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GeoIp2\Model\City Object
(
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            [city] => Array
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                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
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                            [zh-CN] => 北美洲
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                            [pt-BR] => EUA
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    [continent:protected] => GeoIp2\Record\Continent Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
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                            [de] => Nordamerika
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                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
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    [country:protected] => GeoIp2\Record\Country Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
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                            [de] => USA
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                            [es] => Estados Unidos
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                            [pt-BR] => EUA
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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    [locales:protected] => Array
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    [maxmind:protected] => GeoIp2\Record\MaxMind Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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            [validAttributes:protected] => Array
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                    [0] => queriesRemaining
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        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
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                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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    [traits:protected] => GeoIp2\Record\Traits Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [ip_address] => 216.73.216.153
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                    [network] => 216.73.216.0/22
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            [validAttributes:protected] => Array
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                    [0] => autonomousSystemNumber
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                    [2] => connectionType
                    [3] => domain
                    [4] => ipAddress
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                    [8] => isHostingProvider
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                    [11] => isPublicProxy
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                    [14] => isTorExitNode
                    [15] => mobileCountryCode
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                    [19] => staticIpScore
                    [20] => userCount
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    [city:protected] => GeoIp2\Record\City Object
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                    [geoname_id] => 4509177
                    [names] => Array
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                            [fr] => Columbus
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                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
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    [location:protected] => GeoIp2\Record\Location Object
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                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
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            [validAttributes:protected] => Array
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                    [1] => accuracyRadius
                    [2] => latitude
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                    [8] => timeZone
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    [postal:protected] => GeoIp2\Record\Postal Object
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                    [code] => 43215
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            [validAttributes:protected] => Array
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                    [0] => code
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    [subdivisions:protected] => Array
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            [0] => GeoIp2\Record\Subdivision Object
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                    [record:GeoIp2\Record\AbstractRecord:private] => Array
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                            [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
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)
 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
)
How to Scrape Integrate Vivino Wine Data to Improve Product Matching for an Alcohol Marketplace-01

Introduction

In the highly competitive alcohol marketplace sector, accurate product data is critical for customer trust and business growth. Yet, incomplete attributes, inconsistent naming conventions, and missing details often reduce catalog accuracy. To solve this, Actowiz Solutions developed a specialized solution to Scrape Integrate Vivino Wine Data, enabling the client to achieve precise catalog alignment and advanced enrichment. By leveraging Vivino’s global wine database, the marketplace could align listings with verified product information, consumer insights, and global benchmarks. Additionally, the ability to Extract Vivino Liquor Price Data offered pricing intelligence that fueled both consumer transparency and seller competitiveness. This integration not only solved the problem of duplicate product listings but also created an enriched digital shelf powered by authentic wine metadata, consumer reviews, and consistent categorization. With a focus on building smarter aggregation pipelines, Actowiz Solutions transformed the client’s catalog into a high-accuracy, customer-friendly experience.

The Client

The-Client

The client is a leading online alcohol marketplace operating across multiple US states with a catalog of over 500,000 liquor and wine SKUs. Their mission is to make fine wines and spirits more discoverable while ensuring compliance and product authenticity. However, their vast inventory made it difficult to manage duplicate listings and inconsistent product details, particularly for imported wines with localized naming conventions. To achieve scalability, they needed advanced Vivino Data Integration to streamline catalog enrichment, improve consumer trust, and enable better visibility across categories. By collaborating with Actowiz Solutions, they aimed to not only Scrape Integrate Vivino Wine Data but also standardize their catalog using Vivino’s detailed wine profiles, global ratings, and verified label recognition. The integration helped bridge the gap between fragmented seller uploads and customer-facing accuracy, ensuring that every listing represented a verified product identity.

Key Challenges

Key Challenges-01

The client faced multiple hurdles in creating a consistent and reliable digital shelf. First, duplicate listings were widespread, as sellers often uploaded the same wine under different spellings or partial attribute sets. This created confusion for buyers, undermining trust and increasing bounce rates. Second, the lack of a reliable Vivino wine data integration tool limited the marketplace’s ability to validate product details against a global reference database. Without accurate attributes such as grape variety, region, and vintage, the catalog appeared inconsistent. Another major challenge was enriching listings with reliable content, since sellers frequently skipped adding images or complete product descriptions, creating a fragmented experience for customers. Beyond catalog enrichment, they also lacked structured insights from reviews and ratings, missing out on opportunities for Ratings & Reviews Analytics. Competitor marketplaces were beginning to deploy Wine catalog enrichment using Vivino data, and the client risked falling behind if they could not offer accurate, review-driven, and fully optimized product pages. These gaps highlighted the urgent need for Actowiz Solutions’ specialized services.

Key Solutions

Key Solutions-01

Actowiz Solutions deployed an end-to-end data integration pipeline designed to Scrape Integrate Vivino Wine Data seamlessly into the client’s catalog. The system connected directly to Vivino’s wine repository, ensuring standardized attributes for every product. This enabled accurate Wine product matching with Vivino, reducing duplicate listings and streamlining catalog consistency. The solution also embedded Wine label recognition using Vivino, allowing for faster SKU validation based on bottle imagery. In parallel, Actowiz introduced Wine catalog enrichment using Vivino data, ensuring that listings displayed correct grape varieties, regions, and vintages. The client benefited from Vivino wine review data scraping, which enabled them to display authentic consumer feedback. Leveraging Matching wine products using reviews and ratings from Vivino, Actowiz enhanced trust and improved conversion rates. Additionally, Smart Alcohol Product Aggregation ensured the marketplace could manage overlapping SKUs across multiple sellers in one unified listing. The enriched data supported Vivino Wine Price Trend Analysis, empowering sellers to benchmark against industry averages while internal teams benefited from Product Matching Services, Assortment Analytics, and Ratings & Reviews Analytics for continuous optimization. Collectively, these solutions allowed the client to not only improve accuracy but also Improve alcohol listings using Vivino data, ensuring consumers received reliable and enriched shopping experiences.

Client Testimonial

"Actowiz Solutions transformed our product catalog with their ability to Scrape Integrate Vivino Wine Data seamlessly. The integration gave us unmatched accuracy, better customer engagement, and a reliable product-matching framework. Our duplicate listings reduced drastically, reviews and ratings became an integral part of product discovery, and our conversion rates improved significantly. With Actowiz’s expertise, we achieved exactly what we needed to compete in the alcohol e-commerce space."

— Head of Product Operations, US Alcohol Marketplace

Conclusion

This case study highlights how Actowiz Solutions’ expertise in data extraction and enrichment empowered an alcohol marketplace to gain control of its catalog and improve customer experience. By deploying advanced pipelines to Scrape Integrate Vivino Wine Data, the marketplace resolved duplication challenges, delivered consistent enrichment, and aligned listings with global wine standards. The integration of Vivino Wine Price Trend Analysis, customer-driven reviews, and Assortment Analytics ensured sustainable long-term value. Moreover, enhanced accuracy from Product Matching Services and Ratings & Reviews Analytics gave the marketplace a competitive edge. Actowiz Solutions continues to innovate by enabling retailers and marketplaces to adopt smarter tools for catalog enrichment, competitor benchmarking, and data-driven product visibility.

Partner with Actowiz Solutions today to achieve smarter wine product matching, seamless catalog enrichment, and long-term digital shelf success powered by Vivino data integration.

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:

Fintech / Digital Payments

Result

Accurate daily voucher &

cashback visibility across platforms

★★★★★

“Actowiz Solutions helped us automate daily voucher and cashback data collection across PhonePe, Paytm, Flipkart, and Hubble. The API-driven delivery significantly improved offer accuracy and operational efficiency.”

Product Manager, Fintech Platform (India)

✓ Daily voucher & cashback tracking via Push & Pull APIs

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

Trusted by Industry Leaders Worldwide

Real results from real businesses using Actowiz Solutions

★★★★★
'Great value for the money. The expertise you get vs. what you pay makes this a no brainer"
Thomas Gallao
Thomas Galido
Co-Founder / Head of Product at Upright Data Inc.
Product Image
2 min
★★★★★
“I strongly recommend Actowiz Solutions for their outstanding web scraping services. Their team delivered impeccable results with a nice price, ensuring data on time.”
Thomas Gallao
Iulen Ibanez
CEO / Datacy.es
Product Image
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
Product Image
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

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