We extract electronics specifications, historical pricing, retailer availability, and discount signals from getpricelist.com.au. Delivered as clean JSON, CSV, or Parquet to S3 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 Details objects from getpricelist.com.au. All fields typed and schema-versioned.
"product_id": "GP-847291", "title": "Samsung Galaxy S24 Ultra 256GB", "brand": "Samsung", "category": "Mobile Phones", "sub_category": "Smartphones", "release_date": "2024-01-17"
| # | product_id | title | brand | category | sub_category | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Retailer Offers objects from getpricelist.com.au. All fields typed and schema-versioned.
"product_id": "GP-847291", "retailer_name": "JB Hi-Fi", "price": 2199.0, "currency": "AUD", "shipping_cost": 0.0, "stock_status": "In Stock", "condition": "New"
| # | product_id | retailer_name | retailer_url | price | currency | shipping_cost |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Price History objects from getpricelist.com.au. All fields typed and schema-versioned.
"product_id": "GP-847291", "date": "2026-05-12", "lowest_price": 1999.0, "average_price": 2150.0, "highest_price": 2199.0, "retailer_count": 8, "price_drop_pct": 4.5
| # | product_id | date | lowest_price | average_price | highest_price | retailer_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Specifications objects from getpricelist.com.au. All fields typed and schema-versioned.
"product_id": "GP-847291", "screen_size": "6.8 inches", "resolution": "3120 x 1440", "processor": "Snapdragon 8 Gen 3", "ram": "12GB", "storage": "256GB", "battery": "5000mAh"
| # | product_id | screen_size | resolution | processor | ram | storage |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Search Results objects from getpricelist.com.au. All fields typed and schema-versioned.
"keyword": "samsung galaxy", "position": 1, "product_id": "GP-847291", "title": "Samsung Galaxy S24 Ultra 256GB", "lowest_price": 1999.0, "retailer_count": 8, "rating": 4.8
| # | keyword | position | product_id | title | lowest_price | retailer_count |
|---|---|---|---|---|---|---|
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Our extraction pipeline targets electronics pricing, retailer stock status, and historical data points with full session management and anti-bot circumvention.
Title, description, brand, category mapping, and full specifications scraped at the product level.
Capture price, shipping costs, stock status, and condition across all listed retailers for a given product.
Extract lowest, average, and highest historical prices to track market trends over time.
Monitor shipping fees per retailer to calculate the true landed cost for consumers.
Track inventory availability indicators across multiple Australian electronics retailers.
Extract full category trees to understand product placement and hierarchy.
Track product ranking and visibility for specific electronics keywords.
Only receive data when a price drops or stock status changes to reduce warehouse compute costs.
Run one-off bulk exports or configure continuous pipelines at hourly or daily cadences.
Brief in. Clean data out.
Provide categories, brands, or keyword sets. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management for getpricelist.com.au.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or API endpoint on agreed cadence.
Aggregator sites invest heavily in scraping detection. Here is how we stay resilient and deliver consistent data.
Aggregators use aggressive rate limiting. Our crawlers use Australian residential ISP proxies with realistic browser fingerprints and randomised request timing to mimic real user behaviour.
Price comparison tables and historical charts often rely on JavaScript. We run full Playwright browser sessions to capture data that headless HTTP clients miss entirely.
We use multiple fallback chains per field, including CSS selectors, XPath, and text-pattern matching, ensuring layout changes do not break your data pipeline.
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. We alert on null-rate spikes, price outliers, and coverage drops, responding before you notice.
Electronics retailers monitor pricing and shipping costs across competitors to optimise their own pricing strategies.
Brands track which retailers carry their products and monitor stock availability across the market.
Analysts track historical pricing trends and product lifecycles to identify market opportunities.
Publishers use aggregated pricing data to populate comparison widgets and drive affiliate revenue.
eCommerce teams feed competitor pricing data directly into automated repricing algorithms.
Supply chain teams correlate stock availability indicators with market pricing to improve procurement models.
"Getpricelist.com.au aggregates the Australian electronics market, providing critical pricing signals that remain invisible unless systematically extracted."
Extracting aggregated pricing data requires handling dynamic DOM structures, aggressive rate limiting, and constant retailer layout shifts. DataFlirt manages this complexity entirely. We deliver clean, normalised data so your engineering team can focus on building analytical models, not maintaining brittle scraping scripts.
Everything supported by our getpricelist.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 handles crawl orchestration and retry logic. Playwright handles JavaScript rendering and interaction flows.
We maintain pools of residential ISP proxies across AU regions. Rotation happens per request to prevent blacklisting.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management.
Data delivered to where your team already works — no new tooling required.
About getpricelist.com.au scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and product specification data is generally permissible. DataFlirt extracts only public, non-authenticated data. We do not extract personal data or circumvent authentication walls.
We use Australian residential ISP proxies and request timing modelled on human behaviour to avoid triggering rate limits. We monitor for 503 errors and trigger pool rotation automatically.
Yes. We extract the historical lowest, highest, and average price data points visible on the product pages.
Pipelines can be configured to run at hourly or daily cadences depending on your requirements and the volatility of the target product categories.
Yes. We extract the listed shipping costs for each retailer offer to provide a complete view of the landed price.
Our packages start at a defined category or keyword list with weekly delivery. We price based on volume and delivery frequency.
Yes. We provide a sample run of up to 500 products as part of the scoping process to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off category dump or a continuous price-monitoring feed across the electronics market, we scope, build, and operate the pipeline. Tell us what you need.
