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GeoIp2\Model\City Object
(
    [raw:protected] => Array
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            [city] => Array
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                            [ru] => Колумбус
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                            [ru] => Северная Америка
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                            [es] => Estados Unidos
                            [fr] => États Unis
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                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
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                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
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    [continent:protected] => GeoIp2\Record\Continent Object
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                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
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                            [de] => Nordamerika
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                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
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            [validAttributes:protected] => Array
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    [country:protected] => GeoIp2\Record\Country Object
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                    [names] => Array
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                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
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                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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    [maxmind:protected] => GeoIp2\Record\MaxMind Object
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                )

            [validAttributes:protected] => Array
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    [registeredCountry:protected] => GeoIp2\Record\Country Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [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
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    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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    [traits:protected] => GeoIp2\Record\Traits Object
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            [validAttributes:protected] => Array
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                    [8] => isHostingProvider
                    [9] => isLegitimateProxy
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                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
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                    [17] => network
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                    [19] => staticIpScore
                    [20] => userCount
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        )

    [city:protected] => GeoIp2\Record\City Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [geoname_id] => 4509177
                    [names] => Array
                        (
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                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
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            [validAttributes:protected] => Array
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        )

    [location:protected] => GeoIp2\Record\Location Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
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            [validAttributes:protected] => Array
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                    [1] => accuracyRadius
                    [2] => latitude
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                    [4] => metroCode
                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

        )

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

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

    [subdivisions:protected] => Array
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            [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
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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
)
Real-Time Regional Insights with Customizable E-commerce Dashboards

Introduction

In Taiwan’s highly competitive eCommerce ecosystem, Shopee has emerged as a dominant platform with thousands of sellers and rapidly evolving product trends. A global consumer intelligence agency partnered with Actowiz Solutions to gain a comprehensive edge over competitor brands by leveraging Shoppe Web Scraping Services. The goal was to build a robust data extraction pipeline that could scrape product categories from Shopee and monitor pricing, inventory, and category fluctuations in near real-time. With a focus on vertical-specific metrics and performance benchmarks, the client needed a scalable architecture capable of handling millions of SKUs across hundreds of categories. Actowiz deployed its proprietary Shopee Product Data Scraper integrated with customized Price Monitoring capabilities to empower the client’s market strategy. This case study explores how Actowiz enabled advanced Shopee product category analytics to drive data-backed decisions.

The Client

The client is a Southeast Asia-based B2B analytics firm specializing in retail intelligence for consumer electronics, fashion, and FMCG brands. Operating across Taiwan, Malaysia, and Indonesia, their core focus lies in helping enterprises understand local eCommerce performance across platforms like Shopee, Lazada, and Tokopedia. As Taiwan’s online shopping volumes surged post-pandemic, the firm realized that traditional research methodologies couldn’t keep up with category-level market dynamics. They needed to scrape product data from Shopee Taiwan for more accurate SKU performance insights and brand visibility analysis. To keep pace with fluctuating price trends, listing changes, and consumer interest at a granular level, they required an automated system that could continuously Extract Shopee Website Data without violating Shopee’s policies. Actowiz’s ability to deliver highly customized scraping pipelines and dynamic categorization systems made them an ideal partner.

Key Challenges

The-Client

The client faced several challenges while trying to scale their insights across Taiwan’s Shopee ecosystem. Firstly, Shopee’s category tree is highly fragmented, with overlapping sub-categories and frequent structural updates, making it hard to consistently scrape product categories from Shopee using generic scraping tools. Existing data scraping methods would often break or misclassify products, resulting in faulty trend analysis. Secondly, the volume of listings was immense. The client needed to collect and process data on hundreds of thousands of listings daily using Shopee high-volume web scraping tools—without facing IP blocks or latency issues. In addition, they wanted to track best-selling products by category on Shopee Taiwan to identify promotional spikes, product launches, and seasonal category shifts. But real-time tracking was not achievable with their previous manual or semi-automated tools. The inability to Scrape Shopee Taiwan prices and listings in bulk at high frequency limited their ability to offer timely insights to their clients. Lastly, aligning scraped data into usable category reports and dashboards without consistent labeling posed serious workflow bottlenecks.

Key Solutions

The-Client

Actowiz Solutions built a scalable and intelligent scraping framework designed specifically to extract product category data from Shopee Taiwan. The solution incorporated dynamic category mapping and AI-based recognition models to track and reclassify shifting Shopee categories. Using its advanced Shopee data scraping tool for categories, Actowiz ensured consistent labeling even when Shopee’s category architecture evolved. The client was able to seamlessly scrape product categories from Shopee at scale without interruptions or misclassification errors.

To manage high volumes, Actowiz deployed dedicated proxies and geo-rotation strategies, supported by its Shopee high-volume web scraping tools, enabling uninterrupted data extraction at over 95% accuracy rates. Custom parsers were developed to Scrape Shopee Taiwan prices and listings across various segments including electronics, personal care, apparel, and kitchenware. For real-time updates, the Shopee Taiwan category tracking tool offered live monitoring of listings, seller changes, and inventory updates. This allowed the client to track best-selling products by category on Shopee Taiwan and develop market forecasts based on real-time consumer response.

To support strategic insights, Actowiz created structured reports highlighting Shopee Taiwan top categories and sales data, organized as weekly and monthly dashboards. These were exported to the client’s BI platform using the Web Scraping Dataset Shopee module. Additionally, Actowiz’s in-house API connectors offered quick integration for future expansions. The combined solution offered a 360-degree overview of category shifts, pricing fluctuations, and emerging product trends—transforming raw Shopee data into actionable business intelligence.

Client Testimonial

"Actowiz Solutions provided exactly what we needed—a scalable, accurate, and adaptive system to help us scrape product data from Shopee Taiwan. Their ability to track category-level changes in real-time and convert them into structured insights transformed our analytics workflow. Their team’s support and custom-built solutions exceeded expectations."

— Senior Data Analyst, Regional Market Intelligence Firm

Conclusion

This successful collaboration between Actowiz Solutions and the client showcases the real-world impact of deploying targeted scraping infrastructure to gain eCommerce insights. With a reliable Shopee Product Data Scraper , advanced analytics capabilities, and real-time Shopee product category analytics, the client achieved a significant edge in competitive intelligence. The ability to continuously scrape product categories from Shopee, monitor category trends, and forecast sales has opened new pathways for regional strategy development. For any business looking to Extract Shopee Website Data or gain access to Shopee Taiwan top categories and sales data, Actowiz offers the most reliable and scalable solution for the modern retail intelligence era.

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape Structure Analyze Visualize

Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.

Find Insights Use AI to connect data points and uncover market changes. Meanwhile.

Move Forward Predict demand, price shifts, and future opportunities across geographies.

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 Gallao
Thomas Galido
Co-Founder / Head of Product at Upright Data Inc.
Product Image
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.”
Thomas Gallao
Iulen Ibanez
CEO / Datacy.es
Product Image
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!”
Thomas Gallao
Febbin Chacko
-Fin, Small Business Owner
Product Image
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

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

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