🎃 Halloween Nightmare Deals: 35% OFF Web Data Extraction Services from Oct 31 – Nov 7! 🎃

Grab Now
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] => 216.73.216.165
                    [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] => 216.73.216.165
                    [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
)

Introduction

The Indian fashion e-commerce market is growing rapidly, with platforms like Myntra, Ajio, and Nykaa leading in online sales, product variety, and seasonal promotions. For fashion retailers and brands, gaining real-time insights into competitor pricing, product assortment, and market trends is critical for strategic decision-making. Real-Time API Scraping from Myntra, Ajio & Nykaa provides actionable intelligence on SKUs, promotions, discounts, and inventory trends, enabling businesses to benchmark performance and optimize strategies across fashion categories.

Manual monitoring of fashion marketplaces is inefficient due to constantly changing product listings, frequent discount updates, and dynamic pricing strategies. Leveraging Real-time product data scraping from fashion marketplaces, companies can extract structured data for analysis, including product names, categories, prices, and promotional information. API-based extraction enables automated, scalable, and reliable data collection.

This report highlights how Real-Time API Scraping from Myntra, Ajio & Nykaa can help retailers track fashion trends, analyze pricing strategies, and make data-driven decisions to stay competitive. Using structured datasets from Extract product listings from Myntra & Ajio and Market Intelligence API Data Extraction for Nykaa, brands can optimize pricing, inventory, and marketing campaigns efficiently.

Tracking Fashion Prices Across Platforms

img

Pricing is one of the most important factors influencing customer purchase decisions in India's online fashion market. Between 2020 and 2025, the e-commerce fashion sector witnessed significant growth, with seasonal discounts ranging from 10% to 30% across major categories including apparel, footwear, and accessories. Real-Time API Scraping from Myntra, Ajio & Nykaa enables retailers to monitor dynamic pricing, promotional campaigns, and discount trends in real time. This structured data allows brands to benchmark pricing strategies against competitors, identify high-performing SKUs, and forecast market trends.

Using Fashion Ajio Price Tracking via API Scraping, businesses can track historical pricing trends and promotional patterns on Ajio. Similarly, Extract Myntra API Product Data provides insights into Myntra's frequent flash sales and seasonal promotions, while Market Intelligence API Data Extraction for Nykaa tracks cosmetics, lifestyle, and apparel pricing trends. This cross-platform monitoring allows retailers to make informed pricing decisions and respond promptly to competitor strategies.

Year Myntra Avg Discount (%) Ajio Avg Discount (%) Nykaa Avg Discount (%) Key Categories
2020 14% 12% 10% Apparel, Footwear
2021 16% 14% 12% Apparel, Accessories
2022 18% 16% 14% Apparel, Cosmetics
2023 20% 18% 16% Footwear, Accessories
2024 22% 20% 18% Apparel, Lifestyle
2025 25% 23% 20% All Categories

By leveraging Real-time product data scraping from fashion marketplaces, retailers can monitor high-demand SKUs, detect underperforming products, and track discount effectiveness. This empowers businesses to implement competitive pricing strategies, align promotions with consumer demand, and maximize revenue during peak seasons.

Product Assortment and Availability Analysis

Assortment depth and product availability are critical for customer satisfaction and conversion rates. Using Extract product listings from Myntra & Ajio, brands can analyze category-wise product counts, inventory distribution, and stock movement trends. Between 2020 and 2025, top categories maintained an average SKU availability of 85-92% during peak shopping seasons. Tracking stockouts and high-demand products enables proactive inventory management and reduces lost sales opportunities.

Web Scraping Ajio Data provides visibility into Ajio's category-level assortment, while Extract Nykaa Website Data offers insights into cosmetics and lifestyle products. Historical data shows that platforms with better SKU coverage and inventory reliability achieved 15-20% higher conversion rates compared to those with frequent stockouts.

Year Myntra SKU Count Ajio SKU Count Nykaa SKU Count Avg Availability (%)
2020 150,000 120,000 80,000 85%
2021 175,000 135,000 95,000 87%
2022 200,000 150,000 110,000 89%
2023 225,000 165,000 125,000 90%
2024 250,000 180,000 140,000 91%
2025 280,000 200,000 160,000 92%

API-based extraction allows monitoring of newly launched SKUs, discontinued products, and trending items. Web Scraping API for fashion market intelligence ensures real-time updates, enabling brands to optimize assortment strategies and maintain category leadership across marketplaces.

Competitive Promotions and Discount Monitoring

Promotions significantly impact consumer purchase behavior. Using Web Scraping API for fashion market intelligence, brands can capture real-time promotional activities across Myntra, Ajio, and Nykaa. Between 2020 and 2025, festival-based sales and flash promotions offered discounts up to 30% on high-demand categories. By tracking competitor promotions, retailers can align their campaigns and maximize ROI.

Year Avg Flash Sale Discount (%) Avg Seasonal Discount (%) Promotions Monitored
2020 15% 12% 500
2021 16% 14% 650
2022 18% 16% 800
2023 20% 18% 1,000
2024 22% 20% 1,250
2025 25% 23% 1,500

Price Monitoring Services allow tracking of flash sales, bundle offers, and exclusive platform promotions. Real-time alerts on competitor discounts enable brands to adjust their pricing dynamically and maintain competitive advantage. Historical trend analysis indicates that businesses responding within 24 hours to competitor promotions saw a 10-15% increase in conversion rates.

SKU-Level Insights for Strategic Decisions

SKU-level monitoring allows granular insights into product performance, inventory levels, and pricing trends. Extract Myntra API Product Data and Web Scraping Ajio Data provide SKU-specific information, enabling retailers to identify high-demand products and underperforming items. SKU-level insights facilitate inventory planning, category optimization, and dynamic promotion strategies.

Year Total SKUs Monitored High-Demand SKUs (%) Low-Demand SKUs (%)
2020 50,000 30% 20%
2021 60,000 32% 18%
2022 70,000 34% 16%
2023 80,000 36% 14%
2024 90,000 38% 12%
2025 100,000 40% 10%

By combining SKU-level insights with pricing and promotion data, businesses can optimize product assortment, forecast demand, and implement dynamic pricing models effectively.

Trend Forecasting Using Historical Data

Historical data is essential for predicting future trends. Real-time product data scraping from fashion marketplaces provides historical price, discount, and stock data from 2020-2025. By analyzing these trends, brands can forecast demand, plan inventory, and optimize marketing campaigns.

Year Avg Apparel Trend Score Avg Footwear Trend Score Avg Accessories Trend Score
2020 70 65 60
2021 72 67 62
2022 74 69 64
2023 76 71 66
2024 78 73 68
2025 80 75 70

Brands can anticipate peak demand periods, respond to emerging fashion trends, and align promotional strategies with consumer behavior using trend forecasting.

Leveraging APIs for Scalable Fashion Intelligence

Scalability is critical for continuous competitive monitoring. Real-Time API Scraping from Myntra, Ajio & Nykaa ensures automated and structured data collection at scale. By using Web Scraping API and Data Intelligence Services, retailers can efficiently process large volumes of product and pricing data.

Platform Avg Products Scraped per Day Avg API Calls per Hour
Myntra 150,000 1,500
Ajio 120,000 1,200
Nykaa 80,000 800

Automated scraping allows real-time monitoring of competitor prices, promotions, and inventory, enabling dynamic decision-making and rapid response to market changes. Combining historical and real-time data provides actionable insights for SKU-level analysis, pricing optimization, and assortment planning.

Real-Time API Scraping from Myntra, Ajio & Nykaa empowers retailers to maintain competitiveness, maximize revenue, and implement data-driven strategies across India's fashion e-commerce landscape.

Actowiz Solutions provides end-to-end solutions for Real-Time API Scraping from Myntra, Ajio & Nykaa. By leveraging automated APIs, we extract structured product data, including pricing, discounts, inventory, and promotional activity. Our Web Scraping API services allow continuous monitoring, delivering actionable insights for SKU-level analysis, pricing optimization, and assortment planning.

With historical and real-time datasets, brands can forecast trends, track competitor activity, and benchmark performance. Extract product listings from Myntra & Ajio and Market Intelligence API Data Extraction for Nykaa ensure comprehensive coverage of fashion categories. Actowiz's solutions reduce manual effort, improve data accuracy, and enable scalable analysis, empowering retailers to make data-driven decisions and maintain a competitive edge in the fashion e-commerce market.

Conclusion

In India’s fast-growing fashion e-commerce market, monitoring competitor platforms is essential for success. Real-Time API Scraping from Myntra, Ajio & Nykaa provides actionable insights into pricing, promotions, product assortment, and inventory trends. Retailers can benchmark performance, optimize pricing strategies, and respond quickly to market changes.

Actowiz Solutions delivers scalable, automated, and reliable solutions for Real-time product data scraping from fashion marketplaces and Web Scraping Ajio Data, providing structured datasets for trend forecasting, SKU analysis, and promotional strategy planning. Brands leveraging these insights can make informed, data-driven decisions, enhance market positioning, and maximize revenue.

Stay ahead of competitors by implementing Real-Time API Scraping from Myntra, Ajio & Nykaa to track fashion trends, monitor pricing, and optimize business strategies for sustained growth in the dynamic Indian fashion e-commerce sector.

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape Structure Analyze Visualize

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:

Coffee / Beverage / D2C

Result

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

Industry:

Real Estate

Result

2x Faster

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×

Industry:

Organic Grocery / FMCG

Result

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

Industry:

Quick Commerce

Result

2x Faster

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

Industry:

Quick Commerce

Result

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

Industry:

Beverage / D2C

Result

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

Industry:

Quick Commerce

Result

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

Trusted by Industry Leaders Worldwide

Real results from real businesses using Actowiz Solutions

★★★★★
'Great value for the money. The expertise you get vs. what you pay makes this a no brainer"
Thomas Gallao
Thomas Galido
Co-Founder / Head of Product at Upright Data Inc.
Product Image
2 min
★★★★★
“I strongly recommend Actowiz Solutions for their outstanding web scraping services. Their team delivered impeccable results with a nice price, ensuring data on time.”
Thomas Gallao
Iulen Ibanez
CEO / Datacy.es
Product Image
1 min
★★★★★
“Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing highly recommended!”
Thomas Gallao
Febbin Chacko
-Fin, Small Business Owner
Product Image
1 min

See Actowiz in Action – Real-Time Scraping Dashboard + Success Insights

Blinkit (Delhi NCR)

In Stock
₹524

Amazon USA

Price Drop + 12 min
in 6 hrs across Lel.6

Appzon AirPdos Pro

Price
Drop −12 thr

Zepto (Mumbai)

Improved inventory
visibility & planning

Monitor Prices, Availability & Trends -Live Across Regions

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

Our Data Drives Impact - Real Client Stories

Blinkit | India (Retail Partner)

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

US Electronics Seller (Amazon - Walmart)

With hourly price monitoring, we aligned promotions with competitors, drove 17%

✔ Scraped Data, SKU availability, delivery time

Zepto Q Commerce Brand

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

Actowiz Insights Hub

Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place

All
Blog
Case Studies
Infographics
Report
Nov 01, 2025

Retail Strategies for Amazon on Black Friday - How Retailers Can Win Big in 2025’s Shopping Frenzy

Discover effective retail strategies for Amazon on Black Friday 2025 to boost sales, enhance visibility, and outperform competitors during the shopping rush.

thumb

How Price Intelligence Dashboard for Grocery Price Tracking Helped Retailers Optimize Pricing Across Blinkit, BigBasket, and Zepto

Discover how the Price Intelligence Dashboard for Grocery Price Tracking helped retailers optimize pricing, track live prices, and boost profitability across Blinkit, BigBasket, and Zepto.

thumb

Real-Time API Scraping from Myntra, Ajio & Nykaa to Track Fashion Trends and Pricing

Discover how Real-Time API Scraping from Myntra, Ajio & Nykaa provides actionable insights to track fashion trends, pricing, and market intelligence effectively.

Nov 01, 2025

Retail Strategies for Amazon on Black Friday - How Retailers Can Win Big in 2025’s Shopping Frenzy

Discover effective retail strategies for Amazon on Black Friday 2025 to boost sales, enhance visibility, and outperform competitors during the shopping rush.

Oct 31, 2025

Web Scraping Uber & Ola Apps Data Shows 30% Ride Pricing Fluctuations and Driver Availability Patterns! See How!

Discover how web scraping Uber & Ola apps data reveals 30% ride pricing fluctuations, tracks driver availability, and monitors customer ratings for smarter insights.

Oct 30, 2025

How Price Monitoring Software for Retailers Profitability Drives Up to 25% Higher Margins and Smarter Pricing Decisions?

Discover how price monitoring software helps retailers boost profitability by up to 25% through smarter pricing, market insights, and competitive intelligence.

thumb

How Price Intelligence Dashboard for Grocery Price Tracking Helped Retailers Optimize Pricing Across Blinkit, BigBasket, and Zepto

Discover how the Price Intelligence Dashboard for Grocery Price Tracking helped retailers optimize pricing, track live prices, and boost profitability across Blinkit, BigBasket, and Zepto.

thumb

Scraping Macy’s & Kohl’s for Retail Competitiveness to Benchmark Market Performance and Trends

Explore how Scraping Macy’s & Kohl’s for Retail Competitiveness provides actionable insights to benchmark pricing, promotions, and market trends effectively.

thumb

Using Amazon Review Scraping to Enhance Product Offerings and Optimize Seller Ratings

Discover how Amazon review scraping helps identify product gaps, improve offerings, and optimize seller ratings for better performance on the marketplace.

thumb

Real-Time API Scraping from Myntra, Ajio & Nykaa to Track Fashion Trends and Pricing

Discover how Real-Time API Scraping from Myntra, Ajio & Nykaa provides actionable insights to track fashion trends, pricing, and market intelligence effectively.

thumb

Real-Time Electronics Price Tracking for Black Friday - Insights from 2025 Sales Trends and Consumer Behavior

Discover Real-Time Electronics Price Tracking for Black Friday 2025, revealing sales trends, discounts, and consumer behavior insights for smarter retail decisions.

thumb

Real-Time Data Extraction via Web Scraping Vs APIs: Pros, Cons, and Best Use Cases for Businesses

Explore Real-Time Data Extraction via Web Scraping Vs APIs with Actowiz Solutions, uncovering pros, cons, and best use cases for businesses.

phone
Quick Connect
phone
Quick Connect