Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
Actowiz Metrics Now Live!
logo
Unlock Smarter , Faster Analytics!
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] => 216.73.216.24
                    [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] => 216.73.216.24
                    [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
)
How to Maximize ROI with Customizable E-commerce Dashboards

Introduction

The UAE’s food delivery industry continues to surge, with the market projected to surpass $2.4 billion by the end of 2025, driven by rising urban populations, tech-savvy consumers, and the dominance of food apps. Platforms like Talabat and Zomato have become essential not just for ordering food, but for influencing where and what people eat. With nearly 70% of UAE consumers using at least one food delivery app weekly, visibility and competitive pricing have never been more critical.

In this fast-paced landscape, understanding delivery charges, menu pricing, and platform-specific promotions is crucial for staying ahead. A small price variation or timely promo can shift customer preference instantly. This is where food delivery app scraping proves invaluable. Through advanced Zomato data scraping and Talabat data extraction, brands can access structured insights to make informed decisions around pricing strategies, offer timing, and menu visibility.

For restaurants, QSR chains, and cloud kitchens in the UAE, leveraging real-time data from these platforms is no longer optional—it’s a competitive necessity. With Actowiz Solutions, businesses gain the tools to harness this data effectively, ensuring their offerings are always optimized for relevance, reach, and revenue.

Why Delivery Charges, Menu Pricing & Promotions Matter?

What-is-RERA-Data-Extraction-

In the fast-growing UAE food delivery ecosystem, success hinges on real-time responsiveness to changing consumer expectations and competitive offerings. Cities like Dubai, Abu Dhabi, and Sharjah are home to a digitally savvy customer base that prioritizes convenience but remains highly sensitive to delivery costs and food pricing. Restaurants that fail to adapt their pricing or promotional strategies risk losing significant visibility and market share on leading apps like Talabat and Zomato.

Using restaurant data scraping services, brands can uncover trends in delivery fee tracking, competitor pricing, and promotions that directly affect order volumes. Let’s look at how these elements influence consumer behavior:

Delivery Fee Sensitivity in the UAE
Year Avg. Delivery Fee (AED) % of Users Who Abandon Cart Due to Fees
2020 7.5 39%
2021 8.0 42%
2022 8.4 45%
2023 8.9 48%
2024 9.2 51%
2025 9.4 (proj.) 54% (proj.)

With over 50% of consumers abandoning carts due to high delivery charges in 2025, accurate delivery fee tracking across platforms is vital. Businesses need to benchmark their delivery pricing against competitors to ensure their offers remain attractive without compromising profit margins.

Menu Price Positioning and Visibility

Restaurants with optimized price points are more likely to be featured on promotional banners and search results. Small changes in pricing can influence app algorithms. Through automated menu scraping services, brands can extract prices, portion sizes, and food categories of rival listings in real time.

Year Avg. Meal Price on Talabat (AED) Avg. Meal Price on Zomato (AED)
2020 28.4 30.1
2021 29.2 31.0
2022 30.8 32.5
2023 31.5 33.2
2024 32.9 34.0
2025 34.1 (proj.) 35.3 (proj.)

The upward pricing trend makes food delivery competitor monitoring essential. Restaurants need to know when to adjust prices and by how much—without losing customer loyalty or algorithmic favor.

Promotions Drive Volumes

Talabat’s “Free Delivery Friday” or Zomato’s “Combo Meals at AED 20” are not just eye-catching—they’re strategic. These offers often result in 20–35% increases in order volumes for featured restaurants.

Promo Type Avg. Order Volume Uplift
Free Delivery (Talabat) +33%
Flat Discount (Zomato) +27%
Combo Meals +31%
Time-limited Deals +22%

The need for accurate promotional insights cannot be overstated. By leveraging restaurant data scraping services, restaurants gain access to campaign patterns—what works, when, and on which platform.

Pricing, delivery fees, and promotions are not static—they’re dynamic levers that restaurants must constantly calibrate to remain relevant. Actowiz Solutions enables this with tailored food delivery competitor monitoring, menu scraping services, and delivery fee tracking, giving UAE food businesses a decisive edge in one of the most competitive delivery landscapes globally.

Unlock growth by tracking delivery fees, pricing trends, and promotions with precision—boost visibility and orders with Actowiz’s data-driven food delivery insights.
Get started today!

Key Data Points Extracted from Talabat & Zomato

In the fast-growing UAE food delivery ecosystem, success hinges on real-time responsiveness to changing consumer expectations and competitive offerings. Cities like Dubai, Abu Dhabi, and Sharjah are home to a digitally savvy customer base that prioritizes convenience but remains highly sensitive to delivery costs and food pricing. Restaurants that fail to adapt their pricing or promotional strategies risk losing significant visibility and market share on leading apps like Talabat and Zomato.

Using restaurant data scraping services, brands can uncover trends in delivery fee tracking, competitor pricing, and promotions that directly affect order volumes. Let’s look at how these elements influence consumer behavior:

Delivery Fee Sensitivity in the UAE
Year Avg. Delivery Fee (AED) % of Users Who Abandon Cart Due to Fees
2020 7.5 39%
2021 8.0 42%
2022 8.4 45%
2023 8.9 48%
2024 9.2 51%
2025 9.4 (proj.) 54% (proj.)

With over 50% of consumers abandoning carts due to high delivery charges in 2025, accurate delivery fee tracking across platforms is vital. Businesses need to benchmark their delivery pricing against competitors to ensure their offers remain attractive without compromising profit margins.

Menu Price Positioning and Visibility

Restaurants with optimized price points are more likely to be featured on promotional banners and search results. Small changes in pricing can influence app algorithms. Through automated menu scraping services, brands can extract prices, portion sizes, and food categories of rival listings in real time.

Year Avg. Meal Price on Talabat (AED) Avg. Meal Price on Zomato (AED)
2020 28.4 30.1
2021 29.2 31.0
2022 30.8 32.5
2023 31.5 33.2
2024 32.9 34.0
2025 34.1 (proj.) 35.3 (proj.)

The upward pricing trend makes food delivery competitor monitoring essential. Restaurants need to know when to adjust prices and by how much—without losing customer loyalty or algorithmic favor.

Promotions Drive Volumes

Talabat’s “Free Delivery Friday” or Zomato’s “Combo Meals at AED 20” are not just eye-catching—they’re strategic. These offers often result in 20–35% increases in order volumes for featured restaurants.

Promo Type Avg. Order Volume Uplift
Free Delivery (Talabat) +33%
Flat Discount (Zomato) +27%
Combo Meals +31%
Time-limited Deals +22%

The need for accurate promotional insights cannot be overstated. By leveraging restaurant data scraping services, restaurants gain access to campaign patterns—what works, when, and on which platform.

Pricing, delivery fees, and promotions are not static—they’re dynamic levers that restaurants must constantly calibrate to remain relevant. Actowiz Solutions enables this with tailored food delivery competitor monitoring, menu scraping services, and delivery fee tracking, giving UAE food businesses a decisive edge in one of the most competitive delivery landscapes globally.

How Actowiz Solutions Scrapes Talabat & Zomato Data?

What-is-RERA-Data-Extraction-

In the competitive and fast-evolving UAE food delivery landscape, data-backed decision-making is essential. Actowiz Solutions empowers restaurants, cloud kitchens, and QSR chains with accurate and real-time data through powerful web scraping services UAE, specifically tailored for leading food platforms like Talabat and Zomato. Here’s how our comprehensive scraping infrastructure helps unlock actionable insights from these platforms.

At the core of our UAE food delivery analytics lies a robust and scalable scraping architecture designed to handle large-scale data collection efficiently. Our infrastructure uses intelligent proxy rotation, geo-targeting, and anti-blocking mechanisms to ensure consistent access to data even from heavily protected platforms like Talabat and Zomato. Whether it's scraping menu prices, delivery charges, or promotional banners, our framework is built to deliver precision and continuity.

To address the unique ecosystem of each food delivery platform, Actowiz Solutions develops custom crawlers and APIs tailored to Talabat and Zomato. These crawlers are configured to parse key data fields such as restaurant listings, category-wise item menus, dynamic pricing, promo details, and customer reviews. We also support deep online restaurant promotion tracking, identifying limited-time deals, platform-led events, or brand-specific discounts that influence consumer behavior.

One of the most critical features of our solution is data scheduling and frequency customization. Some businesses require daily updates to keep up with rapid price changes or new promotional campaigns, while others may prefer weekly or bi-weekly reports. Our scheduling engine allows clients to define the cadence that best suits their operations, ensuring they always work with the freshest data.

To simplify insights and help compare trends across platforms, we provide cross-platform comparison dashboards. These intuitive dashboards showcase differences in pricing, delivery charges, and promotional activity between Talabat and Zomato for the same restaurant or similar categories. Clients can use these visual comparisons to identify gaps in their own listings, benchmark against top competitors, or spot pricing inconsistencies across apps.

All data collected through scraping is cleaned, de-duplicated, and structured into easy-to-consume formats—either through downloadable reports, real-time dashboards, or API endpoints. This clean, structured output ensures seamless integration with the client’s internal analytics platforms or CRM tools, saving hours of manual effort and reducing the risk of decision-making based on incomplete data.

Through this streamlined process, Actowiz Solutions has become a trusted provider of web scraping services UAE, helping hundreds of food brands optimize their strategy with timely and accurate intelligence. Whether the goal is precise online restaurant promotion tracking, delivery pricing analysis, or menu optimization, our Talabat and Zomato scraping solutions deliver high-impact results backed by technical reliability and strategic depth.

For any F&B business looking to stay competitive in the crowded food delivery space, Actowiz offers the tools and data muscle to lead confidently.

Use Cases from UAE F&B Brands

What-is-RERA-Data-Extraction-
Dynamic Pricing Based on Zone-Level Insights

A Dubai-based cloud kitchen brand used Zomato data scraping to compare combo meal pricing across different delivery zones. They identified that competitors were altering prices based on locality—sometimes with just AED 2–3 differences. Using this data, they restructured their pricing for specific neighborhoods like Deira and Karama, leading to a 17% increase in orders within two weeks. This showcases how zone-based food delivery app scraping can uncover microtrends invisible to the naked eye.

Weekend Promotions to Boost Visibility

A multi-brand F&B group leveraged Talabat data extraction to monitor how "Free Delivery Friday" offers affected listing visibility. Through consistent food delivery app scraping, they discovered that restaurants offering these deals ranked higher on Talabat's homepage and category pages. The brand replicated this strategy across its outlets, resulting in a 21% spike in weekend order volume. Such platform-specific offer strategies can be fine-tuned with precise data.

Offer Gap Analysis Across Branches

A popular Shawarma chain in Abu Dhabi noticed uneven order performance between its outlets. Using food delivery app scraping, they found that the Khalifa City branch was missing promotions that were active in their other branches on Zomato. After launching a midweek "Buy 1 Get 1" deal tailored to the area, they observed a 38% rise in daily orders over the following 10 days. This proves how Zomato data scraping supports branch-level optimization.

Improving Visibility Without Deep Discounts

A Sharjah-based luxury restaurant wanted better app placement without sacrificing margins. Through Zomato data scraping, Actowiz analyzed keyword relevance and menu structure. The brand adjusted dish names and rearranged their menu items based on platform-ranking logic. Within 30 days, their visibility improved significantly, placing them in the top 3 results under their cuisine category, all without issuing heavy discounts.

Delivery Fee Benchmarking for Franchise Chains

One of UAE’s largest QSR franchise chains employed Talabat data extraction to map delivery fee patterns across all Emirates. They identified areas where excessive surcharges were hurting conversion rates. By using delivery fee tracking in parallel with menu scraping services, they realigned their free delivery promotions to match high-surcharge zones. The result: a 15% boost in monthly app-based revenue due to improved customer retention.

Multiplatform Strategy for Competitive Edge

Several brands used combined data from Zomato data scraping and Talabat data extraction to launch dual-platform promotions. These included synchronizing “combo” deals, aligning delivery fees, and matching listing descriptions across both platforms. This cross-platform strategy improved brand consistency and maximized reach during peak meal times.

These examples highlight how Actowiz Solutions helps F&B businesses in the UAE leverage food delivery app scraping to make data-driven decisions. Whether optimizing delivery charges, reworking promotions, or enhancing visibility, our scraping technology enables actionable insights that drive real growth across the food delivery ecosystem.

Discover how UAE food brands optimize pricing, boost visibility, and outperform competitors using real-time data—start your journey with Actowiz’s smart scraping solutions today.
Contact Us Today!

Compliance, Ethics & Best Practices

What-is-RERA-Data-Extraction-

At Actowiz Solutions, compliance and ethics form the foundation of our food delivery data scraping operations. As data scraping becomes an essential tool for businesses to stay competitive, it's equally important to ensure that all data collection activities are conducted responsibly and within legal boundaries.

We focus exclusively on scraping public data only—meaning any data that is openly available on platforms like Talabat and Zomato without requiring login credentials or bypassing any technical restrictions. This includes public-facing restaurant listings, menus, prices, delivery charges, and promotions. We do not access, store, or process any user-specific data, login-based content, or proprietary APIs unless explicitly permitted.

Actowiz strictly adheres to platform guidelines and terms of service. While different food delivery platforms have varying data usage policies, we ensure that all scraping efforts are calibrated to align with their technical and legal expectations. We prioritize low-impact crawling patterns to avoid disrupting platform operations and use intelligent scheduling to reduce server load.

We also take data privacy and T&C awareness seriously. Our team stays up to date with evolving data laws such as GDPR, PDPA (Singapore), and regional cybersecurity acts in the UAE. This ensures that our clients are never exposed to legal risks stemming from non-compliance.

Actowiz promotes responsible data extraction policies that combine ethical data handling with robust technical safeguards. Before launching any data scraping project, we conduct a compliance audit to assess the legality and ethical implications of the task. We also educate our clients on best practices and recommend use cases that generate business value while respecting the digital rights of platforms and users.

By integrating compliance into our core methodology, Actowiz Solutions empowers businesses to gain competitive insights while maintaining the highest standards of ethical data use.

How Actowiz Solutions Can Help?

Actowiz Solutions offers powerful and tailored Talabat & Zomato scraping setups designed to help UAE-based food businesses gain actionable insights from delivery platforms. Whether you're a QSR chain, a cloud kitchen, or a restaurant group, our solutions are built to extract, structure, and deliver the exact data you need—from menu listings and delivery charges to real-time promotions.

We provide end-to-end support, starting from project scoping and crawler configuration to dashboard setup and ongoing insights delivery. Our scraping infrastructure supports both real-time feeds and historical analysis, enabling you to track changes over time and build trends-based strategies for pricing and promotions.

Through report automation and alert systems, you can stay instantly informed about competitors' price drops, limited-time offers, or menu changes. Our systems send notifications whenever a predefined change occurs, helping you respond faster and smarter.

With deep experience working with UAE-based QSRs and food delivery brands, Actowiz understands the local market dynamics, consumer expectations, and platform algorithms. From food delivery app scraping to customized analytics dashboards, we help your brand stay ahead of competition, improve app visibility, and grow order volumes—without compromising on compliance or data quality.

Conclusion

In today’s competitive UAE food delivery landscape, leveraging scraped data from Talabat and Zomato is essential for effective delivery fee benchmarking, menu pricing optimization, and promotional tracking. Brands that utilize this data gain a strategic edge—improving visibility, boosting order volumes, and staying aligned with dynamic platform trends. Actowiz Solutions offers compliant, customized, and insight-driven food delivery app scraping services tailored to your brand's growth. Let data drive your decisions, not guesswork. Request a free demo today and see how Actowiz Solutions can transform your food delivery performance across the UAE market! You can also reach us for all your mobile app scraping, data collection, web scraping , and instant data scraper service requirements!

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] => 216.73.216.24
                    [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] => 216.73.216.24
                    [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
)

Start Your Project

+1

Additional Trust Elements

✨ "1000+ Projects Delivered Globally"

⭐ "Rated 4.9/5 on Google & G2"

🔒 "Your data is secure with us. NDA available."

💬 "Average Response Time: Under 12 hours"

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

Actowiz Insights Hub

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

All
Blog
Case Studies
Infographics
Report
Oct 28, 2025

Scraping Consumer Preferences on Dan Murphy’s Australia - Unveiling 5-Year Trends Across 50,000+ Alcohol Listings (2020–2025)

Discover how Scraping Consumer Preferences on Dan Murphy’s Australia reveals 5-year trends (2020–2025) across 50,000+ vodka and whiskey listings for data-driven insights.

thumb

Web Scraping Whole Foods Promotions and Discounts Data to Optimize Grocery Pricing Strategies

Discover how Web Scraping Whole Foods Promotions and Discounts Data helps retailers optimize pricing strategies and gain competitive insights in grocery markets.

thumb

Scrape USA E-Commerce Platforms for Inventory Monitoring - Tracking 5-Year Stock Trends Across 50,000+ Online SKUs (2020–2025)

Scrape USA E-Commerce Platforms for Inventory Monitoring to uncover 5-year stock trends, product availability, and supply chain efficiency insights.

Oct 28, 2025

Scraping Consumer Preferences on Dan Murphy’s Australia - Unveiling 5-Year Trends Across 50,000+ Alcohol Listings (2020–2025)

Discover how Scraping Consumer Preferences on Dan Murphy’s Australia reveals 5-year trends (2020–2025) across 50,000+ vodka and whiskey listings for data-driven insights.

Oct 27, 2025

Scraping APIs for Grocery Store Price Matching - Comparing Walmart, Kroger, Aldi & Target Prices Across 10,000+ Products

Discover how Scraping APIs for Grocery Store Price Matching helps track and compare prices across Walmart, Kroger, Aldi, and Target for 10,000+ products efficiently.

Oct 26, 2025

How to Scrape The Whisky Exchange UK Discount Data to Track 95% of Real-Time Whiskey Deals Efficiently?

Learn how to Scrape The Whisky Exchange UK Discount Data to monitor 95% of real-time whiskey deals, track price changes, and maximize savings efficiently.

thumb

Web Scraping Whole Foods Promotions and Discounts Data to Optimize Grocery Pricing Strategies

Discover how Web Scraping Whole Foods Promotions and Discounts Data helps retailers optimize pricing strategies and gain competitive insights in grocery markets.

thumb

AI-Powered Real Estate Data Extraction from NoBroker to Track Property Trends and Market Dynamics

Discover how AI-Powered Real Estate Data Extraction from NoBroker tracks property trends, pricing, and market dynamics for data-driven investment decisions.

thumb

How Automated Data Extraction from Sainsbury’s for Stock Monitoring Improved Product Availability & Supply Chain Efficiency

Discover how Automated Data Extraction from Sainsbury’s for Stock Monitoring enhanced product availability, reduced stockouts, and optimized supply chain efficiency.

thumb

Scrape USA E-Commerce Platforms for Inventory Monitoring - Tracking 5-Year Stock Trends Across 50,000+ Online SKUs (2020–2025)

Scrape USA E-Commerce Platforms for Inventory Monitoring to uncover 5-year stock trends, product availability, and supply chain efficiency insights.

thumb

Maximizing Margins - Scraping Online Liquor Stores for Competitor Price Intelligence to Monitor Competitor Pricing in the Online Liquor Market

Explore how Scraping Online Liquor Stores for Competitor Price Intelligence helps monitor competitor pricing, optimize margins, and gain actionable market insights.

thumb

Real-Time Price Monitoring and Trend Analysis of Amazon and Walmart Using Web Scraping Techniques

This research report explores real-time price monitoring of Amazon and Walmart using web scraping techniques to analyze trends, pricing strategies, and market dynamics.

phone
Quick Connect
phone
Quick Connect