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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] => 216.73.216.152 [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] => 216.73.216.152 [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 )
Menu Price Comparison for Swiggy and Zomato: Real-time menu data extraction helps retailers track prices, optimize menus, and gain actionable insights.
Note: You’ll receive it via email shortly after submitting the form.
In the fast-paced food delivery market, accurate and timely pricing intelligence is essential for retailers and restaurants. Actowiz Solutions enabled businesses to leverage AI for Dynamic Menu Price Monitoring, providing actionable insights into fluctuating food prices across leading platforms. By implementing Menu Price Comparison for Swiggy and Zomato, companies gained visibility into competitor pricing, promotional offers, and menu adjustments. This approach allowed operators to make informed decisions about menu pricing, optimize revenue, and enhance customer satisfaction. Using advanced tools for Extracting Menu Prices Data from Swiggy & Zomato and Swiggy and Zomato menu price comparison, businesses could automate data collection at scale. The integration of Swiggy vs Zomato menu price analytics enabled dynamic analysis of trends and patterns, giving retailers a competitive edge. Ultimately, Actowiz Solutions helped clients convert raw data into strategic intelligence, ensuring efficient menu management and data-driven pricing strategies.
The client is a leading multi-city restaurant chain with a strong presence on online delivery platforms. They faced challenges in keeping track of dynamic menu pricing across Swiggy and Zomato to remain competitive. With thousands of menu items across multiple locations, manual tracking was labor-intensive and prone to errors. They aimed to leverage Menu Price Comparison for Swiggy and Zomato to monitor pricing trends, identify competitor strategies, and adjust their own menu prices accordingly. By partnering with Actowiz Solutions, the client sought to Extract Swiggy Food Delivery Data in real-time, enabling automated tracking of price fluctuations, discounts, and special offers. They required a scalable solution that could provide actionable insights daily, integrate with internal dashboards, and support strategic pricing decisions. The ultimate objective was to enhance profitability, improve market positioning, and deliver competitive offerings without compromising margins or operational efficiency.
The client faced several challenges in managing menu pricing effectively. The dynamic nature of Swiggy and Zomato pricing, influenced by promotions, delivery fees, and competitor adjustments, made manual tracking impractical. The client needed a solution for Data Scraping for Restaurant Menu Price Benchmarking to collect accurate, real-time data across thousands of SKUs. Additionally, they required Swiggy and Zomato price data extraction for historical and trend analysis to make informed strategic decisions. Monitoring competitor pricing and discounts across multiple locations presented another layer of complexity. The client also needed to Track Swiggy and Zomato menu prices daily to stay ahead of fluctuations and avoid revenue loss. Integrating the extracted data into internal systems while maintaining consistency and accuracy posed technical challenges. Further, analyzing promotional campaigns, seasonal pricing trends, and competitor strategies demanded sophisticated tools for Real-time price comparison for Swiggy and Zomato. Without automation, the client faced delays, inconsistencies, and missed opportunities for optimizing menu prices and maximizing profitability, highlighting the need for a comprehensive and scalable solution.
Actowiz Solutions implemented a robust, end-to-end approach to address the client’s challenges. First, the team utilized advanced methods for Swiggy Scraping API, enabling the client to access real-time pricing, discounts, and menu changes efficiently. For Zomato, the team implemented Zomato and Swiggy Review Scraping, capturing both price data and customer feedback to enhance insights into menu performance and market trends. By automating Data extraction for Swiggy & Zomato restaurant menu price, Actowiz enabled the client to maintain updated records across thousands of menu items daily. The solution integrated Price Monitoring Services, providing dashboards that visualized competitor pricing, highlighted promotional campaigns, and tracked price elasticity. Additionally, Actowiz developed scalable pipelines for Scraping Zomato Food Delivery Data, ensuring continuous, accurate updates for dynamic analysis. This comprehensive solution allowed the client to perform Swiggy and Zomato menu price comparison and analyze trends over time, identifying optimal pricing strategies and competitive gaps. By combining automation, real-time monitoring, and analytics, the client achieved Menu Price Comparison for Swiggy and Zomato at scale, optimizing menu pricing, improving profitability, and gaining a competitive edge in the online food delivery market.
“Actowiz Solutions transformed the way we manage pricing across Swiggy and Zomato. The Menu Price Comparison for Swiggy and Zomato tools provided real-time insights that were previously impossible to obtain manually. We can now track competitor prices, discounts, and promotions daily, enabling smarter pricing decisions and better revenue optimization. Automation and data accuracy have significantly reduced our operational workload, allowing our team to focus on strategy and growth. Actowiz’s expertise and seamless integration into our workflow have been instrumental in maintaining a competitive edge in the dynamic food delivery market.”
— Head of Pricing Strategy
Partnering with Actowiz Solutions enabled the client to successfully implement Menu Price Comparison for Swiggy and Zomato, providing real-time visibility into competitor pricing, promotions, and menu strategies. With automated Extracting Menu Prices Data from Swiggy & Zomato, Real-time price comparison for Swiggy and Zomato, and Price Monitoring Services, the client could make informed, data-driven pricing decisions. Integration of Swiggy Scraping API, Zomato and Swiggy Review Scraping, and Scraping Zomato Food Delivery Data ensured continuous, scalable, and accurate data extraction. The solution allowed the client to optimize menu pricing, improve profitability, and maintain a competitive position in the fast-changing online food delivery market. Overall, Actowiz Solutions empowered the client to leverage Menu Price Comparison for Swiggy and Zomato at scale, turning complex datasets into actionable insights and ensuring efficient, dynamic pricing strategies that drive growth and customer satisfaction.
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
Real Estate
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×
Organic Grocery / FMCG
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
Quick Commerce
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
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
Beverage / D2C
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
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
Real results from real businesses using Actowiz Solutions
In Stock₹524
Price Drop + 12 minin 6 hrs across Lel.6
Price Drop −12 thr
Improved inventoryvisibility & planning
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
"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"
✔ Scraped Data, SKU availability, delivery time
With hourly price monitoring, we aligned promotions with competitors, drove 17%
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Our team focuses on clear, transparent communication to ensure that every project is aligned with your goals and that you’re always informed of progress.
Actowiz Solutions adheres to the highest global standards of development, delivering exceptional solutions that consistently exceed industry expectations