Flipkart, Amazon & Myntra Price Comparison Dataset E-commerce Pricing Data


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Uploaded on Dec 5, 2025

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Discover retail insights with the Flipkart, Amazon, and Myntra Price Comparison Dataset, enabling brands to track price shifts and optimize market decisions. Source : https://www.retailscrape.com/flipkart-amazon-myntra-price-comparison-dataset.php Contact Us Email : [email protected] Phone no : +1 424 3777584 Visit Now : https://www.retailscrape.com

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Flipkart, Amazon & Myntra Price Comparison Dataset E-commerce Pricing Data

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Leveraging our specialized Coupainngt oP rcor iicnkteetl limgence capabilities and market positioning strategies. duct Dat aat Schcreasp ianngd S oallulotwioends  sfcorra paicncgu ratoteo lsp,l aytheer Wvcaitllihue anttei oganar liaync e4rdo8 s%tsh evoa fs rmtiroaoutnse igttoicur erenda gmlies etinnetgc fseo ssrsmhaoarwyts it.nog e fxrceeqlu went adjustmenThe Clien ithin Coupang t'ss foavset-r aT 3ehv0eo- dclvlaiieynn gct ymclaer,k t ethtpisl adcaet.aset helps reveal how retailers react to competitor WBeyb asdcorapptiin nsggt r ouinugvrg oalledvdev asw neictxhet drma EcaStiinPntNgac ilnraiicrngigne f coao mAmPopIu eSntcittrsiav opefi n pdgrai cteianc gfhr noaomclro owgsyse ,bt thshioteue ssc alinnedn ast n amtuorofta ovnmSesKsfao,Ut resmfd ee samtidn vadtenh neidseirear .nlf eaFtsniof,tyo aidanshngyu d cb rr eiiRcngekvioveenite astwloc sor pyrSir ncicrgiayn cpaglene rdsp .ia us tsBdteeyer rs neeigsnv.ng aealTudgha eettiomyn hegaen lltshp os b twrusa sutiepffngreeiirsceesedesCli t S . s cfloTruelhlcveitsecu nta luceteued s atlueotcocamr okceasersgi sg recens avi fidtSiecutagweoon srtr t fiyoreoi sms sup ubFrcoohvope dtaimhmsu eaebnll, te sapc rtpiricnoi pnnugicl sasesr,t rfr oaarosteehdtgi eodinenetsl,ii .ov hneTo rhmyae pneyld ae ntsfeposeleradmntefti.od ar mlsa, pcoromfiptarebhileitnys aivned ,s uolltuimtioante tlyo, par souvbidseta dnetitaali lbedand personal care, brands gain clearer insoigo sint sinig rhetvs into quick-commerce m ht into p ernicuien gg raogwgtrhe.ssiveness By asrckreatp idnygn aremviicesw asn, dra etninagbsl,e apnredc fiseee dpbriaccek ofprotimm izcautsitoonm aecrrso,s bs uthsienier sdsievse rcsaen gaganirdno cdienisrsycio gcuhatntsat lsoinegta.os ovnaarliiotuy.s aspects of their service, including food quality, delivery times, and customer satisfaction. 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Electronics 22–28% 10–18% Amazon & Flipkart   Fashion 30–44% 15–35% Myntra Home Essentials 15–20% 8–15% Flipkart How Retail Scrape Can Help You? Retail brands often face challenges in making sense of fragmented pricing structures spread across multiple platforms. With rich analytical workflows centered around the Flipkart, Amazon, and Myntra Price Comparison Dataset, Retail Scrape provides a more unified, actionable, and accurate approach to understanding price movements. OUunr dapeprrsoatcahn indcilnudge sW: eb Scraping Foodhub Reviews • Helps identify product-level pricing gaps. • Tracks cross-platform volatility for smarter decisions. • Monitors discount timing and promotional outcomes. • Supports category-specific analysis for planning. • Enables structured competitive evaluation. •InIntPrtrorvdoiuddecust cicoutnsiotonmizable reporting for team alignment. 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By scraping reviicesw a ths. sn, dra etninagbsl,e apnredc fiseee dpbriaccek ofprotimm izcautsitoonm aecrrso,s bs uthsienier sdsievse rcsaen ggairno cienrsyi gchattsa loingt.o various aspects of their service, including food quality, dAe lcivl earyre tri muensd, earnstda cnudsitnogm oefr psaritcisinfagc tainond. discount response behaviors helps cTohmep calnieinets reuvnollouctkio nsizmeda rttheer ir daepcpisroioancsh, too pptirimcinizge stlrisatitenggys , anadn din viemnptorroyv e Inmstaenaadg eomf enret lybinyg implementing advaoutcomes. The preocni simona nuoaffle rdeadt a nccoeldle cGtiroonc,e ryFo oPrice Datathrough detaileddh ube vaRlueav ieSwcsra pDinag technol tion hel tpas Collectiono gtiherso. ugThh issc rarepsinuglt eadll owins froerm reaarkl-atbimlee aimccpersosv etom ean ltasr gein v omluamrkee ot f srterespnognthseivne ndeescsi,s iporno fiatc mcuarragciny sa, laignnde sdu bwsitahn Btieanl reefivtesn oue growth.strCulciteunretd Sduatcac, ewshsic hS tiso ersysential for making informed fd eUcnisifiioends .E-Commerce Datasets for Price Intelligence. Connect with Retail Scrape today for  detailed, data-driven pricing clarity. Source : https://www.retailscrape.com/flipkart-amazon-myntra-price-comparison- dataset.php Our client, a well-established fantasy cricket platform with five years in the industry, had earned a reputation for engaging gameplay and substantial prize pools. However, increasing competition from global fantasy sports platforms and the rise of ESPNcricinfo Data Scraping by competitors threatened their market standing and ability to respond to shifting user preferences. "Our previous approach to gathering cricket statistics relied on manual updates and basic APIs, which became increasingly inefficient," says the cUlienndt’se rDsirteactnord oifn Pgro Wduectb D Sevcerloappmienngt. "FBoyo tdheh tuimbe Rwee vuipedwatsed player performance metrics, matches were often over, leading to user frustration. Our prediction algorithms also failed to reflect player form, resulting in inconsistent user experiences accurately.“ Adopting Mobile App Scraping Services transformed their operations. With access to real-time, accuhratttep sm:/a/tcwh wdwat.ar, ethaeiyls ccrrafpted. cdoamta-/driven strategies that improved their competitive edge and boosted user saItnisftarcotidonu. ction [email protected] In the first cricket season after implementing the service, the client saTwh:is case study highlights how our Coupang Product Price Scraping Service revolutionized a cl+ie1nt '4s 2m4a r3ke7t7 a7n5al8ys4is and pricing optimization •3Ins2t%trra oitmedgpuy.c tBiyo ndepThe Corroev eCmeanltl loiny iunsge ra ednvgaangceemd etnetc hdnuirqinuge sli,v ew em aetmchpeoswered the client •2Inw8 %itth oi nducanryem'asas tecd hiynen dua sm ei nenrisc ir geehtqetsusni tciinko-tnco o rtamhtmee secrocme pelatintidvsec adpyen,a msitcasy ionfg S ocuotmh pKeotrietiav'es •2rel1eq%aud igrinerosgw eti-hnc soitnma namvt eerrvcaiesg iebp ilulaisttyfeo rr dmine.tpoo smitsarket pricing trends and consumer •1p8re%fe rrednuccetsi.o nT hinis d actaas ela tsetnucdyy- r elxaatemdi nuesse r hcoowm pal alienatsding grocery delivery cOhauirn cwusittho m3iz0e+d osnolliunteio ns tdoreelisv earecdro srso bmusatj omr aIrnkdeita nin tmelelitgreonpcoeli,t aenn aabrleinags lecvlieernatgse dto Rderiavle-T idmaeta -Gbarocckeerdy prPirciicneg dMeocnisitioornins,g swsoifltulyti oandsa pftr otmo muasr ketot trcahnasnfogrems, tahnedir sbigunsiifinceasns tliyn teenllihgaennccee tchaepira bpirloitfiiets maanrdg inmsa. rLkeevt epraogsiitnigon oinugr stsrpaetceigaileizse.d Coupang Product Data Scraping Solutions scraping tools, the cTlihenet Cgaliineend tthe strategic edge necessary to excel within Coupang's fast-evolving marketplace. 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The client revolutionized their approach to pricing strategy and inventory Inmstaenaadg eomf enret lybinyg imopnl emmeanntuinagl daadtvaa nccoeldle cGtiroonc,e ryFo oPdrihcueb DRaetav ieSwcsra pDinagta Ctoellcehcntioolnog tiherso. ugThh issc rarepsinuglt eadll owins froerm reaarkl-atbimlee aimccpersosv etom ean ltasr gein v omluamrkee ot f responsiveness, profit margins, and substantial revenue growth. strCulciteunretd Sduatcac, ewshsic hS tiso ersysential for making informed decisions.