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GeoIp2\Model\City Object
(
    [raw:protected] => Array
        (
            [city] => 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
                        )

                )

            [continent] => Array
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                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
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                            [de] => Nordamerika
                            [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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                    [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
                        )

                )

            [location] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [postal] => Array
                (
                    [code] => 43215
                )

            [registered_country] => Array
                (
                    [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
                        )

                )

            [subdivisions] => Array
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                    [0] => 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
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                )

            [traits] => Array
                (
                    [ip_address] => 216.73.216.24
                    [prefix_len] => 22
                )

        )

    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [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
                        )

                )

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

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

        )

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

                )

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

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

        )

    [locales:protected] => Array
        (
            [0] => en
        )

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

            [validAttributes:protected] => Array
                (
                    [0] => queriesRemaining
                )

        )

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

                )

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

            [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
)

Start Your Project

+1 ▼

What Role Does Web Scraping Play in E-Commerce Dynamic Pricing Strategies?

Feb 03, 2025
What-Role-Does-Web-Scraping-Play-in-E-Commerce-Dynamic-Pricing-Strategies

Introduction

In today's competitive e-commerce landscape, Dynamic Pricing Strategies are essential for businesses aiming to optimize revenue and maintain competitiveness. Web Scraping for E-Commerce plays a pivotal role in this process by providing real-time data on competitor pricing, market trends, and consumer behavior.

By leveraging Competitor Price Monitoring , companies can track competitors' pricing in real-time, enabling swift adjustments to their own prices. This agility ensures that businesses remain competitive and responsive to market changes.

Access to Real-Time Pricing Data allows businesses to implement Price Optimization Techniques, adjusting prices dynamically based on current market conditions and demand fluctuations. This approach maximizes revenue and enhances customer satisfaction by offering competitive pricing.

This blog shows how web scraping helps e-commerce businesses stay competitive by gathering real-time data on competitors' pricing, market trends, etc. for dynamic pricing.

Understanding Dynamic Pricing in E-Commerce

Understanding-Dynamic-Pricing-in-E-Commerce

Dynamic pricing in e-commerce involves adjusting product prices in real-time based on various factors such as demand fluctuations, competitor pricing, and market trends. This strategy enables businesses to optimize revenue and maintain competitiveness.

Concept of Dynamic Pricing

Dynamic pricing in e-commerce involves adjusting product prices in real-time based on various factors such as demand fluctuations, competitor pricing, and market trends. This strategy enables businesses to optimize revenue and maintain competitiveness.

Statistics

The global web scraper software market was valued at USD 634.53 million in 2023 and is projected to reach USD 1,721.81 million by 2032, growing at a CAGR of 13.29% over the forecast period (2024-2032).

Benefits

• Enhanced Competitiveness: By continuously monitoring competitor pricing, businesses can adjust their prices to remain competitive.

• Increased Profitability: Dynamic pricing allows businesses to capitalize on high-demand periods by adjusting prices accordingly.

Limitations

• Customer Perception: Frequent price changes can lead to customer dissatisfaction if not managed transparently.

• Implementation Costs: Developing and maintaining dynamic pricing algorithms can be resource-intensive.

• Market Volatility: Rapid market changes can make it challenging to set optimal prices consistently.

Incorporating dynamic pricing strategies, supported by tools like Web Scraping for E-Commerce, enables businesses to make data-driven decisions, optimize pricing models, and stay ahead in a rapidly evolving market.

The Role of Web Scraping in Dynamic Pricing

The-Role-of-Web-Scraping-in-Dynamic-Pricing

Dynamic Pricing is a strategy where businesses adjust prices in real-time based on market conditions, demand fluctuations, and competitor actions. This approach ensures that companies remain competitive and maximize revenue. A crucial tool in implementing dynamic pricing is Web Scraping, which involves extracting data from various online sources to inform pricing decisions.

Real-Time Market Insights

Web Scraping enables businesses to monitor competitors' prices and product offerings continuously. This real-time data allows companies to adjust their pricing strategies promptly, ensuring they remain competitive in the market. By tracking competitor prices for exact and similar products, businesses can adjust their prices to win maximum wallet share.

Price Elasticity Analysis

By tracking price changes and corresponding sales volumes, Web Scraping helps businesses understand customer price sensitivity. This analysis is crucial for setting optimal prices that balance competitiveness with profitability. For example, using historical sales data and scraping competitor prices, a company may discover that a particular product sells better at a slightly lower price than their current static price. They can then adjust the pricing dynamically to maximize revenue.

Market Trend Identification

Web Scraping tools can identify emerging market trends by analyzing data from various sources. This information enables businesses to anticipate market shifts and adjust their pricing strategies accordingly. By continuously collecting data on competitor pricing and product offerings, companies identify patterns that may not be immediately apparent through traditional market research methods.

Competitive Intelligence

By extracting data on competitors' pricing and promotional strategies, Web Scraping provides valuable insights that inform pricing decisions, helping businesses stay ahead in the market. This approach helps in identifying pricing patterns and optimizing pricing tactics to attract customers and increase sales.

Web Scraping plays a pivotal role in Dynamic Pricing by providing real-time data, facilitating price elasticity analysis, identifying market trends, and offering competitive intelligence. By leveraging these insights, businesses can optimize their E-Commerce Pricing Strategies, monitor competitor prices, and implement Pricing Automation to enhance profitability and maintain a competitive edge.

Optimize your dynamic pricing strategies with Actowiz Solutions' Web Scraping APIs—gain real-time market insights for competitive advantage.
Contact Us

Use Cases of Web Scraping in Dynamic Pricing

Use-Cases-of-Web-Scraping-in-Dynamic-Pricing

Web scraping has become an essential tool in implementing Dynamic Pricing Strategies within the e-commerce sector. By automating the collection of real-time data from various online sources, businesses can gain valuable insights into market trends, competitor pricing, and consumer behavior. This enables them to adjust their prices dynamically, ensuring competitiveness and maximizing profitability.

Competitor Price Monitoring

Web scraping allows businesses to track and analyze competitors' pricing strategies by extracting data from their websites. This information is crucial for understanding market positioning and making informed pricing decisions.

Real-Time Pricing Data

Access to up-to-date pricing information is vital for dynamic pricing. Web scraping provides real-time data on product prices, availability, and promotions across various platforms, enabling businesses to respond promptly to market fluctuations.

Price Optimization Techniques

By analyzing data gathered through web scraping, businesses can develop effective price optimization techniques. This involves setting optimal prices that attract customers while maintaining profitability, based on comprehensive market analyses.

Market Trend Analysis

Web scraping enables the collection of data on market trends, consumer behavior, and competitor activities. This information provides insights for strategic decision-making, helping businesses stay ahead of market demands.

Dynamic Pricing Algorithms

Integrating web-scraped data into pricing algorithms allows for automated price adjustments based on predefined criteria. This enhances competitiveness by ensuring that prices reflect current market conditions.

E-Commerce Pricing Tools

Utilizing specialized tools that leverage web scraping enables businesses to monitor and adjust prices effectively. These tools automate the extraction and analysis of pricing data, ensuring that businesses remain competitive.

Price Intelligence Solutions

Web scraping contributes to comprehensive market analyses, facilitating the development of price intelligence solutions that inform pricing strategies. These solutions provide businesses with the insights needed to optimize their pricing models.

Price Monitoring Services

Continuous oversight of market prices through web scraping ensures that businesses remain competitive by enabling timely price adjustments. This service is essential for maintaining price parity across various channels.

Automated Price Tracking

Automating the collection of pricing data through web scraping allows for efficient tracking of price changes. This supports dynamic pricing strategies by providing businesses with the data needed to make informed pricing decisions.

Pricing Data Extraction

Extracting pricing data from various sources through web scraping provides a comprehensive view of the market. This information is crucial for businesses to develop effective pricing strategies and stay competitive.

Competitive Pricing Analysis

Web scraping enables businesses to analyze competitors' pricing models, informing the development of effective dynamic pricing strategies. This analysis helps businesses understand market positioning and adjust their prices accordingly.

Web scraping is an essential component of Competitive Pricing Analysis, providing the data necessary for businesses to implement effective dynamic pricing strategies. By leveraging web scraping tools and techniques, companies can monitor competitor prices, analyze market trends, and optimize their pricing models to achieve a competitive edge in the e-commerce landscape.

Enhance your dynamic pricing strategies with Actowiz Solutions' Web Scraping APIs—gain real-time market insights for competitive advantage.
Contact Us

Case Studies

Case-Studies

Actowiz Solutions has implemented web scraping and data extraction services across various industries to enhance business operations. Here are some notable case studies:

Enhancing Q-Commerce Efficiency

Actowiz Solutions streamlined Quick Commerce (Q-Commerce) for a client by gathering dynamic grocery data, tracking inventory, and providing actionable insights. This approach enabled the client to make informed decisions, optimize inventory management, and improve overall efficiency.

Quick Service Restaurant Intelligence

For an American fast-casual restaurant chain, Actowiz Solutions developed a data analytics solution to monitor performance across various food delivery apps. By analyzing key performance indicators (KPIs), the client could adjust strategies to boost sales and enhance customer satisfaction.

Hotel Pricing Data Scraping

A hotel chain sought real-time insights into pricing trends from Booking.com. Actowiz Solutions provided a scraping service that extracted data on pricing, availability, and user reviews, enabling the client to adjust their pricing strategies and occupancy management effectively.

Restaurant Location Data Scraping

A bakery shop in Hawaii required data on restaurant locations across major U.S. metropolitan areas. Actowiz Solutions collected structured information, including menus and demographic data, to support the client's expansion and market analysis efforts.

Airline Data Mining

An airline company aimed to enhance service quality by leveraging data mining techniques applied to data obtained from Online Travel Agencies (OTAs). Actowiz Solutions assisted in extracting and analyzing this data to uncover valuable insights, leading to improved customer experiences and operational efficiencies.

Enhancing Product Data Quality

A leading e-commerce retailer faced challenges with inconsistent product information in their Product Information Management (PIM) system. Actowiz Solutions utilized web scraping APIs to improve data quality, ensuring accurate and consistent product listings, which enhanced online sales and customer satisfaction.

Scraping Product and Category Data

Actowiz Solutions extracted product and category data from ZeptoNow.com for a global e-commerce retailer. This data collection empowered the client with competitive analysis and strategic decision-making capabilities, aiding in market positioning and inventory management.

Optimizing Business Strategies through Food Data Scraping

An online food delivery and restaurant aggregator sought to optimize business strategies. Actowiz Solutions offered tailored food data scraping services, collecting information on partner restaurants and online platforms to support the client's operational and strategic goals.

Latest Statistics

Latest-Statistics

The integration of web scraping and dynamic pricing strategies has significantly transformed various industries, leading to substantial market growth and enhanced profitability.

Web Scraper Software Market Growth

The global web scraper software market has experienced remarkable growth:

  • Market Valuation: Valued at USD 634.53 million in 2023, the market is projected to reach USD 1,721.81 million by 2032, reflecting a Compound Annual Growth Rate (CAGR) of 13.29% from 2024 to 2032.
  • Market Trends: The increasing reliance on data-driven insights for strategic decision-making has propelled the demand for web scraping tools. These tools enable organizations to extract, analyze, and utilize data from various online sources, driving market expansion.
Dynamic Pricing Impact on Profit Margins

Implementing dynamic pricing strategies has proven beneficial for businesses:

  • Profit Increase: Companies adopting dynamic pricing have reported up to a 25% increase in profit margins.
  • Revenue Enhancement: Dynamic pricing allows businesses to adjust prices in real-time based on market demand, customer behavior, and competitor actions, leading to optimized revenue and profitability.

How Actowiz Solutions Can Help?

How-Actowiz-Solutions-Can-Help

Actowiz Solutions offers a comprehensive suite of services to enhance your business's pricing strategies and data collection processes. Here's how we can assist you:

Dynamic Pricing Strategies

Our Dynamic Pricing Software enables real-time price adjustments based on market conditions, competitor actions, and demand fluctuations. This approach ensures your pricing remains competitive and aligned with your business objectives.

Web Scraping for E-Commerce

We provide advanced Web Scraping Tools for Pricing, allowing you to extract valuable data from e-commerce platforms. This data includes product prices, reviews, and stock levels, empowering you to make informed decisions.

Competitor Price Monitoring

Our Price Monitoring Services offer real-time tracking of competitor pricing, enabling you to adjust your prices promptly and maintain a competitive edge.

Real-Time Pricing Data

We deliver Real-Time Pricing Data, ensuring you have the most current information to make timely and effective pricing decisions.

Price Optimization Techniques

Our Price Optimization Techniques utilize AI-driven algorithms to analyze market trends and consumer behavior, helping you set optimal prices that maximize revenue and profitability.

Market Trend Analysis

We conduct comprehensive Market Trend Analysis to identify emerging patterns and consumer preferences, allowing you to adapt your pricing strategies accordingly.

Dynamic Pricing Algorithms

Our Dynamic Pricing Algorithms adjust prices in real-time based on various factors, ensuring your pricing strategy remains effective and responsive to market changes.

E-Commerce Pricing Tools

We offer a range of E-Commerce Pricing Tools designed to streamline your pricing processes, from data collection to analysis and implementation.

Price Intelligence Solutions

Our Price Intelligence Solutions provide actionable insights into competitor pricing and market conditions, enabling you to make data-driven pricing decisions.

Web Scraping Tools for Pricing

We offer specialized Web Scraping Tools for Pricing, designed to extract pricing data from various online sources efficiently and accurately.

Dynamic Pricing Software

Our Dynamic Pricing Software integrates seamlessly with your existing systems, providing a user-friendly interface for managing and adjusting prices in real-time.

Price Monitoring Services

Our Price Monitoring Services continuously track market prices, alerting you to significant changes and enabling prompt responses to maintain competitiveness.

Automated Price Tracking

We provide Automated Price Tracking solutions that monitor competitor prices and market trends, ensuring your pricing strategy is always up-to-date.

Pricing Data Extraction

Our Pricing Data Extraction services collect and organize pricing information from various sources, providing you with structured data for analysis and decision-making.

Competitive Pricing Analysis

We conduct Competitive Pricing Analysis to evaluate your pricing strategy against competitors, identifying opportunities for improvement and optimization.

By leveraging our expertise in these areas, Actowiz Solutions can help you develop and implement effective pricing strategies, optimize revenue, and maintain a competitive advantage in the market.

Conclusion

Integrating pricing, monitor competitors, and analyze market trends effectively. By leveraging real-time pricing data and price optimization techniques, companies can enhance profitability and maintain a competitive edge.

Actowiz Solutions specializes in providing tailored web scraping tools for pricing, dynamic pricing software, and price intelligence solutions to support these objectives. Our services include automated price tracking, pricing data extraction, and competitive pricing analysis, all designed to deliver actionable insights for informed decision-making.

To learn more about how Actowiz Solutions can assist your business in implementing effective pricing strategies, contact us! You can also reach us for all your mobile app scraping , data collection, web scraping service , and instant data scraper service requirements!

GeoIp2\Model\City Object
(
    [raw:protected] => Array
        (
            [city] => 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
                        )

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                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [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
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
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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
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [postal] => Array
                (
                    [code] => 43215
                )

            [registered_country] => Array
                (
                    [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
                        )

                )

            [subdivisions] => Array
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                    [0] => 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
                                )

                        )

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            [traits] => Array
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                    [ip_address] => 216.73.216.24
                    [prefix_len] => 22
                )

        )

    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [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
                        )

                )

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

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

        )

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

                )

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

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

        )

    [locales:protected] => Array
        (
            [0] => en
        )

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

            [validAttributes:protected] => Array
                (
                    [0] => queriesRemaining
                )

        )

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

                )

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

            [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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Organic Grocery / FMCG

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Improved

competitive benchmarking

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“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

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Quick Commerce

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Aarav Shah, Senior Data Analyst, Mensa Brands

✓ 28% product availability accuracy

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Quick Commerce

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improvement in operational efficiency

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“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

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Beverage / D2C

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Faster

Trend Detection

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“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

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Enhanced

stock tracking across SKUs

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in 6 hrs across Lel.6

Appzon AirPdos Pro

Price
Drop −12 thr

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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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Blinkit | India (Retail Partner)

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

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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"

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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

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

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

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

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

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