We extract product listings, promotional pricing, store-level stock availability, and finance offers from Harvey Norman. Delivered as clean JSON, CSV, or Parquet to S3 or Snowflake.
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 harveynorman.com.au. All fields typed and schema-versioned.
"sku": "HN-TV-85X", "title": "Samsung 85-inch QLED 4K Smart TV", "brand": "Samsung", "price": 3495.0, "original_price": 4295.0, "energy_rating": "4.5 Stars", "category": "TVs"
| # | sku | title | brand | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Promotions objects from harveynorman.com.au. All fields typed and schema-versioned.
"sku": "HN-TV-85X", "current_price": 3495.0, "ticket_price": 4295.0, "save_amount": 800.0, "promotion_text": "Hot Deal", "finance_offer": "60 Months Interest Free", "currency": "AUD"
| # | sku | current_price | ticket_price | save_amount | promotion_text | cashback_amount |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Stock & Availability objects from harveynorman.com.au. All fields typed and schema-versioned.
"sku": "HN-TV-85X", "online_stock_status": "In Stock", "delivery_estimate": "2-5 business days", "click_and_collect": true, "store_name": "Auburn Flagship", "store_stock_status": "Low Stock", "postcode": "2144"
| # | sku | online_stock_status | delivery_estimate | click_and_collect | store_id | store_name |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Specifications objects from harveynorman.com.au. All fields typed and schema-versioned.
"sku": "HN-TV-85X", "model_number": "QA85Q70AAWXXY", "dimensions_mm": "1900 x 1085 x 26", "weight_kg": 41.5, "color": "Titan Black", "power_consumption": "295W", "connectivity": "4x HDMI, 2x USB"
| # | sku | model_number | dimensions_mm | weight_kg | color | material |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Reviews & Ratings objects from harveynorman.com.au. All fields typed and schema-versioned.
"review_id": "REV-99214", "sku": "HN-TV-85X", "reviewer_name": "John D.", "rating": 5, "review_title": "Massive screen, great picture", "date_posted": "2023-11-12", "verified_buyer": true
| # | review_id | sku | reviewer_name | rating | review_title | review_text |
|---|---|---|---|---|---|---|
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We handle the entire Harvey Norman site structure: complex category trees, dynamic promotional pricing, post-code specific stock availability, and detailed appliance specifications.
Extract detailed specification tables, model numbers, and energy rating data for whitegoods and electronics.
Capture ticket prices, Hot Deal discounts, cashback offers, and clearance status across the catalogue.
Monitor Latitude Interest Free terms, monthly repayment calculations, and promotional finance periods.
Simulate postcode entry to extract Click & Collect availability and stock levels for specific retail locations.
Maintain full breadcrumb trails from top-level departments down to specific product sub-categories.
Extract configurable options for furniture, including fabric choices, dimensions, and custom order lead times.
Scrape customer ratings, review text, and recommendation percentages for syndicated product reviews.
Capture high-resolution product imagery, energy rating labels, and PDF manual URLs.
Extract postcode-specific delivery timeframes and shipping cost calculations.
Identify bonus item inclusions and multi-buy promotional structures.
Brief in. Clean data out.
Provide categories, search terms, or target postcodes for store stock. We map the extraction schema.
We configure Scrapy and Playwright crawlers to handle Harvey Norman's regional routing and dynamic pricing.
Schema validation, price-outlier detection, and null-rate checks run before production deployment.
JSON, CSV, or Parquet pushed to your AWS S3 bucket or Snowflake stage on your agreed cadence.
Harvey Norman serves different pricing and stock based on regional postcodes and uses bot mitigation to protect their catalogue. Here is how we maintain reliable pipelines.
Harvey Norman blocks non-AU traffic and alters content based on IP. We route all requests through Australian residential ISP proxies to ensure accurate localized pricing and avoid geoblocks.
Stock availability and delivery estimates require session-based postcode entry. We use Playwright to simulate user interaction, setting local storage and cookies to extract store-level data.
Aggressive crawling triggers WAF blocks. We manage request concurrency and implement exponential backoff to stay beneath rate-limit thresholds.
Product page layouts vary between electronics and furniture. We implement category-specific selector chains to handle DOM variations without dropping fields.
Harvey Norman uses various formats for discounts like 'Save $100', 'Bonus Gift', or 'Cashback'. Our pipeline parses these into structured numeric fields for downstream analysis.
Retailers track Harvey Norman's ticket prices and promotional discounts to adjust their own pricing strategies.
Electronics manufacturers monitor MAP compliance, ensuring their products are not advertised below agreed minimums.
Analysts track product range expansions and category depth to estimate market share in the Australian appliance sector.
Marketing teams analyse the frequency and depth of Hot Deals and cashback offers to plan counter-campaigns.
Suppliers monitor out-of-stock indicators across regional stores to optimise inventory distribution.
Financial institutions monitor the prevalence of Latitude Interest Free offers across different product categories.
"Harvey Norman dictates consumer electronics pricing in Australia. Without structured visibility into their promotions and stock levels, retail competitors operate blind."
Extracting data from Harvey Norman requires handling geolocation blocks, session-based postcode injection for stock data, and highly variable product page templates. DataFlirt manages this infrastructure, delivering clean, normalised catalogue data so your team can focus on pricing strategy rather than proxy rotation.
Everything supported by our harveynorman.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 manages session states required for postcode-specific stock rendering.
Dedicated Australian proxy pools ensure accurate local pricing and prevent aggressive geo-blocking from Harvey Norman's WAF.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About harveynorman.com.au scraping, legality, and pipeline operations.
Ask us directly →We use Australian residential proxies and inject specific postcodes into the session state using Playwright to ensure we capture the correct regional pricing and stock availability.
Yes. By supplying a target postcode or store ID, we can extract the local stock status and collection timeframes for specific retail locations.
Yes. We extract the promotional finance text, duration, and the calculated monthly repayment amounts displayed on the product page.
We support daily, weekly, or custom schedules. For targeted lists of high-priority SKUs, we can configure intra-day runs to monitor flash sales or Hot Deals.
Yes. We parse the HTML specification tables into structured key-value pairs, standardising fields like dimensions, weight, and energy ratings.
Yes. We extract the available fabric, colour, and size variations for furniture and bedding, including the specific pricing for each configuration.
Yes. We maintain a time-series record for each SKU, allowing you to track ticket price changes, discount depth, and promotional periods over time.
20-minute scoping call. Pilot dataset within the week. Production within two. Stop manually checking competitor prices and store stock. We build and maintain the extraction pipeline, delivering structured catalogue data directly to your warehouse.
