We extract fashion assortments, promotional pricing, variant matrices, and stock availability from Myer.com.au. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, 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 myer.com.au. All fields typed and schema-versioned.
"sku": "12345678", "title": "Linen Blend Blazer", "brand": "Tokito", "price": 89.95, "original_price": 129.95, "discount_pct": 30, "colour": "Navy", "in_stock": true
| # | sku | title | brand | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Promotions objects from myer.com.au. All fields typed and schema-versioned.
"sku": "12345678", "current_price": 89.95, "was_price": 129.95, "promotion_text": "Take an extra 20% off clearance", "myer_one_exclusive": false, "clearance_flag": true, "currency": "AUD", "price_timestamp": "2024-05-12T08:00:00Z"
| # | sku | current_price | was_price | promotion_text | myer_one_exclusive | clearance_flag |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Inventory & Click & Collect objects from myer.com.au. All fields typed and schema-versioned.
"sku": "12345678", "store_id": "VIC_001", "store_name": "Myer Melbourne City", "postcode": "3000", "availability_status": "In Stock", "click_and_collect_eligible": true, "delivery_eligible": true, "last_checked": "2024-05-12T08:05:00Z"
| # | sku | store_id | store_name | postcode | availability_status | stock_level |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Brand Catalogues objects from myer.com.au. All fields typed and schema-versioned.
"brand_name": "Country Road", "brand_slug": "country-road", "total_products": 452, "price_min": 19.95, "price_max": 399.0, "avg_discount": 15.5, "new_arrivals_count": 24, "brand_url": "https://www.myer.com.au/b/Country%20Road"
| # | brand_name | brand_slug | total_products | categories_spanned | price_min | price_max |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from myer.com.au. All fields typed and schema-versioned.
"review_id": "REV-98765", "sku": "12345678", "rating": 4, "review_title": "Great blazer for work", "recommended": true, "fit_feedback": "True to size", "quality_rating": 5, "date_posted": "2024-04-20"
| # | review_id | sku | reviewer_nickname | rating | review_title | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Myer pipeline manages the complexity of Australian geo-blocking, dynamic variant loading, and complex promotional rules to deliver clean retail data.
Extract apparel, beauty, homewares, and electronics categories with complete metadata, materials, and care instructions.
Resolve complex size and colour combinations to specific SKUs, capturing unique pricing and stock states for each variant.
Track clearance events, multi-buy offers, and percentage-off discounts applied at the cart or product level.
Query stock availability across Myer physical locations for Click & Collect and local delivery eligibility.
Monitor brand presence, new arrivals, and category dominance for labels like Country Road, Seed Heritage, and MAC.
Pull customer ratings, fit feedback, and text reviews to analyse product sentiment and sizing accuracy.
Route requests through AU-based residential proxies to bypass regional blocking and access localised pricing.
Monitor daily or hourly price changes across target categories to inform competitor pricing models.
Emit only changed records for pricing and stock updates, minimising warehouse compute and storage costs.
Brief in. Clean data out.
Provide category URLs, brand names, or specific SKUs. We map the required data points and extraction frequency.
We configure Scrapy spiders with Australian residential proxies and Playwright for dynamic variant loading on myer.com.au.
Schema validation checks ensure colour, size, and price fields maintain target density and accuracy before deployment.
Clean data pushed as JSON, CSV, or Parquet to your S3 bucket or Snowflake warehouse on the agreed schedule.
Myer protects its pricing data with regional blocks and dynamic frontends. We handle the infrastructure so you receive clean data.
Myer loads size and colour variants dynamically via JavaScript. We use Playwright to simulate selections and capture exact variant SKUs and prices.
Myer.com.au heavily restricts non-Australian IP traffic. We route all requests through high-reputation Australian residential proxies to maintain access.
Myer frequently uses complex promotional banners. We extract both the base price and the promotional text to calculate the final cart value.
Category pages rely on dynamic loading. Our crawlers handle infinite scroll and pagination tokens to ensure zero data loss across deep categories.
Aggressive scraping triggers WAF blocks. We distribute requests across thousands of IPs with randomised delays to stay under threshold limits.
Retailers track Myer's promotional calendar and clearance markdowns to adjust their own pricing strategies.
Fashion brands monitor their share of shelf, category placement, and stock levels against competitors within Myer.
Analysts track out-of-stock rates across sizes and colours to identify supply chain bottlenecks and demand trends.
Retail analysts evaluate Myer's category expansion, brand partnerships, and discounting depth over time.
Product teams scrape reviews and fit feedback to improve their own product design and sizing charts.
Deal aggregators sync Myer's daily clearance and promotional data to feed their audience with accurate offers.
"Myer's digital catalogue is a real-time indicator of Australian retail trends, but extracting accurate variant-level pricing requires navigating strict geo-blocks and dynamic frontends."
Scraping Australian retail giants requires localised infrastructure. Myer.com.au enforces aggressive rate limits and geo-restrictions, while hiding variant pricing behind JavaScript. DataFlirt manages the residential proxy networks and headless browser sessions required to deliver clean, normalised catalogue data to your warehouse.
Everything supported by our myer.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 orchestrates the crawl while Playwright handles JavaScript execution for Myer's dynamic variant selectors and inventory modals.
We route traffic exclusively through Australian residential IPs to bypass regional firewalls and access accurate local pricing.
Containerised deployments on Kubernetes scale horizontally to process deep category trees and promotional events rapidly.
Data delivered to where your team already works — no new tooling required.
About myer.com.au scraping, legality, and pipeline operations.
Ask us directly →Scraping public product, pricing, and store data is generally permissible. DataFlirt extracts only publicly available information and does not bypass authentication to access MYER one accounts or personal data.
We utilise premium Australian residential proxy networks. This ensures our requests appear as legitimate local traffic, bypassing regional restrictions and displaying accurate AUD pricing.
Yes. We use headless browsers to interact with the variant selectors on the product page, capturing the unique SKU, price, and stock status for every size and colour combination.
Yes. We can query Myer's Click & Collect API endpoints using specific postcodes or store IDs to determine local availability across the network.
We can configure pipelines to run at hourly intervals for specific high-priority categories or brands, ensuring you capture flash sales and clearance markdowns as they happen.
Yes. We can scope the crawl to specific brand URLs or filter the output to include only the labels relevant to your analysis.
We deliver structured data in JSON, CSV, or Parquet formats directly to your S3 bucket, Snowflake warehouse, or via Webhook for real-time integration.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily sync of fashion assortments or hourly price monitoring for clearance events, we build and operate the infrastructure. Tell us your requirements.
