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Actowiz Metrics Now Live!

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Actowiz Metrics Now Live!

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Actowiz Metrics Now Live!

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Actowiz Metrics Now Live!

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Actowiz Metrics Now Live!

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GeoIp2\Model\City Object
(
    [city:protected] => GeoIp2\Record\City Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => names
                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 4744870
                    [names] => Array
                        (
                            [de] => Ashburn
                            [en] => Ashburn
                            [es] => Ashburn
                            [fr] => Ashburn
                            [ja] => アッシュバーン
                            [pt-BR] => Ashburn
                            [ru] => Ашберн
                            [zh-CN] => 阿什本
                        )

                )

        )

    [location:protected] => GeoIp2\Record\Location Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => averageIncome
                    [1] => accuracyRadius
                    [2] => latitude
                    [3] => longitude
                    [4] => metroCode
                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.0469
                    [longitude] => -77.4903
                    [metro_code] => 511
                    [time_zone] => America/New_York
                )

        )

    [postal:protected] => GeoIp2\Record\Postal Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => confidence
                )

            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => 20149
                )

        )

    [subdivisions:protected] => Array
        (
            [0] => GeoIp2\Record\Subdivision Object
                (
                    [validAttributes:protected] => Array
                        (
                            [0] => confidence
                            [1] => geonameId
                            [2] => isoCode
                            [3] => names
                        )

                    [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                        (
                            [0] => en
                        )

                    [record:GeoIp2\Record\AbstractRecord:private] => Array
                        (
                            [geoname_id] => 6254928
                            [iso_code] => VA
                            [names] => Array
                                (
                                    [de] => Virginia
                                    [en] => Virginia
                                    [es] => Virginia
                                    [fr] => Virginie
                                    [ja] => バージニア州
                                    [pt-BR] => Virgínia
                                    [ru] => Вирджиния
                                    [zh-CN] => 弗吉尼亚州
                                )

                        )

                )

        )

    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => geonameId
                    [2] => names
                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [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
                        )

                )

        )

    [country:protected] => GeoIp2\Record\Country Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

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

    [maxmind:protected] => GeoIp2\Record\MaxMind Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => queriesRemaining
                )

            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [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
                        )

                )

        )

    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                    [5] => type
                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [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
                )

            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 18.97.9.175
                    [prefix_len] => 18
                    [network] => 18.97.0.0/18
                )

        )

    [raw:protected] => Array
        (
            [city] => Array
                (
                    [geoname_id] => 4744870
                    [names] => Array
                        (
                            [de] => Ashburn
                            [en] => Ashburn
                            [es] => Ashburn
                            [fr] => Ashburn
                            [ja] => アッシュバーン
                            [pt-BR] => Ashburn
                            [ru] => Ашберн
                            [zh-CN] => 阿什本
                        )

                )

            [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] => 39.0469
                    [longitude] => -77.4903
                    [metro_code] => 511
                    [time_zone] => America/New_York
                )

            [postal] => Array
                (
                    [code] => 20149
                )

            [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] => 6254928
                            [iso_code] => VA
                            [names] => Array
                                (
                                    [de] => Virginia
                                    [en] => Virginia
                                    [es] => Virginia
                                    [fr] => Virginie
                                    [ja] => バージニア州
                                    [pt-BR] => Virgínia
                                    [ru] => Вирджиния
                                    [zh-CN] => 弗吉尼亚州
                                )

                        )

                )

            [traits] => Array
                (
                    [ip_address] => 18.97.9.175
                    [prefix_len] => 18
                )

        )

)

 country : United States

 city : Ashburn

US

Array
(
    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
    [asn] => AS14618
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)

Introduction

To scrape restaurant data from websites like Deliveroo, Talabat, and Careem is a potent strategy for gaining valuable insights into the ever-evolving culinary landscape. This process unveils a wealth of information for businesses and enthusiasts alike, offering a nuanced understanding of trending cuisines, popular dishes, and competitive pricing.

By extracting details like restaurant names, cuisines, locations, ratings, and customer reviews, scraping enables stakeholders to stay informed about consumer preferences and industry trends. This data can guide strategic decisions, from menu planning to pricing strategies, fostering a competitive edge in the market.

Web scraping also empowers businesses to monitor their competitors, identify emerging culinary trends, and adapt to evolving consumer preferences. For enthusiasts, it opens a window into diverse culinary experiences and helps discover hidden gems within the vast array of options.

Why Scrape Restaurants Data from Deliveroo, Talabat and Careem?

Deliveroo food delivery data collection, Talabat food delivery data collection, and Careem food delivery data collection offers numerous advantages for businesses, researchers, and enthusiasts seeking insights into the culinary landscape. Here are several compelling reasons to engage in this practice:

Market Intelligence

Accessing data from these platforms provides valuable market intelligence. Businesses can analyze trends, identify popular cuisines, and understand consumer preferences to tailor their offerings.

Competitor Analysis

Scrutinizing the competition becomes more effective by scraping restaurant data. Businesses can track competitors' menus, pricing strategies, and customer reviews, allowing for strategic adjustments to stay competitive.

Menu Planning and Optimization

For restaurant owners and chefs, scraping data assists in menu planning and optimization. Understanding which dishes are trending or receiving positive reviews helps craft menus that resonate with customers.

Pricing Strategies

Analyzing pricing structures across various restaurants aids in developing effective pricing strategies. Businesses can set competitive prices while maintaining profitability.

Customer Reviews and Feedback

Scraping customer reviews provides valuable feedback businesses can use to enhance their services. Understanding customer sentiments helps in improving overall customer satisfaction.

Discovering New Trends

Enthusiasts and food researchers can leverage scraped data to identify emerging culinary trends. This information is valuable for exploring new flavors, cuisines, and unique dining experiences.

Geographical Insights

Scraped data often includes location information, offering insights into the geographical distribution of restaurants. This is beneficial for businesses considering expansion or targeting specific markets.

Data-Driven Decision Making

Businesses can make informed decisions backed by real-time and historical data. This approach fosters agility and adaptability in responding to consumer behavior or market trend changes.

Strategic Partnerships

For delivery service providers like Talabat and Careem, scraping data can identify potential partnerships with popular and trending restaurants, improving the variety and quality of their service offerings.

Enhanced User Experience

Platforms can leverage scraped data to enhance the user experience by providing personalized recommendations, showcasing popular dishes, and optimizing search functionalities.

Process to Follow to Scrape Restaurants Data from Deliveroo, Talabat and Careem

Embarking on the journey to scrape Talabat food delivery data requires a strategic approach to ensure accuracy, compliance, and meaningful insights. Let's delve into a comprehensive guide from identifying target URLs to visualizing scraped data.

1. Identifying Target URLs

Before initiating the scraping process, meticulously gather the URLs of the specific restaurant pages you aim to extract information from. Delve into the intricacies of the page structure, comprehending the HTML layout to streamline the subsequent scraping steps.

2. Utilizing Requests and BeautifulSoup

Employ the requests library to retrieve the HTML content of the restaurant pages efficiently. Subsequently, leverage the power of BeautifulSoup for HTML parsing, enabling the extraction of pertinent details such as restaurant names, cuisines, ratings, and customer reviews.

3. Navigating Dynamic Content

In instances where websites incorporate dynamic content loading, often driven by JavaScript, consider incorporating tools like selenium to ensure the comprehensive capture of all relevant data. This step ensures a thorough extraction, especially when dealing with elements that load dynamically based on user interactions.

4. Extracting Data

Identify the HTML tags and classes housing the desired restaurant information. Extract critical details such as the restaurant name, cuisine type, location, ratings, and customer reviews. This phase forms the backbone of your data collection process, providing the foundation for insightful analysis.

5. Storing Data

Implement a robust data storage solution like a relational database like SQLite or MySQL. Persistent storage ensures the compilation of a comprehensive repository over time, facilitating historical analysis and trend tracking in the dynamic restaurant landscape.

6. Respecting Website Terms of Service

Adherence to ethical scraping practices and strict compliance with the terms of service of each platform is paramount. This approach ensures legal compliance and fosters a responsible and sustainable data collection process.

7. Scheduled Scraping (Optional)

For those seeking real-time and updated insights, consider implementing scheduled scraping. Utilize tools like cron to automate your scraper, enabling periodic runs at predefined intervals. This feature is handy for staying abreast of changes and additions to restaurant data.

8. Implementing Robust Error Handling

Account for the unpredictable nature of the web environment by incorporating robust error-handling mechanisms. These safeguards mitigate issues arising from network fluctuations, website structural changes, or unexpected errors, ensuring the reliability and resilience of your scraping script.

9. Visualization (Optional)

For a holistic understanding of the scraped data, consider incorporating visualization techniques. Use charts or graphs to present trends and patterns, transforming raw data into actionable insights to guide strategic decision-making.

Conclusion

At Actowiz Solutions, we emphasize the significance of tailoring your scraping script to the unique structure of each platform. This adaptive approach, combined with our unwavering commitment to ethical practices and legal compliance, guarantees that the data extracted becomes a valuable asset for your business. Elevate your restaurant data collection endeavors with Actowiz Solutions – where customization meets compliance. For tailored Deliveroo food delivery data scraping services that transform data into actionable insights, contact Actowiz today. Make your data work for you, ensuring it enriches your understanding and aligns seamlessly with your business goals. Act now, and let Actowiz Solutions be your data optimization partner. You can also reach us for all your mobile app scraping, instant data scraper and web scraping service requirements.

GeoIp2\Model\City Object
(
    [city:protected] => GeoIp2\Record\City Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => names
                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 4744870
                    [names] => Array
                        (
                            [de] => Ashburn
                            [en] => Ashburn
                            [es] => Ashburn
                            [fr] => Ashburn
                            [ja] => アッシュバーン
                            [pt-BR] => Ashburn
                            [ru] => Ашберн
                            [zh-CN] => 阿什本
                        )

                )

        )

    [location:protected] => GeoIp2\Record\Location Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => averageIncome
                    [1] => accuracyRadius
                    [2] => latitude
                    [3] => longitude
                    [4] => metroCode
                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.0469
                    [longitude] => -77.4903
                    [metro_code] => 511
                    [time_zone] => America/New_York
                )

        )

    [postal:protected] => GeoIp2\Record\Postal Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => confidence
                )

            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => 20149
                )

        )

    [subdivisions:protected] => Array
        (
            [0] => GeoIp2\Record\Subdivision Object
                (
                    [validAttributes:protected] => Array
                        (
                            [0] => confidence
                            [1] => geonameId
                            [2] => isoCode
                            [3] => names
                        )

                    [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                        (
                            [0] => en
                        )

                    [record:GeoIp2\Record\AbstractRecord:private] => Array
                        (
                            [geoname_id] => 6254928
                            [iso_code] => VA
                            [names] => Array
                                (
                                    [de] => Virginia
                                    [en] => Virginia
                                    [es] => Virginia
                                    [fr] => Virginie
                                    [ja] => バージニア州
                                    [pt-BR] => Virgínia
                                    [ru] => Вирджиния
                                    [zh-CN] => 弗吉尼亚州
                                )

                        )

                )

        )

    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => geonameId
                    [2] => names
                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [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
                        )

                )

        )

    [country:protected] => GeoIp2\Record\Country Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

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

    [maxmind:protected] => GeoIp2\Record\MaxMind Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => queriesRemaining
                )

            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [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
                        )

                )

        )

    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                    [5] => type
                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [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
                )

            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 18.97.9.175
                    [prefix_len] => 18
                    [network] => 18.97.0.0/18
                )

        )

    [raw:protected] => Array
        (
            [city] => Array
                (
                    [geoname_id] => 4744870
                    [names] => Array
                        (
                            [de] => Ashburn
                            [en] => Ashburn
                            [es] => Ashburn
                            [fr] => Ashburn
                            [ja] => アッシュバーン
                            [pt-BR] => Ashburn
                            [ru] => Ашберн
                            [zh-CN] => 阿什本
                        )

                )

            [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] => 39.0469
                    [longitude] => -77.4903
                    [metro_code] => 511
                    [time_zone] => America/New_York
                )

            [postal] => Array
                (
                    [code] => 20149
                )

            [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] => 6254928
                            [iso_code] => VA
                            [names] => Array
                                (
                                    [de] => Virginia
                                    [en] => Virginia
                                    [es] => Virginia
                                    [fr] => Virginie
                                    [ja] => バージニア州
                                    [pt-BR] => Virgínia
                                    [ru] => Вирджиния
                                    [zh-CN] => 弗吉尼亚州
                                )

                        )

                )

            [traits] => Array
                (
                    [ip_address] => 18.97.9.175
                    [prefix_len] => 18
                )

        )

)

 country : United States

 city : Ashburn

US

Array
(
    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
    [asn] => AS14618
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)

Start Your Project

+1 ▼

Select Service Web Scraping Real-Time API Access Data Dashboards Datasets Review & Sentiment Analysis Price Monitoring Custom Solution

Select Industry E-Commerce Quick Commerce Food Delivery Travel & OTA Grocery & Retail Real Estate Others

Target Country Web Scraping Services Mobile App Scraping Web and App Scraping API Datasets Dashboard

A$лвR$C$CHF¥Kčkr€£HK$FtRp₪₹kr¥₩Mex$RMkrNZ$₱złleikrS$฿₺$R Budget Range $500 - $1,000 - Starter Budget (POC/Single Site) $1,000 - $2,500 - Basic Plan (Small Business Needs) $2,500 - $5,000 - Growth Phase (Multi-site/Data Volume Projects) $5,000 - $10,000 - Business-Scale (Automation/API Integrations) $10,000 - $25,000 - Enterprise Projects (Real-Time Systems, Global Data) $25,000 - $50,000 - Enterprise+ (Custom Dashboards, Ongoing Support) $50,000+ - Strategic Partnership (End-to-End Data Ops)

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

Explore Solutions Get a Custom Demo

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.

Ecommerce

Q-Commerce

Travel & OTA

Food Delivery

Real Estate

Social Media

Trusted by Global Leaders – Secured by International Standards

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 Galido

Co-Founder / Head of Product at Upright Data Inc.

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.”

Iulen Ibanez

CEO / Datacy.es

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!”

Febbin Chacko

-Fin, Small Business Owner

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 & palniring

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 inights Top-slling SKUs

Request Demo Access

Our Data Drives Impact - Real Client Stories

Blinkit | India (Relail Partner)

"Actow's helped us reduce out of ststack 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

"Actow's helped us reduce out of ststack 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

Aug 11, 2025

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Weekly Property Insights Using Angi.com Data – Case from American Fork

Weekly Property Insights Using Angi.com Data from American Fork, highlighting local trends, service demands, and contractor market dynamics.

India's Holiday Travel Surge Raksha Bandhan to Independence Day 2025

Explore India's holiday travel trends during the 2025 festive season—from Raksha Bandhan to Independence Day. Discover top destinations, travel tips, and booking insights.

Monthly Tracking of Property Prices in NYC via Realtor.com

monthly tracking of property prices in NYC, using Realtor.com data to analyze market trends, price shifts, and neighborhood-level changes.

Aug 11, 2025

How Power BI Structured Datasets from India Simplify Complex Data for Smarter Business Decisions?

Discover how Power BI Structured Datasets from India simplify complex data, enabling smarter business decisions through accurate insights and streamlined reporting workflows.

Aug 10, 2025

Quick Commerce Independence Day Flash Sale Analysis - Blinkit vs Zepto Showdown

Analyze the Quick Commerce Independence Day flash sales showdown between Blinkit and Zepto, uncovering sales trends, and customer engagement insights.

Aug 08, 2025

Coupang National Liberation Day Promotions - How to Maximize Sales with Data-Driven Campaign Strategies

Learn how to boost sales during Coupang National Liberation Day Promotions using data-driven strategies, targeted campaigns, and smart customer engagement tactics.

Read More

Weekly Property Insights Using Angi.com Data – Case from American Fork

Weekly Property Insights Using Angi.com Data from American Fork, highlighting local trends, service demands, and contractor market dynamics.

Weekly Food Delivery Efficiency Comparison Using Just Eat & Uber Eats

Weekly food delivery efficiency comparison for Just Eat & Uber Eats, analyzing speed, accuracy & satisfaction to help vendors improve service & performance.

Smart Menu Repricing via Weekly Dataset Feeds in India

Optimize restaurant profits in India with Smart Menu Repricing via weekly dataset feeds, enabling competitive pricing and higher customer retention.

Read More

India's Holiday Travel Surge Raksha Bandhan to Independence Day 2025

Explore India's holiday travel trends during the 2025 festive season—from Raksha Bandhan to Independence Day. Discover top destinations, travel tips, and booking insights.

2025 Buying Behavior Trends: Smarter Retail Decisions Backed by Data

Explore retail buying behavior trends for 2025 with data-driven insights on Gen Z, AI, omnichannel shopping, and smart decisions from Actowiz Solutions.

Real-Time Price Monitoring & Benchmarking on Amazon & Walmart for Smarter eCommerce

Use real-time price monitoring to benchmark Amazon & Walmart prices, avoid MAP violations, and power your eCommerce intelligence with Actowiz Solutions.

Read More

Monthly Tracking of Property Prices in NYC via Realtor.com

monthly tracking of property prices in NYC, using Realtor.com data to analyze market trends, price shifts, and neighborhood-level changes.

Weekly Uber Eats Data Tracking of Vendor Activity in New York

Analyze vendor trends with Weekly Uber Eats data in New York, tracking menus, pricing, and activity for strategic food delivery insights.

Weekly BestBuy Electronics Price Monitoring and Market Trends Analysis

Weekly BestBuy Electronics Price Monitoring and Market Trends Analysis: Track dynamic pricing, discounts, and consumer trends

Read More

Our perks are irreplaceable

Time Zone Flexibility

Benefit from the ease of collaboration with Actowiz Solutions, as our team is aligned with your preferred time zone, ensuring smooth communication and timely delivery.

Clear Communication

Our team focuses on clear, transparent communication to ensure that every project is aligned with your goals and that you’re always informed of progress.

Uncompromising Quality

Actowiz Solutions adheres to the highest global standards of development, delivering exceptional solutions that consistently exceed industry expectations

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