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GeoIp2\Model\City Object
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                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
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            [postal] => Array
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            [registered_country] => Array
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                            [es] => Estados Unidos
                            [fr] => États Unis
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                            [pt-BR] => EUA
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                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
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            [traits] => Array
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                    [ip_address] => 216.73.216.110
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        )

    [continent:protected] => GeoIp2\Record\Continent Object
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                    [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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                )

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                            [es] => Estados Unidos
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                            [pt-BR] => EUA
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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    [maxmind:protected] => GeoIp2\Record\MaxMind Object
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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
                        (
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                            [en] => United States
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    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
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    [traits:protected] => GeoIp2\Record\Traits Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [ip_address] => 216.73.216.110
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                    [network] => 216.73.216.0/22
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            [validAttributes:protected] => Array
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                    [0] => autonomousSystemNumber
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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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                    [17] => network
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                    [19] => staticIpScore
                    [20] => userCount
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        )

    [city:protected] => GeoIp2\Record\City Object
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                    [geoname_id] => 4509177
                    [names] => Array
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                            [zh-CN] => 哥伦布
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    [location:protected] => GeoIp2\Record\Location Object
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                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
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            [validAttributes:protected] => Array
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                    [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
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                    [code] => 43215
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            [validAttributes:protected] => Array
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                    [0] => code
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        )

    [subdivisions:protected] => Array
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            [0] => GeoIp2\Record\Subdivision Object
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                    [record:GeoIp2\Record\AbstractRecord:private] => Array
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                            [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
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                                )

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)
 country : United States
 city : Columbus
US
Array
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    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
    [asn] => AS16509
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)
Navratri Mega Sale Price Tracking

Introduction

In today’s competitive restaurant landscape, excessive discounting can quietly erode profitability. A premium fine dining brand approached Actowiz Solutions after noticing revenue losses due to uncontrolled offer redemptions and inconsistent reservation demand patterns on Zomato. To address this, we implemented District by Zomato Reservations and Offers Data Scraping to gain structured visibility into live promotions, reservation slots, pricing strategies, and competitor campaigns.

Additionally, we deployed Coupon and Deals Data Scraping to monitor overlapping discounts and track market-wide promotional behavior. Our data-driven framework enabled the brand to identify which offers attracted high-value diners and which were unnecessarily impacting margins. With real-time intelligence and analytics dashboards, the client transitioned from reactive discounting to strategic promotion planning. This transformation allowed them to protect brand positioning, improve table occupancy quality, and drive profitable bookings.

About the Client

Navratri Mega Sale Price Tracking

The client is a luxury fine dining restaurant chain operating in metro cities across India, catering to high-income urban consumers, corporate executives, and celebration-driven diners. Known for curated tasting menus and premium ambiance, the brand positioned itself in the upper-tier hospitality segment.

However, increased competition and aggressive marketplace discounts created pricing pressure. By leveraging Scraping District by Zomato data, the client aimed to understand competitor reservation trends, offer frequency, and demand fluctuations across prime dining hours.

Their target audience includes experience-focused diners who value exclusivity over heavy discounts. The brand needed actionable intelligence to align promotional campaigns with customer expectations while maintaining premium perception.

Challenges & Objectives

Key Challenges
  • Uncontrolled Discount Leakage
    Heavy promotional stacking reduced profit margins despite strong booking numbers.
  • Limited Visibility into Competitor Offers
    Lack of structured District by Zomato data extraction for analytics prevented strategic benchmarking.
  • Fluctuating Reservation Demand
    Weekday occupancy was inconsistent, leading to inefficient campaign spend.
  • Data Silos Across Locations
    No centralized performance tracking across multiple outlets.
Core Objectives
  • Optimize Promotional ROI
    Align offers with peak booking windows.
  • Enhance Booking Quality
    Focus on premium diners rather than discount-driven traffic.
  • Improve Demand Forecasting
    Use structured insights to predict high-traffic slots.
  • Enable Data-Driven Decisions
    Adopt analytics-backed discount strategy planning.

Our Strategic Approach

1. Competitive Intelligence & Offer Benchmarking

Actowiz Solutions implemented a dynamic framework to Extract reservation demand data insights From District and map competitor discount patterns. By analyzing booking slots, redemption limits, and peak-time pricing strategies, we built comparative dashboards highlighting over-discounted categories and profitable time bands. This helped the client differentiate premium offerings instead of competing solely on price.

2. Reservation Trend Analytics & Forecasting

We structured real-time data pipelines to monitor slot-level booking trends and promotional performance. Our system identified correlations between discount percentage and customer type, enabling smarter campaign restructuring. Using predictive analytics, the brand optimized weekday offers and minimized unnecessary high-value discounts during peak demand.

Technical Roadblocks

1. Dynamic Content Rendering

The platform’s dynamic loading architecture required advanced scripting logic to Scrape District by Zomato offers and deals Data efficiently without data loss.

2. Anti-Bot Mechanisms

Strict rate limits and session validations demanded rotating proxies and adaptive crawling frameworks to ensure seamless extraction.

3. Data Normalization Across Locations

Multiple city-based listings created inconsistencies in formatting. We developed structured parsing algorithms to standardize reservation slots, pricing tiers, and promotional metadata for unified analytics.

Our Solutions

Actowiz Solutions deployed a scalable data intelligence system to Extract District by Zomato booking information and unify reservation, discount, and competitor promotion data into centralized dashboards. Through automated pipelines and structured analytics, we enabled continuous monitoring using District by Zomato Reservations and Offers Data Scraping.

Our solution integrated slot-level demand tracking, discount benchmarking, and margin-impact modeling. We created real-time alerts for over-discounting scenarios and built performance reports highlighting revenue-positive offers. By combining booking analytics with promotional intelligence, the brand transitioned from blanket discounting to precision-targeted campaigns.

This comprehensive ecosystem empowered marketing and revenue teams to make fast, informed decisions backed by live marketplace insights.

Results & Key Metrics

  • 28% Reduction in Discount Leakage
    Improved control over overlapping promotions.
  • 22% Increase in High-Value Reservations
    Premium diners replaced discount-driven traffic.
  • 18% Improvement in Campaign ROI
    Optimized weekday promotional targeting.
  • Centralized Performance Dashboard
    Enabled strategic decisions through advanced Web Scraping Services analytics framework.

Overall, the brand strengthened profitability while maintaining its luxury positioning in a competitive dining marketplace.

Client Feedback

"Actowiz Solutions transformed our promotional strategy with accurate marketplace intelligence. Their District by Zomato Reservations and Offers Data Scraping solution helped us regain control over discount leakage and improve booking quality significantly."

— Revenue Director, Fine Dining Brand

Why Partner with Actowiz Solutions

  • Advanced Expertise
    Specialists in Zomato data extraction for hospitality intelligence.
  • Scalable Infrastructure
    Enterprise-grade systems for District by Zomato Reservations and Offers Data Scraping across locations.
  • Custom Analytics Dashboards
    Tailored KPIs aligned with revenue goals.
  • Compliance-Focused Execution
    Secure and ethical data delivery models.

Actowiz Solutions empowers brands with actionable insights that drive measurable revenue growth.

Conclusion

This case study demonstrates how structured intelligence can transform restaurant profitability. By integrating Web scraping API, curated Custom Datasets, and an advanced instant data scraper, Actowiz Solutions enabled smarter promotional decisions and sustainable growth.

If your hospitality brand seeks real-time reservation insights and optimized discount strategies, our data-driven frameworks can unlock measurable competitive advantages.

FAQs

1. What is District by Zomato Reservations and Offers Data Scraping?

It is a structured data extraction process that collects reservation slots, discount details, and promotional insights from Zomato listings for analytics and benchmarking.

2. How does data scraping reduce discount leakage?

By monitoring real-time competitor promotions and redemption patterns, brands can prevent over-discounting and align offers with demand trends.

3. Is this solution suitable for multi-location restaurant chains?

Yes. The framework centralizes booking and promotional data across outlets, ensuring consistent strategy and performance tracking.

4. Can this data support demand forecasting?

Absolutely. Historical reservation trends and discount patterns enable predictive analytics for peak-hour planning and campaign timing.

5. Why choose Actowiz Solutions?

Actowiz Solutions combines scalable scraping infrastructure, hospitality-focused analytics expertise, and customizable dashboards to deliver measurable business impact.

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:

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

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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