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(
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                            [ru] => Колумбус
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                            [pt-BR] => América do Norte
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                            [zh-CN] => 北美洲
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                            [ru] => США
                            [zh-CN] => 美国
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                                    [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
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                            [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
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [iso_code] => US
                    [names] => 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
                (
                    [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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            [validAttributes:protected] => Array
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        )

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

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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                    [4] => names
                    [5] => type
                )

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.115
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
                )

            [validAttributes:protected] => Array
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                    [0] => autonomousSystemNumber
                    [1] => autonomousSystemOrganization
                    [2] => connectionType
                    [3] => domain
                    [4] => ipAddress
                    [5] => isAnonymous
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                    [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
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
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                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
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                            [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
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                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
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                    [time_zone] => America/New_York
                )

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

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

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

Introduction

In today’s global retail landscape, price transparency and competitiveness define success. Consumers can easily compare prices across marketplaces like Amazon, eBay, and AliExpress — so brands must know what competitors are charging in every region. This makes International Pricing Intelligence essential for companies wanting to grow globally.

Between 2020 and 2025, global e-commerce is projected to expand at an impressive CAGR of 14.7%, with cross-border online sales expected to hit $4.8 trillion by 2025. Retailers now sell to multiple countries simultaneously and must adjust prices dynamically for local markets. Extracting accurate, real-time pricing data is no longer optional — it’s a competitive advantage.

Actowiz Solutions helps you achieve this advantage by offering precise Amazon Product Data Scraping, eBay Data Extraction, and AliExpress Scraping Services. By learning how to Extract eCommerce Listings globally and using the right Competitor Price Analysis Tool, you can stay ahead of price changes and protect your margins.

This blog explains why extracting global listings is critical, how to do it, the role of AI, key benefits, and how Actowiz Solutions provides industry-leading Price Scraping Services for brands worldwide. Let’s dive in.

Why Extract Global Listings?

Brands that sell internationally can’t afford to guess what competitors are charging. A pair of shoes selling for $80 on Amazon USA could be priced at $70 on Amazon UK. If you miss this, you lose sales to international buyers using price comparison tools.

According to eMarketer, 56% of online shoppers compare prices across multiple countries before purchasing. From 2020 to 2025, this trend will grow as logistics and payment methods improve for cross-border buyers.

Year	Cross-Border Shoppers (%)	Global E-commerce ($T)
2020	45%	$2.5
2021	48%	$2.9
2022	50%	$3.3
2023	53%	$3.6
2024	55%	$4.2
2025	58%	$4.8

By using Amazon Product Data Scraping, eBay Data Extraction, and AliExpress Scraping Services, businesses can track these differences and close pricing gaps. Extract eCommerce Listings from all versions of Amazon, eBay, and AliExpress to avoid leaving revenue on the table.

Global leaders rely on a Competitor Price Analysis Tool to scrape product listings from Amazon international sites, monitor promotions, and react fast. If your competitors drop prices during local sales events, your International Pricing Intelligence must catch that immediately.

Actowiz Solutions helps you collect product prices across Amazon, eBay, and AliExpress with automation and accuracy — so you’re never caught off guard. For global brands, these insights are the foundation for winning price strategies in every market.

How to Extract eCommerce Listings Effectively?

Extracting product listings from global marketplaces is complex due to local languages, layouts, and anti-bot protections. That’s why smart retailers use advanced Scrape Amazon, eBay, AliExpress Data tools that adapt to site changes and bypass blocks

Between 2020 and 2025, the number of brands using automated scraping has increased by 65%, replacing manual monitoring teams that miss real-time shifts.

Year	Brands Using Automation (%)	Avg. Data Accuracy (%)
2020	30%	78%
2021	40%	83%
2022	50%	87%
2023	58%	91%
2024	63%	94%
2025	70%	98%

To succeed, you must use tools that can scrape product listings from Amazon international sites and handle language differences, currency conversions, and real-time updates.

Actowiz Solutions deploys smart bots for Amazon Product Data Scraping, eBay Data Extraction, and AliExpress Scraping Services — ensuring you Extract eCommerce Listings accurately and at scale.

A good Competitor Price Analysis Tool combines scraping with AI-driven insights to detect suspicious price wars or sudden drops. For example, Actowiz’s system helps brands collect product prices across Amazon, eBay, and AliExpress, compare them in dashboards, and adjust prices dynamically.

With 24/7 monitoring and compliance checks, brands stay ahead of global shifts. This is real International Pricing Intelligence in action — turning raw data into competitive strategies that boost profits.

Unlock global growth today — extract eCommerce listings effectively and stay ahead with real-time pricing insights. Contact Actowiz Solutions now to power your success!

Contact Us Today!

Benefits of International Pricing Intelligence

Investing in International Pricing Intelligence unlocks major benefits for retailers selling globally. By combining Price Scraping Services with AI, you see where you’re overpriced or underpriced, and fix it instantly.

From 2020 to 2025, brands that adopted AI-based pricing saw up to 25% higher profit margins compared to those using outdated manual checks.

Year	AI-Adopting Brands (%)	Avg. Margin Increase (%)
2020	20%	12%
2021	30%	15%
2022	38%	18%
2023	45%	21%
2024	52%	23%
2025	60%	25%

International Pricing Intelligence helps you:

• React instantly to global price shifts
• Prevent profit loss from currency fluctuations
• Adjust discounts during local shopping festivals
• Build consumer trust with fair pricing

Retailers using Pricing Intelligence Services for Retailers or a Competitor Price Analysis Tool are better equipped to handle sudden changes in competitor pricing or supply chain disruptions.

Actowiz Solutions helps you scrape product listings from Amazon international sites, Extract Product Prices from Amazon, and Scrape Product Price Data from eBay — all while complying with marketplace policies.

This means no guessing — just clear, data-driven pricing moves that grow market share in every region you serve.

Overcoming Challenges in Price Data Extraction

Scraping global marketplaces sounds easy but comes with hurdles. Sites like Amazon and eBay use captchas, anti-bot blocks, and location-based restrictions. Doing it wrong can lead to IP bans or bad data.

From 2020 to 2025, the demand for safe, compliant Price Scraping Services grew by 50%, showing that brands want reliable partners who deliver clean, structured data without legal risks.

Year	Demand for Safe Scraping (%)	Avg. Data Block Rate (%)
2020	40%	30%
2021	48%	25%
2022	55%	21%
2023	60%	18%
2024	66%	14%
2025	70%	10%

With Actowiz Solutions, you get robust Amazon Product Data Scraping, eBay Data Extraction, and AliExpress Scraping Services with built-in anti-block features. Our bots rotate IPs, mimic human browsing, and adapt to layout changes — so your International Pricing Intelligence stays fresh and legal.

Many retailers also worry about data freshness. Outdated prices can lead to overpricing or undercutting your own margins. That’s why real-time monitoring and AI-based checks are must-haves for any Competitor Price Analysis Tool today.

Trust Actowiz to help you collect product prices across Amazon, eBay, and AliExpress reliably and keep your pricing accurate worldwide.

The Role of Automation and AI

AI isn’t the future — it’s the now. Between 2020 and 2025, AI-based Pricing Intelligence AI Services adoption has skyrocketed because brands need real-time insights, not yesterday’s numbers.

Year	AI Automation in Pricing (%)	Manual Tracking (%)
2020	22%	78%
2021	35%	65%
2022	45%	55%
2023	55%	45%
2024	63%	37%
2025	70%	30%

Actowiz Solutions uses smart bots to Scrape Amazon, eBay, AliExpress Data, then layers AI on top for pattern detection, competitor moves, and demand shifts. Instead of just raw data, you get actionable alerts — for example, if your competitor suddenly drops prices in a specific country.

By automating how you scrape product listings from Amazon international sites, Extract Product Prices from Amazon, and Scrape Product Price Data from eBay, you gain a 24/7 competitive edge.

Retailers using AI-driven Competitor Price Analysis Tools report up to 30% faster price updates, fewer pricing errors, and stronger profit protection. Automation also frees up your teams to focus on strategic work, not spreadsheets.

With AI powering your International Pricing Intelligence, you can keep up with rapid market shifts and dynamic global promotions without missing a beat.

Embrace the power of automation and AI for smarter pricing decisions. Let Actowiz Solutions transform your International Pricing Intelligence — connect with us today!

Contact Us Today!

Staying Ahead with Multi-Market Insights

Your buyers shop across borders — so must your pricing strategy. Brands that fail to monitor international marketplaces risk missing out on huge profit opportunities or losing to local rivals.

Between 2020 and 2025, retailers investing in multi-market pricing tools saw global sales growth outpace single-market sellers by 40%.

Year	Multi-Market Growth (%)	Single-Market Growth (%)
2020	8%	5%
2021	10%	6%
2022	12%	7%
2023	14%	8%
2024	16%	9%
2025	18%	10%

With Actowiz’s Price Scraping Services, you can easily collect product prices across Amazon, eBay, and AliExpress, compare them in a central dashboard, and adjust your prices instantly. This is true International Pricing Intelligence in practice.

Whether you need to Extract Product Prices from Amazon or Scrape Product Price Data from eBay, our solutions handle the heavy lifting while you focus on strategy. Use our Competitor Price Analysis Tool to track local deals, holiday discounts, and competitor promotions globally.

In a world where every cent counts, Actowiz keeps your prices sharp, your profits healthy, and your brand trusted by buyers everywhere.

How Actowiz Solutions Can Help?

At Actowiz Solutions, we combine powerful Amazon Product Data Scraping, eBay Data Extraction, and AliExpress Scraping Services with smart AI and automation to deliver real-time International Pricing Intelligence.

Our custom Price Scraping Services can scrape product listings from Amazon international sites, monitor price drops, and deliver structured data to your systems — clean, fast, and always up-to-date.

By choosing Actowiz, you gain a trusted partner who understands global compliance and builds robust scrapers that adapt to site changes. Whether you need to Extract Product Prices from Amazon, Scrape Product Price Data from eBay, or manage global competitive insights, we have you covered.

Stay ahead of pricing wars, protect your margins, and react to global shifts instantly — that’s the power of our Pricing Intelligence Services for Retailers.

Conclusion

Global e-commerce competition won’t slow down — it will only intensify. To thrive, you must monitor every listing, every price point, and every promotion in real time. With Actowiz’s advanced International Pricing Intelligence, you can spot opportunities, avoid pitfalls, and win in every region you serve.

Stop relying on outdated manual checks. Start using automated, AI-driven Price Scraping Services to collect product prices across Amazon, eBay, and AliExpress effortlessly.

Ready to level up? Contact Actowiz Solutions today to unlock the full power of global price monitoring and stay ahead in the world’s fastest-growing markets. 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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    [raw:protected] => Array
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                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
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                            [ru] => США
                            [zh-CN] => 美国
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                                    [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
                        (
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    [country:protected] => GeoIp2\Record\Country Object
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                    [iso_code] => US
                    [names] => Array
                        (
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                            [zh-CN] => 美国
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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    [maxmind:protected] => GeoIp2\Record\MaxMind Object
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            [validAttributes:protected] => Array
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                    [0] => queriesRemaining
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        )

    [registeredCountry: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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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

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

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

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

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.115
                    [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 ▼

Select Service Web Scraping Real-Time API Access Data Dashboards Datasets Review & Sentiment Analysis Price Monitoring Custom Solution

Select Industry E-Commerce Quick Commerce Food Delivery Travel & OTA Grocery & Retail Real Estate Others

Target Country Web Scraping Services Mobile App Scraping Web and App Scraping API Datasets Dashboard

A$лвR$C$CHF¥Kčkr€£HK$FtRp₪₹kr¥₩Mex$RMkrNZ$₱złleikrS$฿₺$R Budget Range $500 - $1,000 - Starter Budget (POC/Single Site) $1,000 - $2,500 - Basic Plan (Small Business Needs) $2,500 - $5,000 - Growth Phase (Multi-site/Data Volume Projects) $5,000 - $10,000 - Business-Scale (Automation/API Integrations) $10,000 - $25,000 - Enterprise Projects (Real-Time Systems, Global Data) $25,000 - $50,000 - Enterprise+ (Custom Dashboards, Ongoing Support) $50,000+ - Strategic Partnership (End-to-End Data Ops)

Additional Trust Elements

✨ "1000+ Projects Delivered Globally"

⭐ "Rated 4.9/5 on Google & G2"

🔒 "Your data is secure with us. NDA available."

💬 "Average Response Time: Under 12 hours"

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 Galido

Co-Founder / Head of Product at Upright Data Inc.

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.”

Iulen Ibanez

CEO / Datacy.es

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!”

Febbin Chacko

-Fin, Small Business Owner

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

Request Demo Access

Our Data Drives Impact - Real Client Stories

Blinkit | India (Retail Partner)

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

✔ Scraped Data, SKU availability, delivery time

US Electronics Seller (Amazon - Walmart)

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

✔ Scraped Data, SKU availability, delivery time

Zepto Q Commerce Brand

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

✔ Scraped Data, SKU availability, delivery time

Actowiz Insights Hub

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

All

Blog

Case Studies

Infographics

Report

Oct 17, 2025

Building Historical Real Estate Price Datasets to Forecast Housing Trends – 15% Year-on-Year Price Variation Analysis

Build and analyze Historical Real Estate Price Datasets to forecast housing trends, track decade-long price fluctuations, and make data-driven investment decisions.

Scrape Diwali Real Estate Discounts: How Actowiz Solutions Analyzed 50,000+ Property Listings Across India

Actowiz Solutions scraped 50,000+ listings to scrape Diwali real estate discounts, compare festive property prices, and deliver data-driven developer insights.

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.

Competitive Product Pricing on Tesco & Argos Using Data Scraping to Uncover 30% Weekly Price Fluctuations in the UK Market

Discover how Competitive Product Pricing on Tesco & Argos using data scraping uncovers 30% weekly price fluctuations in UK market for smarter retail decisions.

Oct 17, 2025

Building Historical Real Estate Price Datasets to Forecast Housing Trends – 15% Year-on-Year Price Variation Analysis

Build and analyze Historical Real Estate Price Datasets to forecast housing trends, track decade-long price fluctuations, and make data-driven investment decisions.

Oct 17, 2025

How Travel Agencies in Italy Use Trenitalia Data Scraping for Route Optimization to Enhance Customer Experience?

Discover how Italian travel agencies use Trenitalia Data Scraping for Route Optimization to improve scheduling, efficiency, and enhance the overall customer experience.

Oct 16, 2025

Diwali 2025 Travel Trends & Price Insights – Where Indians Are Flying and How Data Predicts Demand

Discover where Indians are flying this Diwali 2025. Actowiz Solutions shares real travel data, price scraping insights, and booking predictions for top festive destinations.

Read More

Scrape Diwali Real Estate Discounts: How Actowiz Solutions Analyzed 50,000+ Property Listings Across India

Actowiz Solutions scraped 50,000+ listings to scrape Diwali real estate discounts, compare festive property prices, and deliver data-driven developer insights.

Scraping 250K Restaurant Menus: How Actowiz Solutions Decoded Diwali Dining Trends Across India

Actowiz Solutions used scraping of 250K restaurant menus to reveal Diwali dining trends, top cuisines, festive discounts, and delivery insights across India.

Tracking Diwali Barbie Resale & Pricing Data How Actowiz Solutions Mapped Real-Time Price Spikes and Global Collector Demand

Actowiz Solutions tracked Diwali Barbie resale prices and scarcity trends across Walmart, eBay, and Amazon to uncover collector insights and cross-market analytics.

Read More

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.

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.

Top 10 Most Ordered Grocery Items During Navratri 2025

Discover the top 10 most ordered grocery items during Navratri 2025. Explore popular festive essentials for fasting, cooking, and celebrations.

Read More

Competitive Product Pricing on Tesco & Argos Using Data Scraping to Uncover 30% Weekly Price Fluctuations in the UK Market

Discover how Competitive Product Pricing on Tesco & Argos using data scraping uncovers 30% weekly price fluctuations in UK market for smarter retail decisions.

Airline Ticket Price Trends - Scrape Airline Ticket Price Trend and Track 20–35% Market Volatility in U.S. & EU

Discover how Scrape Airline Ticket Price Trend uncovers 20–35% market volatility in U.S. & EU, helping airlines analyze seasonal fare fluctuations effectively.

Quick Commerce Trend Analysis Using Data Scraping - Insights from Nana Direct & HungerStation in Saudi Arabia

Quick Commerce Trend Analysis Using Data Scraping reveals insights from Nana Direct & HungerStation in Saudi Arabia for market growth and strategy.

Read More

Our perks are irreplaceable

Time Zone Flexibility

Benefit from the ease of collaboration with Actowiz Solutions, as our team is aligned with your preferred time zone, ensuring smooth communication and timely delivery.

Clear Communication

Our team focuses on clear, transparent communication to ensure that every project is aligned with your goals and that you’re always informed of progress.

Uncompromising Quality

Actowiz Solutions adheres to the highest global standards of development, delivering exceptional solutions that consistently exceed industry expectations

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