Actowiz Metrics Real-time
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🔥 #1 Rated 2026 ⭐ 4.8/5 · 4,000+ Brands

Pricing Intelligence
That Actually Drives Revenue

Monitor competitor prices across 500+ platforms. Detect changes in 15 minutes. Match products with 99% accuracy. Drive +8-15% revenue lift — automatically.

Free 2-week POC 99% accuracy SLA Live in 48 hours
● Live — Pricing Intelligence Dashboard
12,847
Products
↑ +342
94.2%
Price Index
↑ +1.8%
23
Alerts
7 critical
Product You Best Gap Action
Wireless Headphone Pro $348 $315 -$33 Review
True Wireless Earbuds X $189 $179 -$10 Monitor
Wireless Earbuds Y $229 $229 $0 Optimal
+8-15% Revenue Lift
99% Accuracy SLA
500+ Platforms
15 min Alert Speed
9.4x Avg ROI
Trusted by 4,000+ brands including
Fortune 500 CPG Global Electronics Leading Beauty Brand Top FMCG Company Global CPG Leader Major Beverage Brand Oral Care Leader Healthcare Giant
Our Products at a Glance

Three Pillars of Pricing Intelligence

Competitor Price Monitoring

Monitor and compare competitor pricing across product categories, geographic regions, device types, and multiple languages in real-time.

Know More →
Linking & Range Consistency +

Map product relationships across pack sizes, color variants, and bundle configurations to maintain pricing consistency.

Pricing Modeling & Optimization +

Combine competitive intelligence with your margin goals and business rules to generate optimized pricing recommendations automatically.

Lowest Priced Retailer A Product Running Shoe Pro X Men's Running Shoe $119.99 Inclusive of all taxes Retailer B Product Running Shoe Pro X Men's Running Shoe $139.99 Inclusive of all taxes Price Gap 14.3%

See it with your own data. We match your catalog across competitors and deliver a live dashboard in 48 hours — free.

Our Products at a Glance

Three Pillars of Pricing Intelligence

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200+ Apps Covered

From DoorDash to Tinder — we extract from more mobile apps than any other provider globally.

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City & Pin Code Level

Hyperlocal data at pin code granularity — prices, stock, delivery times that vary by location.

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Fully Managed Service

We handle app emulation, API reverse engineering, geo-targeting — you just receive clean data.

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50+ Countries

Local apps in US, UK, UAE, India, SEA, LATAM, EU — we scrape region-specific apps worldwide.

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Real-Time Capable

Hourly data for time-sensitive apps — surge pricing, flash sales, delivery ETA changes.

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ISO 9001 & 27001

Enterprise-grade security. GDPR compliant. Secure app credential handling.

Key Features

Everything Your Pricing Team Needs in One Platform

Everything Your Pricing Team Needs in One Platform
500+ Platform Coverage
15-Minute Smart Alerts
AI Price Recommendations
MAP Violation Detection
Amazon, Walmart, Target, Shopify, eBay, regional platforms — monitor every channel your competitors sell on.
📦
Amazon
20+ markets
🔵
Walmart
US & Canada
🎯
Target
Price tracking
🛒
Shopify
Any store
📊
eBay
Marketplace data
🌐
Regional
Local platforms
Complete coverage of 500+ global platforms.
New sites added in 3-5 days

Complete competitive visibility across all channels

Stop guessing what competitors are doing. Our platform monitors over 500 platforms globally — from major marketplaces to regional specialty sites. Get complete visibility into pricing across every channel that matters to your business.

  • Amazon (20+ international marketplaces)
  • Walmart, Target, eBay, Shopify stores
  • Regional European, Asian, and LATAM platforms
  • Custom websites and direct-to-consumer channels
  • GDPR and CCPA compliant data collection
Get notified instantly when competitors change prices
📧 Email Alerts
Get real-time notifications directly in your inbox when critical price changes occur.
Customizable Priority filters
💬 Slack Integration
Receive alerts in your team's Slack channels with rich context and actionable links.
Instant Team collaboration
Smart rules ensure you only get notified about changes that matter to your strategy.

Real-time alerts when it matters most

Get notified via Slack, email, or webhook when competitors drop prices, launch promotions, or violate MAP policies — instantly. Smart filtering ensures you only see changes that require action, not noise.

  • 15-minute alert speed on Growth plans
  • Sub-5-minute alerts on Enterprise
  • Rich context with screenshots and competitor details
  • Customizable thresholds and notification rules
  • Webhook support for custom integrations
AI analyzes competition + demand to recommend optimal prices
YOUR DATA
Products · Costs · Sales Volume · Competitor Watchlist · Margin Goals · Price Range
+
OUR DATA
=
PRICING MODEL
OUTPUTS
Recommended Price Moves · Competitor MAP Violations · Financial Impact Reports · Semi-Automated Price Adjustments
AI-powered recommendations that maximize revenue while protecting margins.

Intelligent pricing recommendations powered by AI

Combine competitive intelligence with your margin goals and business rules to generate optimized pricing recommendations automatically. Our AI models analyze competitor behavior, demand elasticity, and inventory levels to suggest prices that maximize total profit.

  • Balance price competitiveness with margin protection
  • Forecast revenue impact of price changes
  • Automated or semi-automated price adjustment workflows
  • Scenario modeling and what-if analysis
  • Track financial impact of implemented changes
Auto-detect MAP violations with timestamped evidence capture
🔍 Instant Detection
Automated scanning identifies MAP violations across all monitored retailers.
📸 Screenshot Capture
Timestamped screenshots captured as evidence for compliance enforcement.
🆔 Seller ID Tracking
Track specific seller IDs across marketplaces to identify repeat violators.
📋 Compliance Reports
Generate detailed reports for enforcement and channel management.
Recover channel revenue by enforcing MAP policies
with timestamped, actionable evidence

Protect your brand with automated MAP violation detection

Stop losing revenue to unauthorized discounters. Our platform automatically detects MAP violations across all monitored channels, capturing timestamped screenshots and seller IDs as evidence. Enforce compliance with confidence and recover channel revenue you didn't know you were losing.

  • Automated detection across 500+ platforms
  • Timestamped screenshot evidence for each violation
  • Seller ID tracking for repeat offenders
  • Customizable MAP price thresholds
  • Compliance reports for brand protection teams
Why Actowiz

Unmatched Expertise to Power Your Pricing Strategy

AI-Powered Product Matching · Location-Based Intelligence · Granular, Actionable Insights · Data Management and Transparency
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AI-Powered Product Matching

Identify identical, comparable, alternative, and store-brand products across verticals, geographies, languages, and distribution channels — with 99% accuracy guaranteed by SLA.
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Location-Based Intelligence

Uncover geographic pricing differences and competitive hotspots at city, postal code, and individual store level — powering localized pricing strategies that boost profitability.
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Granular, Actionable Insights

Capture granular product-level data across every pricing dimension — list price, selling price, unit-normalized price, and net-effective price (after coupons and cashback).
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Data Management and Transparency

Maintain complete transparency over data integrity through comprehensive audit trails, intelligent anomaly flagging, and interactive match management controls.
Live Dashboard

What Your Team Sees Every Day

📊 Competitive Dashboard — Electronics

Request Demo →
12,847
Products Tracked
↑ +342
94.2%
Price Index
↑ +1.8%
23
Alerts Today
7 critical
3
MAP Violations
Evidence captured
32
Product Your Price Amazon Walmart Target eBay Gap AI Rec. Action
Wireless Headphone Pro $348 $328 $329 $349 $315 -$33 $329 ⚠ Review
True Wireless Earbuds X $189 $189 $189 $189 $179 -$10 $189 Monitor
Noise Cancel Headphone Z $299 $299 $299 $299 $279 $0 vs AMZ $299 ✓ Optimal

This could be your data. Get a live dashboard with YOUR products and competitors — completely free for 2 weeks.

Proven Results

Measurable ROI — Not Just Promises

Consumer Electronics

MAP Enforcement Recovers $2.1M in Channel Revenue

$2.1M
Recovered
340+
Violations
30 days
Time to ROI
CPG / FMCG

AI Pricing Drives +12% Revenue Across 25 Markets

+12%
Revenue
+3.2%
Margin
25
Markets
E-commerce

Automated Monitoring Saves 80% Time on 50K SKUs

80%
Time Saved
50K
SKUs
9.4x
ROI
Actowiz detected MAP violations we'd been missing for months. Within 30 days, we recovered $2.1M in channel revenue we didn't know we were losing.
VP
VP, Brand Protection
Fortune 500 Consumer Electronics
We switched from a tool costing 5x more. Same accuracy, better coverage, and the free POC convinced us in 2 weeks.
DP
Director of Pricing
Global CPG Manufacturer · 25+ Markets
How It Works

Live Dashboard in 48 Hours

1

Share Catalog

Upload via CSV or API. Tell us which competitors to track.

2

AI Matching

99% accuracy across 500+ platforms.

3

Dashboard Live

See competitor prices in your dashboard within 48 hours.

4

Revenue Impact

Track revenue lift and competitive wins in real-time.

Ready? Live dashboard with your products in 48 hours. No credit card. No commitment.

Integrations
Connects With Your Existing Stack
Pricing
Plans That Scale With You
3-5x more affordable than typical enterprise pricing intelligence tools.
Starter
$500/mo
For growing brands.
  • 3 platforms · 1,000 products
  • Weekly monitoring
  • AI matching (99%)
  • Email alerts + CSV
Start Free Trial →
Enterprise
Custom
Unlimited everything.
  • Unlimited platforms & products
  • Real-time (sub-5 min)
  • Custom AI models
  • SLA + 24/7 support
Book Strategy Call →
FAQ

Common Questions

What is pricing intelligence?
Pricing intelligence involves systematically tracking, analyzing, and acting on competitive pricing data to inform smarter pricing strategies. Modern AI-powered platforms deliver real-time alerts and recommendations that drive +8-15% revenue lift across 500+ platforms.
How many platforms can you monitor?
500+ globally — Amazon (20+ markets), Walmart, Target, Shopify (any store), eBay, regional platforms, and any custom website. New sites added in 3-5 days. GDPR and CCPA compliant data collection.
What's the product matching accuracy?
99% guaranteed by SLA. Our AI uses 5 signals — UPC, images, NLP, specs, brand — significantly more accurate than text-only matching.
How fast are price alerts?
Growth: 15-minute alerts. Enterprise: sub-5-minute. Smart rules ensure you only get notified about changes that matter.
Which industries do you support?
All industries — electronics, grocery/FMCG (with unit-normalized pricing per kg/oz), fashion (seasonal markdown tracking), pharma (drug pricing comparison), automotive, travel (rate parity), and more. Each industry gets customized matching rules and pricing metrics.
How long until I see results?
Dashboard live in 48 hours. Revenue impact within 30-60 days. Average client ROI is 9.4x.
Is there a free trial?
Yes — 2-week free POC with YOUR products and competitors. Real data, not a demo. No credit card needed.
Social Proof That Converts

Trusted by Global Leaders Across Q-Commerce, Travel, Retail, and FoodTech

Our web scraping expertise is relied on by 3,000+ global enterprises including Zomato, Tata Consumer, Subway, and Expedia — helping them turn web data into growth.

3,000+ Enterprises Worldwide
50+ Countries Served
20+ Industries
Join 3,000+ companies growing with Actowiz →
Real Results from Real Clients

Hear It Directly from Our Clients

Watch how businesses like yours are using Actowiz data to drive growth.

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!"
FC
Febbin Chacko
Small Business Owner
Fin
2 min
★★★★★
"Actowiz delivered impeccable results for our company. Their team ensured data accuracy and on-time delivery. The competitive intelligence completely transformed our pricing strategy."
JI
Javier Ibanez
Head of Analytics
atacy.es
1:30
★★★★★
"What impressed me most was the speed — we went from requirement to production data in under 48 hours. The API integration was seamless and the support team is always responsive."
RK
Rajesh Kumar
CTO
QComm Brand
4.8/5 Average Rating
📹 50+ Video Testimonials
🔄 92% Client Retention
🌍 50+ Countries Served

Join 3,000+ Companies Growing with Actowiz

From Zomato to Expedia — see why global leaders trust us with their data.

Why Global Leaders Trust Actowiz

Backed by automation, data volume, and enterprise-grade scale — we help businesses from startups to Fortune 500s extract competitive insights across the USA, UK, UAE, and beyond.

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7+
Years of Experience
Proven track record delivering enterprise-grade web scraping and data intelligence solutions.
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4,000+
Projects Delivered
Serving startups to Fortune 500 companies across 50+ countries worldwide.
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200+
In-House Experts
Dedicated engineers across scrapers, AI/ML models, APIs, and data quality assurance.
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9.2M
Automated Workflows
Running weekly across eCommerce, Quick Commerce, Travel, Real Estate, and Food industries.
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270+ TB
Data Transferred
Real-time and batch data scraping at massive scale, across industries globally.
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380M+
Pages Crawled Weekly
Scaled infrastructure for comprehensive global data coverage with 99% accuracy.

AI Solutions Engineered
for Your Needs

LLM-Powered Attribute Extraction: High-precision product matching using large language models for accurate data classification.
Advanced Computer Vision: Fine-grained object detection for precise product classification using text and image embeddings.
GPT-Based Analytics Layer: Natural language query-based reporting and visualization for business intelligence.
Human-in-the-Loop AI: Continuous feedback loop to improve AI model accuracy over time.
🎯 Product Matching 🏷️ Attribute Tagging 📝 Content Optimization 💬 Sentiment Analysis 📊 Prompt-Based Reporting

Connect the Dots Across
Your Retail Ecosystem

We partner with agencies, system integrators, and technology platforms to deliver end-to-end solutions across the retail and digital shelf ecosystem.

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Analytics Services
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Ad Tech
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Price Optimization
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Business Consulting
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System Integration
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Market Research
Become a Partner →

Popular Datasets — Ready to Download

Browse All Datasets →
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Amazon
eCommerce
Free 100 rows
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Zillow
Real Estate
Free 100 rows
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DoorDash
Food Delivery
Free 100 rows
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Walmart
Retail
Free 100 rows
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Booking.com
Travel
Free 100 rows
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Indeed
Jobs
Free 100 rows

Latest Insights & Resources

View All Resources →
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Blog

How IHG Hotels & Resorts Data Scraping Helps Overcome Real-Time Availability and Rate Monitoring Issues

How IHG Hotels & Resorts data scraping enables real-time rate tracking, improves availability monitoring, and boosts revenue decisions.

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Case Study

UK Grocery Chain Achieves 300% ROI on Promotional Campaigns

How a top-10 UK grocery retailer used Actowiz grocery price scraping to achieve 300% promotional ROI and reduce competitive response time from 5 days to same-day.

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Report

Track UK Grocery Products Daily Using Automated Data Scraping to Monitor 50,000+ UK Grocery Products from Morrisons, Asda, Tesco, Sainsbury’s, Iceland, Co-op, Waitrose, Ocado

Track UK Grocery Products Daily Using Automated Data Scraping across Morrisons, Asda, Tesco, Sainsbury’s, Iceland, Co-op, Waitrose, and Ocado for insights.

Start Where It Makes Sense for You

Whether you're a startup or a Fortune 500 — we have the right plan for your data needs.

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Enterprise
Book a Strategy Call
Custom solutions, dedicated support, volume pricing for large-scale needs.
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Growing Brand
Get Free Sample Data
Try before you buy — 500 rows of real data, delivered in 2 hours. No strings.
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Just Exploring
View Plans & Pricing
Transparent plans from $500/mo. Find the right fit for your budget and scale.
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    [locales:protected] => Array
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)
 country : United States
 city : Columbus
US
Array
(
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    [country_code] => US
)
Array
(
    [city] => Columbus
    [country] => United States
    [countryCode] => +1
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)
Get in Touch
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Your Data Needs
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Request Free Sample Data
Fill the form below — our team will reach out within 2 hours.
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GeoIp2\Model\City Object
(
    [raw:protected] => Array
        (
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                (
                    [geoname_id] => 4509177
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                            [fr] => Columbus
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                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

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

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

            [registered_country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [subdivisions] => Array
                (
                    [0] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                )

            [traits] => Array
                (
                    [ip_address] => 216.73.216.153
                    [prefix_len] => 22
                )

        )

    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

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

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

        )

    [country:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

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

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

        )

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

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

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

        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

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

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

        )

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

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

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

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.153
                    [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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