We extract grocery product listings, weekly specials, Everyday Rewards pricing, unit price intelligence, nutritional data, and availability signals from Woolworths. 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 woolworths.com.au. All fields typed and schema-versioned.
"product_id": "WOW_134827", "title": "Mainland Tasty Cheese Block 500g", "brand": "Mainland", "price": 7.50, "was_price": 9.00, "currency": "AUD", "unit_price": 1.50, "unit_of_measure": "per 100g", "is_on_special": true, "special_type": "HALF_PRICE", "country_of_origin": "New Zealand"
| # | product_id | barcode | title | brand | category | sub_category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Promotions & Specials objects from woolworths.com.au. All fields typed and schema-versioned.
"product_id": "WOW_134827", "special_type": "HALF_PRICE", "promo_price": 7.50, "was_price": 9.00, "discount_pct": 50, "special_start_date": "2026-05-07", "special_end_date": "2026-05-13", "everyday_rewards_price": 7.00
| # | product_id | special_type | promo_price | was_price | discount_pct | discount_abs |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Nutritional Data objects from woolworths.com.au. All fields typed and schema-versioned.
"product_id": "WOW_134827", "serving_size": "25g", "health_star_rating": 4.5, "energy_kj": 408, "protein_g": 6.3, "fat_total_g": 8.5, "sodium_mg": 162, "allergens": "milk", "dietary_claims": ["Gluten Free"]
| # | product_id | serving_size | servings_per_pack | energy_kj | energy_kcal | protein_g |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from woolworths.com.au. All fields typed and schema-versioned.
"query": "cheese block", "position": 1, "product_id": "WOW_134827", "is_on_special": true, "special_type": "HALF_PRICE", "is_own_brand": false, "unit_price": 1.50, "scraped_at": "2026-05-12T07:00:00Z"
| # | query | position | product_id | title | brand | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Woolworths scraper is purpose-built for the Australian grocery market: weekly specials cycles, unit price intelligence, Everyday Rewards member pricing, full nutritional panels, and own-brand vs national brand signals.
Title, brand, barcode, pack size, country of origin, and every metadata field Woolworths surfaces — including aisle-level category taxonomy.
Capture half-price, multi-buy, and Everyday Rewards specials with start and end dates — building a full promotions calendar for every product.
Every product's price per 100g, per 100ml, or per unit — the true comparison metric for grocery benchmarking, basket analysis, and inflation tracking.
Serving size, energy, protein, fat, carbohydrates, sugars, sodium, fibre, health star rating, allergens, and dietary claims — per product.
Capture member-exclusive Everyday Rewards prices alongside regular shelf prices — quantifying the loyalty discount layer for each promotion.
Flag Woolworths Macro, Woolworths Gold, and other private label products — a critical dimension for category mix and margin analysis.
Country of origin for food products — particularly valuable for supply chain analysts, food provenance researchers, and import tracking.
Track in-stock and out-of-stock status across the online catalogue — useful for supply chain signal monitoring and shelf gap analysis.
Weekly specials sync on Wednesdays, daily price monitoring, or real-time stock availability pipelines — all with change-detection diffing.
Brief in. Clean data out.
Provide product IDs, barcodes, category URLs, or keyword sets. We design the extraction schema and promotions cadence together.
We configure Scrapy / Playwright crawlers, Australian residential proxies, session management, and Woolworths-specific rate pacing.
Unit price completeness checks, nutritional panel null-rate audits, promotion date validation, and sample records before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Grocery data has its own rhythms — weekly specials cycles, Wednesday resets, and nutritional tables that vary in structure across categories. Here's how we handle them.
Woolworths resets its weekly specials on Wednesdays. Our pipeline schedules a full promotion sweep within hours of the Wednesday reset, capturing the new special type, promo price, was price, and end date for every affected product — building a complete promotions history from day one.
Woolworths expresses unit prices in different formats across categories — per 100g, per 100ml, per litre, per unit, per sheet. Our pipeline normalises unit prices into a consistent format per category, enabling true price-per-unit comparisons across pack sizes and brands.
Nutritional panel formats vary across product categories and supplier submissions. Our parser handles tabular, prose, and mixed-format nutritional presentations — extracting clean, queryable fields from each with consistent unit normalisation.
Woolworths serves availability and pricing data based on location. Our pipeline uses Australian residential ISP proxies to ensure product availability, Everyday Rewards pricing, and delivery option data matches what Australian consumers see.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, price outliers, nutrition completeness drops, and coverage gaps — and respond before you notice. SLA uptime is contractual, not aspirational.
FMCG brands and category managers track Woolworths shelf prices, unit prices, and promotional intensity to benchmark against Coles and IGA — and to calibrate promotional investment.
Economists, government bodies, and consumer advocacy groups use Woolworths pricing data as a high-frequency signal for food inflation tracking across categories.
Public health researchers, dietitians, and food policy teams use Woolworths nutritional data at category scale — health star ratings, sodium, sugar, and fibre across the entire supermarket range.
FMCG teams and retail analysts track the growing shelf presence and pricing of Woolworths own-brand products versus national brands across categories.
Procurement teams and food provenance researchers use country-of-origin data to map Australian vs imported product ratios across supermarket categories.
Trade marketing teams model the relationship between Woolworths promotion type (half-price, multi-buy, Rewards), promotion frequency, and baseline price recovery across brands.
"Woolworths and Coles together account for over 65% of Australian grocery retail — and their pricing, promotion, and nutritional data is among the most consequential FMCG dataset in the country."
Grocery scraping is operationally distinct from general e-commerce: weekly promotion cycles, unit price normalisation across pack formats, nutritional panel extraction, and Australian residential proxy requirements all demand domain-specific pipeline design. DataFlirt absorbs that complexity so your category managers and researchers can focus on the insights — not the infrastructure.
Everything supported by our woolworths.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 Woolworths' JavaScript-rendered product pages, promotional widgets, and nutritional panel tabs.
We maintain pools of Australian ISP residential proxies to ensure geo-consistent availability, Everyday Rewards pricing, and delivery option data. Rotation happens per-request with sticky sessions where required.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling aligned with Woolworths' Wednesday reset cycle, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About woolworths.com.au scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Woolworths is generally permissible under Australian law — consistent with international precedents such as hiQ v. LinkedIn. DataFlirt targets only public, non-authenticated product, pricing, nutritional, and promotional data. We do not extract personal data, circumvent authentication walls, or violate the Australian Privacy Act. We recommend clients review Woolworths' ToS independently and consult legal counsel for specific use cases.
Woolworths resets its weekly specials on Wednesdays. Our pipeline schedules a full promotional sweep within hours of Wednesday midnight, capturing the incoming special type, promo price, was price, and end date. Outgoing specials are flagged as expired with their last-seen data preserved — giving you a full promotion lifecycle history.
Yes. Everyday Rewards member prices are surfaced publicly on Woolworths product pages alongside regular shelf prices. We capture both, allowing you to quantify the loyalty discount layer per product and analyse the difference between member and non-member pricing over time.
Woolworths expresses unit prices in formats that vary by category — per 100g, per 100ml, per litre, per unit, per sheet. Our pipeline normalises these into a consistent format per product category, so cross-pack-size and cross-brand comparisons are directly queryable without additional transformation.
Yes — including energy (kJ and kcal), protein, total fat, saturated fat, carbohydrates, sugars, dietary fibre, sodium, health star rating, allergens, and dietary claims. Nutritional panel coverage depends on what Woolworths surfaces for each product, and we flag null rates per field in every delivery.
Our smallest packages start at a defined product or category set (typically 2,000–20,000 SKUs) with weekly delivery. For full-catalogue monitoring, nutritional research programmes, or custom schema requirements, we price based on volume and cadence.
Yes. We operate Woolworths and Coles pipelines with a shared normalised schema — allowing direct price, unit price, and promotion comparisons between the two major chains from a single data delivery. Contact us to scope a dual-retailer programme.
Absolutely. We provide a sample run of up to 500 products including pricing, promotions, and nutritional data as part of the pre-engagement scoping process — so you can validate schema fit and field completeness before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need weekly specials tracking, a full nutritional database, or a real-time grocery price monitor across 40K SKUs — we scope, build, and operate the pipeline. Tell us what you need.
