Real-Time Pricing API for India eCommerce – Building a Multi-Platform Price Tracking System for Amazon, Flipkart, Myntra & Ajio
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Introduction
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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.
About the Client
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fiRGrBsete ubsunitsdienaeefiuss,tr tsheny rteslied heavily on marketplace performance for sales and 
customer acquisition. To optimize pricing and stay competitive, they required 
a centralized data engine capable of continuously analyzing the four biggest 
Indian marketplaces. Their goal was to integrate a unified Scraping API for 
Amazon, Flipkart, Myntra & Ajio into their internal BI dashboards, helping 
their pricing and category teams make swift, data-driven decisions. The client 
needed unmatched reliability, automation, and lightning-fast data refresh 
rates.
Challenges & Objectives
InInttrroodduuccttioi n
Tohisn blog will provide a comprehensive overview of datasets, including their definition, Ldeiffvereangtin tgy ptehse  oafp dparotapsreiattse, aAnPdI  mstaraketesg siecrsa fpoirn gm TarxipimAdizvinisgo rt hoen  vaa luaerg oef  sdcaatlae. a straightforward 
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Amidst TripAdvisor's vast sea of information lies a treasure trove awaiting extraction, 
Waen awlyilsli sn, aavnigda itnen othvarotiuvgeh p trhesee ninttartiicoanc.i eFso ro tfh Zoosem iant ot hSec rtaopuerirs,m u,n hcosvpeirtianlgit yi,t so rc tarpaavbeill istieecst otros , 
phroavrnidees siynogu  TrwipitAhd vriiscohr,  draetaal -tpimroev erse sintavuarluaanbt led afotar . mForonmito rsincgra pcionmg peretisttoarusr antd  dseutpapilosr titnog  
asctcreastesignigc  cbuusstionmesesr  rdeevcieiswiosn, so.u Tr hde taTriliepdA dgvuisidoer  eSncsruarpeesr  thfaacti lyitoaut ehsa rsneeasms ltehses  fualnl dp ortaepnitdia lw oefb  
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.
Challenges
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• Frequent Price Fluctuations: Prices changed multiple times per hour, 
requiring near real-time monitoring.
• High Volume SKU Coverage: The client needed millions of price checks 
monthly across thousands of SKUs.
• Manual Monitoring Was Inefficient: Human-based tracking failed to 
capture dynamic changes accurately.
Objectives
• Automate Cross-Platform Price Tracking: Build a centralized pricing API 
reducing manual workload by 95%.
• Enable Real-Time Insights: Push price, availability, and discount updates 
every 2–5 minutes.
• InImtprroovde Puriccintgi Accuracy: Support instant decision-making for revenue, Inmtrarokedtinug,c antdi oinvnentory teams.
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prices drives this behavior. Consequently, a significant portion of online shoppers actively 
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Real-Time Synchronization Layer
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system pushed continuous pricing updates into the client's dashboards.
Technical Roadblocks
Using Pricing Intelligence API for Amazon & Flipkart once.
• Anti-Bot Restrictions: Platforms employ evolving anti-scraping 
mechanisms, which required rotating proxies, fingerprint emulation, and 
adaptive browser flows.
• Dynamic Price Elements: Prices on Amazon and Flipkart often load via 
dynamic JS elements. The Pricing Intelligence API for Amazon & Flipkart 
was built using headless automation and DOM stabilization to capture 
accurate values.
• High-Speed, High-Volume Requirements: The client required over 8 million 
Inprticre ochdecuksc pteri month. We implemented distributed systems and Inatsrynochdrounocuts icorawnlers to maintain speed while avoiding throttling.
Tohisn blog will provide a comprehensive overview of datasets, including their definition, Ldeiffvereangtin tgy ptehse  oafp dparotapsreiattse, aAnPdI  mstaraketesg siecrsa fpoirn gm TarxipimAdizvinisgo rt hoen  vaa luaerg oef  sdcaatlae. a straightforward 
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 need to possess advanced computer skills to achieve this. Our 
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Results & Key Metrics
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Benefits
• 95% Reduction in Manual Tracking Efforts: The pricing team transitioned 
from manual checks to automated intelligence.
• 99.3% Data Accuracy: Ensured reliable pricing data for competitive 
decisions.
• 4X Faster Price Updates: Real-time price feeds refreshed every 2–3 
minutes.
• 3.2X Better Decision Speed: Time-to-action for price changes reduced 
drastically.
Business Impact Narrative
Actowiz's system improved the client's ability to respond to market changes 
instantly. The Extract API for E-commerce Data became the backbone of their 
prIincintgr eongdinue, chetlpiing optimize promotions, outrank competitors, and 
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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.
Why Partner with Actowiz Solutions?
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RGeusiRtdaeeustaurant Data – A Detailed Gu
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1.B Enetenrperisfie-trLesvenl Etxspertise
Years of experience powering large-scale retail intelligence systems.
2. Scalable Infrastructure
Support for millions of SKUs across hundreds of categories.
3. Customizable Data Outputs
Tailored dashboards, APIs, feeds, and analytics pipelines.
4. 99%+ Uptime & Precision
Ensures seamless usage even during peak sale periods.
Actowiz’s Real-Time Pricing API for India eCommerce is engineered for high-
performance brands that require speed, reliability, and accuracy. We offer 
expert support, secure systems, and unmatched flexibility.
Conclusion
UsIinngt: rWoebd sucracptinig API, Custom Datasets, instant data scraper once each.Introduction
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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.
FAQs
EHxotrwacting Information from TripAdvisor: 
1A.W H oGhwu adH
 toow Effectively Use Competitor Price oited sa ethr ete  Rote oDa lS- TaUicmtrseaa ePsrTrackers: p
 iecZiintnogs gAm?P I D a-co talAloetc  taC Ad aofPtarm?Io tpmor  eHShcoertnaepslsiev  aen d 
The sysRteme fsettcaheus lOrivaep dneattar  uaDsitnaigot aaunt oa–m la AtGe dDu criaedwtlaiangni elcnegedin e asG tnhuadti m doenitor 
pRrGBoedeuuscnittd leaisetifiungtrss acnrotsss Amazon, Flipkart, Myntra, and Ajio. It processes prices, 
discounts, stock, and delivery details in real time and delivers unified, 
structured outputs via API.
2. Can the API support millions of price checks per day?
Yes. The architecture is built using distributed crawling systems, asynchronous 
pipelines, and load-balanced microservices. This ensures fast, uninterrupted 
data extraction even during high-traffic periods such as festive sales or 
platform flash deals.
.
3. What data fields are included in the pricing API?
We provide MRP, selling price, coupon details, deal-based pricing, stock status, 
delivery SLA, ratings, seller details, and platform-specific promotions. 
Additional custom fields can be added upon request for category teams or BI 
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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.
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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 
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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.