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GeoIp2\Model\City Object
(
    [raw:protected] => Array
        (
            [city] => Array
                (
                    [geoname_id] => 2945358
                    [names] => Array
                        (
                            [de] => Brandenburg an der Havel
                            [en] => Brandenburg
                            [es] => Ciudad de Brandeburgo
                            [fr] => Brandebourg-sur-la-Havel
                            [ja] => ブランデンブルク・アン・デア・ハーフェル
                            [ru] => Бранденбург
                            [zh-CN] => 哈弗尔河畔勃兰登堡
                        )

                )

            [continent] => Array
                (
                    [code] => EU
                    [geoname_id] => 6255148
                    [names] => Array
                        (
                            [de] => Europa
                            [en] => Europe
                            [es] => Europa
                            [fr] => Europe
                            [ja] => ヨーロッパ
                            [pt-BR] => Europa
                            [ru] => Европа
                            [zh-CN] => 欧洲
                        )

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                    [iso_code] => DE
                    [names] => Array
                        (
                            [de] => Deutschland
                            [en] => Germany
                            [es] => Alemania
                            [fr] => Allemagne
                            [ja] => ドイツ連邦共和国
                            [pt-BR] => Alemanha
                            [ru] => ФРГ
                            [zh-CN] => 德国
                        )

                )

            [location] => Array
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                    [latitude] => 52.6171
                    [longitude] => 13.1207
                    [time_zone] => Europe/Berlin
                )

            [postal] => Array
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                    [code] => 14621
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            [registered_country] => Array
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                    [geoname_id] => 2921044
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                    [iso_code] => DE
                    [names] => Array
                        (
                            [de] => Deutschland
                            [en] => Germany
                            [es] => Alemania
                            [fr] => Allemagne
                            [ja] => ドイツ連邦共和国
                            [pt-BR] => Alemanha
                            [ru] => ФРГ
                            [zh-CN] => 德国
                        )

                )

            [subdivisions] => Array
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                    [0] => Array
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                            [geoname_id] => 2945356
                            [iso_code] => BB
                            [names] => Array
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                                    [es] => Brandenburgo
                                    [fr] => Brandebourg
                                    [ja] => ブランデンブルク州
                                    [pt-BR] => Brandenburg
                                    [ru] => Бранденбург
                                    [zh-CN] => 勃兰登堡
                                )

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            [traits] => Array
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                    [ip_address] => 185.220.101.129
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                )

        )

    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => EU
                    [geoname_id] => 6255148
                    [names] => Array
                        (
                            [de] => Europa
                            [en] => Europe
                            [es] => Europa
                            [fr] => Europe
                            [ja] => ヨーロッパ
                            [pt-BR] => Europa
                            [ru] => Европа
                            [zh-CN] => 欧洲
                        )

                )

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

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

        )

    [country:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 2921044
                    [is_in_european_union] => 1
                    [iso_code] => DE
                    [names] => Array
                        (
                            [de] => Deutschland
                            [en] => Germany
                            [es] => Alemania
                            [fr] => Allemagne
                            [ja] => ドイツ連邦共和国
                            [pt-BR] => Alemanha
                            [ru] => ФРГ
                            [zh-CN] => 德国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [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] => 2921044
                    [is_in_european_union] => 1
                    [iso_code] => DE
                    [names] => Array
                        (
                            [de] => Deutschland
                            [en] => Germany
                            [es] => Alemania
                            [fr] => Allemagne
                            [ja] => ドイツ連邦共和国
                            [pt-BR] => Alemanha
                            [ru] => ФРГ
                            [zh-CN] => 德国
                        )

                )

            [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] => 185.220.101.129
                    [prefix_len] => 28
                    [network] => 185.220.101.128/28
                )

            [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] => 2945358
                    [names] => Array
                        (
                            [de] => Brandenburg an der Havel
                            [en] => Brandenburg
                            [es] => Ciudad de Brandeburgo
                            [fr] => Brandebourg-sur-la-Havel
                            [ja] => ブランデンブルク・アン・デア・ハーフェル
                            [ru] => Бранденбург
                            [zh-CN] => 哈弗尔河畔勃兰登堡
                        )

                )

            [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] => 52.6171
                    [longitude] => 13.1207
                    [time_zone] => Europe/Berlin
                )

            [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] => 14621
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => confidence
                )

        )

    [subdivisions:protected] => Array
        (
            [0] => GeoIp2\Record\Subdivision Object
                (
                    [record:GeoIp2\Record\AbstractRecord:private] => Array
                        (
                            [geoname_id] => 2945356
                            [iso_code] => BB
                            [names] => Array
                                (
                                    [de] => Brandenburg
                                    [en] => Brandenburg
                                    [es] => Brandenburgo
                                    [fr] => Brandebourg
                                    [ja] => ブランデンブルク州
                                    [pt-BR] => Brandenburg
                                    [ru] => Бранденбург
                                    [zh-CN] => 勃兰登堡
                                )

                        )

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

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

                )

        )

)

 country : Germany

 city : Brandenburg

DE

Array
(
    [as_domain] => renewablefreedom.org
    [as_name] => Stiftung Erneuerbare Freiheit
    [asn] => AS60729
    [continent] => Europe
    [continent_code] => EU
    [country] => Germany
    [country_code] => DE
)

• Home
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• Mobile App Data Extraction Services – Android & iOS App Scraping | Actowiz Solutions

Mobile App Data Extraction Services – Android & iOS

Actowiz Solutions helps businesses unlock structured data from Android & iOS apps with 99.9% accuracy. Extract real-time insights from e-commerce, food delivery, travel, mobility, finance, and retail apps — delivered in clean, analytics-ready datasets.

• Extract product, pricing, reviews & delivery insights directly from mobile apps
• API & dashboard delivery in JSON/CSV/Excel, or real-time via REST APIs
• Compliant extraction with device emulation, proxy rotation, and geo-targeting
• Scale seamlessly — from thousands to millions of app data points per day
• AI-driven data cleaning, deduplication & sentiment tagging
• Global coverage: USA, UAE, UK, Europe, India, Singapore, Japan & more

99.9% uptime | Real-time app data feeds | Enterprise-grade SLAs

Request a Free Quote See Live Demo

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Why Mobile App Data Extraction Matters

Mobile app data extraction goes beyond website scraping. With 90% of user activity happening inside apps, it ensures brands don’t miss critical insights locked in Android & iOS ecosystems.

Apps Dominate Digital Behavior

90% of smartphone time is spent in apps, making them the richest source of customer data and engagement signals.

Exclusive In-App Data

Many offers, promotions, and user reviews exist only within apps and never surface on websites.

Competitive Intelligence

Benchmark pricing, delivery times, and in-app features across rival apps to stay ahead in the market.

Market Entry Insights

Understand hyper-local demand, basket sizes, and regional preferences before expanding into new cities or countries.

Real-Time Monitoring

Capture flash discounts, surge pricing, or availability changes as they happen, with real-time feeds.

Seamless Integrations

Clean, structured outputs (JSON, CSV, Excel, or API) delivered directly into your BI dashboards and workflows.

What We Extract from Android & iOS Apps

Mobile apps contain a wealth of hidden data that never makes it to websites. At Actowiz Solutions, we specialize in extracting structured, analytics-ready datasets from Android and iOS apps across industries. Our data pipelines ensure accuracy, scalability, and compliance, so businesses can rely on us for mission-critical insights. Here’s what we help you capture:

1. Product Listings

Mobile apps often display exclusive product details not found on websites. We extract titles, SKUs, categories, product descriptions, specifications, images, and metadata directly from apps. This helps retailers, brands, and research firms maintain updated catalogs, track new product launches, and benchmark competitors. Whether you need grocery SKUs from Instacart, electronics from Amazon, or fashion listings from Flipkart, our solutions ensure comprehensive, SKU-level coverage in real time.

2. Pricing & Discounts

App-only offers are increasingly common, especially in e-commerce, grocery, and ride-hailing platforms. We capture real-time product pricing, time-bound deals, coupons, flash sales, and bundle offers to help businesses optimize their pricing strategies. For example, FMCG brands use our data to benchmark discounts on Zepto or Talabat, while retailers leverage pricing insights from Walmart and Target apps. By tracking competitive pricing at scale, you can stay ahead of price wars and avoid revenue leakage.

3. Reviews & Ratings

Customer feedback inside apps offers unfiltered sentiment that drives purchase decisions. We extract reviews, star ratings, comments, and reviewer metadata to help businesses understand user satisfaction and pain points. Using AI-powered sentiment analysis, we categorize reviews into positive, neutral, or negative to deliver actionable intelligence. For example, QSR brands monitor Zomato and Uber Eats app reviews to refine menus and service, while fintech companies analyze app store feedback for feature improvements.

4. Delivery SLAs & Availability

Delivery speed has become a key differentiator in quick commerce and food delivery apps. We capture delivery windows, average speed promises, surge pricing during peak hours, and stock availability by region. This data helps logistics teams benchmark competitors and improve their own SLA compliance. For instance, tracking Instacart or Blinkit delivery times in different cities can highlight gaps in fulfillment strategies and reveal hyper-local performance insights.

5. Promotions & Ads

In-app banners, seasonal offers, loyalty points, and ad placements are highly targeted but often invisible to non-users. We extract promotions and ad creatives across apps to help businesses track competitor campaigns and assess ROI. Retailers can monitor Ramadan or Diwali offers on Carrefour and BigBasket apps, while travel brands benchmark airline fare ads on Skyscanner or Booking.com apps. With this data, marketing teams gain a competitive edge in campaign planning.

6. Search Results & Rankings

Search visibility inside apps is critical for discoverability. We capture in-app search results, keyword rankings, sponsored placements, and filters to help brands measure their visibility against competitors. For instance, tracking how a brand appears in Amazon or Noon app search results reveals share-of-shelf insights. Similarly, monitoring Uber ride availability by pin code helps identify demand hotspots. These insights are invaluable for SEO, ASO, and merchandising strategies.

7. User Engagement Metrics

Where accessible, we collect app-level engagement data such as downloads, session frequency, activity stats, and usage trends. This helps businesses understand adoption patterns and regional popularity. For example, app usage metrics from mobility apps like Lyft or Careem indicate demand shifts during events or festivals, while e-commerce brands track activity surges during Black Friday. With this data, businesses can align growth strategies with real-world user behavior.

By extracting structured datasets across product, pricing, promotions, reviews, delivery, and user engagement, Actowiz ensures that no critical insight locked inside apps goes unnoticed. Whether you’re in retail, FMCG, travel, or fintech, our mobile app data extraction services provide the intelligence needed to stay ahead of competition and respond to market shifts in real time.

Benefits of Choosing Actowiz for Mobile App Data Extraction

Extracting app data requires far more than basic scraping — it demands scalability, compliance, and precision. At Actowiz Solutions, we combine enterprise-grade infrastructure with real-time delivery and global coverage to help businesses capture mission-critical app insights.

Scalable Infrastructure

From tracking a few thousand app SKUs to extracting millions of data points across grocery, food delivery, and travel apps, our infrastructure is built to handle it all. Using distributed systems, cloud pipelines, and advanced device emulation, we ensure seamless scaling without downtime. Whether you need hourly delivery data from Blinkit or monthly property listings from Zillow, Actowiz provides a future-ready architecture that grows with your business needs.

99.9% Accuracy & Data Quality

We know app data is only valuable if it’s accurate. Our automated cleaning, deduplication, and validation pipelines guarantee 99.9% data accuracy. With AI-driven error detection, duplicate removal, and metadata normalization, your teams get analytics-ready datasets. For example, e-commerce clients receive clean SKU listings across Amazon and Walmart apps without missing fields, ensuring reliable insights for decision-making.

Compliance-First Approach

Mobile app scraping can be complex due to region-specific restrictions and compliance standards. At Actowiz, we follow ethical and compliant practices with IP rotation, throttling, and geo-specific device emulation. Our frameworks respect platform rules and ensure safe, regulation-aligned data collection. Businesses can confidently scale insights across USA, UAE, EU, and APAC markets without worrying about compliance risks.

Real-Time Data Feeds

Markets move fast, and apps update even faster. We provide real-time APIs and scheduled crawlers that deliver fresh datasets when you need them. For example, retailers monitor hourly flash sales in Walmart’s app, while mobility companies track Uber surge pricing by the minute. With live feeds, push APIs, or scheduled reports, Actowiz ensures you never miss a critical market shift.

Global Coverage

Our mobile app data extraction services cover 50+ countries, spanning North America, Europe, Middle East, Asia-Pacific, and Latin America. From hyper-local grocery insights in Mumbai to property listings in Dubai or ride-hailing trends in New York, we adapt to regional app ecosystems. With multi-country support and geo-specific targeting, global enterprises get consistent, comparable datasets to expand into new markets confidently.

Seamless Integrations

We deliver structured datasets in JSON, CSV, Excel, or through custom APIs directly into your BI tools and cloud platforms like AWS, GCP, Azure, or S3. Our goal is to reduce friction — so instead of raw files, you get ready-to-use intelligence plugged into your workflows. Whether you’re running Power BI dashboards or AI models, our data flows seamlessly into your ecosystem.

24/7 Monitoring & Dedicated Support

App environments change frequently, and crawlers need constant optimization. Our 24/7 monitoring systems detect issues, retries failed jobs, and ensure uninterrupted data delivery. Plus, with a dedicated account manager and support team, you get proactive assistance for scaling projects, troubleshooting, and new data requests. Actowiz works as an extension of your data team, ensuring consistency and reliability.

AI-Powered Insights

Beyond raw data, we enhance outputs with AI-driven enrichment — sentiment analysis, entity extraction, categorization, and trend detection. For example, review data scraped from Zomato is automatically tagged as positive/negative, helping restaurant chains act on real customer feedback without extra processing. This gives businesses actionable intelligence rather than just raw data dumps.

Sample Data Table

At Actowiz Solutions, we deliver structured, analytics-ready datasets extracted directly from Android & iOS apps. Data is provided in your preferred format — JSON, CSV, Excel, or via API — with frequency customized to your business needs (real-time, hourly, daily, or weekly). Below is an example of what mobile app data extraction looks like:

App Name	Data Extracted	Format	Region	Frequency
Instacart	Basket pricing, delivery SLAs, promotions	CSV	USA	Hourly
Zomato	Menus, ratings, reviews, delivery times	JSON	India	Daily
Uber	Ride fares, surge pricing, ETA tracking	Excel	UAE	Real-time
Booking.com	Hotel pricing, room availability, reviews	API	Global	Daily
Carrefour	Product SKUs, discounts, bundle offers	CSV	Middle East	Weekly
Zillow	Property listings, amenities, pricing	JSON	USA	Daily

Unlock More Data

Key Highlights:

• Flexible formats: JSON, CSV, Excel, or REST API
• Custom frequency: Real-time, hourly, daily, or scheduled
• Industry-ready: Retail, travel, food delivery, real estate, finance, and more
• Geo-coverage: Pin-code, city, country, or multi-region datasets

Case Studies – Mobile App Data Extraction in Action

Case Study 1: Quick Commerce Insights – UAE

A leading FMCG brand in Dubai wanted to monitor real-time pricing, delivery timelines, and promotions across Talabat, Carrefour, and Noon apps. Using Actowiz’s mobile app scraping solutions, they extracted structured data on basket pricing, discounts, delivery SLAs, and in-app campaigns. Within three months, the company identified a 25% delivery time gap compared to competitors and discovered that certain SKUs were consistently under-promoted. By adjusting logistics operations and aligning promotions with Carrefour’s Ramadan campaigns, the brand achieved a 17% improvement in delivery efficiency and a 12% increase in app-driven sales.

Case Study 2: Grocery Data Extraction – USA

A national retailer in California needed to monitor Instacart and Amazon Fresh app data for SKU availability, basket pricing, and delivery slots. Actowiz implemented real-time app crawlers that tracked 50,000+ grocery SKUs daily across Los Angeles and San Francisco. The data revealed that competitors were offering aggressive bundle discounts on organic products — a trend the client had overlooked. By replicating these offers and improving delivery speed guarantees, the retailer recorded a 20% increase in conversions and a 15% uplift in average basket value within a single quarter.

Case Study 3: Ride-Hailing Price Intelligence – Global

A mobility startup operating across India, UAE, and the UK wanted to understand how Uber, Lyft, and Careem apps handled surge pricing and regional fare fluctuations. Actowiz built a multi-country app monitoring solution that captured real-time ride fares, ETA tracking, and surge multipliers. Insights showed that Uber’s surge pricing in London and Dubai peaked during weekend evenings, while Careem maintained relatively stable rates in Riyadh. Using these insights, the client adjusted its pricing algorithm dynamically and rolled out localized promotions. The result: a 30% boost in rider acquisition and improved competitive positioning in three major markets.

These case studies demonstrate how mobile app data extraction transforms raw information into actionable intelligence across industries. From improving delivery performance to optimizing pricing strategies, Actowiz Solutions delivers measurable business outcomes worldwide.

GeoIp2\Model\City Object
(
    [raw:protected] => Array
        (
            [city] => Array
                (
                    [geoname_id] => 2945358
                    [names] => Array
                        (
                            [de] => Brandenburg an der Havel
                            [en] => Brandenburg
                            [es] => Ciudad de Brandeburgo
                            [fr] => Brandebourg-sur-la-Havel
                            [ja] => ブランデンブルク・アン・デア・ハーフェル
                            [ru] => Бранденбург
                            [zh-CN] => 哈弗尔河畔勃兰登堡
                        )

                )

            [continent] => Array
                (
                    [code] => EU
                    [geoname_id] => 6255148
                    [names] => Array
                        (
                            [de] => Europa
                            [en] => Europe
                            [es] => Europa
                            [fr] => Europe
                            [ja] => ヨーロッパ
                            [pt-BR] => Europa
                            [ru] => Европа
                            [zh-CN] => 欧洲
                        )

                )

            [country] => Array
                (
                    [geoname_id] => 2921044
                    [is_in_european_union] => 1
                    [iso_code] => DE
                    [names] => Array
                        (
                            [de] => Deutschland
                            [en] => Germany
                            [es] => Alemania
                            [fr] => Allemagne
                            [ja] => ドイツ連邦共和国
                            [pt-BR] => Alemanha
                            [ru] => ФРГ
                            [zh-CN] => 德国
                        )

                )

            [location] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 52.6171
                    [longitude] => 13.1207
                    [time_zone] => Europe/Berlin
                )

            [postal] => Array
                (
                    [code] => 14621
                )

            [registered_country] => Array
                (
                    [geoname_id] => 2921044
                    [is_in_european_union] => 1
                    [iso_code] => DE
                    [names] => Array
                        (
                            [de] => Deutschland
                            [en] => Germany
                            [es] => Alemania
                            [fr] => Allemagne
                            [ja] => ドイツ連邦共和国
                            [pt-BR] => Alemanha
                            [ru] => ФРГ
                            [zh-CN] => 德国
                        )

                )

            [subdivisions] => Array
                (
                    [0] => Array
                        (
                            [geoname_id] => 2945356
                            [iso_code] => BB
                            [names] => Array
                                (
                                    [de] => Brandenburg
                                    [en] => Brandenburg
                                    [es] => Brandenburgo
                                    [fr] => Brandebourg
                                    [ja] => ブランデンブルク州
                                    [pt-BR] => Brandenburg
                                    [ru] => Бранденбург
                                    [zh-CN] => 勃兰登堡
                                )

                        )

                )

            [traits] => Array
                (
                    [ip_address] => 185.220.101.129
                    [prefix_len] => 28
                )

        )

    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => EU
                    [geoname_id] => 6255148
                    [names] => Array
                        (
                            [de] => Europa
                            [en] => Europe
                            [es] => Europa
                            [fr] => Europe
                            [ja] => ヨーロッパ
                            [pt-BR] => Europa
                            [ru] => Европа
                            [zh-CN] => 欧洲
                        )

                )

            [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] => 2921044
                    [is_in_european_union] => 1
                    [iso_code] => DE
                    [names] => Array
                        (
                            [de] => Deutschland
                            [en] => Germany
                            [es] => Alemania
                            [fr] => Allemagne
                            [ja] => ドイツ連邦共和国
                            [pt-BR] => Alemanha
                            [ru] => ФРГ
                            [zh-CN] => 德国
                        )

                )

            [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] => 2921044
                    [is_in_european_union] => 1
                    [iso_code] => DE
                    [names] => Array
                        (
                            [de] => Deutschland
                            [en] => Germany
                            [es] => Alemania
                            [fr] => Allemagne
                            [ja] => ドイツ連邦共和国
                            [pt-BR] => Alemanha
                            [ru] => ФРГ
                            [zh-CN] => 德国
                        )

                )

            [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] => 185.220.101.129
                    [prefix_len] => 28
                    [network] => 185.220.101.128/28
                )

            [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] => 2945358
                    [names] => Array
                        (
                            [de] => Brandenburg an der Havel
                            [en] => Brandenburg
                            [es] => Ciudad de Brandeburgo
                            [fr] => Brandebourg-sur-la-Havel
                            [ja] => ブランデンブルク・アン・デア・ハーフェル
                            [ru] => Бранденбург
                            [zh-CN] => 哈弗尔河畔勃兰登堡
                        )

                )

            [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] => 52.6171
                    [longitude] => 13.1207
                    [time_zone] => Europe/Berlin
                )

            [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] => 14621
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => confidence
                )

        )

    [subdivisions:protected] => Array
        (
            [0] => GeoIp2\Record\Subdivision Object
                (
                    [record:GeoIp2\Record\AbstractRecord:private] => Array
                        (
                            [geoname_id] => 2945356
                            [iso_code] => BB
                            [names] => Array
                                (
                                    [de] => Brandenburg
                                    [en] => Brandenburg
                                    [es] => Brandenburgo
                                    [fr] => Brandebourg
                                    [ja] => ブランデンブルク州
                                    [pt-BR] => Brandenburg
                                    [ru] => Бранденбург
                                    [zh-CN] => 勃兰登堡
                                )

                        )

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

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

                )

        )

)

 country : Germany

 city : Brandenburg

DE

Array
(
    [as_domain] => renewablefreedom.org
    [as_name] => Stiftung Erneuerbare Freiheit
    [asn] => AS60729
    [continent] => Europe
    [continent_code] => EU
    [country] => Germany
    [country_code] => DE
)

Start Your Project

+49 ▼

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

Sep 25, 2025

AI Scraper for Carrefour and Cdiscount Price Monitoring - Smart Analytics for Retail Price Trends

Use an AI scraper for Carrefour and Cdiscount price monitoring to track real-time pricing trends, optimize retail strategies, and gain competitive insights.

Wayfair Price History Scraping - Identifying the Best Times to Buy

A data-driven case study using Wayfair price history scraping to reveal buying patterns, uncover discount cycles, and identify the best times to shop.

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.

Leveraging Quick Commerce Price Intelligence - Key Findings from0 Zepto Data Analysis

A research report leveraging Quick Commerce Price Intelligence, analyzing Zepto data to uncover pricing trends, competitive insights, and market opportunities.

Sep 25, 2025

AI Scraper for Carrefour and Cdiscount Price Monitoring - Smart Analytics for Retail Price Trends

Use an AI scraper for Carrefour and Cdiscount price monitoring to track real-time pricing trends, optimize retail strategies, and gain competitive insights.

Sep 24, 2025

Web Crawling for US Grocery Platforms - Discovering Market Leaders and Key Insights

Explore how web crawling for US grocery platforms reveals market leaders, consumer trends, and key insights shaping the future of online grocery.

Sep 24, 2025

How Data Scraping for Luxury Retailers Reveals Regional Buying Patterns and Market Insights?

Discover how data scraping for luxury retailers uncovers regional buying patterns, consumer trends, and market insights to drive smarter business decisions.

Read More

Wayfair Price History Scraping - Identifying the Best Times to Buy

A data-driven case study using Wayfair price history scraping to reveal buying patterns, uncover discount cycles, and identify the best times to shop.

Cross-Platform Rental Price Comparison for Smarter Insights - Analyzing Airbnb, Booking.com & Vrbo Listings

cross-platform rental price comparison, analyzing Airbnb, Booking.com & Vrbo listings to reveal pricing trends and smarter booking insights.

Price Comparison Study - How Menu Price Comparison for Swiggy and Zomato Improves Retail Insights

Menu Price Comparison for Swiggy and Zomato: Real-time menu data extraction helps retailers track prices, optimize menus, and gain actionable insights.

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

Leveraging Quick Commerce Price Intelligence - Key Findings from0 Zepto Data Analysis

A research report leveraging Quick Commerce Price Intelligence, analyzing Zepto data to uncover pricing trends, competitive insights, and market opportunities.

Ride-Hailing Competition in NYC - Uber, Lyft & Yellow Cab Pricing Analysis

Ride-Hailing Price Comparison in NYC - An in-depth analysis of Uber, Lyft, and Yellow Cab fares, highlighting cost trends and competitive insights.

Unlocking Price Trends – Blinkit vs BigBasket Market Data Analysis 2025 with Comparative Price Intelligence

Discover key insights from Blinkit vs BigBasket Market Data Analysis 2025—unlock price trends and boost growth with comparative price intelligence.

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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