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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] => 216.73.216.31 [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] => 216.73.216.31 [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 )
Revolve, Nordstrom, and ASOS are three of the most powerful trend barometers in US online fashion. Revolve's curated influencer-driven assortment reflects what the Instagram-generation is buying at premium price points. Nordstrom's department store breadth captures cross-generational demand across mainstream and premium categories. ASOS's volume and speed reveal what young fashion buyers are actually clicking on and converting — across tens of thousands of SKUs.
For fashion brands and retailers, these three platforms together represent a near-complete picture of the US online fashion market from trend-forward to accessible. Systematically scraping these retailers for bestseller data, new arrival trends, search rank movements, and pricing intelligence gives fashion businesses an analytical edge that no trend report or trade publication can match. Actowiz Solutions builds the custom scraping infrastructure that makes this analysis automated, structured, and continuously updated.
Each of the three target retailers offers distinct intelligence value:
Revolve: The influencer-fashion bellwether. Revolve's bestsellers reveal what premium buyers — primarily millennials and Gen Z with disposable income — are actually purchasing after seeing it on influencers. New arrivals on Revolve signal which DTC and independent brands are gaining traction with the fashion-forward consumer.
Nordstrom: The mainstream demand barometer. Nordstrom's bestsellers reflect broad US consumer fashion demand across demographics. Their editor-curated 'trending now' and 'most loved' sections are algorithmically and editorially informed purchase-velocity signals.
ASOS: The volume and velocity tracker. With 85,000+ SKUs and millions of active shoppers, ASOS's bestseller lists, trending sections, and new-in categories provide the highest-volume signal about what fashion items are driving actual purchases right now.
Here is a sample of the cross-platform trend intelligence Actowiz Solutions delivers by correlating bestseller data across all three retailers:
The strapless midi dress scores 99/100 on the cross-platform intelligence score — ranking top 10 on all three retailers simultaneously. This is the clearest possible signal of a dominant trend with broad demographic appeal. Any brand not already in the market with this style should treat it as an urgent priority for their next collection.
Beyond bestsellers, tracking new arrivals across Revolve, Nordstrom, and ASOS reveals what established retailers believe will be trending in the next 4–8 weeks. Their buyers and merchandising teams have invested significant research in these decisions — their new arrival assortments are themselves a form of trend intelligence. Actowiz Solutions monitors:
Tracking individual items is valuable, but category-level analysis reveals the larger market direction. Actowiz Solutions aggregates new arrival and bestseller data to measure category growth and decline trends:
Bestseller lists do not just reveal what is selling — they reveal at what price it is selling. Actowiz Solutions extracts and analyzes the price distribution of bestsellers on each platform to answer critical pricing questions:
Actowiz Solutions delivers Revolve, Nordstrom, and ASOS scraping intelligence in a format designed for fashion brand and retail merchandising teams:
Revolve, Nordstrom, and ASOS are three of the most information-rich trend intelligence sources available to US fashion brands — and their bestseller and new arrival data is completely public, systematically scrapeable, and updated continuously. Fashion brands that harvest and analyze this intelligence have a significant strategic advantage over those relying on trade publications, runway reports, or intuition.
Actowiz Solutions provides the technical infrastructure to capture this intelligence automatically, structure it for analysis, and deliver it in formats that fashion merchandising, design, and marketing teams can act on with confidence. Whether you are planning your next collection, validating a trend hypothesis, or benchmarking your pricing strategy, Revolve, Nordstrom, and ASOS intelligence from Actowiz Solutions gives you the market visibility to make every fashion decision count.
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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)
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Coffee / Beverage / D2C
2x Faster
Smarter product targeting
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Operations Manager, Beanly Coffee
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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
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Organic Grocery / FMCG
Improved
competitive benchmarking
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Product Manager, 24Mantra Organic
✓ Real-time SKU-level tracking
Quick Commerce
Inventory Decisions
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Aarav Shah, Senior Data Analyst, Mensa Brands
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3x Faster
improvement in operational efficiency
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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
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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
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Luxury fashion brands use Actowiz Solutions to monitor resale prices on StockX and GOAT — tracking secondary market value, authentication, and brand health signals.
Helped a fine dining brand reduce discount leakage by tracking competitor offers and reservation trends using District by Zomato Reservations and Offers Data Scraping.
Discover the key differences between manual data collection and automated web scraping. Learn which method saves more time, reduces costs, and improves efficiency for your business in 2026.
Scrape Largest Limited Service Restaurants In The United States data for competitive insights, pricing, and market trends (2026). data extra
Charlotte fashion retailers use Actowiz Solutions for automated size and stock availability tracking — monitoring competitor inventory signals to capture demand and reduce stock-outs.
Scrape Revolve, Nordstrom, and ASOS for deep fashion trend analysis with Actowiz Solutions. Track bestsellers, new arrivals, and pricing to inform your next collection.
Drive growth by scraping restaurants data from iFood platform to gain pricing, menu, and competitor insights for smarter decisions and expansion.
Boosted a cloud kitchen brand’s growth using Swiggy and Zomato data intelligence API for pricing, demand, and competitor insights.
Discover 10 powerful ways data scraping boosts business growth, from competitive price intelligence and demand forecasting to inventory tracking and market monitoring.
Real-time grocery price changes across Walmart, Instacart and Target. Track top SKU drops, increases and hourly volatility with Actowiz Solutions.
Scrape Largest Apparel And Accessory Stores Data In The US to track pricing, inventory trends, market share, and competitive retail insights in real time.
US Pizza Chain Analysis covering pizza shops growth, consumer demand & pricing strategies.
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