We extract product catalogues, size-level stock, pricing signals, and brand data from The Iconic. 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 Catalogues objects from theiconic.com.au. All fields typed and schema-versioned.
"sku": "NI126AA84LXP", "title": "Air Force 1 '07 - Men's", "brand": "Nike", "category": "Shoes", "price": 170.0, "rrp": 170.0, "colour": "White", "considered_edit": false
| # | sku | title | brand | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Inventory & Sizing objects from theiconic.com.au. All fields typed and schema-versioned.
"sku": "NI126AA84LXP-WHT-10", "parent_sku": "NI126AA84LXP", "size": "US 10", "stock_status": "in_stock", "low_stock_warning": true, "delivery_timeframe": "Same day delivery eligible", "warehouse_location": "Sydney"
| # | sku | parent_sku | size | stock_status | low_stock_warning | delivery_timeframe |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing & Promotions objects from theiconic.com.au. All fields typed and schema-versioned.
"sku": "NI126AA84LXP", "current_price": 136.0, "rrp": 170.0, "discount_pct": 20, "promo_code_eligible": false, "sale_badge": "20% OFF AT CHECKOUT", "final_sale_flag": false, "price_timestamp": "2026-08-14T10:22:00Z"
| # | sku | current_price | rrp | discount_pct | promo_code_eligible | sale_badge |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Brand Intelligence objects from theiconic.com.au. All fields typed and schema-versioned.
"brand_name": "R.M. Williams", "brand_slug": "rm-williams", "total_products": 412, "active_sales": 14, "designer_category": true, "gender_focus": "Unisex", "scraped_at": "2026-08-14T10:25:11Z"
| # | brand_name | brand_slug | total_products | active_sales | designer_category | brand_description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Reviews & Ratings objects from theiconic.com.au. All fields typed and schema-versioned.
"review_id": "REV-9928174", "sku": "NI126AA84LXP", "rating": 4.8, "reviewer_name": "James T.", "fit_feedback": "True to size", "quality_feedback": "Excellent", "verified_buyer": true, "review_date": "2026-07-21"
| # | review_id | sku | rating | reviewer_name | review_text | fit_feedback |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
The Iconic relies on complex React frontends, dynamic size matrices, and aggressive sale cycles. Our pipelines handle the JavaScript execution, variant mapping, and anti-bot circumvention to deliver clean retail data.
Extract every colour and size combination linked to a parent SKU. We map the exact relationships so your database reflects accurate product hierarchies.
Track stock availability, low-stock warnings, and out-of-stock statuses down to the specific size and colour variant.
Capture base RRP, current markdown prices, and promotional badge text. Track price drops across major sale events.
Isolate sustainability credentials, material compositions, and ethical manufacturing claims tagged under The Iconic's Considered Edit.
Scrape entire brand pages to audit assortment size, category spread, and pricing strategies for specific labels.
Extract primary product images, alternate angles, and model shots directly from the underlying content delivery network.
Preserve the exact breadcrumb structure from primary department down to granular sub-categories for accurate market mapping.
Configure pipelines to run at hourly intervals during major promotional periods to capture rapid price adjustments.
Receive only updated SKUs, new arrivals, or price changes to minimise ingest costs and database bloat.
Brief in. Clean data out.
Specify target brands, categories, or entire departments. We map the required attributes and delivery cadence.
We deploy Playwright clusters to handle The Iconic's React hydration, size dropdowns, and pagination logic.
Automated checks ensure variant matrices are complete, prices are numeric, and null rates remain below defined thresholds.
Clean JSON, CSV, or Parquet files land in your S3 bucket, Snowflake stage, or via direct Webhook.
Extracting data from The Iconic requires handling modern single-page applications and complex inventory structures. Here is how our infrastructure manages the load.
The Iconic relies heavily on client-side rendering. Headless HTTP requests return empty templates. We use Playwright to execute JavaScript, wait for network idle states, and capture the fully hydrated DOM.
Fashion products exist in multi-dimensional matrices. We programmatically iterate through colour swatches and size selectors to capture discrete SKUs, prices, and stock states that are otherwise hidden in JavaScript objects.
To view accurate Australian pricing, stock availability, and delivery estimates, requests must originate from local IP addresses. We route all traffic through Australian residential proxies to prevent geo-blocking and currency anomalies.
During major retail events, prices change rapidly and server response times degrade. Our Kubernetes clusters scale concurrency dynamically to capture fast-moving data while respecting target server rate limits.
Retailers frequently update front-end frameworks. We utilise fallback selector chains targeting JSON-LD, internal API endpoints, and data attributes to ensure pipeline stability when CSS classes change.
Retailers track The Iconic's pricing, discount depths, and promotional cadences to optimise their own markdown strategies.
Merchandising teams audit category depth and brand representation to identify missing product lines in their own catalogues.
Fashion labels monitor their products on The Iconic to ensure minimum advertised price agreements are maintained during sale periods.
Analysts track new arrivals, out-of-stock velocity, and review volume to quantify emerging fashion trends and consumer preferences.
Supply chain models ingest size-level stock availability to proxy sales velocity and optimise production planning.
Researchers and ESG analysts extract Considered Edit attributes to benchmark sustainability claims across major fashion brands.
"The Iconic represents the definitive pulse of Australian fashion retail - but tracking size-level inventory across thousands of brands requires purpose-built extraction infrastructure."
Most teams underestimate the complexity of scraping modern fashion aggregators. Reliable extraction from The Iconic requires handling complex colour-size matrices, single-page application hydration, and rapid price fluctuations during sale events. DataFlirt absorbs that complexity so your engineers can focus on merchandising analysis, not infrastructure maintenance.
Everything supported by our theiconic.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 request queues and deduplication. Playwright handles the React hydration and interaction flows required to expose variant data.
We maintain Australian residential proxy pools to ensure responses reflect accurate local pricing, taxes, and shipping estimates.
Pipelines run on AWS ECS with Airflow managing schedules, retries, and SLA alerting. State and diffs are maintained in PostgreSQL.
Data delivered to where your team already works — no new tooling required.
About theiconic.com.au scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product, pricing, and inventory data is generally permissible under Australian law. DataFlirt targets only public, non-authenticated endpoints. We do not extract personal user data or circumvent authentication walls. Clients should review terms of service and consult legal counsel for specific commercial use cases.
Yes. Our pipelines iterate through the variant matrices to capture discrete SKUs, pricing, and stock availability for every colour and size combination listed on a product page.
For defined SKU lists, pipelines can run at hourly intervals to track flash sales and intraday markdowns. Full catalogue crawls are typically executed on a daily cadence.
Yes. We extract all tags, material composition details, and ethical manufacturing claims associated with The Iconic's Considered Edit program.
We utilise Australian residential proxies, full Playwright browser sessions with realistic TLS fingerprints, and randomised request pacing to ensure high success rates and prevent IP bans.
We begin accumulating time-series data from the moment your pipeline is commissioned. We do not maintain a retroactive database of historical prices prior to engagement.
Our minimum engagements typically start with a defined list of brands or categories, delivered on a weekly cadence. Contact our engineering team to scope your specific data requirements and frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily brand catalogue sync or real-time price monitoring across 200K SKUs, we build and operate the infrastructure. Tell us your requirements.
