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    [traits:protected] => GeoIp2\Record\Traits Object
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 country : United States
 city : Columbus
US
Array
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    [country_code] => US
)
Weekly E-commerce Price Comparison in Amazon India - Trends & Insights-01

Introduction

The year 2026 ushers in a new era for e-commerce, defined by hyper-competition, dynamic pricing, and an arms race in anti-bot technology. For businesses to thrive in this environment, real-time price intelligence from giants like Amazon and Walmart is no longer a luxury—it’s an absolute necessity. But the traditional methods of web scraping are rapidly becoming obsolete. Websites are deploying AI-powered anti-bot defenses that make manual or basic scraping tools virtually useless.

This is where Actowiz Solutions stands at the forefront. As pioneers in AI-driven web scraping services and advanced data extraction, we’ve engineered sophisticated solutions that not only bypass 2026’s toughest website defenses but also deliver meticulously clean, structured, and actionable price data. This comprehensive guide will explore the critical importance of price data, delve into the new challenges posed by AI-backed anti-scraping, and demonstrate how Actowiz Solutions leverages Artificial Intelligence to provide unparalleled Amazon price scraping and Walmart price scraping capabilities, ensuring your e-commerce strategy remains agile and competitive.

The Unyielding Imperative: Why Amazon & Walmart Price Data is Gold in 2026

In a world where online purchasing decisions are made in seconds, pricing is often the most significant differentiator. For any business operating in the e-commerce ecosystem, be it a direct competitor, a brand selling through these marketplaces, or a market research firm, granular access to competitor pricing data from Amazon and Walmart is critical.

Key Applications of Price Data:
  • Dynamic Pricing Optimization: Adjust your product prices in real-time to always be competitive, especially vital for winning the coveted Amazon Buy Box.
  • Competitor Monitoring: Understand competitor strategies, identify promotional campaigns, and detect price wars.
  • Product Assortment Optimization: Discover new products, identify gaps in your own catalog, and understand best-sellers.
  • Inventory Management: Anticipate demand shifts based on competitor pricing and stock levels.
  • Brand Protection: Monitor Minimum Advertised Price (MAP) violations across various sellers.
  • Market Trend Analysis: Spot emerging trends, popular product categories, and regional price variations.
  • Supplier Negotiation: Leverage competitor pricing to negotiate better deals with your suppliers.

Without accurate, up-to-date, and comprehensive price data from these market leaders, businesses are essentially navigating blindfolded. The ability to scrape Amazon prices and scrape Walmart prices reliably provides the strategic insights needed to react swiftly and decisively.

The New Battlefield: AI vs. AI in Web Scraping (2026 Challenges)

Weekly E-commerce Price Comparison in Amazon India - Trends & Insights-01

The landscape of data extraction has fundamentally shifted. Websites are no longer just looking for simple bot patterns; they are using Machine Learning (ML) and Artificial Intelligence (AI) to analyze user behavior, detect anomalies, and deploy sophisticated blocking mechanisms.

The Evolution of Anti-Scraping Defenses in 2026:
  • Behavioral Analysis: Websites now analyze mouse movements, scroll patterns, typing speed, and even the time spent on a page to differentiate humans from bots. AI models flag any deviation from typical human behavior.
  • Advanced CAPTCHAs (Generative & Behavioral): Beyond traditional image recognition, 2026 sees CAPTCHAs that learn from past interactions, making it harder for automated solvers. Some even require complex, multi-step human-like interactions.
  • Browser Fingerprinting: Websites can create a unique "fingerprint" of your browser based on its configuration, plugins, fonts, and even hardware details. Any inconsistency in this fingerprint during scraping can lead to immediate blocking.
  • Bot Detection Networks: Services like Cloudflare, DataDome, and PerimeterX have evolved, leveraging vast networks of data to identify and block known scraping infrastructure, often in real-time.
  • Dynamic Content Obfuscation: Product prices and other critical data points are often loaded via complex JavaScript, sometimes obfuscated or rendered conditionally, making them invisible to basic HTML parsers.
  • Rate Limiting with Adaptive Throttling: Instead of a simple block, sites might progressively slow down responses or increase CAPTCHA frequency for suspicious IPs, making scraping inefficient and costly.

These challenges highlight a crucial point: effective Amazon web scraping and Walmart web scraping in 2026 requires more than just proxy rotation. It demands an AI-powered web scraping solution – and that’s precisely what Actowiz Solutions offers.

The Actowiz Solutions Advantage: AI-Powered Price Scraping for 2026

At Actowiz Solutions, we have embraced Artificial Intelligence not just as a buzzword, but as the foundational technology for our next-generation data extraction services. Our approach to scraping Amazon prices and scraping Walmart prices is built on intelligent automation, adaptive learning, and robust infrastructure designed to navigate the toughest digital environments.

1. AI-Driven Anti-Bot Bypass & CAPTCHA Solving:

Our proprietary technology leverages Machine Learning models trained on vast datasets of human browsing behavior. This allows our scrapers to:

  • Mimic Human Interaction: Simulate realistic mouse movements, scrolls, and click patterns, making our bots indistinguishable from genuine users.
  • Adaptive CAPTCHA Solving: Integrate advanced AI models that can solve even the most complex behavioral and generative CAPTCHAs, reducing downtime and ensuring continuous data flow.
  • Intelligent IP Rotation: Beyond simple rotation, our system uses AI to identify "clean" IPs from our global residential proxy network, dynamically switching based on website response and proxy reputation, minimizing detection risk for Amazon price monitoring and Walmart competitor analysis.
2. Self-Healing Scrapers with Layout Adaptability:

E-commerce websites frequently update their layouts, HTML structures, and class names. This is a common pitfall for traditional scrapers, which break with every minor website change.

  • AI for Structure Learning: Our scrapers utilize Deep Learning algorithms to understand the semantic meaning of data points (e.g., identifying a "price" element regardless of its HTML tag or class name).
  • Automated Adaptation: When a website layout changes, our AI automatically re-learns the new structure and adjusts the extraction rules, ensuring continuous Walmart data extraction and Amazon product data scraping without manual intervention. This dramatically reduces maintenance costs and ensures uninterrupted data supply.
3. High-Fidelity Browser Emulation:

Modern anti-bot systems perform extensive browser fingerprinting. Our solution employs advanced techniques to emulate real browsers down to the minutest detail.

  • Custom Browser Environments: We create custom headless browser environments that precisely mimic specific browser versions (Chrome, Firefox) and their associated fingerprints (headers, JavaScript execution environment, WebGL data).
  • TLS Fingerprint Spoofing: Our technology can spoof TLS fingerprints, making our requests appear as if they are coming from a legitimate browser, crucial for evading sophisticated network-level detection for both Amazon and Walmart price comparison.
4. Real-Time Data Delivery via API:

For dynamic pricing and competitive insights, data freshness is paramount.

  • Low-Latency Infrastructure: Our cloud-based infrastructure is optimized for speed, performing Amazon price checks and Walmart inventory monitoring at high frequencies.
  • Direct API Integration: We deliver structured data directly into your CRM, ERP, BI tools, or custom applications via robust and secure APIs, enabling immediate consumption and action.

Sample Data: What Actowiz Solutions Delivers

To illustrate the clarity and detail of the data Actowiz Solutions provides, consider these examples of structured price data from Amazon and Walmart. This is just a glimpse; data points can be customized to your exact requirements.

Sample Amazon Product Price Data (JSON Format):
[
  {
    "asin": "B09ABCDEFG",
    "product_name": "Echo Dot (5th Gen, 2026 release) | Smart speaker with Alexa",
    "brand": "Amazon",
    "category": "Electronics > Smart Home > Smart Speakers",
    "current_price": {
      "value": 49.99,
      "currency": "USD"
    },
    "list_price": {
      "value": 59.99,
      "currency": "USD"
    },
    "discount_percentage": 16.67,
    "seller_name": "Amazon.com",
    "buy_box_status": "Won by Amazon.com",
    "in_stock": true,
    "shipping_info": "FREE Shipping by Amazon",
    "prime_eligible": true,
    "average_rating": 4.6,
    "number_of_reviews": 12450,
    "last_updated": "2026-01-20T14:35:00Z",
    "url": "https://www.amazon.com/dp/B09ABCDEFG"
  }
]
Sample Walmart Product Price Data (CSV Format):
Product_ID,Product_Name,Brand,Category,Current_Price,Currency,List_Price,Discount_Percentage,Seller_Type,In_Stock,Shipping_Cost,Average_Rating,Number_of_Reviews,Last_Updated,URL
123456789,HP Pavilion Laptop 15-eg2000 (2026 Model),HP,Electronics > Laptops,699.00,USD,799.00,12.51,"Walmart (1P)",TRUE,0.00,4.5,850,"2026-01-20T14:30:00Z","https://www.walmart.com/ip/123456789"

This structured data allows for immediate integration into your Business Intelligence dashboards, pricing algorithms, or inventory management systems, making data-driven decisions seamless.

Transforming Your E-commerce Strategy with Actowiz Solutions

Leveraging AI-powered web scraping from Actowiz Solutions provides a multitude of strategic advantages for your e-commerce business in 2026.

1. Gain Unprecedented Market Visibility:
  • Comprehensive Competitor Analysis: Monitor hundreds of thousands of products across Amazon and Walmart to understand pricing trends, promotional activities, and product launches of your rivals.
  • Regional Price Differences: For global brands, understanding price variations across different Amazon locales (e.g., Amazon.com vs. Amazon.co.uk vs. Amazon.ae) is critical. Actowiz provides localized data extraction.
2. Optimize Your Pricing for Maximum Profitability:
  • Dynamic Pricing Models: Feed real-time competitor prices into your dynamic pricing engine to automatically adjust your prices, ensuring you're always competitive without sacrificing margins.
  • Loss Leader Identification: Identify which products your competitors are using as loss leaders and strategize accordingly.
  • Promotional Effectiveness: Measure the impact of competitor promotions and tailor your own campaigns for maximum ROI.
3. Enhance Product Development and Merchandising:
  • Demand Sensing: Scrape product reviews and ratings to understand customer preferences and identify product features that are resonating (or failing).
  • Gap Analysis: Discover product categories where demand is high but supply is low from competitors.
  • Trend Spotting: Quickly identify popular products and emerging trends before they become mainstream.
4. Ensure Compliance and Brand Reputation:
  • MAP Monitoring: Automatically detect Minimum Advertised Price (MAP) violations by third-party sellers on marketplaces.
  • Counterfeit Detection: Monitor for unauthorized sellers or counterfeit products using your brand name.

Beyond Prices: The Future of E-commerce Data with Actowiz

While price data is crucial, Actowiz Solutions' capabilities extend far beyond. In 2026, the demand for holistic e-commerce intelligence includes:

  • Customer Review Scraping: Extracting sentiment from millions of reviews to understand product strengths and weaknesses, ideal for AI training data for NLP models.
  • Product Specification Extraction: Gathering detailed product attributes, dimensions, materials, and features for comparative analysis.
  • Seller Performance Metrics: Monitoring seller ratings, shipping speeds, and customer service reviews on marketplaces.
  • Advertising Spend Insights: While direct scraping isn't possible, analyzing ad placements and sponsored product visibility can offer clues.

Actowiz Solutions empowers businesses to construct a 360-degree view of the e-commerce landscape, providing the data intelligence necessary to make informed decisions across product, marketing, sales, and operations.

Case Study Spotlight: Fueling a UAE E-commerce Giant’s Buy-Box Domination

A leading e-commerce aggregator based in Dubai faced immense pressure from international and local competitors on platforms like Noon and Amazon UAE. Their manual price monitoring efforts were slow, inaccurate, and frequently blocked.

The Challenge:
  • Monitor 750,000+ products across Noon.com and Amazon.ae.
  • Achieve real-time price updates (every 30 minutes) for critical SKUs.
  • Overcome advanced anti-bot defenses specific to the Middle Eastern market.
  • Integrate clean, structured data directly into their existing dynamic pricing engine.
The Actowiz Solutions Approach:
  • Deployed a custom AI-powered web scraping solution optimized for Middle Eastern IPs and specific website structures.
  • Utilized self-healing scrapers to automatically adapt to frequent layout changes on both platforms.
  • Implemented a robust residential proxy network with geo-targeting for the UAE to ensure consistent access.
  • Provided real-time data delivery via a secure API integration, enabling instant price adjustments.
The Impact:

The client saw a phenomenal 27% increase in their Buy-Box win rate during peak sales seasons in early 2026. Their pricing became more agile, their inventory management improved, and they gained a critical competitive edge in the highly saturated UAE e-commerce market. This success story underscores Actowiz Solutions' capability to deliver tangible ROI through superior data extraction.

Choosing the Right Partner: Why Actowiz Solutions is Your Best Bet for 2026

When it comes to Amazon and Walmart price scraping in 2026, partnering with a specialist is paramount. Here's why Actowiz Solutions is the preferred choice for forward-thinking businesses:

  • Unrivaled AI Expertise: We are not just using tools; we are building and refining AI models specifically for web scraping, anti-bot bypass, and data parsing.
  • Scalability & Reliability: Our cloud-native infrastructure can handle massive data volumes and complex scraping tasks with 99.9% uptime, ensuring your data flow is never interrupted.
  • Customization: We don't offer one-size-fits-all solutions. Every project is tailored to your specific data needs, delivery formats, and compliance requirements.
  • Ethical & Compliant Practices: We adhere strictly to ethical scraping guidelines and legal frameworks (GDPR, CCPA), ensuring your data acquisition is risk-free.
  • Dedicated Support: Our team of data engineers and client success managers provides continuous support and expertise.
  • Proven Track Record: Our extensive portfolio of successful projects across diverse industries (e-commerce, AI, finance, real estate) speaks for itself.

The Road Ahead: Embrace Data, Empower Decisions

The future of e-commerce in 2026 belongs to those who can master the art of data acquisition and utilization. Amazon and Walmart price data are just the tip of the iceberg. With Actowiz Solutions as your strategic partner, you gain access to the most advanced AI-powered web scraping services, transforming the daunting challenge of data extraction into your most potent competitive advantage.

Stop struggling with broken scrapers and outdated data. Start making truly data-driven decisions that propel your business growth.

Ready to unlock the full potential of e-commerce data? [Contact Actowiz Solutions Today for a Free Consultation and Sample Data!]
Contact Us Today!

Conclusion

You can also reach us for all your mobile app scraping, data collection, web scraping , and instant data scraper service requirements!By leveraging Actowiz Solutions, your business stays ahead of the competition, armed with actionable insights from every marketplace.

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                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                )

            [traits] => Array
                (
                    [ip_address] => 216.73.216.150
                    [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] => 216.73.216.150
                    [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
)

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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:

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)

✓ Daily voucher & cashback tracking via Push & Pull APIs

Industry:

Coffee / Beverage / D2C

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2x Faster

Smarter product targeting

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“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

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Quick Commerce

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Inventory Decisions

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“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

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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

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