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GeoIp2\Model\City Object ( [raw:protected] => Array ( [city] => 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 ) ) [continent] => 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 ) ) [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] => 216.73.216.150 [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] => 216.73.216.150 [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 )
Discover how our SHEIN Product Dataset enabled a retail brand to analyze fast-fashion trends, improve pricing insights, and boost forecasting accuracy by 62%.
Note: You’ll receive it via email shortly after submitting the form.
The fast-fashion industry thrives on speed, trends, and data-driven decisions. Retail brands need access to accurate, real-time product intelligence to forecast trends, optimize pricing, and manage inventory effectively. Leveraging the SHEIN Product Dataset, Actowiz Solutions provided one of its clients with comprehensive insights across thousands of SKUs, including apparel, accessories, and seasonal items. With this dataset, the client could track patterns in consumer behavior, emerging trends, and market dynamics almost instantly. Our solution automated data collection from SHEIN's online platforms, transforming raw data into actionable intelligence. By integrating the SHEIN Product Dataset with their existing analytics frameworks, the client reduced manual research, enhanced decision-making, and improved the speed of trend prediction. This enabled them to stay ahead of competitors in a fast-paced market, ultimately boosting forecasting accuracy by 62%, improving pricing strategies, and optimizing inventory planning to meet customer demand efficiently.
The client is a leading mid-sized fashion retailer operating across multiple eCommerce platforms and offline stores in the US and Europe. They specialize in women's apparel, accessories, and footwear, targeting millennials and Gen Z shoppers. Their business model depends heavily on fast-turnaround trends, frequent product launches, and promotional campaigns during peak shopping seasons. To maintain market relevance, they needed detailed insights into global fast-fashion trends and competitor pricing strategies. Using SHEIN Product Listings Data, the client gained visibility into thousands of SKUs, including style, color, size, pricing, and seasonal availability. This dataset enabled the brand to benchmark its own products, track emerging trends, and align inventory and marketing strategies with real-time consumer demand. With Actowiz Solutions' data intelligence, the client strengthened its ability to respond swiftly to market shifts and maintain competitive pricing, ensuring sustained growth in the fast-moving fashion retail sector.
We used the SHEIN Product Price Dataset to extract detailed price points, discounts, and seasonal offers for thousands of products. Automated tools helped map price fluctuations over time, allowing the client to compare their product pricing against market benchmarks. By continuously monitoring SHEIN's eCommerce inventory, the client received insights on trending categories, popular colors, and seasonal bestsellers. This allowed proactive adjustments to pricing strategies, promotional campaigns, and inventory planning. Integrating this dataset into analytics dashboards helped decision-makers visualize trends efficiently and make data-backed forecasts with enhanced accuracy.
Leveraging advanced Ecommerce Data Scraping, Actowiz Solutions automated extraction from SHEIN's website, capturing product descriptions, pricing, stock availability, ratings, and user reviews. The scraped data was cleaned, structured, and standardized to ensure consistency across datasets. Automation reduced manual effort by over 70%, enabling faster analysis and trend detection. This strategy provided a continuous flow of fresh, structured data, allowing the client to react instantly to emerging fashion trends, understand consumer preferences, and optimize assortments across channels, enhancing their competitiveness in the fast-fashion landscape.
SHEIN frequently updates its catalog with new arrivals, seasonal products, and region-specific items. Using the SHEIN Size & Colour Dataset, we implemented automated scripts to detect additions, removals, and changes in SKUs in real-time, ensuring the client had access to the latest product attributes without delay.
Monitoring thousands of SKUs across multiple categories required managing large datasets. Actowiz Solutions designed scalable pipelines that stored, processed, and structured this data efficiently, minimizing latency and ensuring the client could query insights instantly.
Product descriptions, sizes, and colors varied across listings. Automated normalization processes cleaned and standardized the SHEIN Size & Colour Dataset, creating uniform fields for accurate trend analysis and reporting. This enabled seamless integration with the client's analytics platform and improved forecasting reliability.
Actowiz Solutions delivered a holistic solution that leveraged the SHEIN Product Images Dataset to provide visual trend insights. We combined high-resolution images with product metadata, allowing the client to analyze patterns in style, color, and design. Automated image tagging and categorization tools facilitated the detection of emerging trends and helped prioritize popular SKUs for faster inventory rotation. By integrating product visuals with pricing, stock, and review information, the client gained a complete view of the fast-fashion landscape. This end-to-end solution enabled real-time monitoring, reduced manual labor, and enhanced forecasting accuracy by 62%, ensuring smarter decision-making and efficient operational planning.
Using SHEIN Product, Pricing & Review Datasets, the client achieved a 62% increase in trend prediction accuracy, reducing overstock and understock situations.
Automated datasets reduced manual research by 70%, freeing analysts to focus on strategy rather than data collection.
Continuous monitoring of competitor prices enabled pricing adjustments in real-time, improving profit margins by 18% and enhancing market competitiveness.
Emerging fashion trends were identified within 24 hours of market shifts, enabling faster product launches and promotions.
Integration of product images and reviews enhanced campaign targeting, increasing customer engagement rates by 22%.
"Actowiz’s SHEIN Product Dataset transformed how we track trends and optimize pricing. The real-time insights and visual product analysis have been game-changing for our team."
— Head of Merchandising, Retail Brand
Our team combines domain knowledge with technical expertise to deliver actionable insights using the SHEIN Product Dataset.
We leverage Web scraping API, instant data scraper, and custom pipelines to provide structured, real-time datasets.
From product images to pricing and reviews, Actowiz provides Custom Datasets tailored for predictive analytics and trend forecasting.
Our team ensures seamless integration with client platforms, training, and continuous support for reliable trend tracking.
With the SHEIN Product Dataset, Actowiz Solutions empowered the client to make faster, data-driven decisions, improve forecasting accuracy, and optimize inventory and pricing strategies. Leveraging Web scraping API, Custom Datasets, and instant data scraper technologies, the client achieved measurable efficiency and profitability gains.
Ready to transform your fashion analytics? Contact Actowiz Solutions and unlock the full potential of SHEIN Product Datasets today!
The dataset includes product names, SKUs, categories, pricing, stock availability, images, reviews, sizes, and color variations.
Updates are available in real-time using our instant data scraper, ensuring you always have the latest trends.
Yes, Actowiz provides Custom Datasets tailored to product categories, geographies, or price ranges for precise analytics.
By combining product metadata, images, pricing, and reviews, retailers can detect emerging trends, optimize inventory, and forecast demand accurately.
Absolutely. The dataset is structured, clean, and compatible with major analytics tools, enabling instant insights for marketing, pricing, and procurement teams.
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:
Fintech / Digital Payments
Result
Accurate daily voucher &
cashback visibility across platforms
“Actowiz Solutions helped us automate daily voucher and cashback data collection across PhonePe, Paytm, Flipkart, and Hubble. The API-driven delivery significantly improved offer accuracy and operational efficiency.”
Product Manager, Fintech Platform (India)
✓ Daily voucher & cashback tracking via Push & Pull APIs
Coffee / Beverage / D2C
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
Real Estate
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×
Organic Grocery / FMCG
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
Quick Commerce
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
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
Beverage / D2C
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
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
Real results from real businesses using Actowiz Solutions
In Stock₹524
Price Drop + 12 minin 6 hrs across Lel.6
Price Drop −12 thr
Improved inventoryvisibility & planning
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
"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"
✔ Scraped Data, SKU availability, delivery time
With hourly price monitoring, we aligned promotions with competitors, drove 17%
Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place
Deep dive into the UAEs quick-commerce battle. Compare Noon Minutes and Talabat Mart pricing, speed, and market data with Actowiz Solutions.
Actowiz Solutions tracks hyperlocal Glovo prices in Barcelona using high-frequency q-commerce scraping to monitor pricing, promos, and availability.
Discover 10 powerful ways data scraping boosts business growth, from competitive price intelligence and demand forecasting to inventory tracking and market monitoring.
UAE E-Commerce & Quick Commerce SKU Data Analysis delivers insights on pricing, availability, trends, and performance to optimize catalogs and growth.
Scraping spices product data from ecommerce helps track prices, availability, brands, and demand trends for smarter sourcing decisions.
Learn how Web Scraping Instacart Product Availability by Zip Code helps retailers track stock, optimize inventory, and improve delivery efficiency
Grab Rewards Data Scraping helps analyze reward points, offers, redemption trends, and user incentives to optimize loyalty and engagement strategies.
Web Scraping Grab Gift Card Data helps track demand, usage patterns, pricing trends, and consumer behavior across digital platforms.
Real-time grocery price changes across Walmart, Instacart and Target. Track top SKU drops, increases and hourly volatility with Actowiz Solutions.
Enhance deep learning performance with large-scale image scraping. Build diverse, high-quality training datasets to improve AI accuracy, object detection, and model generalization.
City-Wise SKU Demand and Pricing Trends - E-Commerce & Q-Commerce multi-Platforms, insights to compare demand, pricing, and growth patterns across cities
UK Grocery Market Analysis 2026 - Tesco, Asda, Sainsbury’s & Morrisons delivers insights on pricing, market share, competition, and consumer trends shaping retail.
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.
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.
Actowiz Solutions adheres to the highest global standards of development, delivering exceptional solutions that consistently exceed industry expectations