4.9, "review_count": 42
| # | sku | title | brand | manufacturer_code | category | sub_category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing & Deals objects from umart.com.au. All fields typed and schema-versioned.
"sku": "60392", "current_price": 3499.0, "list_price": 3699.0, "discount_pct": 5, "daily_deal": false, "clearance": false, "price_timestamp": "2026-05-12T09:14:00Z", "currency": "AUD"
| # | sku | current_price | list_price | discount_pct | daily_deal | clearance |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Inventory & Locations objects from umart.com.au. All fields typed and schema-versioned.
"sku": "60392", "online_stock": true, "milton_stock": "In Stock", "eight_mile_plains_stock": "Low Stock", "southport_stock": "Out of Stock", "click_and_collect": true, "delivery_estimate": "1-3 Business Days"
| # | sku | online_stock | milton_stock | eight_mile_plains_stock | southport_stock | expected_restock_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Technical Specs objects from umart.com.au. All fields typed and schema-versioned.
"sku": "59210", "form_factor": "ATX", "socket_type": "AM5", "memory_type": "DDR5", "warranty": "3 Years", "chipset": "X670E", "dimensions": "30.5 cm x 24.4 cm"
| # | sku | form_factor | socket_type | memory_type | wattage | dimensions |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from umart.com.au. All fields typed and schema-versioned.
"review_id": "REV-99214", "sku": "60392", "reviewer_name": "John D.", "star_rating": 5, "review_date": "2026-04-18", "verified_buyer": true, "helpful_votes": 12, "review_text": "Incredible performance for 4K gaming."
| # | review_id | sku | reviewer_name | star_rating | review_date | verified_buyer |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Umart scraper handles the complexities of Australian PC hardware retail: highly variable specification tables, store-level inventory tracking, and dynamic pricing across thousands of SKUs.
Title, manufacturer code, brand, and complete product descriptions extracted across all hardware categories.
Track inventory availability across specific Umart locations including Milton, Eight Mile Plains, and Southport.
Monitor flash sales, daily deals, and clearance bins to capture aggressive pricing strategies.
Normalise complex PC hardware specifications into structured key-value pairs for easy database ingestion.
Capture price shifts and discounts continuously to feed your competitor repricing engines.
Extract full breadcrumb trails to maintain accurate product categorisation and site hierarchy.
Aggregate star ratings and user feedback to gauge component reliability and consumer sentiment.
Extract socket types, form factors, and power requirements essential for PC builder applications.
Run one-off bulk exports or configure continuous pipelines at hourly or daily cadences.
Brief in. Clean data out.
Provide category URLs, keyword sets, or manufacturer codes. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management for umart.com.au.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON, CSV, or Parquet pushed to your AWS S3 bucket or Snowflake stage on agreed cadence.
Extracting hardware data requires navigating bot protection and variable table structures. Here is how we maintain data integrity.
We utilise Australian residential IPs to ensure requests blend with standard consumer traffic, avoiding IP bans and rate limits.
Store-level inventory is often loaded dynamically. We use Playwright to execute JavaScript and capture accurate stock status across all locations.
Motherboards have different specs than monitors. Our parsers normalise highly variable HTML tables into consistent JSON schemas.
We maintain a state file of previous runs, emitting only records where pricing or stock levels have changed to reduce processing overhead.
Automated alerts trigger if the site layout changes or null rates spike, allowing our engineers to patch selectors quickly.
Australian electronics retailers monitor Umart's pricing to automatically adjust their own margins and maintain competitiveness.
Distributors track store-level stock depletion rates to anticipate reorder volumes for specific hardware components.
Analysts evaluate pricing trends across GPU and CPU generations to understand market saturation and consumer demand.
Developers of custom PC building tools require accurate dimensional and compatibility specifications to validate user builds.
Buyers monitor daily deals and clearance items to identify high-margin resale opportunities in the secondary market.
Research firms aggregate review volumes and star ratings to measure brand performance in the Australian market.
"Umart holds critical pricing and inventory signals for the Australian PC hardware market, requiring precise extraction of highly variable specification tables."
Most engineering teams underestimate the complexity of scraping electronics retailers. Normalising unstructured specification tables across thousands of motherboards, GPUs, and peripherals requires dedicated maintenance. DataFlirt handles the proxy rotation, JavaScript execution, and schema parsing so you can focus on pricing strategy.
Everything supported by our umart.com.au 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 manages orchestration and deduplication, while Playwright handles JavaScript rendering for dynamic inventory data.
We utilise Australian residential proxies to maintain high success rates and avoid location-based blocking.
Pipelines are scheduled via Apache Airflow and executed on AWS infrastructure for reliable, scalable extraction.
Data delivered to where your team already works — no new tooling required.
About umart.com.au scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and specification data is generally permissible for business intelligence purposes. We do not bypass authentication walls or extract personally identifiable information.
We use AU-based residential proxies, realistic browser fingerprinting via Playwright, and automated challenge solvers to maintain uninterrupted access.
Yes. We can target specific store locations such as Milton, Eight Mile Plains, and Southport to capture granular inventory data.
We can configure pipelines to run daily, hourly, or at custom intervals depending on your repricing requirements.
Yes. We map variable HTML tables into consistent JSON keys, ensuring that attributes like socket type and form factor are queryable.
We typically start with a defined category or SKU list. Contact us with your specific data requirements for a tailored infrastructure quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily price feed or a complete component database, we scope, build, and operate the pipeline. Tell us what you need.
