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Weekly E-commerce Price Comparison in Amazon India - Trends & Insights-01

Introduction

Australia's liquor retail market has experienced a remarkable transformation since 2020, driven by online discovery, digital marketing, and evolving consumer behavior. Dan Murphy's, one of the largest liquor retailers in Australia, has become a goldmine of public data — revealing deep insights into how shoppers choose between categories like vodka and whiskey.

Through Scraping Consumer Preferences on Dan Murphy's Australia, Actowiz Solutions analyzed over 50,000 product listings and 1.2 million customer reviews to reveal shifts in purchasing behavior, seasonal preferences, and price sensitivity between 2020 and 2025. These insights go beyond raw numbers — they showcase how brands can leverage structured web data to refine product placement, pricing strategies, and inventory planning.

By integrating AI-driven analytics with scalable web scraping APIs, businesses can now Extract Dan Murphy's Liquor Data for Vodka and Whiskey Trends, identify buying triggers, and forecast demand cycles — giving them a competitive advantage in Australia's evolving liquor industry.

Understanding the Data Landscape

The goal of Scraping Consumer Preferences on Dan Murphy's Australia was to establish a data-backed understanding of liquor category performance and customer sentiment. Over a five-year period, Actowiz analyzed changes in product availability, review sentiment, and pricing structures across vodka, whiskey, gin, and rum categories.

Year Total Alcohol Listings Vodka SKUs Whiskey SKUs Avg. Rating (Vodka) Avg. Rating (Whiskey)
2020 32,400 7,100 9,800 4.2 4.5
2021 38,200 8,500 10,400 4.3 4.6
2022 44,600 9,800 11,700 4.4 4.5
2023 48,900 10,200 12,100 4.5 4.6
2024 50,300 10,700 12,800 4.5 4.6
2025 (Proj.) 53,000+ 11,100 13,400 4.6 4.6

The results clearly show steady SKU expansion in both categories, with whiskey maintaining slightly higher ratings. Vodka's growth outpaced whiskey's in terms of new listings, indicating rising experimentation and premiumization trends post-2022.

To achieve these insights, Actowiz deployed Web Scraping Services and Web Scraping API Services to collect structured datasets from public Dan Murphy's listings, reviews, and product metadata while ensuring full compliance with ethical data extraction norms.

Category Trends — Vodka vs Whiskey (Consumer Behavior & Sentiment)

Analyzing category performance revealed that while whiskey historically dominated premium sales, vodka captured a broader demographic between 2022 and 2024. Using Extract Dan Murphy's Liquor Data for Vodka and Whiskey Trends, Actowiz identified four key variables driving consumer preference shifts: affordability, brand diversity, flavor innovation, and promotional timing.

Year Vodka Avg. Price (AUD) Whiskey Avg. Price (AUD) Vodka Sentiment (Pos%) Whiskey Sentiment (Pos%) Top Growth Brand (Vodka) Top Growth Brand (Whiskey)
2020 38.5 62.2 73% 82% Smirnoff Glenfiddich
2021 39.8 65.0 75% 81% Absolut Johnnie Walker
2022 42.3 67.5 77% 83% Grey Goose Chivas Regal
2023 45.7 70.4 81% 85% Grey Goose Jameson
2024 47.1 72.6 82% 84% Belvedere Monkey Shoulder
2025 (Proj.) 48.4 74.0 84% 85% Belvedere Glenfiddich

Through Scrape Consumer Behavior Data from Dan Murphy's Aus, Actowiz uncovered that younger demographics (ages 25–34) increasingly favor flavored and mid-tier vodka brands, while whiskey continues to dominate among older consumers (ages 35–55) seeking heritage and craftsmanship.

The 2025 projection indicates that while whiskey retains emotional loyalty, vodka benefits from novelty-driven experimentation — a pattern confirmed by rising searches for "ready-to-drink vodka mixes" on Dan Murphy's.

Discover vodka vs whiskey trends on Dan Murphy's — leverage data-driven insights to optimize pricing, promotions, and inventory decisions today.
Contact Us Today!

Regional & Seasonal Preferences Across Australia

To map geographic variations, Actowiz conducted Tracking Consumer Preferences for Vodka vs Whiskey using Dan Murphy's online listings filtered by location. Data revealed sharp differences between coastal and inland regions, as well as pronounced seasonal buying peaks around holidays.

Region Vodka Share (2024) Whiskey Share (2024) Top Season Sales Growth (2020–2025)
NSW 52% 48% Summer +24%
VIC 48% 52% Winter +21%
QLD 57% 43% Summer +29%
WA 50% 50% Spring +18%
SA 44% 56% Autumn +17%

In Queensland and New South Wales, vodka dominates summer consumption thanks to cocktail culture and beach events, while whiskey surges during colder months in Victoria and South Australia.

By combining this data with Vodka vs Whiskey Popularity Analysis via Dan Murphy's Australia, Actowiz delivered insights into regional promotions, bundle strategies, and holiday marketing alignment — enabling liquor brands to localize their campaigns effectively.

This section also leveraged Unlocking Liquor Market Trends in Australia, providing visibility into season-driven inventory management, and guiding distributors toward smarter stock allocation.

Price & Sentiment Correlation Analysis (2020–2025)

Price and perception often move in tandem in the alcohol sector. Using Scraping Consumer Preferences on Dan Murphy's Australia, Actowiz analyzed how price fluctuations influence consumer sentiment scores and overall sales performance across vodka and whiskey brands.

The findings show that whiskey maintains higher loyalty despite pricing volatility, while vodka's sentiment improves consistently with stable pricing and innovative flavors.

Year Avg. Vodka Price (AUD) Avg. Whiskey Price (AUD) Vodka Sentiment (%) Whiskey Sentiment (%) Avg. Review Volume (Vodka) Avg. Review Volume (Whiskey)
2020 38.5 62.2 73 82 9,200 12,100
2021 39.8 65.0 75 81 10,600 13,500
2022 42.3 67.5 77 83 12,000 14,800
2023 45.7 70.4 81 85 13,700 15,900
2024 47.1 72.6 82 84 14,500 16,400
2025 (Proj.) 48.4 74.0 84 85 15,300 17,200

This correlation highlights that the sweet spot for vodka pricing is between AUD 40–48, while whiskey's optimal emotional value threshold sits between AUD 65–75. Using Extract Vodka vs Whiskey Data from Dan Murphy's Australia, Actowiz identified that consumer satisfaction drops by 6–8% when whiskey exceeds AUD 80 unless premium branding is effectively communicated.

Through Web Scraping consumer demand for Vodka vs Whiskey Aus, brands can detect when sentiment begins to diverge from sales, helping them recalibrate promotions and re-bundle offerings in real time.

Demand Forecasting & Predictive Insights

Using machine learning on top of Scraping Consumer Preferences on Dan Murphy's Australia, Actowiz developed a predictive model that integrates pricing, review sentiment, and stock availability to forecast demand patterns.

The data from 2020–2025 shows consistent seasonal oscillations, with vodka peaking around New Year and summer months, while whiskey peaks during winter and festive gifting periods.

Year Projected Vodka Demand Growth (%) Projected Whiskey Demand Growth (%) Peak Month (Vodka) Peak Month (Whiskey) Promo Conversion Rate (%)
2020 +6.8 +5.4 December June 4.2
2021 +9.3 +6.0 December July 4.6
2022 +10.8 +7.3 January July 4.8
2023 +11.1 +8.0 January June 5.2
2024 +12.4 +8.6 December June 5.5
2025 (Proj.) +13.7 +9.1 December July 5.8

The Vodka vs Whiskey Popularity Analysis via Dan Murphy's Australia indicates that rising disposable incomes and the "cocktail culture" in urban Australia are key factors in vodka's growing year-round demand. Meanwhile, whiskey's consistent winter dominance aligns with heritage positioning and gift-pack releases.

To achieve this granularity, Actowiz utilized Web Scraping Services to continuously Extract Dan Murphy's Liquor Data for Vodka and Whiskey Trends, updating predictive models with fresh data every 24 hours for real-time adaptability.

This ongoing monitoring has empowered distributors to forecast inventory requirements within ±4% accuracy, a significant improvement over traditional manual data review systems.

Unlock accurate vodka and whiskey demand forecasts with Actowiz — predict trends, optimize inventory, and boost sales using real-time data insights.
Contact Us Today!

Competitive Intelligence & Brand Positioning

A major outcome of Scraping Consumer Preferences on Dan Murphy's Australia was the creation of a competitive benchmarking model that compared 20 leading brands across pricing, promotions, and sentiment visibility.

Brand Category Top Performing Vodka Brand (2024) Top Performing Whiskey Brand (2024) Discount Frequency (%) Sentiment (Vodka) Sentiment (Whiskey)
Premium Belvedere Glenfiddich 22 88 91
Mid-range Absolut Johnnie Walker 28 84 89
Economy Smirnoff Grants 33 79 82

The eBay-style dynamic pricing system Dan Murphy's employs enables rapid market reactions to competitor discounts, often within 24–36 hours. Through Scraping Consumer Behavior Data from Dan Murphy's Aus, Actowiz observed that early discount detection resulted in a 14% faster inventory turnover for active retailers.

Combining Scraping Retail APIs for Price Parity Across Grocery Chains and eBay competitor analysis scraper UK–style models, the platform helped clients uncover hidden margins and promotional overlaps.

Leveraging Liquor Data Scraping Services, Actowiz provided daily data refresh cycles, generating over 1.5 million product–review–price triplets used to construct market intelligence dashboards for key partners.

How Actowiz Solutions Can Help?

Actowiz Solutions enables global retailers and data teams to capture clean, structured data from complex e-commerce ecosystems. Our expertise in Web Scraping API Services and Web Scraping Services ensures reliable, compliant, and high-frequency extraction across large datasets.

Whether you're analyzing liquor trends, conducting Wine and Alcohol Price Data Intelligence Services, or building predictive models, Actowiz delivers plug-and-play APIs and managed scraping solutions to handle dynamic pages, geolocation-based data variations, and price freshness.

From Extract Vodka vs Whiskey Data from Dan Murphy's Australia to tracking new listings via automated refresh cycles, our solutions transform raw data into actionable business intelligence for brand strategy, demand forecasting, and promotion optimization.

Conclusion

The results of Scraping Consumer Preferences on Dan Murphy’s Australia demonstrate how structured data transforms business decisions in the liquor sector. With clear evidence of shifting demographics, regional trends, and sentiment-driven brand loyalty, businesses can make confident choices in pricing, promotion, and positioning.

Actowiz Solutions empowers this transformation by combining scalable scraping infrastructure, domain expertise, and intelligent analytics to decode consumer intent at scale.

Ready to lead in Australia’s liquor data revolution? Partner with Actowiz Solutions today to access accurate, actionable, and ethically sourced insights through our Unlocking Liquor Market Trends in Australia and Liquor Data Scraping Services. Let’s turn data into strategy — because in a competitive market, precision isn’t optional, it’s your advantage.

You can also reach us for all your mobile app scraping, data collection, web scraping , and instant data scraper service requirements!

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                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                    [5] => type
                )

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.24
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
                )

            [validAttributes:protected] => Array
                (
                    [0] => autonomousSystemNumber
                    [1] => autonomousSystemOrganization
                    [2] => connectionType
                    [3] => domain
                    [4] => ipAddress
                    [5] => isAnonymous
                    [6] => isAnonymousProxy
                    [7] => isAnonymousVpn
                    [8] => isHostingProvider
                    [9] => isLegitimateProxy
                    [10] => isp
                    [11] => isPublicProxy
                    [12] => isResidentialProxy
                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
                    [16] => mobileNetworkCode
                    [17] => network
                    [18] => organization
                    [19] => staticIpScore
                    [20] => userCount
                    [21] => userType
                )

        )

    [city:protected] => GeoIp2\Record\City Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => names
                )

        )

    [location:protected] => GeoIp2\Record\Location Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [validAttributes:protected] => Array
                (
                    [0] => averageIncome
                    [1] => accuracyRadius
                    [2] => latitude
                    [3] => longitude
                    [4] => metroCode
                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

        )

    [postal:protected] => GeoIp2\Record\Postal Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => 43215
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => confidence
                )

        )

    [subdivisions:protected] => Array
        (
            [0] => GeoIp2\Record\Subdivision Object
                (
                    [record:GeoIp2\Record\AbstractRecord:private] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                    [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                        (
                            [0] => en
                        )

                    [validAttributes:protected] => Array
                        (
                            [0] => confidence
                            [1] => geonameId
                            [2] => isoCode
                            [3] => names
                        )

                )

        )

)
 country : United States
 city : Columbus
US
Array
(
    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
    [asn] => AS16509
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)

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From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape Structure Analyze Visualize

Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.

Find Insights Use AI to connect data points and uncover market changes. Meanwhile.

Move Forward Predict demand, price shifts, and future opportunities across geographies.

Industry:

Coffee / Beverage / D2C

Result

2x Faster

Smarter product targeting

★★★★★

“Actowiz Solutions has been instrumental in optimizing our data scraping processes. Their services have provided us with valuable insights into our customer preferences, helping us stay ahead of the competition.”

Operations Manager, Beanly Coffee

✓ Competitive insights from multiple platforms

Industry:

Real Estate

Result

2x Faster

Real-time RERA insights for 20+ states

★★★★★

“Actowiz Solutions provided exceptional RERA Website Data Scraping Solution Service across PAN India, ensuring we received accurate and up-to-date real estate data for our analysis.”

Data Analyst, Aditya Birla Group

✓ Boosted data acquisition speed by 3×

Industry:

Organic Grocery / FMCG

Result

Improved

competitive benchmarking

★★★★★

“With Actowiz Solutions' data scraping, we’ve gained a clear edge in tracking product availability and pricing across various platforms. Their service has been a key to improving our market intelligence.”

Product Manager, 24Mantra Organic

✓ Real-time SKU-level tracking

Industry:

Quick Commerce

Result

2x Faster

Inventory Decisions

★★★★★

“Actowiz Solutions has greatly helped us monitor product availability from top three Quick Commerce brands. Their real-time data and accurate insights have streamlined our inventory management and decision-making process. Highly recommended!”

Aarav Shah, Senior Data Analyst, Mensa Brands

✓ 28% product availability accuracy

✓ Reduced OOS by 34% in 3 weeks

Industry:

Quick Commerce

Result

3x Faster

improvement in operational efficiency

★★★★★

“Actowiz Solutions' data scraping services have helped streamline our processes and improve our operational efficiency. Their expertise has provided us with actionable data to enhance our market positioning.”

Business Development Lead,Organic Tattva

✓ Weekly competitor pricing feeds

Industry:

Beverage / D2C

Result

Faster

Trend Detection

★★★★★

“The data scraping services offered by Actowiz Solutions have been crucial in refining our strategies. They have significantly improved our ability to analyze and respond to market trends quickly.”

Marketing Director, Sleepyowl Coffee

Boosted marketing responsiveness

Industry:

Quick Commerce

Result

Enhanced

stock tracking across SKUs

★★★★★

“Actowiz Solutions provided accurate Product Availability and Ranking Data Collection from 3 Quick Commerce Applications, improving our product visibility and stock management.”

Growth Analyst, TheBakersDozen.in

✓ Improved rank visibility of top products

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Real results from real businesses using Actowiz Solutions

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Thomas Galido
Co-Founder / Head of Product at Upright Data Inc.
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★★★★★
“I strongly recommend Actowiz Solutions for their outstanding web scraping services. Their team delivered impeccable results with a nice price, ensuring data on time.”
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Iulen Ibanez
CEO / Datacy.es
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1 min
★★★★★
“Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing highly recommended!”
Thomas Gallao
Febbin Chacko
-Fin, Small Business Owner
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1 min

See Actowiz in Action – Real-Time Scraping Dashboard + Success Insights

Blinkit (Delhi NCR)

In Stock
₹524

Amazon USA

Price Drop + 12 min
in 6 hrs across Lel.6

Appzon AirPdos Pro

Price
Drop −12 thr

Zepto (Mumbai)

Improved inventory
visibility & planning

Monitor Prices, Availability & Trends -Live Across Regions

Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.

✔ Scraped Data: Price Insights Top-selling SKUs

Our Data Drives Impact - Real Client Stories

Blinkit | India (Retail Partner)

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

US Electronics Seller (Amazon - Walmart)

With hourly price monitoring, we aligned promotions with competitors, drove 17%

✔ Scraped Data, SKU availability, delivery time

Zepto Q Commerce Brand

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

Actowiz Insights Hub

Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place

All
Blog
Case Studies
Infographics
Report
Oct 28, 2025

Scraping Consumer Preferences on Dan Murphy’s Australia - Unveiling 5-Year Trends Across 50,000+ Alcohol Listings (2020–2025)

Discover how Scraping Consumer Preferences on Dan Murphy’s Australia reveals 5-year trends (2020–2025) across 50,000+ vodka and whiskey listings for data-driven insights.

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Web Scraping Whole Foods Promotions and Discounts Data to Optimize Grocery Pricing Strategies

Discover how Web Scraping Whole Foods Promotions and Discounts Data helps retailers optimize pricing strategies and gain competitive insights in grocery markets.

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Scrape USA E-Commerce Platforms for Inventory Monitoring - Tracking 5-Year Stock Trends Across 50,000+ Online SKUs (2020–2025)

Scrape USA E-Commerce Platforms for Inventory Monitoring to uncover 5-year stock trends, product availability, and supply chain efficiency insights.

Oct 28, 2025

Scraping Consumer Preferences on Dan Murphy’s Australia - Unveiling 5-Year Trends Across 50,000+ Alcohol Listings (2020–2025)

Discover how Scraping Consumer Preferences on Dan Murphy’s Australia reveals 5-year trends (2020–2025) across 50,000+ vodka and whiskey listings for data-driven insights.

Oct 27, 2025

Scraping APIs for Grocery Store Price Matching - Comparing Walmart, Kroger, Aldi & Target Prices Across 10,000+ Products

Discover how Scraping APIs for Grocery Store Price Matching helps track and compare prices across Walmart, Kroger, Aldi, and Target for 10,000+ products efficiently.

Oct 26, 2025

How to Scrape The Whisky Exchange UK Discount Data to Track 95% of Real-Time Whiskey Deals Efficiently?

Learn how to Scrape The Whisky Exchange UK Discount Data to monitor 95% of real-time whiskey deals, track price changes, and maximize savings efficiently.

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Web Scraping Whole Foods Promotions and Discounts Data to Optimize Grocery Pricing Strategies

Discover how Web Scraping Whole Foods Promotions and Discounts Data helps retailers optimize pricing strategies and gain competitive insights in grocery markets.

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AI-Powered Real Estate Data Extraction from NoBroker to Track Property Trends and Market Dynamics

Discover how AI-Powered Real Estate Data Extraction from NoBroker tracks property trends, pricing, and market dynamics for data-driven investment decisions.

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How Automated Data Extraction from Sainsbury’s for Stock Monitoring Improved Product Availability & Supply Chain Efficiency

Discover how Automated Data Extraction from Sainsbury’s for Stock Monitoring enhanced product availability, reduced stockouts, and optimized supply chain efficiency.

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Scrape USA E-Commerce Platforms for Inventory Monitoring - Tracking 5-Year Stock Trends Across 50,000+ Online SKUs (2020–2025)

Scrape USA E-Commerce Platforms for Inventory Monitoring to uncover 5-year stock trends, product availability, and supply chain efficiency insights.

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Maximizing Margins - Scraping Online Liquor Stores for Competitor Price Intelligence to Monitor Competitor Pricing in the Online Liquor Market

Explore how Scraping Online Liquor Stores for Competitor Price Intelligence helps monitor competitor pricing, optimize margins, and gain actionable market insights.

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Real-Time Price Monitoring and Trend Analysis of Amazon and Walmart Using Web Scraping Techniques

This research report explores real-time price monitoring of Amazon and Walmart using web scraping techniques to analyze trends, pricing strategies, and market dynamics.

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