Uploaded on Feb 4, 2026
Learn how a D2C apparel brand used Flipkart & Myntra data to optimize pricing, improve visibility, and expand its online presence faster.
How a D2C Apparel Brand Expanded Online Using Flipkart & Myntra Data
How a D2C Apparel Brand Expanded Online Using
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article delves into the myriad benefits of scraping TripAdvisor, shedding light on how this
process can be initiated, including exploring the initial steps involving API utilization. Dive
into the realm of data-driven insights with TripAdvisor scraping.
The result was improved product positioning, better pricing alignment,
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About the Client
The client is a mid-sized D2C apparel brand specializing in casual wear and
athleisure for urban Indian consumers aged 18–35. Operating primarily
through its own website, the brand aimed to scale faster by strengthening its
presence on Flipkart and Myntra—two of India’s largest fashion marketplaces.
Despite strong product quality, the brand struggled to compete with
established players due to limited visibility and inconsistent pricing strategies.
To overcome this, the client sought a data-driven solution using Flipkart &
Myntra Data Scraping for D2C Brands to understand competitor strategies,
demand patterns, and pricing benchmarks. Actowiz Solutions provided
structured insights using a reliable Flipkart Fashion Products Dataset, enabling
the brand to make informed decisions aligned with marketplace dynamics and
consumer preferences.
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Our Strategic Approach
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dRGaBteaeu fsrniotdmeae mfiuatrrksetnpltacses, focusing on bestseller rankings, customer ratings,
review velocity, and seasonal trends. This helped the brand understand what
customers were actively searching for and purchasing across Flipkart and
Myntra. Insights were segmented by category, price range, and style to guide
merchandising decisions.
Competitive Benchmarking Model
A structured benchmarking model compared the client’s products against top
competitors on pricing, discounts, imagery, and descriptions. The analysis
enabled the brand to reposition products strategically, align pricing with
market expectations, and improve listing quality. This approach ensured the
brand remained competitive while maintaining healthy margins.
Technical Roadblocks
Dynamic Page Structures
Flipkart and Myntra frequently update their UI and backend structures.
AIctnowtirz oimdpluemcetntied adaptive scraping logic to ensure uninterrupted data Iflnowt dreospditeu pclattfioormn changes.
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Results & Key Metrics
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thsicsr arepsinogu,r coeff.ering the most straightforward route to consistently obtaining data at scale. This
article delves into the myriad benefits of scraping TripAdvisor, shedding light on how this
process can be initiated, including exploring the initial steps involving API utilization. Dive
into the realm of data-driven insights with TripAdvisor scraping.
Operational Efficiency
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ata – A Detailed Guide
natae-dfiritvesn strategy enabled consistent growth and stronger
marketplace positioning.
Client Feedback
“Actowiz Solutions helped us unlock the real power of marketplace data.
Their insights transformed how we price, position, and launch our
products on Flipkart and Myntra. The results were visible within weeks.”
— Head of E-Commerce, D2C Apparel Brand
Why Partner with Actowiz Solutions
Proven expertise in large-scale marketplace intelligence
Advanced infrastructure for collecting
Fashion Prices Data from Myntra & Flipkart
Custom data delivery tailored to business needs
HIignh tarcocudraucyc, stcialability, and compliance
DInedticraotedd utechtniicoanl and support teams
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Cthsoicsnr arnepesinocgut,r coweff.ietrhin Ag tchteo mwoizst Sstoraliugthitofonrsw atrodd roauyte! to consistently obtaining data at scale. This article delves into the myriad benefits of scraping TripAdvisor, shedding light on how this
process can be initiated, including exploring the initial steps involving API utilization. Dive
into the realm of data-driven insights with TripAdvisor scraping.
FEAxQsHotrwa cttoi nEgff eInformation from TripAdvisor:
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MRGaerukseitRtpdestaurant Data – A Detailed Gu
Benealaecfiuetr dsatna tresveals pricing trends, customer preferences
id, e
bestseller products, and competitive positioning, enabling smarter
decisions.
2. Is Flipkart and Myntra data updated frequently?
Yes, data changes multiple times daily. Actowiz provides near real-time
updates based on client requirements.
3. Can the datasets be customized?
Absolutely. Actowiz Solutions delivers fully customizable datasets
aligned with specific business goals.
4. Is data scraping compliant and secure?
Actowiz follows ethical data collection practices and ensures
compliance with platform guidelines and data protection norms.
InInttrroodduuccttioi n
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Amidst TripAdvisor's vast sea of information lies a treasure trove awaiting extraction,
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thsicsr arepsinogu,r coeff.ering the most straightforward route to consistently obtaining data at scale. This
article delves into the myriad benefits of scraping TripAdvisor, shedding light on how this
process can be initiated, including exploring the initial steps involving API utilization. Dive
into the realm of data-driven insights with TripAdvisor scraping.
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Beunideefits
Introducti
Tohisn blog will provide a comprehensive overview of datasets, including their definition, different types of datasets, and strategies for maximizing the value of data.
In the dynamic landscape of eCommerce, pricing strategy stands paramount, especially for
IWdnigtitharl asototdre furiosnct s.ta Mi oodDenrn ctonasusmerst a?re discerning, often prioritizing price comparison as a pivotal step before purchasing. The allure of securing the best deals and most competitive
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areen ginacgree ainsi npgrilcye e mxpolnoriteodr inagn da ccreolessb rvaatreido uosn plinlaet,f otrhmes d. eRmecaongdn fizoirn gu pt-htios- dtraetned r,e osntaliunrea nret tdaailtear s
ism iunssta atidaebplet.ly Aesm pfolooyd ceonmtpheutsiitaosrt sp riacned t rabcukseinrse stsoe sst asye aehke athde. latest insights into menus,
reBvyie wlesv,e arangdi nmgo rreet,a tihl ed aZtoam sacrtoa pAinPgI etemcehrngieqsu eass, ab upsoinweesrsfuels tcoaonl fcoor llseccrta pcionmg ptrheish einnvsiavleu arbeltea il
indfoartma,a toiffone.ring insights into the broader market's pricing landscape. Such price intelligence
empowers retailers to craft a robust pricing strategy, bolstering sales, enhancing profit
Omura crgoimnsp,r eahnedn sifvoes tgeuriindge dceulsvteosm ienrt o lothyea ltiny.t riMcaotree oavrte ro, f au tildizaitnag- dtrhivee Zno meCaotom AmPeI rtcoe scprraicpien g
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foIond ebslsoegngceer, suetailriczhiningg af orc ofmrepseht ecnotn tceonmt, poert itao rd aptraic e nthraucskiaesrt feaacgileitra tteos eexffpelocrteiv ec ulpinriacriyn g
troepntdims, itzhaitsi ognu iadned w siolll isdeifirvees a sr eytoauilre cr'osm ppoassitsio in itnh eth weo fireldr coefl yd actoam epxetrtaitcivtieo ne.Commerce arena.
We will navigate through the intricacies of Zomato Scraper, uncovering its capabilities to
provide you with rich, real-time restaurant data. From scraping restaurant details to
accessing customer reviews, our detailed guide ensures that you harness the full potential of
this resource.
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