We extract product listings, Kogan First pricing signals, seller intelligence, stock levels, and reviews from Kogan. 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 kogan.com.au. All fields typed and schema-versioned.
"sku": "KAQLED75XQ98JEA", "title": "Kogan 75" QLED 4K Smart TV", "brand": "Kogan", "price": 999.0, "kogan_first_price": 899.0, "stock_status": "In Stock", "rating": 4.6, "review_count": 342
| # | sku | title | brand | department | price | kogan_first_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Offers objects from kogan.com.au. All fields typed and schema-versioned.
"sku": "KAQLED75XQ98JEA", "current_price": 999.0, "original_price": 1299.0, "discount_pct": 23, "kogan_first_price": 899.0, "deal_badge": "Hot Deal", "timestamp": "2026-05-12T09:14:00Z"
| # | sku | current_price | original_price | discount_pct | kogan_first_price | free_shipping_eligible |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from kogan.com.au. All fields typed and schema-versioned.
"review_id": "REV9843210", "sku": "KAQLED75XQ98JEA", "rating": 5, "title": "Great value for money", "date": "2026-04-18", "verified_buyer": true
| # | review_id | sku | author | rating | title | body |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Marketplace Sellers objects from kogan.com.au. All fields typed and schema-versioned.
"seller_name": "TechStore AU", "seller_id": "SEL49281", "seller_rating": 4.8, "dispatch_time": "1-2 days", "location": "Sydney, NSW", "active_listings": 412
| # | seller_name | seller_id | seller_rating | dispatch_time | return_policy | active_listings |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Search Results objects from kogan.com.au. All fields typed and schema-versioned.
"keyword": "75 inch tv", "rank": 1, "sku": "KAQLED75XQ98JEA", "sponsored": false, "kogan_first_eligible": true, "price": 999.0, "scraped_at": "2026-05-12T09:14:33Z"
| # | keyword | rank | sku | title | price | sponsored |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Kogan scraper handles every layer of the platform: storefront listings, Kogan First pricing, third-party seller intelligence, and the review corpus. We manage the JavaScript rendering, session management, and anti-bot circumvention.
Title, specifications, descriptions, images, and every metadata field Kogan surfaces, scraped at SKU level with variant mapping.
Capture standard price, list price, deal badges, and Kogan First member pricing, timestamped per crawl.
Extract third-party seller details, seller ratings, dispatch times, and return policies for every offer on a listing.
Monitor stock status, low stock warnings, and shipping estimates to track inventory movements.
Full review text, star ratings, verified buyer flags, and review dates, paginated across all review pages.
Track organic versus sponsored position for any keyword, with Kogan First eligibility badge capture.
Monitor deal eligibility windows, promotional discounts, and clearance events.
Differentiate and track Kogan private label products against third-party marketplace offerings.
Run one-off bulk exports or configure continuous pipelines at hourly, daily, or real-time cadences with change-detection diffing.
Brief in. Clean data out.
Provide SKU lists, category URLs, keyword sets, or seller IDs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for kogan.com.au.
Schema validation, null-rate checks, price-outlier detection, and sample reviews before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Kogan employs bot detection and complex frontend hydration. Here is how we stay resilient, and why teams choose managed infrastructure over DIY.
Kogan's bot detection operates on TLS fingerprints, browser headers, and IP reputation. Our crawlers use residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management.
Kogan product pages and search results are heavily JavaScript-rendered. We run full Playwright browser sessions with JavaScript execution, lazy-load triggering, and dynamic price widget hydration.
Kogan changes its DOM structure frequently for A/B testing. Our selector strategy uses multiple fallback chains per field, including structured data extraction (LD+JSON), so a layout change does not break your data pipeline.
For large SKU catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost, storage bloat, and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, price outliers, schema drift, and coverage drops. SLA uptime is contractual, not aspirational.
Retailers and marketplace sellers monitor standard and Kogan First pricing to reprice and protect margin.
Brands track Kogan's private label product pricing, specifications, and review sentiment to understand competitive positioning.
Analysts track category saturation trends and new entrant launches to identify whitespace and investment opportunities.
Supply chain teams correlate stock availability signals and review velocity with sales momentum to improve procurement models.
Brands audit third-party sellers on the Kogan marketplace for MAP violations and unauthorised resellers.
ML teams use Kogan product and review datasets to train recommendation engines and sentiment classification models.
"Kogan represents a critical segment of Australian retail data, blending private label dominance with a vast third-party marketplace."
Extracting data from Kogan requires bypassing sophisticated bot protection and hydrating complex frontend frameworks. DataFlirt handles the proxy rotation, session management, and DOM parsing so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our kogan.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across AU regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About kogan.com.au scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Kogan is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product, pricing, and review data. We do not extract personal data or circumvent authentication walls.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. Our selectors have multi-layer fallback chains so DOM changes do not break the pipeline.
Yes. We extract standard pricing, list pricing, and Kogan First member pricing for all products where it is publicly displayed on the product or search page.
Real-time streaming pipelines achieve sub-60-minute latency for price and availability signals on a defined SKU set. Full catalogue refreshes at daily cadence complete within a 6-12 hour window.
Yes. We capture seller names, ratings, dispatch times, and return policies for third-party marketplace listings, differentiating them from Kogan direct inventory.
Our smallest packages start at a defined SKU list with weekly delivery. For larger catalogues or custom schema requirements, we price based on volume and delivery frequency. Contact us with your use case for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off product catalogue dump or a continuous price-monitoring feed across the Kogan marketplace, we scope, build, and operate the pipeline. Tell us what you need.
