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GeoIp2\Model\City Object
(
    [raw:protected] => Array
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            [city] => Array
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                    [geoname_id] => 4509177
                    [names] => Array
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                            [es] => Estados Unidos
                            [fr] => États Unis
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                            [pt-BR] => EUA
                            [ru] => США
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            [traits] => Array
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    [continent:protected] => GeoIp2\Record\Continent Object
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                    [geoname_id] => 6255149
                    [names] => Array
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                            [de] => Nordamerika
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                            [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
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    [country:protected] => GeoIp2\Record\Country Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
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                            [es] => Estados Unidos
                            [fr] => États Unis
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                )

            [validAttributes:protected] => Array
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                    [0] => queriesRemaining
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        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [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
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    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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    [traits:protected] => GeoIp2\Record\Traits Object
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                    [ip_address] => 216.73.216.48
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                    [network] => 216.73.216.0/22
                )

            [validAttributes:protected] => Array
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                    [2] => connectionType
                    [3] => domain
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                    [8] => isHostingProvider
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                    [11] => isPublicProxy
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                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
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                )

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    [city:protected] => GeoIp2\Record\City Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [geoname_id] => 4509177
                    [names] => Array
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                            [de] => Columbus
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                            [fr] => Columbus
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                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
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            [validAttributes:protected] => Array
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    [location:protected] => GeoIp2\Record\Location Object
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            [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
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                    [0] => averageIncome
                    [1] => accuracyRadius
                    [2] => latitude
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                    [4] => metroCode
                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

        )

    [postal:protected] => GeoIp2\Record\Postal Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => 43215
                )

            [validAttributes:protected] => Array
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                    [0] => code
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    [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
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                                    [pt-BR] => Ohio
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                    [validAttributes:protected] => Array
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)
 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
)
Daily Dataset Updates for a Grocery Startup in Faridabad-01

Introduction

The surge in online grocery shopping during Black Friday presents unique opportunities and challenges for quick commerce platforms. Understanding how delivery times influence pricing is critical for retailers looking to maximize sales while ensuring customer satisfaction. Leveraging Quick Commerce Scraping , businesses can gather actionable insights on thousands of products in real time. Actowiz Solutions specializes in Grocery Data Scraping using advanced Web Scraping Services, Web Scraping API, and web scraping with AI to monitor fluctuations in pricing and availability. Our expertise in Quick Commerce Price Tracking enables platforms to capture Real-Time Grocery Pricing Analytics and detect trends such as Black Friday Grocery Pricing and Black Friday Grocery Discounts. With accurate, hyperlocal insights, businesses can balance delivery speed with competitive pricing, optimize stock management, and respond to changing Black Friday Grocery Shopping Trends, ensuring customers enjoy timely deliveries without compromising on value.

The Client

The client is a leading Indian quick commerce platform specializing in hyperlocal grocery delivery. With a growing customer base in major urban centers, the platform experiences massive order volumes during Black Friday sales. Their primary objective was to offer Instant Grocery Delivery vs Price options while maintaining competitive rates. The client sought a solution that could provide real-time insights into pricing and delivery time variations across multiple locations, ensuring that promotional offers translated into actual sales. They needed an end-to-end monitoring system capable of tracking Hyperlocal Grocery Pricing Strategies and managing Price Monitoring for Grocery Delivery efficiently. The platform recognized that accurate, data-driven decision-making during peak sales events could enhance operational efficiency, improve customer satisfaction, and boost revenue. Actowiz Solutions was approached to implement a robust Quick Commerce Price Tracking framework tailored to their specific requirements, leveraging advanced data scraping and AI-driven analytics tools.

Key Challenges

The-Client

During Black Friday, the client faced multiple challenges that impacted their ability to optimize pricing and delivery performance. The first major issue was understanding the correlation between delivery times and pricing across different neighborhoods, as rapid deliveries often incurred higher operational costs. Second, the client needed real-time visibility into Black Friday Grocery Pricing and Black Friday Grocery Discounts across competitors to remain competitive without eroding margins. Third, monitoring hyperlocal pricing variations was complicated due to the sheer volume of products, fluctuating stock levels, and variable demand patterns. Traditional manual tracking methods were insufficient to capture timely insights, creating gaps in decision-making. Additionally, the client lacked predictive analytics capabilities to anticipate delivery delays or pricing spikes during peak hours. The absence of a centralized data solution meant that operational and pricing strategies were reactive rather than proactive. Lastly, ensuring Quick Commerce Price Tracking accuracy while scaling operations across multiple cities was a major concern, requiring a sophisticated system capable of handling large-scale Grocery Data Scraping and Real-Time Grocery Pricing Analytics efficiently.

Key Solutions

The-Client

Actowiz Solutions implemented a comprehensive solution for the client, combining advanced Quick Commerce Price Tracking with AI-driven insights and scalable Grocery Data Scraping. First, we deployed Web Scraping Services and Web Scraping API to extract real-time product pricing, discounts, and availability across multiple hyperlocal stores. This enabled the client to monitor Black Friday Grocery Pricing and Black Friday Grocery Discounts as they evolved throughout the day. Using web scraping with AI, our team analyzed correlations between delivery times and price fluctuations, allowing the client to optimize Instant Grocery Delivery vs Price strategies.

Next, we implemented hyperlocal monitoring to capture location-specific variations in stock and pricing, supporting Hyperlocal Grocery Pricing Strategies. Predictive analytics models were integrated to anticipate delivery delays and price spikes, enhancing operational decision-making. Using these insights, the client could dynamically adjust pricing, promotional offers, and delivery prioritization. Our Quick Commerce Price Tracking framework also enabled real-time dashboards, providing actionable Real-Time Grocery Pricing Analytics for decision-makers. The system ensured that Price Monitoring for Grocery Delivery was accurate, scalable, and capable of handling the massive order volumes experienced during Black Friday.

Overall, the integrated approach empowered the client to maintain competitive pricing, manage delivery efficiency, and maximize revenue, while gaining a data-driven understanding of customer preferences and market dynamics during one of the busiest sales periods of the year.

Client Testimonial

"Actowiz Solutions transformed how we approach Black Friday operations. Their Quick Commerce Price Tracking system provided real-time insights into delivery times, pricing, and stock availability, allowing us to optimize our hyperlocal strategies effectively. We could track Black Friday Grocery Discounts and adjust pricing dynamically, resulting in higher sales and improved customer satisfaction. The predictive analytics and Real-Time Grocery Pricing Analytics dashboards were game-changers for our decision-making process. Actowiz’s team combined technical expertise with strategic guidance, making them an invaluable partner in achieving operational excellence during peak sales events."

–Head of Operations

Conclusion

The case study demonstrates how Quick Commerce Price Tracking is critical for managing grocery delivery performance and pricing strategies during high-demand periods such as Black Friday. By leveraging Actowiz Solutions’ expertise in Grocery Data Scraping, Web Scraping Services, and web scraping with AI, the client achieved real-time visibility into pricing, stock availability, and delivery times. Our solutions enabled the client to implement effective Hyperlocal Grocery Pricing Strategies, monitor Black Friday Grocery Pricing and Black Friday Grocery Discounts, and gain actionable Real-Time Grocery Pricing Analytics. The predictive insights allowed for efficient Instant Grocery Delivery vs Price management and improved operational decisions. With continuous Price Monitoring for Grocery Delivery, the client could maintain a competitive edge while ensuring customer satisfaction. Actowiz Solutions’ Quick Commerce Price Tracking framework proved to be a scalable, accurate, and strategic tool, driving revenue growth and operational efficiency during one of the most critical shopping events of the year.

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

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