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GeoIp2\Model\City Object
(
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                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
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            [registered_country] => Array
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                                    [zh-CN] => 俄亥俄州
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            [traits] => Array
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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
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                    [names] => Array
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                            [de] => Nordamerika
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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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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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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
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                    [names] => Array
                        (
                            [de] => USA
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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
                (
                )

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

        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
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                            [fr] => États Unis
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                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => 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
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.107
                    [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
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                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

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

                    [validAttributes:protected] => Array
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                            [0] => confidence
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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
)
Weekly E-commerce Price Comparison in Amazon India - Trends & Insights-01

Introduction

In the rapidly evolving babycare and kids’ product industry, competition has never been more intense. D2C (Direct-to-Consumer) brands are scaling rapidly, often competing head-to-head with established marketplaces like FirstCry. With over 100 million product listings across thousands of categories, FirstCry has become the largest baby and kids’ marketplace in India. For D2C businesses, tracking competitors on such a vast platform requires advanced data-driven solutions. Manual monitoring or traditional research methods cannot keep pace with the speed of today’s eCommerce.

This is where Web Scraping FirstCry Data and leveraging the FirstCry API for Competitor Intelligence come into play. With automation, businesses can extract real-time competitor information—covering pricing, product assortments, promotions, and customer feedback. In fact, brands using APIs for competitor intelligence achieve up to 40% faster insights than those relying on static reports.

Throughout this blog, we’ll dive deep into how businesses can benchmark D2C brands using FirstCry API data, extract competitive insights, and leverage Actowiz Solutions’ expertise in FirstCry API Data Extraction to gain measurable business value. Each section will highlight key challenges, problem-solving approaches, 2020–2025 projections, and multiple data tables that show why advanced intelligence tools are indispensable in today’s D2C ecosystem.

Why Traditional Methods Fail in Tracking Competitors?

Competitor analysis has traditionally relied on manual research, survey-based insights, and delayed industry reports. While these methods may have sufficed a decade ago, they fall short in today’s fast-paced eCommerce market. For D2C brands operating in the babycare segment, where new products launch weekly and customer preferences shift quickly, lagging insights can cost millions in lost opportunities.

The FirstCry Competitor Insights API addresses these challenges by offering real-time visibility into product catalogs, pricing structures, promotional strategies, and customer sentiment. Instead of waiting months for market surveys, brands can access competitor information within seconds.

Key Challenges with Traditional Methods
  • Delay in insights – Reports often cover data that is already outdated.
  • Inaccuracy – Surveys don’t represent the entire competitive landscape.
  • Scalability issues – Monitoring thousands of SKUs manually is impractical.
  • Lack of granularity – Reports rarely include SKU-level pricing, stock, and promotions.
Market Growth Trends (2020–2025)
Year Indian Babycare Market (USD Bn) CAGR (%) Data Dependency on APIs (%)
2020 6.8 9.5 10
2021 7.6 11.0 14
2022 8.9 12.8 18
2023 10.2 14.5 24
2024 11.8 16.0 31
2025 13.6 17.2 40

The increasing reliance on APIs for competitor insights indicates how traditional methods are becoming obsolete.

Why FirstCry API for Competitor Intelligence Wins?

  • Speed: Extract competitor insights 40% faster than reports.
  • Scale: Monitor 100M+ product listings simultaneously.
  • Accuracy: Track real-time price fluctuations and promotions.
  • Benchmarking power: Enable competitor benchmarking for D2C brands with FirstCry API at SKU and seller levels.

With this, D2C businesses move from reactive strategies to proactive market positioning, ensuring they never fall behind.

Unlocking D2C Market Intelligence with FirstCry API

The D2C ecosystem is driven by agility—brands that adapt quickly to market dynamics outperform slower competitors. This agility is powered by D2C Market Intelligence Tools that transform raw data into business-ready insights.

The FirstCry API Data Extraction framework allows businesses to capture SKU-level details such as pricing, stock availability, seller ratings, and delivery times. Combined with advanced analytics, brands gain the ability to identify trends, track competitor playbooks, and implement counter-strategies in real time.

Use Case: Promotional Intelligence

Imagine a D2C diaper brand competing with multinational players on FirstCry. Using Web Scraping API Services, the brand can:

  • Monitor flash sales in real time.
  • Benchmark discounts against competitors.
  • Identify which products are bundled for higher sales.
2020–2025 API-Driven Insights Adoption
Year % of D2C Brands Using APIs % Relying on Manual Methods ROI Improvement with APIs (%)
2020 18 82 10
2021 26 74 14
2022 35 65 19
2023 46 54 24
2024 58 42 28
2025 72 28 33
How APIs Drive Results
  • Dynamic pricing: Adjust prices based on competitor updates.
  • SKU assortment optimization: Add or remove products based on gaps.
  • Promotional strategy alignment: Match or counter competitor offers.
  • Market entry intelligence: Assess categories and geographies before expansion.

Thus, APIs don’t just provide competitor benchmarking for D2C brands with FirstCry API—they unlock a predictive edge for future strategies.

Unlock growth with FirstCry API for Competitor Intelligence – benchmark D2C brands, gain 40% faster insights, and outpace competition.
Contact Us Today!

Extracting Product, Pricing & Sentiment Insights

What-is-RERA-Data-Extraction-

Pricing is one of the strongest competitive levers in eCommerce. With frequent price drops, discounts, and flash deals, brands must monitor competitor pricing closely. The FirstCry API for Competitor Intelligence allows businesses to extract product and pricing data from FirstCry API in real time.

Benefits of Real-Time Pricing Intelligence
  • Track competitor discounts instantly.
  • Monitor seasonal promotions (festivals, holidays).
  • Identify pricing thresholds that maximize conversions.

But pricing is just one side of the equation. Customer feedback through Ratings & Reviews Analytics is equally important. By analyzing customer sentiment, brands can identify competitor weaknesses, recurring complaints, or product features that consumers value most.

Sample Sentiment Analysis Data (2020–2025)
Year Positive Reviews (%) Neutral (%) Negative (%)
2020 68 20 12
2021 71 18 11
2022 74 16 10
2023 77 15 8
2024 80 13 7
2025 83 11 6
Actionable Insights from Reviews
  • Product quality gaps: Negative reviews highlight defects competitors ignore.
  • Feature demand: Repeated customer requests signal untapped opportunities.
  • Service gaps: Complaints about delivery times reveal fulfillment weaknesses.

Combining pricing intelligence with review analytics ensures a 360° competitor view. Brands not only benchmark prices but also interpret customer emotions, creating sharper offerings.

Building Competitive Edge with Data Extraction

The foundation of competitor intelligence lies in scalable data extraction. Manual research or inconsistent scraping doesn’t deliver accuracy or continuity. That’s why brands rely on Ecommerce Data Scraping Services integrated with the FirstCry API Data Extraction process.

Core Components of Data Extraction
  • Product catalogs: Complete SKU mapping across categories.
  • Pricing feeds: Real-time updates of competitor discounts.
  • Seller analytics: Ratings, reviews, and seller-level performance.
  • Cross-platform comparisons: Monitoring across marketplaces for broader benchmarking.
2020–2025 Impact of Automated Data Extraction
Year Avg. Time to Collect Competitor Data (Days) Cost Reduction (%) Accuracy (%)
2020 7 0 65
2021 4 10 72
2022 2.5 18 81
2023 1.5 25 88
2024 0.8 30 93
2025 0.5 35 97
Business Benefits
  • Speed to market: Product launches accelerated by 25–35%.
  • Inventory optimization: 20% fewer mismatches in stock planning.
  • Profitability: Pricing aligned with market dynamics improves margins by 15–20%.

This proves that benchmarking D2C brands using FirstCry API data isn’t just about tracking—it’s about operational efficiency and profitability.

From Raw Data to Actionable eCommerce Intelligence

Collecting data alone isn’t enough. The real competitive edge lies in turning raw datasets into eCommerce Data Intelligence. By combining structured APIs with visualization dashboards, D2C brands can translate complex competitor data into actionable business strategies.

Key Use Cases of eCommerce Data Intelligence
  • Regional performance insights: Identify under-served markets.
  • Dynamic pricing strategies: Auto-adjust based on competitor changes.
  • SKU optimization: Focus on high-margin, high-demand products.
  • Campaign benchmarking: Compare promotion effectiveness across competitors.
Forecast: 2020–2025 Business Impact of eCommerce Intelligence
Year Adoption of Data Intelligence (%) Revenue Growth vs Non-Adopters (%)
2020 12 5
2021 19 8
2022 28 13
2023 39 18
2024 52 23
2025 66 28
D2C Brand Benchmarking with APIs

By adopting D2C Brand Benchmarking frameworks, companies report:

  • 28% higher growth rates compared to non-adopters.
  • 22% improvement in promotional ROI.
  • 40% faster competitor response times.

This evolution turns the FirstCry API for Competitor Intelligence into a long-term growth enabler, ensuring brands not only survive but thrive in competitive ecosystems.

Turn raw data into actionable eCommerce intelligence – gain real-time insights, optimize pricing, and benchmark competitors with Actowiz Solutions.
Contact Us Today!

Long-Term Value of Competitor Benchmarking

Competitor benchmarking isn’t a one-time project—it’s an ongoing business process. In the babycare D2C market, competitor benchmarking for D2C brands with FirstCry API creates long-term advantages by continuously monitoring thousands of sellers, promotions, and consumer sentiment.

Key Long-Term Benefits
  • Market visibility: Understand evolving trends from 2020–2025.
  • Proactive strategies: Anticipate competitor moves.
  • Customer loyalty: Build products aligned with consumer sentiment.
  • Faster adaptation: Respond to competitor actions 40% quicker.
2020–2025 Long-Term Benchmarking Impact
Year Brands Using Benchmarking (%) Growth Rate Advantage (%) Market Adaptability (%)
2020 15 6 20
2021 22 9 26
2022 34 13 34
2023 47 18 42
2024 61 23 50
2025 75 28 59

By 2025, brands leveraging FirstCry Competitor Insights API will consistently outperform rivals with sustained growth and higher adaptability. This confirms benchmarking is not just tactical—it’s strategic.

How Actowiz Solutions Can Help?

Actowiz Solutions is a global leader in Web Scraping API Services, competitor intelligence, and Ecommerce Data Scraping Services. With a deep specialization in FirstCry API Data Extraction, Actowiz provides scalable and automated frameworks that help brands track competitors in real time.

Our solutions include:

  • SKU-level product & pricing feeds.
  • Automated sentiment analysis via Ratings & Reviews Analytics.
  • Benchmarking dashboards for D2C competitive strategy.
  • End-to-end eCommerce Data Intelligence pipelines.

With Actowiz, D2C brands can move from raw data to actionable strategies seamlessly. Our clients consistently report 40% faster insights, improved campaign ROI, and stronger consumer loyalty.

Whether you’re looking to monitor thousands of SKUs, benchmark pricing, or gain predictive market insights, Actowiz offers the expertise, automation, and scalability you need to succeed.

Conclusion

The D2C babycare and kids’ market is set to grow exponentially between 2020 and 2025. In such a dynamic environment, static reports and manual research are no longer enough. To stay ahead, brands must rely on FirstCry API for Competitor Intelligence to track competitors, benchmark D2C strategies, and gain 40% faster insights.

With Actowiz Solutions, businesses can transform competitive intelligence into sustainable growth. From FirstCry Competitor Insights API to Ecommerce Data Scraping Services and eCommerce Data Intelligence, Actowiz delivers complete solutions for real-time intelligence.

Ready to benchmark smarter and grow faster? Contact Actowiz Solutions today to harness the power of the FirstCry API for Competitor Intelligence! You can also reach us for all your mobile app scraping, data collection, web scraping , and instant data scraper service requirements!

GeoIp2\Model\City Object
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                            [fr] => Columbus
                            [ja] => コロンバス
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                            [ru] => Колумбус
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                            [zh-CN] => 北美洲
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                )

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                            [zh-CN] => 美国
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            [location] => Array
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            [postal] => Array
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            [registered_country] => Array
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                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
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                            [iso_code] => OH
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                                    [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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    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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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
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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    [country:protected] => GeoIp2\Record\Country Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
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                            [es] => Estados Unidos
                            [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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                    [0] => en
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            [validAttributes:protected] => Array
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                    [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] => 216.73.216.107
                    [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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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.

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Coffee / Beverage / D2C

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Operations Manager, Beanly Coffee

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Real Estate

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Real-time RERA insights for 20+ states

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Data Analyst, Aditya Birla Group

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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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3x Faster

improvement in operational efficiency

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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

Industry:

Quick Commerce

Result

Enhanced

stock tracking across SKUs

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

Growth Analyst, TheBakersDozen.in

✓ Improved rank visibility of top products

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

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Sep 22, 2025

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Tracking Inflation Impact on Grocery Baskets Using U.S. Supermarket Data

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Wine vs. Beer vs. Spirits - Alcohol Consumption Trends in Travel Hubs (NYC, Dubai, London)

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Sep 22, 2025

FirstCry API for Competitor Intelligence – Benchmark Against D2C Brands to Gain 40% Faster Insights

Leverage FirstCry API for Competitor Intelligence to benchmark D2C brands, track 100M+ listings, and gain 40% faster insights for smarter growth.

Sep 21, 2025

How Real-Time Grocery Price Tracking in USA Helps Fight Inflation and Protect Consumer Budgets?

Leverage Real-Time Grocery Price Tracking in USA to monitor food costs, make smarter shopping choices, and protect consumer budgets from rising inflation.

Sep 20, 2025

Zomato Bar Menu Data Scraping for Beverage Analytics: Cocktails, Whisky & Beer Market Insights

Discover how Zomato Bar Menu Data Scraping provides actionable beverage analytics, tracking cocktails, whisky, and beer trends to optimize bar strategies and offerings.

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Tracking Inflation Impact on Grocery Baskets Using U.S. Supermarket Data

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Starbucks vs Dunkin Geographic Footprint Analysis - A U.S. Market Case Study

Explore the U.S. market with Starbucks vs Dunkin Geographic Footprint Analysis, revealing expansion trends, store distribution, and competitive insights.

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Tracking Rolex And Omega Watch Price Variations With Marketplace Crawlers for Pricing Intelligence

Discover how tracking Rolex and Omega watch price variations with marketplace crawlers delivered pricing intelligence, market insights, and competitive advantage.

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Wine vs. Beer vs. Spirits - Alcohol Consumption Trends in Travel Hubs (NYC, Dubai, London)

Explore Alcohol Consumption Trends in Travel Hubs comparing wine, beer, and spirits in NYC, Dubai, and London with key insights and data analysis.

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Scrape OTA vs Direct Booking Data from USA, UK & UAE to Compare Travel Revenue & Booking Patterns

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Extract Festive Sale Data from Amazon, Flipkart & Reliance — 90% flash-sale alerts; 50+ brands analyzed

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