We extract product listings, sizing grids, fabric metadata, pricing signals, and store stock levels from Country Road. 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 countryroad.com.au. All fields typed and schema-versioned.
"sku": "60281942-100", "title": "Australian Cotton Heritage Sweat", "price": 99.95, "currency": "AUD", "category": "Woman > Clothing > Sweats", "fabric_composition": "100% Australian Cotton", "colours": "['Grey Marle', 'Navy', 'White']"
| # | sku | title | category | sub_category | price | list_price |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Inventory & Sizing objects from countryroad.com.au. All fields typed and schema-versioned.
"sku": "60281942-100", "size": "M", "in_stock": true, "stock_level": "High", "low_stock_warning": false, "click_and_collect": true
| # | sku | colour_id | size | in_stock | stock_level | low_stock_warning |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Promotions objects from countryroad.com.au. All fields typed and schema-versioned.
"sku": "60281942-100", "current_price": 79.95, "original_price": 99.95, "discount_pct": 20, "on_sale": true, "promotion_text": "20% Off Sweats", "price_timestamp": "2023-10-24T08:12:00Z"
| # | sku | current_price | original_price | discount_pct | on_sale | promotion_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Homewares Catalogue objects from countryroad.com.au. All fields typed and schema-versioned.
"sku": "60293811-001", "title": "Deni Ribbed Bath Towel", "category": "Home > Bathroom > Towels", "material": "100% Cotton", "dimensions": "70cm x 140cm", "price": 49.95, "in_stock": true
| # | sku | title | category | material | dimensions | care_instructions |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Store Availability objects from countryroad.com.au. All fields typed and schema-versioned.
"sku": "60281942-100", "store_name": "Chadstone", "state": "VIC", "postcode": "3148", "in_stock": true, "stock_status": "Available", "last_updated": "2023-10-24T08:15:00Z"
| # | sku | store_id | store_name | state | postcode | in_stock |
|---|---|---|---|---|---|---|
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Our scraper processes the entire countryroad.com.au catalogue: apparel, homewares, dynamic sizing grids, and fabric metadata. Built with JavaScript rendering to handle client-side state and inventory lookups.
Extract product titles, categories, descriptions, and styling notes across mens, womens, and kids departments.
Capture detailed material breakdowns, care instructions, and sustainability markers like Australian Cotton certification.
Map parent products to child variants across all size and colour combinations.
Track inventory status per size and colour, including low stock warnings and out-of-stock flags.
Scrape Click & Collect availability across Australian retail locations by postcode.
Monitor current price, original RRP, and sale percentages across the entire catalogue.
Process non-apparel categories including dimensions, materials, and designer notes for home goods.
Extract primary images, alternate angles, and lifestyle shots at maximum resolution.
Run daily pipelines that only output changed records, reducing storage bloat and processing time.
Brief in. Clean data out.
Provide target categories, search terms, or specific product lines. We map the extraction schema.
We configure Scrapy and Playwright to navigate the Country Road frontend and handle dynamic inventory loading.
Schema validation, null-rate checks, and variant mapping verification before production launch.
JSON, CSV, or Parquet pushed to your S3 bucket or data warehouse on schedule.
Modern retail sites rely on heavy client-side rendering for variants and stock. Here is how we ensure complete data capture.
Country Road loads specific colour and size availability via asynchronous JavaScript. We use Playwright to execute these scripts and capture the true state of inventory.
To view accurate local pricing, stock levels, and store availability, requests are routed through Australian residential IPs.
A single product page can contain dozens of SKU combinations. We map every colour and size variant back to its parent ID for relational integrity.
We compute hashes for price and stock fields per SKU. Subsequent runs only emit data when a product goes on sale or changes inventory status.
We spread requests across IP pools and apply randomised delays to prevent triggering WAF blocks while maintaining extraction speed.
Fashion retailers track Country Road pricing, sale events, and markdown cadences to adjust their own promotional strategies.
Merchandisers analyse category depth, colour prevalence, and size availability to inform their own buying decisions.
Analysts monitor out-of-stock rates across sizes to estimate sales velocity and demand curves.
Fashion researchers track fabric composition trends, such as the shift towards sustainable materials and Australian cotton.
Retail strategists map Click & Collect availability to understand stock distribution across physical store networks.
Fashion search engines and comparison sites ingest product feeds to keep their external catalogues accurate and updated.
"Country Road's catalogue provides a critical baseline for Australian premium retail pricing and inventory trends. Capturing this data requires navigating dynamic variant rendering."
Extracting accurate fashion data goes beyond scraping HTML. It requires executing JavaScript to reveal size-level stock availability, routing requests through local Australian IPs to see accurate store data, and mapping complex parent-child SKU relationships. DataFlirt handles this infrastructure so your team can focus on retail analytics.
Everything supported by our countryroad.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 deduplication. Playwright handles JavaScript rendering for dynamic variant loading. Combined via scrapy-playwright middleware.
We maintain pools of Australian residential ISP proxies to ensure accurate local pricing and prevent geo-blocking.
Pipelines run on AWS Lambda and ECS. Airflow manages scheduling and dependency tracking. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About countryroad.com.au scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product, pricing, and store data is generally permissible under applicable law. DataFlirt targets only public, non-authenticated endpoints. We do not extract personal user data or circumvent authentication walls.
We map all child SKUs to their parent product ID. Each variant record includes its specific colour, size, price, and stock status, ensuring relational integrity.
Yes. We can simulate location-based lookups using Australian postcodes to extract Click & Collect availability and stock status for specific store locations.
For the entire countryroad.com.au catalogue, we typically run daily refreshes. Specific high-priority categories or sale sections can be monitored at hourly cadences.
Yes. We parse the product details and care sections to extract fabric composition, material types, and sustainability markers like Australian Cotton.
Every pipeline run produces timestamped snapshots. We build a time-series record for pricing and stock status from the date your pipeline is commissioned.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily catalogue sync or continuous price monitoring across all apparel categories, we build and operate the pipeline. Tell us your requirements.
