We extract product listings, ticket pricing, bundle deals, specification tables, and local stock availability from JB Hi-Fi. 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 Products & Specs objects from jbhifi.com.au. All fields typed and schema-versioned.
"sku": "589342", "title": "Samsung Galaxy S23 Ultra 256GB (Phantom Black)", "brand": "Samsung", "category": "Phones", "model_number": "SM-S918BZKAATS", "barcode": "8806094726055", "warranty_months": 24, "image_urls": "['https://cdn.jbhifi.com.au/img/v1/589342-1.jpg']"
| # | sku | title | brand | category | sub_category | model_number |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Deals objects from jbhifi.com.au. All fields typed and schema-versioned.
"sku": "589342", "ticket_price": 1649.0, "regular_price": 1949.0, "discount_abs": 300.0, "discount_pct": 15.3, "on_sale": true, "online_exclusive": false, "price_timestamp": "2026-05-12T04:15:00Z"
| # | sku | ticket_price | regular_price | discount_abs | discount_pct | on_sale |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Stock & Delivery objects from jbhifi.com.au. All fields typed and schema-versioned.
"sku": "589342", "postcode": "2000", "suburb": "Sydney", "state": "NSW", "click_collect_available": true, "delivery_available": true, "stock_status": "In Stock", "store_stock_level": "High", "check_timestamp": "2026-05-12T04:15:22Z"
| # | sku | postcode | suburb | state | click_collect_available | delivery_available |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Reviews & Ratings objects from jbhifi.com.au. All fields typed and schema-versioned.
"review_id": "REV-992144", "sku": "589342", "star_rating": 5, "review_title": "Best camera on a phone", "review_text": "Upgraded from the S21 and the zoom is incredible.", "verified_buyer": true, "review_date": "2026-03-10", "helpful_votes": 12
| # | review_id | sku | reviewer_name | star_rating | review_title | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Search & Categories objects from jbhifi.com.au. All fields typed and schema-versioned.
"keyword": "oled tv", "category_path": "TVs & Audio > OLED TVs", "position": 3, "sku": "621004", "title": "LG C3 65" OLED EVO 4K Smart TV [2023]", "ticket_price": 3295.0, "badges": "['On Sale', "JB's Ticket"]", "scraped_at": "2026-05-12T04:18:11Z"
| # | keyword | category_path | position | sku | title | ticket_price |
|---|---|---|---|---|---|---|
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Our pipeline handles dynamic pricing, location-based stock checks, and strict Australian geo-blocking to deliver clean, structured retail data.
Capture JB's Ticket prices, regular pricing, clearance markdowns, and calculated discount percentages across all categories.
Input a list of Australian postcodes. We simulate local sessions to extract exact Click & Collect availability and delivery estimates per store.
Extract and normalise complex specification tables for TVs, laptops, and appliances into structured JSON key-value pairs.
Scrape native and syndicated customer reviews, capturing star ratings, text, verified buyer flags, and helpful votes.
Identify and extract promotional text, cashback offers, and multi-buy bundle deals attached to specific SKUs.
Monitor upcoming game, movie, and tech releases, capturing official release dates and pre-order pricing.
Bypass regional blocks and bot mitigation using high-quality Australian residential and mobile ISP proxies.
Track product ranking positions across specific category pages and search keywords to monitor visibility.
Run daily or hourly diffs. We maintain a hash index and only push records when prices, stock, or deals change.
Brief in. Clean data out.
Provide categories, keywords, SKU lists, and target postcodes. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, AU proxy rotation, and session management for jbhifi.com.au.
Schema validation, null-rate checks, price-outlier detection, and postcode accuracy verification.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Australian retailers deploy aggressive geo-blocking and bot mitigation. Here is how our infrastructure guarantees data delivery.
JB Hi-Fi restricts access from non-AU IP addresses. We route all requests through a dedicated pool of Australian residential and 4G mobile proxies, ensuring high success rates and avoiding ASN bans.
Stock status is not static; it requires a location context. Our Playwright workers inject target postcodes, hydrate the local session, and intercept the resulting API calls to capture accurate store-level inventory.
We utilise TLS fingerprint spoofing, realistic browser headers, and automated solver queues (CapSolver) to bypass front-end security layers without degrading pipeline velocity.
Retail sites frequently update promotional banners and button classes. We use multi-layered XPath and CSS fallback chains, combined with Next.js state extraction, to maintain schema stability.
Scraping 80,000+ SKUs daily generates redundant data. We hash field values per SKU and only emit records when a price drops, stock shifts, or a new review is posted, reducing your ingest costs.
Competing retailers monitor JB's Ticket prices and clearance markdowns to adjust their own pricing algorithms dynamically.
Supply chain analysts track Click & Collect availability across major postcodes to map regional demand and stockouts.
Consumer electronics manufacturers audit product listings to ensure correct imagery, specifications, and MAP compliance.
Analysts track review velocity and category expansion to identify trending product categories in the Australian market.
Marketing agencies scrape banner data and bundle offers to understand seasonal promotional cadences.
Procurement teams correlate out-of-stock indicators with price drops to model consumer demand curves.
"JB Hi-Fi holds the pulse of Australian consumer electronics pricing, but accessing local stock levels across 200 stores requires heavy infrastructure."
Extracting data from major Australian retailers means fighting aggressive geo-blocking and bot mitigation. We deploy AU-specific residential proxy pools and full browser rendering to capture accurate ticket prices and Click & Collect availability without triggering bans. You get structured data, we handle the network complexity.
Everything supported by our jbhifi.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 jbhifi.com.au scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing, stock, and product data is generally permissible for commercial intelligence. DataFlirt targets only public, non-authenticated endpoints. We do not extract personal data or bypass authentication walls. Clients should consult their legal counsel regarding specific usage of the extracted data.
We route all jbhifi.com.au traffic through dedicated Australian residential and mobile proxy pools. This ensures our requests appear as legitimate local traffic, bypassing ASN blocks commonly applied to data centre IPs.
Yes. You provide a list of target postcodes or store IDs. Our pipeline injects these into the session to extract local Click & Collect availability and delivery timeframes for each SKU.
For targeted SKU lists (e.g., top 5,000 products), we can run hourly pipelines. Full catalogue refreshes (80,000+ SKUs) are typically executed on a daily cadence, completing within a 4-hour window.
No. We only extract publicly visible prices, ticket deals, and clearance markdowns. Member-only pricing requires authenticated sessions, which falls outside our public data extraction mandate.
Our smallest configurations start at a defined SKU list or specific category tracking with daily delivery. Pricing scales based on the frequency of extraction and the number of postcodes required for stock hydration.
Yes. We provide a sample run of up to 500 SKUs, including price and stock data for a specified postcode, so you can validate schema fit and data quality before committing to a production pipeline.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue export or a continuous price-monitoring feed across 80,000 SKUs — we scope, build, and operate the pipeline. Tell us what you need.
