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Introduction

In the rapidly evolving UK quick-service restaurant (QSR) industry, staying competitive means adapting fast to consumer behavior, pricing trends, and promotional dynamics. For one growing UK-based QSR chain, traditional market research methods were proving too slow and insufficient to meet the demands of a highly digital consumer base. Actowiz Solutions stepped in with a powerful web-based solution centered around QSR menu optimization, leveraging insights derived from real-time data collected through food delivery app scraping. This case study reveals how our advanced web scraping services enabled the brand to make smarter menu decisions, boost sales, and align more closely with consumer expectations.

The Client

The client is a mid-sized, fast-growing QSR chain operating across multiple urban centers in the UK. Known for its fast service and fresh offerings, the brand had successfully expanded into the competitive food delivery market. However, as third-party apps became primary touchpoints for consumers, the company struggled to stay informed about competitor pricing, popular menu combinations, and fluctuating customer preferences. They sought actionable insights to inform decisions around pricing, promotions, and product visibility. With increasing pressure from digital-first competitors, they needed a scalable solution for QSR menu optimization—one that could deliver fast, accurate insights with minimal operational disruption.

Key Challenges

The-Client

The QSR chain was facing critical operational bottlenecks stemming from limited visibility into the broader food delivery landscape. Their marketing team had no reliable method to extract competitor data from platforms like Just Eat, Deliveroo, or Uber Eats. This lack of data made it difficult to adapt to local pricing variations, design compelling combo meals, or time their promotions effectively. While internal analytics offered some insights, they lacked a comprehensive external view. Traditional consultants failed to deliver timely or granular intelligence, leading to misaligned pricing and poor-performing menu items. The client also lacked internal capacity for menu price extraction, which was vital for benchmarking and promotional planning. Without web scraping restaurant insights, their dynamic pricing strategies were largely reactive. As quick commerce models evolved and competition stiffened, the need for accurate, real-time data became essential. Ultimately, they required a partner offering robust restaurant data scraping services to guide profitable menu adjustments and strategic decisions.

Key Solutions

The-Client

Actowiz Solutions designed a tailored data intelligence framework focused on QSR menu optimization. Using our advanced food delivery data intelligence services, we scraped structured and unstructured data from leading UK food delivery apps. Our system captured competitor menu listings, prices, delivery fees, time-based promotions, and customer reviews. This provided the client with a daily updated dashboard populated by comprehensive food app data analysis, enabling them to compare their menu with those of local and national competitors in real time.

We deployed quick commerce data scraping services to map competitor product availability across time slots, detecting patterns in meal popularity and regional demand. Using this data, the client fine-tuned their pricing with support from dynamic pricing strategies for QSR, boosting their conversion rates during peak hours.

Our team also extracted promotional insights across categories such as combo meals, free delivery offers, and loyalty incentives. By comparing their performance against high-performing promotional models, the QSR chain was able to reallocate budget towards offers that increased cart value.

As a result, the client could adjust prices dynamically, introduce new menu items tailored to customer demand, and retire underperforming dishes. Our restaurant data scraping services enabled agile and data-backed decision-making across departments, from marketing to operations. The impact was immediate: improved profitability, higher delivery app ratings, and stronger consumer engagement.

Client Testimonial

“Partnering with Actowiz Solutions transformed the way we manage our digital menu strategy. Their end-to-end support in extracting and analyzing food app data has helped us increase our delivery revenue significantly. The actionable insights derived from real-time data have been instrumental in refining our menu, adjusting pricing, and running high-performing campaigns.”

— Digital Strategy Head, UK QSR Chain

Conclusion

This case highlights how Actowiz Solutions empowered a UK-based restaurant brand with next-gen QSR menu optimization powered by real-time web intelligence. From refining pricing strategies to creating data-driven promotional campaigns, our solution proved essential in keeping the brand competitive in a fast-paced digital environment. With our expertise in food delivery data intelligence services and web scraping restaurant insights, QSR chains can make more informed, timely, and profitable decisions. Let Actowiz Solutions be your trusted partner in digital transformation.

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                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
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            [traits] => Array
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        )

    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [names] => Array
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                            [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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                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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    [country:protected] => GeoIp2\Record\Country Object
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                )

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            [validAttributes:protected] => Array
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        )

    [locales:protected] => Array
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    [maxmind:protected] => GeoIp2\Record\MaxMind Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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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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                        (
                            [de] => USA
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                            [ru] => США
                            [zh-CN] => 美国
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                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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        )

    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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                    [2] => isInEuropeanUnion
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                    [5] => type
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        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [ip_address] => 216.73.216.153
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                    [network] => 216.73.216.0/22
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            [validAttributes:protected] => Array
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                    [8] => isHostingProvider
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                    [13] => isSatelliteProvider
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        )

    [city:protected] => GeoIp2\Record\City Object
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            [validAttributes:protected] => Array
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    [postal:protected] => GeoIp2\Record\Postal Object
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            [validAttributes:protected] => Array
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                                    [pt-BR] => Ohio
                                    [ru] => Огайо
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                        )

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                    [validAttributes:protected] => Array
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)
 country : United States
 city : Columbus
US
Array
(
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    [asn] => AS16509
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)

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