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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
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                            [es] => Norteamérica
                            [fr] => Amérique du Nord
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                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

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            [location] => Array
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                    [longitude] => -83.0061
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            [postal] => Array
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                    [code] => 43215
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            [registered_country] => Array
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                    [iso_code] => US
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                            [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
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                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                )

            [traits] => Array
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                    [ip_address] => 216.73.216.110
                    [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
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            [validAttributes:protected] => Array
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                    [0] => code
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        )

    [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
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            [validAttributes:protected] => Array
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                    [0] => confidence
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                    [3] => isoCode
                    [4] => names
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        )

    [locales:protected] => Array
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            [0] => en
        )

    [maxmind:protected] => GeoIp2\Record\MaxMind Object
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            [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
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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
                    [3] => isoCode
                    [4] => names
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        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.110
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
                )

            [validAttributes:protected] => Array
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                    [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
)

Introduction

In the evolving UK food delivery market, understanding pricing trends across major platforms is essential for businesses seeking a competitive edge. Using Food Delivery Data Scraping, Actowiz Solutions conducted an in-depth analysis of Deliveroo, Just Eat, and Uber Eats from 2020 to 2025. By leveraging UK Food Aggregator Pricing Scraping, this report identifies price variations, seasonal trends, and consumer behavior insights that enable data-driven pricing strategies.

Deliveroo, Just Eat, and Uber Eats dominate the UK food delivery ecosystem, making it vital to monitor menu pricing and promotional activities. With Deliveroo Menu & Price Scraping UK, Just Eat Pricing & Offer Data Extraction, and Uber Eats Menu & Price Monitoring UK, Actowiz Solutions provides actionable intelligence. The comparative study using Deliveroo vs Just Eat vs Uber Eats Price Comparison UK highlights pricing gaps, promotional strategies, and product variations. Additionally, the ability to Scrape Deliveroo, Just Eat, and Uber Eats menu prices in UK ensures businesses can optimize offerings for maximum ROI. Utilizing Food Aggregator Pricing Data Scraping in UK, all data collected is structured, reliable, and analytics-ready, providing a clear understanding of the competitive landscape.

Deliveroo Menu & Price Trends

Over 2020–2025, Deliveroo Menu & Price Scraping UK reveals significant fluctuations in menu prices, driven by inflation, demand peaks, and competitive promotions. Data indicates an average price increase of 6% across major cities, with London experiencing the highest volatility.

Year Avg Menu Price (£) Discount Offers (%) Active Restaurants
2020 12.50 8 2,500
2021 12.90 10 2,800
2022 13.20 12 3,100
2023 13.70 11 3,450
2024 14.10 9 3,700
2025 14.60 10 4,000

The use of Scraping Deliveroo Food Delivery Data shows a correlation between promotional activity and order volume. Top-performing menu items consistently leverage price discounts and bundle offers, contributing to higher engagement. Actowiz's UK Food Aggregator Pricing Scraping ensures real-time monitoring, allowing businesses to react promptly to competitor strategies. Seasonal trends, particularly around holidays, significantly impact menu prices and discount frequency.

By leveraging this data, restaurants can optimize pricing dynamically, align offers with competitor activity, and enhance market share. Analytics-driven insights from Deliveroo Menu & Price Scraping UK help stakeholders plan menu modifications, predict pricing trends, and maintain competitiveness in the ever-evolving food delivery market.

Just Eat Pricing & Offer Trends

Just Eat Pricing & Offer Data Extraction shows average menu prices rising steadily from £11.80 in 2020 to £14.00 in 2025. Seasonal promotions and limited-time offers impact consumer ordering behavior, especially in high-demand regions.

Year Avg Menu Price (£) Promotions (%) Active Restaurants
2020 11.80 7 3,000
2021 12.20 9 3,200
2022 12.70 10 3,450
2023 13.10 12 3,700
2024 13.50 11 3,950
2025 14.00 10 4,200

Actowiz Solutions applies Food Delivery Data Intelligence to evaluate competitor pricing, identifying patterns where high-volume restaurants offer frequent bundle deals to attract orders. Using UK Food Aggregator Pricing Scraping, analysts can observe trends such as peak pricing during weekends and reduced prices on low-demand weekdays. Insights from Just Eat Pricing & Offer Data Extraction enable businesses to adjust promotions dynamically and optimize customer engagement strategies.

Uber Eats Menu & Price Monitoring

Uber Eats Menu & Price Monitoring UK reveals an average menu price increase of 5.8% between 2020–2025. Pricing fluctuations correlate strongly with regional demand and delivery availability.

Year Avg Menu Price (£) Discount (%) Active Restaurants
2020 12.00 6 2,700
2021 12.40 7 3,000
2022 12.80 9 3,250
2023 13.20 10 3,500
2024 13.60 11 3,800
2025 14.10 10 4,050

Analytics from Web Scraping Services combined with UK Food Aggregator Pricing Scraping allow identification of pricing gaps and competitor offers. Using Uber Eats Menu & Price Monitoring UK, businesses can strategize dynamic pricing and monitor promotional effectiveness. Real-time insights enable data-driven decision-making for menu optimization and customer retention.

Deliveroo vs Just Eat vs Uber Eats Price Comparison

Comparative analysis using Deliveroo vs Just Eat vs Uber Eats Price Comparison UK highlights the competitive landscape. Deliveroo maintains higher average pricing but offers frequent promotions. Just Eat emphasizes bundle deals, while Uber Eats shows regionally variable prices.

Platform Avg Menu Price (£) Avg Discount (%) Active Restaurants
Deliveroo 14.60 10 4,000
Just Eat 14.00 10 4,200
Uber Eats 14.10 10 4,050

Scraping Deliveroo Food Delivery Data allows benchmarking pricing strategies and identifying top-performing menu items. Insights from UK Food Aggregator Pricing Scraping help optimize promotions, predict consumer behavior, and guide inventory decisions.

Scrape Just Eat, Deliveroo, and Uber Eats Menu Prices

Using Scrape Deliveroo, Just Eat, and Uber Eats menu prices in UK, analysts can track price trends across regions and cuisines. Seasonal data from 2020–2025 show peak order volumes during holidays, affecting pricing dynamics.

Year Avg Price (£) Promotions (%) Orders (millions)
2020 12.80 8 45
2021 13.20 9 48
2022 13.60 10 50
2023 14.00 11 52
2024 14.20 10 55
2025 14.60 10 58

Extract Just Eat Food Delivery Data helps optimize discount strategies and enhance revenue. Combined with UK Food Aggregator Pricing Scraping, businesses gain actionable insights into market positioning.

Food Aggregator Pricing Insights & Analytics

Using Food Aggregator Pricing Data Scraping in UK, Actowiz Solutions evaluates pricing, promotions, and menu adjustments across all three platforms. Web Scraping Uber Eats Data enables detection of price shifts and promotional trends in real-time. Structured analytics help predict consumer demand and optimize restaurant pricing strategies.

Platform Avg Discount (%) Popular Menu Items Price Volatility Index
Deliveroo 10 25 1.15
Just Eat 10 30 1.10
Uber Eats 10 28 1.12

Insights from UK Food Aggregator Pricing Scraping provide stakeholders with a holistic view of competitive pricing, consumer preferences, and menu optimization opportunities, allowing businesses to maintain market leadership.

Actowiz Solutions enables businesses to harness UK Food Aggregator Pricing Scraping for actionable insights. By combining Deliveroo Menu & Price Scraping UK, Just Eat Pricing & Offer Data Extraction, and Uber Eats Menu & Price Monitoring UK, organizations can optimize pricing, promotions, and menu offerings. Automated monitoring reduces manual effort, ensures timely updates, and supports dynamic pricing strategies. Leveraging our expertise, businesses can integrate scraped data with BI tools, dashboards, and reporting systems to support decision-making. This comprehensive approach ensures stakeholders have real-time, structured, and analytics-ready data, enabling smarter market strategies and competitive advantage.

Conclusion

The UK food delivery market is highly competitive, with Deliveroo, Just Eat, and Uber Eats continuously adjusting prices and promotions. UK Food Aggregator Pricing Scraping provides critical insights into menu pricing trends, discount patterns, and consumer behavior from 2020–2025. By analyzing Deliveroo vs Just Eat vs Uber Eats Price Comparison UK, businesses can optimize pricing strategies, improve promotional planning, and enhance operational efficiency. With Actowiz Solutions, organizations can leverage structured data from Scrape Deliveroo, Just Eat, and Uber Eats menu prices in UK to make data-driven decisions. Utilizing our Food Aggregator Pricing Data Scraping in UK services ensures real-time monitoring, competitive intelligence, and actionable insights that empower stakeholders to maintain market leadership. Contact Actowiz Solutions today to implement comprehensive UK Food Aggregator Pricing Scraping strategies and unlock the full potential of food delivery 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:

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

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