The client, a retail analytics firm, wanted deeper visibility into supermarket pricing movements to support competitive benchmarking and margin planning. They struggled with inconsistent data sources and manual tracking that limited timely insights across regions and product categories. To solve this, our team designed a scalable data extraction framework to Scrape Woolworths grocery price data accurately across categories, pack sizes, and locations.
We complemented this by integrating Coles grocery pricing data scraping, enabling side-by-side comparisons and uncovering pricing gaps, discount cycles, and promotional overlaps. By structuring the output into clean, analysis-ready formats, we delivered reliable Australian grocery price intelligence that supported trend analysis, forecasting, and executive reporting.
The final datasets included fresh produce, packaged goods, and private labels, organized as Supermarket produce pricing datasets with historical tracking and postcode-level granularity. As a result, with Web Scraping Price Elasticity for Citrus Products at Coles and Woolworths the client reduced manual effort, improved pricing decisions, and gained faster access to market signals, helping them confidently advise partners and strengthen their competitive positioning.
A Well-known Market Player in the Grocery Industry
iWeb Data Scraping Offerings: Leverage our data crawling services for Fresh produce price elasticity analysis.
The client faced growing difficulty in monitoring price movements across multiple grocery platforms due to fragmented and unreliable data sources. Manual collection methods made Citrus product price tracking inconsistent, delaying insights into seasonal fluctuations, supplier changes, and regional demand shifts.
They also struggled with scaling their operations, as existing tools failed to support high-volume Retail grocery data extraction across categories, locations, and frequent price updates. This led to gaps in historical records and limited visibility into competitor pricing behavior.
Additionally, the absence of centralized dashboards and automation reduced their ability to act quickly on trends. Without dependable Supermarket price analytics solutions, the client found it challenging to compare SKUs, measure promotion impact, or generate actionable reports for stakeholders.
These challenges collectively slowed decision-making, increased operational costs, and restricted the client’s ability to deliver timely, data-driven pricing intelligence in a highly competitive grocery market.
To overcome the client’s pricing intelligence gaps, we implemented an automated framework focused on Fresh produce pricing data collection across leading Australian retailers, including Woolworths and Coles. The solution captured daily prices, pack sizes, discounts, and stock status with high accuracy.
Our pipelines were optimized to extract Retail fruit price sensitivity data, helping the client analyze demand shifts, elasticity trends, and seasonal pricing variations at a regional level.
We also delivered a Real-time grocery price data API, enabling seamless integration with internal dashboards and analytics tools. This ensured continuous updates, reduced manual intervention, and improved decision speed.
The structured outputs supported historical tracking, competitive comparisons, and reliable reporting, empowering the client to make confident, data-driven pricing decisions.
| Supermarket | Category | Citrus Product | Brand / Label | Variety | Pack Size | Origin | Location | Regular Price (AUD) | Promo Price (AUD) | Discount % | Stock Status | Promotion Type | Date |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Woolworths | Citrus | Oranges | Woolworths Select | Navel | 1kg | Australia | Sydney NSW | 4.20 | 3.60 | 14% | In Stock | Weekly Special | 12-01-2026 |
| Woolworths | Citrus | Mandarins | Woolworths Fresh | Afourer | 1kg | Australia | Melbourne VIC | 4.80 | 4.20 | 12% | In Stock | Price Drop | 12-01-2026 |
| Woolworths | Citrus | Lemons | Woolworths Select | Eureka | 500g | Australia | Brisbane QLD | 3.90 | 3.50 | 10% | In Stock | Multi-buy | 12-01-2026 |
| Woolworths | Citrus | Limes | Woolworths Select | Tahitian | 250g | Australia | Perth WA | 4.50 | 4.00 | 11% | Low Stock | Short-Term Deal | 12-01-2026 |
| Coles | Citrus | Oranges | Coles Finest | Valencia | 1kg | Australia | Sydney NSW | 4.10 | 3.70 | 10% | In Stock | Flybuys Offer | 12-01-2026 |
| Coles | Citrus | Mandarins | Coles Fresh | Imperial | 1kg | Australia | Adelaide SA | 4.60 | 4.10 | 11% | In Stock | Seasonal Promo | 12-01-2026 |
The engagement delivered highly accurate and comprehensive Woolworths grocery datasets covering pricing, promotions, stock levels, and product variations across multiple regions. These datasets enabled the client to monitor market trends, competitor pricing strategies, and seasonal fluctuations effectively.
In parallel, the structured Coles grocery datasets provided side-by-side comparisons, helping identify pricing gaps, promotion overlaps, and opportunities for margin optimization.
The combined insights allowed the client to implement data-driven pricing strategies, forecast demand, and improve inventory planning with confidence.
Additionally, the integration of historical and real-time data created a robust analytical foundation, reducing manual effort and operational delays. The client now benefits from faster, smarter decision-making and a significant competitive advantage in the Australian grocery market.
"Working with iWeb Data Scraping has been transformative for our retail analytics operations. Their expertise in data scraping allowed us to gain accurate, real-time insights into supermarket pricing across multiple categories, something we struggled to achieve manually. The team was highly professional, responsive, and ensured our specific requirements were fully met. The structured datasets they provided helped us optimize pricing strategies, track competitor movements, and make informed decisions faster than ever before. We are extremely satisfied with the outcomes and look forward to continuing this partnership for future projects."
— Head of Pricing Analytics
Our system automates daily extraction, ensuring timely and consistent updates across categories, locations, and product types, so businesses always have the latest insights at their fingertips.
Yes, we offer flexible filters to target specific stores, product types, or regions, allowing clients to focus on the datasets most relevant to their analysis and strategy.
We use advanced scraping algorithms and validation checks to eliminate errors, duplicate entries, and inconsistencies, providing clean and reliable datasets ready for analytics.
Absolutely. We maintain structured historical records to enable trend analysis, seasonality insights, and competitive benchmarking over time.
Data is delivered in structured, analysis-ready formats compatible with Excel, BI dashboards, or APIs, ensuring seamless integration with minimal effort.
We start by signing a Non-Disclosure Agreement (NDA) to protect your ideas.
Our team will analyze your needs to understand what you want.
You'll get a clear and detailed project outline showing how we'll work together.
We'll take care of the project, allowing you to focus on growing your business.