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GeoIp2\Model\City Object
(
    [raw:protected] => Array
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            [city] => Array
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                    [geoname_id] => 4509177
                    [names] => Array
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                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
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                    [names] => Array
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                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [country] => Array
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                    [iso_code] => US
                    [names] => Array
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                            [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
                        )

                )

            [location] => Array
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                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [postal] => Array
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                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
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                            [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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                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                )

            [traits] => Array
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                    [prefix_len] => 22
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        )

    [continent:protected] => GeoIp2\Record\Continent Object
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                            [es] => Norteamérica
                            [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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                    [iso_code] => US
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                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
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                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

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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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                )

            [validAttributes:protected] => Array
                (
                    [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
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                            [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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            [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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                    [4] => names
                    [5] => type
                )

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [ip_address] => 216.73.216.126
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
                )

            [validAttributes:protected] => Array
                (
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                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
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                    [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
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                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

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            [validAttributes:protected] => Array
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                )

        )

    [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
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                    [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
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                    [0] => code
                    [1] => confidence
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        )

    [subdivisions:protected] => Array
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            [0] => GeoIp2\Record\Subdivision Object
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                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
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                                    [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
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                            [0] => en
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                    [validAttributes:protected] => Array
                        (
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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
)

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  • Cruise Price Monitoring: CruiseOnly vs Expedia & Priceline

Cruise Price Monitoring - CruiseOnly vs Expedia & Priceline Reveals 12–15% Savings on Average

Cruise Price Monitoring reveals CruiseOnly offers 12–15% savings on average compared to Expedia & Priceline, helping travelers book smarter deals.

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GeoIp2\Model\City Object
(
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                            [es] => Columbus
                            [fr] => Columbus
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                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
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                            [es] => Norteamérica
                            [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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                    [iso_code] => US
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                            [ru] => США
                            [zh-CN] => 美国
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                                    [fr] => Ohio
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                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
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    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [names] => Array
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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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            [validAttributes:protected] => Array
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    [country:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
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                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
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                )

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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
                (
                    [0] => queriesRemaining
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        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
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                            [fr] => États Unis
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                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [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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                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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                    [3] => isoCode
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                )

        )

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

            [validAttributes:protected] => Array
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                    [15] => mobileCountryCode
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                )

        )

    [city:protected] => GeoIp2\Record\City Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [geoname_id] => 4509177
                    [names] => Array
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                            [fr] => Columbus
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                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
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                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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    [location:protected] => GeoIp2\Record\Location Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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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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        )

    [postal:protected] => GeoIp2\Record\Postal Object
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                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
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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
)
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Case Study Naver Store Seasonal Sales Analysis – Discount Trends During Korean Chuseok Festival-0

Introduction

The travel industry is increasingly relying on data-driven strategies to maximize revenue and offer competitive pricing. Actowiz Solutions specializes in Cruise price monitoring, providing businesses with real-time insights into pricing trends across platforms. By leveraging Ferry and Cruise Price Optimization, agencies can analyze dynamic fare fluctuations, identify the most profitable routes, and deliver competitive deals to customers. With CruiseOnly consistently outperforming Expedia and Priceline in average savings by 12–15%, understanding market dynamics has become critical for travel operators. Our advanced data solutions allow operators to track fares efficiently, gain a comparative overview, and respond proactively to market changes. The integration of automated monitoring and analytics ensures that agencies not only remain competitive but also optimize occupancy, customer satisfaction, and overall profitability. Cruise price monitoring is no longer a luxury—it’s a necessity for strategic decision-making in the modern travel marketplace.

The Client

Our client is a mid-sized travel agency specializing in cruise bookings across U.S., Europe, and Asia. Their primary focus was to deliver the best deals to customers while maintaining profitability amidst intense competition from major booking platforms like Expedia and Priceline. The client had a growing customer base that demanded transparent, accurate, and timely pricing information for cruise itineraries. Before partnering with Actowiz Solutions, the agency relied on manual tracking methods, which were time-consuming, error-prone, and insufficient to compete in a market where fare fluctuations occur daily. Their goal was to implement a system that could monitor multiple platforms, including CruiseOnly, Expedia, and Priceline, in real-time. By integrating our Cruise price monitoring solutions, the client aimed to compare fares effectively, optimize pricing strategies, and consistently offer the lowest prices to travelers while maximizing commission revenues.

Key Challenges

Key Challenges-01

The client faced several obstacles in maintaining a competitive edge. Manual fare tracking proved inefficient, often leading to missed opportunities for offering discounts or capturing early bookings. They struggled to identify the CruiseOnly vs Expedia price difference on specific itineraries, making it difficult to advise customers accurately. Additionally, keeping track of Priceline cruise deals and other competitive offers across multiple platforms required substantial resources. The agency also lacked a centralized system for Cruise fare comparison, which limited their ability to provide real-time recommendations to travelers. Understanding how to monitor cruise prices online across different markets and time zones posed a significant challenge.

Seasonal fluctuations in demand further complicated their operations. Summer routes were often oversubscribed, whereas winter months saw low occupancy, affecting revenue planning. Inconsistent data collection and delayed insights prevented timely decision-making. Without an automated system, the client could not track the cheapest cruises on Expedia vs Priceline or identify the best website to book affordable cruises, resulting in lost potential sales. Efficient Cruise ticket price tracking became essential to remain competitive, optimize revenue, and meet evolving customer expectations.

Key Solutions

Actowiz Solutions implemented a comprehensive Cruise price monitoring system tailored to the client’s needs. Using advanced Travel Data Scraping Services, we collected real-time fare data from CruiseOnly, Expedia, and Priceline, ensuring accurate and up-to-date insights. Our platform enabled the client to perform Price Comparison across multiple operators, highlighting savings opportunities and fare trends. By analyzing CruiseOnly vs Expedia deals, the agency could consistently identify which platform offered the most competitive rates for specific itineraries.

We developed a custom Cruise price tracker for best deals, allowing the client to monitor routes continuously and alert customers to price drops instantly. The solution also included reporting capabilities to compare seasonal and route-specific trends, providing insights into best cruise booking site deals. By integrating Price Monitoring Services, the agency gained actionable intelligence on fare fluctuations, enabling timely promotional campaigns and customer notifications.

Furthermore, Actowiz assisted the client in optimizing internal pricing strategies, allowing them to optimize prices dynamically according to market trends and seasonal demand. The system also facilitated comparing cruise booking platforms, ensuring that travelers received recommendations based on the lowest fares and highest value. This end-to-end solution empowered the client to increase booking efficiency, enhance customer satisfaction, and maintain a competitive advantage in a rapidly evolving market.

Client Testimonial

“Actowiz Solutions revolutionized our pricing strategy with their Cruise price monitoring tools. The ability to compare CruiseOnly, Expedia, and Priceline fares in real-time has significantly improved our booking accuracy and customer satisfaction. Our team can now offer the best deals instantly, track seasonal trends, and optimize fares efficiently. Actowiz’s solutions are intuitive, reliable, and have directly contributed to increased revenue and repeat bookings. The insights provided have become an integral part of our daily operations.”

— Head of Operations, Global Cruise Agency

Conclusion

In a competitive cruise travel market, accurate and timely pricing information is essential. Actowiz Solutions’ Cruise price monitoring system enables travel agencies to track fares from CruiseOnly, Expedia, and Priceline in real-time, ensuring customers receive the best deals while agencies maximize revenue. By leveraging Cruise price tracker for best deals, Price Monitoring Services, and Ferry and Cruise Price Optimization, operators can analyze market trends, compare platforms effectively, and make data-driven pricing decisions.

The system also helps agencies identify CruiseOnly vs Expedia price differences, monitor seasonal fare trends, and determine the best website to book affordable cruises. Actowiz empowers travel businesses to stay ahead in a dynamic market by providing actionable insights, improving booking efficiency, and enhancing customer satisfaction.

Start leveraging Actowiz Solutions’ Cruise price monitoring today to secure the lowest fares, maximize revenue, and deliver unmatched travel experiences!

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape → Structure → Analyze → Visualize
Explore Solutions Get a Custom Demo

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.

Ecommerce
Q-Commerce
Travel & OTA
Food Delivery
Real Estate
Social Media
Trusted by Global Leaders – Secured by International Standards

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.
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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
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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
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

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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

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Blog
Case Studies
Infographics
Report
Nov 06, 2025

Scraping Top Electronics Discount Insights - 10 Key Trends from Amazon, Walmart & Best Buy Data

Scraping Top Electronics Discount Insights to reveal 10 key trends from Amazon, Walmart & Best Buy. Discover real-time data on deals, prices & savings.

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D2C Beauty Brand: Price & Discount Tracking on Nykaa and Amazon | Case Study by Actowiz Solutions

See how Actowiz Solutions helped a D2C beauty brand monitor 15K SKUs across Nykaa, Amazon & Myntra, boosting festive ROI by 36% with price intelligence.

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Dark Store Location Optimization - Data-Driven Strategy Explained

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Top 10 Grocery Chains Locations in Florida 2025 – Dominating by Store Reach and Coverage

Discover the Top 10 Grocery Chains Locations in Florida 2025, highlighting store reach, market dominance, and strategic coverage across the state.
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Scraping Top Electronics Discount Insights - 10 Key Trends from Amazon, Walmart & Best Buy Data

Scraping Top Electronics Discount Insights to reveal 10 key trends from Amazon, Walmart & Best Buy. Discover real-time data on deals, prices & savings.

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Scraping Noon Data for Track Prices, Ratings & Discounts — Get 99% Accurate Results in Real-Time

Scraping Noon Data for Track Prices, Ratings & Discounts with automated tools. Get real-time insights, 99% accuracy, and 3x faster price tracking.

Nov 05, 2025

How Real-Time Zepto Data Scraping API (95% Faster & 80% More Accurate) Helps Compare Grocery Prices Across Quick Commerce Platforms?

Compare grocery prices 95% faster and 80% more accurately using the Real-Time Zepto Data Scraping API for instant insights across quick commerce platforms.

Read More
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D2C Beauty Brand: Price & Discount Tracking on Nykaa and Amazon | Case Study by Actowiz Solutions

See how Actowiz Solutions helped a D2C beauty brand monitor 15K SKUs across Nykaa, Amazon & Myntra, boosting festive ROI by 36% with price intelligence.

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Tracking Product Availability & Price Drops on Black Friday 2025 Across E-Commerce Platforms

Monitor product availability and price drops on Black Friday 2025 with real-time insights, helping retailers optimize inventory, pricing, and maximize sales effectively.

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Scraping Zepto Grocery Data for Price Comparison to Power Real-Time Meal Planning Insights

Discover how Scraping Zepto Grocery Data for Price Comparison helped a meal planning app automate real-time pricing insights, optimize budgets, and enhance user experience.

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Dark Store Location Optimization - Data-Driven Strategy Explained

Uncover how data-driven strategies optimize dark store locations, boosting quick commerce efficiency, reducing costs, and improving delivery speed.

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Festive Price Surge Tracker: Amazon Fresh vs BigBasket vs JioMart in India

Track how prices of sweets, snacks, and groceries surged across Amazon Fresh, BigBasket, and JioMart during Diwali & Navratri in India with Actowiz festive price insights.

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Top 5 Brands Offering Deepest Discounts on Clothes This Navratri

Score big this Navratri 2025! Discover the top 5 brands offering the biggest clothing discounts and grab stylish festive outfits at unbeatable prices.

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Top 10 Grocery Chains Locations in Florida 2025 – Dominating by Store Reach and Coverage

Discover the Top 10 Grocery Chains Locations in Florida 2025, highlighting store reach, market dominance, and strategic coverage across the state.
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Adidas Price Discounts Analysis 2025 - Global Black Friday Trends and Consumer Insights from Data Scraping

Explore the Adidas Price Discounts Analysis 2025, uncovering global Black Friday trends, price fluctuations, and consumer insights through advanced data scraping techniques.
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Real-Time API Scraping from Myntra, Ajio & Nykaa to Track Fashion Trends and Pricing

Discover how Real-Time API Scraping from Myntra, Ajio & Nykaa provides actionable insights to track fashion trends, pricing, and market intelligence effectively.
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