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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] => 216.73.216.4 [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] => 216.73.216.4 [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 )
Track tour assortment and new experiences in real time to optimize offerings, understand demand trends, and deliver unforgettable customer journeys.
Note: You’ll receive it via email shortly after submitting the form.
The global travel and tourism industry is evolving rapidly, driven by travelers’ demand for unique, personalized, and experience-based offerings. Tour operators and travel aggregators must continuously expand and optimize their portfolios to stay relevant. This case study focuses on how Actowiz Solutions enabled Tour Assortment & New Experience Tracking by leveraging advanced data scraping techniques across seven major travel platforms.
The client sought real-time visibility into tour listings, newly launched experiences, availability, and regional variations. Manual tracking was inefficient and error-prone, limiting their ability to respond quickly to market trends. Actowiz Solutions delivered a scalable, automated data intelligence framework that unified multi-platform tour data into actionable insights. The outcome was enhanced assortment planning, faster identification of emerging experiences, and improved decision-making across product, marketing, and pricing teams.
The client is a fast-growing travel technology company operating in the experience-based tourism sector. Their platform aggregates tours, activities, and curated local experiences for travelers across North America, Europe, and Asia-Pacific. Serving both B2C and B2B customers, the company partners with tour operators, destination management companies, and online travel agencies.
Their primary goal is to offer a diverse, up-to-date portfolio of experiences that match evolving traveler preferences. To achieve this, the client relies heavily on Travel Experience Assortment Intelligence to understand market supply, competitor expansion, and emerging tour categories. Their target market includes millennial and Gen Z travelers seeking authentic, local, and niche experiences. As competition intensified, the client needed a data-driven approach to monitor tour assortments and identify new experiences across multiple platforms in real time.
Actowiz Solutions designed a centralized intelligence framework focused on Scraping tour data from multiple platforms simultaneously. Data pipelines were built to extract structured information such as tour names, categories, pricing, availability, duration, ratings, and launch dates. This enabled consistent, comparable datasets across platforms, eliminating data silos and manual reconciliation.
The second phase focused on continuous monitoring and analytics. Automated scheduling ensured frequent updates, while change-detection logic highlighted newly launched experiences and assortment shifts. Dashboards and reports were customized to align with the client’s product and strategy teams, enabling faster insights and proactive decision-making.
One major challenge was platform variability—each travel platform used different page structures, dynamic loading, and anti-bot measures. Actowiz implemented adaptive scraping logic and proxy rotation to maintain data continuity.
Another issue involved identifying truly “new” experiences versus updated listings. By leveraging Track new tour experiences using web scraping, timestamp comparisons and listing history analysis were used to flag genuine launches accurately.
The third challenge was data normalization across regions and languages. Actowiz applied advanced parsing, translation mapping, and taxonomy alignment to ensure consistent categorization and reliable analytics across global destinations.
Actowiz Solutions delivered an end-to-end data intelligence solution focused on Tour assortment analysis. The system aggregated tour data from seven platforms into a unified repository, enabling real-time visibility into assortment depth, category distribution, and experience diversity. Advanced analytics highlighted underrepresented categories, emerging experience trends, and high-growth destinations.
Custom dashboards allowed stakeholders to track new launches, monitor competitor expansion, and evaluate regional performance. The solution was scalable, compliant, and seamlessly integrated with the client’s internal analytics tools, empowering teams with accurate, timely, and actionable insights.
The client gained a clear, data-driven view of market dynamics, enabling smarter expansion and stronger partnerships with tour operators.
“Actowiz Solutions transformed how we understand and manage our tour portfolio. Their expertise in Experience-based tourism data, Tour Assortment & New Experience Tracking gave us real-time visibility we never had before. We can now identify new experiences faster and respond to market trends with confidence.”
— Head of Product Strategy, Travel Tech Company
Actowiz Solutions combines technical excellence with domain expertise to deliver actionable insights for travel businesses.
This case study demonstrates how Actowiz Solutions empowered a travel technology company through advanced Tours and Travel Data Scraping. By automating multi-platform data collection and analysis, the client achieved faster insights, improved assortment planning, and sustainable competitive advantage.
Partner with Actowiz Solutions today to unlock smarter, data-driven growth in the travel and tourism industry.
Actowiz uses a combination of automated crawlers, intelligent parsers, and a robust Web scraping API to extract structured tour data from diverse platforms while ensuring accuracy and compliance.
Yes, the system is designed to detect changes and new listings through continuous monitoring, enabling near real-time identification of new tour experiences.
Absolutely. Actowiz delivers Custom Datasets tailored to specific destinations, tour categories, pricing models, and performance metrics.
The infrastructure is built to scale across regions, platforms, and millions of records, supporting both short-term campaigns and long-term intelligence needs.
With automation and an instant data scraper, clients receive timely, ready-to-use datasets that integrate seamlessly into their analytics and decision-making workflows.
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%
Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place
Scraping Apparel Pricing & Discount Data helps brands track real-time prices, discounts, and offers across Ajio, Myntra, Nykaa Fashion, Flipkart, and TataCliq
Scraping for Daily Pricing Integrity to ensure consistent brand pricing across Zepto and Instamart in every Delhi-NCR pincode with real-time accuracy.
Scraping USA Electronics Retailer Data - How Automated Repricing from Amazon and BestBuy Increased Sales Performance boosted conversions by 18% in three months.
Unlock consumer insights in SE Asia. Actowiz Solutions provides automated sentiment analysis scraping across Shopee, Lazada, and TikTok for retail market research.
Predict stock market trends with real-time sentiment analysis. Actowiz Solutions scrapes Reddit, X, & News for actionable trading signals in Dubai & Global.
Real-time grocery price changes across Walmart, Instacart and Target. Track top SKU drops, increases and hourly volatility with Actowiz Solutions.
Enhance deep learning performance with large-scale image scraping. Build diverse, high-quality training datasets to improve AI accuracy, object detection, and model generalization.
Uncover how data-driven strategies optimize dark store locations, boosting quick commerce efficiency, reducing costs, and improving delivery speed.
Analyze the MRP vs Selling Price Gap on Flipkart Minutes to uncover instant-commerce discounts, margin gaps, and real-time pricing behavior across categories.
Tracking New Supplier & Price Wars from IndiaMART – India to track emerging vendors, compare live prices, detect undercutting, and stay competitive.
Malaysia GrabFoods market analysis delivers insights into pricing trends, restaurant availability, demand patterns, and competitive dynamics
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