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GeoIp2\Model\City Object
(
    [raw:protected] => Array
        (
            [city] => Array
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                    [geoname_id] => 4509177
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                            [ja] => コロンバス
                            [pt-BR] => Columbus
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                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
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                            [es] => Norteamérica
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                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
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    [registeredCountry:protected] => GeoIp2\Record\Country Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [iso_code] => US
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                            [en] => United States
                            [es] => Estados Unidos
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    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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    [location:protected] => GeoIp2\Record\Location Object
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                    [latitude] => 39.9625
                    [longitude] => -83.0061
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            [validAttributes:protected] => Array
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                    [1] => accuracyRadius
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                    [7] => postalConfidence
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    [postal:protected] => GeoIp2\Record\Postal Object
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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
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
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                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
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)
 country : United States
 city : Columbus
US
Array
(
    [as_domain] => amazon.com
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    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)
Navratri Mega Sale Price Tracking

Introduction

In the digital-first hospitality landscape, customer perception is shaped long before a guest walks through the door. Online reviews on platforms like Google and TripAdvisor now influence booking decisions, brand loyalty, and competitive positioning. This case study explains how Actowiz Solutions delivered Competitor Sentiment Benchmarking for Hotels & F&B Brands by transforming unstructured reviews and ratings into structured, actionable intelligence. By analyzing sentiment trends, rating patterns, and experience drivers across competitors, hospitality brands gained a clear view of where they stood in the market. The solution empowered hotels and food & beverage businesses to move beyond intuition and base decisions on real customer voices. With real-time visibility into competitor performance, the client was able to refine service strategies, improve guest satisfaction, and strengthen brand differentiation in a highly competitive market.

About the Client

Navratri Mega Sale Price Tracking

The client is a multi-brand hospitality group operating hotels, quick-service restaurants, and premium dining outlets across major urban and tourist destinations. Their target market spans business travelers, leisure tourists, and local dining customers who heavily rely on online reviews when choosing where to stay or eat. With growing competition and review-driven discovery, the client needed a scalable way to understand customer sentiment across both their own properties and competitor brands.

Before partnering with Actowiz Solutions, the client manually reviewed feedback on multiple platforms, which was time-consuming and inconsistent. They lacked a unified view of guest sentiment across locations and competitors. By implementing a solution to Extract Google and TripAdvisor Reviews & Ratings, the client aimed to centralize insights, benchmark performance, and identify actionable gaps in service quality, food experience, and overall guest satisfaction.

Challenges & Objectives

Challenges
  • Data Fragmentation: Reviews were spread across multiple platforms with no unified structure, making holistic analysis difficult.
  • Volume & Velocity: Thousands of new reviews were posted monthly, overwhelming manual analysis efforts.
  • Subjectivity: Qualitative feedback lacked standardized sentiment scoring, leading to biased interpretations.
  • Competitive Blind Spots: Limited visibility into why competitors consistently ranked higher.
Objectives
  • Build a scalable pipeline for TripAdvisor Reviews & Ratings Data Extraction across hotels and F&B brands.
  • Enable sentiment classification by service, food quality, pricing, cleanliness, and staff behavior.
  • Benchmark ratings and sentiment trends against key competitors.
  • Deliver near real-time insights to support operational and marketing decisions.

Our Strategic Approach

Centralized Review Intelligence Framework

Actowiz Solutions designed a centralized data intelligence framework to aggregate reviews from Google and TripAdvisor into a single analytical environment. Using automated crawlers and normalization logic, reviews were standardized across formats, languages, and rating scales. This allowed consistent benchmarking across hotels and restaurants while maintaining historical continuity.

Competitive Sentiment Benchmarking

The second phase focused on competitive comparison. By leveraging Extract ratings & reviews for F&B Market, sentiment scores were mapped against competitors by location, brand tier, and category. Dashboards highlighted strengths, weaknesses, and experience gaps, enabling the client to prioritize improvements that directly impacted ratings and guest perception.

Technical Roadblocks

Dynamic Content & Anti-Scraping Measures

Google and TripAdvisor frequently update page structures and deploy bot-detection mechanisms. Actowiz Solutions implemented adaptive crawling, rotation logic, and behavioral emulation to reliably Scrape Google review Data for Hotels and F&B without disruption.

Multilingual & Unstructured Text

Reviews appeared in multiple languages with slang and emojis. Advanced NLP preprocessing was applied to normalize text before sentiment scoring.

Data Accuracy & Deduplication

Duplicate reviews and syndicated content posed accuracy risks. De-duplication and validation layers ensured only unique, high-quality data entered the analytics pipeline.

Our Solutions

Actowiz Solutions delivered a comprehensive analytics platform built around Customer Ratings & Reviews Analytics. The solution combined automated data extraction, NLP-based sentiment classification, and competitor benchmarking dashboards. Reviews were categorized by experience themes such as food taste, service speed, cleanliness, ambiance, and value for money. Stakeholders received visual insights and alerts highlighting sudden drops in sentiment or rating gaps versus competitors. This enabled faster response to negative feedback and proactive service improvements.

Results & Key Metrics

Key Outcomes
  • 90% reduction in manual review analysis time
  • Benchmarking across 50+ competitor brands
  • Improved sentiment visibility across 10,000+ reviews per month
  • Faster issue resolution driven by real-time alerts
Business Impact

With Customer Review Sentiment Analysis, the client improved average ratings across multiple locations within months. Marketing teams refined messaging based on positive sentiment drivers, while operations teams addressed recurring complaints. Competitive gaps were clearly identified, enabling targeted improvements that directly influenced guest satisfaction and brand perception.

Client Feedback

“Actowiz Solutions gave us a clear competitive lens into how guests perceive our hotels and restaurants versus others. Their sentiment benchmarking transformed online reviews into strategic insights we could act on immediately.”

— Head of Customer Experience, Hospitality Group

Why Partner with Actowiz Solutions?

  • Proven expertise in Competitor Sentiment Benchmarking for Hotels & F&B Brands
  • Scalable, enterprise-grade data extraction and analytics
  • Advanced NLP and sentiment modeling
  • Custom dashboards tailored to hospitality use cases
  • Dedicated support and continuous optimization

Conclusion

This case study demonstrates how data-driven sentiment intelligence can redefine competitive strategy in hospitality. By leveraging Actowiz Solutions’ Web scraping API, Custom Datasets, and instant data scraper, the client gained real-time visibility into guest perception and competitor performance. The result was stronger decision-making, improved guest experiences, and sustained competitive advantage.

FAQs

1. Which platforms were covered in this analysis?

Google Reviews and TripAdvisor were the primary sources.

2. Can the solution scale to more locations?

Yes, the architecture is designed to scale globally.

3. How often is the data refreshed?

Data can be refreshed daily or in near real time.

4. Is sentiment analysis customizable?

Yes, sentiment categories and scoring can be tailored.

5. Who benefits most from this solution?

Hotels, restaurants, chains, and hospitality analytics

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

Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place

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