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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] => 216.73.216.141 [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] => 216.73.216.141 [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 )
A case study on dynamic pricing analysis of hotels in India using web scraping from Booking.com, Agoda, and MakeMyTrip for market insights and pricing strategy.
Note: You’ll receive it via email shortly after submitting the form.
Actowiz Solutions executed a comprehensive Dynamic Pricing Analysis of Hotels in India to help hospitality and travel businesses understand price trends, optimize revenue, and improve competitive positioning. The Indian hotel market is highly dynamic, with rates fluctuating daily based on demand, location, and seasonal factors. Leveraging a robust Web Scraping API, Actowiz automated the collection of hotel pricing data from top platforms including Booking.com, Agoda, and MakeMyTrip. The solution included Hotel Dynamic Pricing Scraping India, capturing accurate, real-time information on room rates, discounts, and promotions across thousands of listings. By converting raw data into structured and actionable insights, clients could track competitive pricing, identify seasonal patterns, and monitor market fluctuations efficiently. This initiative provided the foundation for Dynamic Pricing Analysis of Hotels in India, empowering decision-makers with reliable analytics and data-driven strategies to enhance profitability and optimize revenue management in the fast-evolving Indian hospitality sector.
The client, a leading hotel analytics and revenue management firm based in India, wanted a scalable solution to monitor rates across multiple platforms in real time. They needed to Extract Booking.com Hotels Data, Scraping Agoda Hotels Data, and Scrape MakeMyTrip Hotels Data to track pricing trends, occupancy rates, and seasonal fluctuations. Their primary goal was to gain actionable insights from Booking.com vs Agoda vs MakeMyTrip Price Comparison to optimize hotel pricing and boost revenue management strategies. The client also required Dynamic pricing insights for Booking.com and Agoda and detailed Hotel rate fluctuation analysis from MakeMyTrip to benchmark performance and analyze competitor behavior. By integrating these capabilities into a single, consolidated data pipeline, the client sought to perform predictive analytics, adjust dynamic pricing, and respond to market changes proactively. The outcome would allow better forecasting, smarter strategic planning, and improved decision-making across India’s competitive hotel sector while leveraging real-time data.
The Indian hotel market presents significant data challenges due to constant fluctuations in rates and promotions across platforms. Capturing accurate data from Booking.com, Agoda, and MakeMyTrip required overcoming differences in formats, missing attributes, and inconsistent updates. The client also needed to handle large-scale Hotel Dynamic Pricing Scraping India while ensuring data reliability and timeliness. Monitoring both pre-booked and last-minute room rates introduced additional complexity in distinguishing temporary promotions from permanent pricing trends. Performing JustProperty Data Extractor-style extraction across platforms without duplication and ensuring historical data continuity for trend analysis was critical. Additionally, the client sought to generate actionable insights for Dynamic Pricing Analysis of Hotels in India without overwhelming their analytics systems. Aligning multiple datasets for Booking.com vs Agoda vs MakeMyTrip Price Comparison, and tracking competitor rates and promotions, demanded robust automation and error handling. Another challenge was integrating Dynamic pricing insights for Booking.com and Agoda with operational dashboards to allow real-time decision-making. Ensuring data integrity while scaling the scraping process across thousands of hotels nationwide required sophisticated monitoring, data validation, and automation frameworks.
Actowiz Solutions implemented a fully automated system for Dynamic Pricing Analysis of Hotels in India, combining advanced web scraping technologies and intelligent data processing. Using the Hotel Dynamic Pricing Scraping India framework, the solution collected real-time pricing, discount, and availability data from Booking.com, Agoda, and MakeMyTrip. The platform leveraged Extract hotel pricing data from Booking.com, Scraping Agoda Hotels Data, and Scrape MakeMyTrip Hotels Data to ensure comprehensive coverage across all major hotel listings. Advanced data normalization and validation algorithms eliminated inconsistencies and duplicates, while historical trend storage enabled temporal analysis of pricing patterns. Our solution delivered insights for Dynamic Pricing Analysis of Hotels in India, including seasonal trends, room-type pricing, promotions, and competitor benchmarking. Real-time dashboards allowed the client to monitor Hotel rate fluctuation analysis from MakeMyTrip and extract actionable Dynamic pricing insights for Booking.com and Agoda. By combining multi-platform extraction with predictive modeling, clients could forecast price trends, optimize dynamic pricing strategies, and maintain competitive advantage. The result was a unified, high-quality dataset that transformed complex raw data into meaningful insights, empowering hotels and travel agencies to respond rapidly to market changes and maximize revenue.
"Actowiz Solutions has completely transformed how we monitor hotel pricing across India. Their expertise in Dynamic Pricing Analysis of Hotels in India and multi-platform scraping from Booking.com, Agoda, and MakeMyTrip provided us with reliable, actionable data. We can now track competitor rates, adjust pricing in real time, and forecast trends with confidence. The automation, accuracy, and timely delivery exceeded our expectations. The insights gained from Hotel Dynamic Pricing Scraping India and Dynamic pricing insights for Booking.com and Agoda have given our revenue management team a competitive edge in a highly dynamic market."
— Revenue Manager, Leading Indian Hotel Analytics Firm
Through this project, Actowiz Solutions successfully demonstrated the value of Dynamic Pricing Analysis of Hotels in India by delivering accurate, real-time insights across Booking.com, Agoda, and MakeMyTrip. The integration of Hotel Dynamic Pricing Scraping India, Travel Data Scraping, and multi-platform extraction empowered the client to monitor price fluctuations, benchmark competitors, and optimize revenue strategies. With structured datasets, historical trends, and predictive analytics, hotels and travel firms could adjust dynamic pricing in response to market demand and seasonal variations. The solution provided comprehensive Dynamic pricing insights for Booking.com and Agoda and enabled detailed Hotel rate fluctuation analysis from MakeMyTrip. By combining automation, accuracy, and real-time data, Actowiz Solutions equipped clients with actionable intelligence, enhancing profitability, operational efficiency, and strategic decision-making in India’s highly competitive hospitality industry. The project highlights how targeted data scraping and analytics transform raw hotel pricing data into meaningful business insights.
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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Benefit from the ease of collaboration with Actowiz Solutions, as our team is aligned with your preferred time zone, ensuring smooth communication and timely delivery.
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