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GeoIp2\Model\City Object
(
    [raw:protected] => Array
        (
            [city] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [continent] => Array
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                    [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
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                    [iso_code] => US
                    [names] => Array
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                            [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
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                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [postal] => Array
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                    [code] => 43215
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            [registered_country] => Array
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                    [geoname_id] => 6252001
                    [iso_code] => US
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                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [subdivisions] => Array
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                        (
                            [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
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                    [ip_address] => 216.73.216.160
                    [prefix_len] => 22
                )

        )

    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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                    [0] => en
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            [validAttributes:protected] => Array
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                    [0] => code
                    [1] => geonameId
                    [2] => names
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        )

    [country:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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                    [0] => en
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            [validAttributes:protected] => Array
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                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

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

    [maxmind:protected] => GeoIp2\Record\MaxMind Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [validAttributes:protected] => Array
                (
                    [0] => queriesRemaining
                )

        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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                    [1] => geonameId
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                    [3] => isoCode
                    [4] => names
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        )

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

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                    [5] => type
                )

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.160
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
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            [validAttributes:protected] => Array
                (
                    [0] => autonomousSystemNumber
                    [1] => autonomousSystemOrganization
                    [2] => connectionType
                    [3] => domain
                    [4] => ipAddress
                    [5] => isAnonymous
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                    [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
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            [validAttributes:protected] => Array
                (
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                    [1] => geonameId
                    [2] => names
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        )

    [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
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                )

        )

)
 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
)

Big Basket Grocery Store Dataset - Web Scraping Big Basket Grocery Prices

Web scraped dataset from Big Basket Grocery, capturing product names, prices, ratings, and reviews. Useful for market analysis and consumer behavior research. Provides insights into popular items and pricing trends in online grocery retail. Uncover

  • Product Name
  • Reviews
  • Store Location
  • Nutrition

Big Basket Datasets Explained

Big Basket datasets encompass diverse information, including product catalogs, customer reviews, sales data, and more. These datasets are valuable for market analysis, machine learning research, and business intelligence. They offer insights into consumer behavior, product trends, and competitive landscapes within Big Basket vast e-commerce ecosystem. We ensure accurate and up-to-date information on:

  • Product ID
  • Product Image
  • Product Name
  • Country of Origin
  • Brand
  • Allergens
  • Availability
  • Category
  • Delivery Fee
  • Delivery Options
  • Delivery Time
  • Description
  • Discounts/Offers
  • Expiration Date
  • Ingredients
  • Minimum Order Amount
  • Nutritional Information
  • Order Status
  • Packaging Details
  • Payment Methods
  • Price
  • Promotional Tags
  • Return Policy
  • Reviews
  • SKU (Stock Keeping Unit)
  • Stock Level
  • Store Location
  • Store Name
  • User Ratings
  • Weight/Volume
  • Nutrition
Datasets-Explained
IDProduct CodeProduct NameAttributesMRPDiscountAvailabilityCategorySub CategoryOther CategorySelling PriceImage URLDescriptionProduct URLScrape TimeCityPincodeUnique ID
140311253NIVEA Raspberry Fresh Blends Refreshing Shower Gel - With Blueberry & Almond Milk300 ml499N/ATRUEbeauty & hygienebath & hand washshower gel & body wash499https://www.bigbasket.com/media/uploads/p/l/40311253_3-nivea-raspberry-fresh-blends-refreshing-shower-gel-with-blueberry-almond-milk.jpg | https://www.bigbasket.com/media/uploads/p/l/40311253-2_1-nivea-raspberry-fresh-blends-refreshing-shower-gel-with-blueberry-almond-milk.jpg | https://www.bigbasket.com/media/uploads/p/l/40311253-3_1-nivea-raspberry-fresh-blends-refreshing-shower-gel-with-blueberry-almond-milk.jpg | https://www.bigbasket.com/media/uploads/p/l/40311253-4_1-nivea-raspberry-fresh-blends-refreshing-shower-gel-with-blueberry-almond-milk.jpg | https://www.bigbasket.com/media/uploads/p/l/40311253-5_1-nivea-raspberry-fresh-blends-refreshing-shower-gel-with-blueberry-almond-milk.jpg | https://www.bigbasket.com/media/uploads/p/l/40311253-6_1-nivea-raspberry-fresh-blends-refreshing-shower-gel-with-blueberry-almond-milk.jpgAbout the Product Nivea Fresh Blends is a lovingly blended Shower gel - for the skin and the environment. Make every shower filled with natural fruity care. The vegan formula is pH skin neutral, giving you a fantastic moisturized skin feeling. For a blast of freshness, experience a naturally caring shower with rich ingredients like Raspberry, Blueberry and Almond Milk. It has 91% Naturally derived ingredients, making it a go-to natural shower gel. The fruity fragrance of Fresh Blends shower gel invigorates your senses. It is environmentally friendly and is 100% microplastic free, not tested on animals, 99% biodegradable, and filled in 97% recycled plastic bottle. It is paraben free as well. It is a globally loved range, now available in India. | Composition Aqua, Sodium Laureth Sulfate, Cocamidopropyl Betaine, Coco-Glucoside, Mangifera Indica (Mango) Juice, Prunus Armeniaca Juice (Apricot), Oryza Sativa Extract (Rice), Prunus Amygdalus Dulcis Oil (Sweet Almond Oil), Glycerin, Glycol Distearate, Hydrogenated Castor Oil, Hydrogenated Lecithin, Propylene Glycol, Citric Acid, Sodium Chloride, Denatonium Benzoate, Sodium Sulphate, Sodium Benzoate, Benzoic acid, Potassium Sorbate, Geraniol, Linalool, Parfum, CI 15985. | How to Use Rinse your body well with lukewarm water. Apply shower gel across your body. Gently scrub it off with a loofah. Wash it off with lukewarm water. Pat dry your skin with a soft towel. | Other Product Info EAN Code: 40311253 Manufactured & Marketed by: Dankwardt GmbH Jessenitz Rudolf Dankwardt GmbH, Gutenberging 50-52, 22848, Norderstedt, Germany Dankwardt GmbH Jessenitz, Rudolf Dankwardt GmbH, Gutenberging 50-52, 22848, Norderstedt, Germany Country of Origin: Germany Best before 21-07-2026 For Queries/Feedback/Complaints, Contact our Customer Care Executive at: Phone: 1860 123 1000 | Address: Innovative Retail Concepts Private Limited, Ranka Junction 4th Floor, Tin Factory bus stop. KR Puram, Bangalore - 560016 Email:customerservice@bigbasket.comhttps://www.bigbasket.com/pd/40311253/nivea-raspberry-fresh-blends-refreshing-shower-gel-with-blueberry-almond-milk-300-ml/2025-01-20 18:30:56Hyderabad50000140311253500001
240156320Tata Sampann Organic Kabuli Chana/Bombai Senagalu500 g160₹3 OFFFALSEfoodgrains, oil & masalaorganic staplesorganic dals & pulses156.98https://www.bigbasket.com/media/uploads/p/l/40156320_12-tata-sampann-organic-kabuli-chana.jpg | https://www.bigbasket.com/media/uploads/p/l/40156320-2_12-tata-sampann-organic-kabuli-chana.jpg | https://www.bigbasket.com/media/uploads/p/l/40156320-3_12-tata-sampann-organic-kabuli-chana.jpg | https://www.bigbasket.com/media/uploads/p/l/40156320-4_9-tata-sampann-organic-kabuli-chana.jpg | https://www.bigbasket.com/media/uploads/p/l/40156320-5_2-tata-sampann-organic-kabuli-chana.jpg | https://www.bigbasket.com/media/uploads/p/l/40156320-6_2-tata-sampann-organic-kabuli-chana.jpg | https://www.bigbasket.com/media/uploads/p/l/40156320-7_2-tata-sampann-organic-kabuli-chana.jpg | https://www.bigbasket.com/media/uploads/p/l/40156320-8_1-tata-sampann-organic-kabuli-chana.jpg | https://www.bigbasket.com/media/uploads/p/l/40156320-9_1-tata-sampann-organic-kabuli-chana.jpgAbout the Product ORGANIC: Tata Sampann Organic Pulses are sourced from certified organic farms where no chemical fertilizers or pesticides are used. PRODUCE OF ORGANIC FARMING: Tata Sampann Organic Pulses are produced and processed as per the NPOP standards of India and NOP. UNPOLISHED: It does not undergo any artificial polishing with water, oil or leather thereby retaining its goodness and wholesomeness. STRINGENT QUALITY CHECK: Ensures that the grains of dal are uniform in size and colour. CHEF RECOMMENDED: Recommended by Chef Sanjeev Kapoor and Chef Ranveer Brar. So, whenever you are in the mood to cook something easy and delicious, dive into the scrumptious taste of Tata Sampann pulses, and enjoy a delicious meal! Explore Tata Sampann Organic Pulses range – Toor Dal, Masoor Dal, Chana Dal, Urad Whole, Chana Dal, Moong Dal, Urad Dal, Moong Dal, Rajma (Red), Brown Chana, Moong Chilka and Kabuli Chana. | Ingredients Organic Kabuli Chana | Other Product Info EAN Code: 40156320 Manufactured Name & Marketed By :TATA GLOBAL BEVERAGES LTD (221) Ashapura Agrocomm Private Ltd,Gat No./Survey No. 53/3/B/1 & 53/3/B/2, Revenue Village, Kumbhivali, Taluka Khalapur, District-Raigad, Maharashtra - 410 202 FSSAI :10014031001025 Country of Origin: India Best before 21-07-2025 For Queries/Feedback/Complaints, Contact our Customer Care Executive at: Phone: 1860 123 1000 | Address: Innovative Retail Concepts Private Limited, Ranka Junction 4th Floor, Tin Factory bus stop. KR Puram, Bangalore - 560016 Email:customerservice@bigbasket.com | Features Savour the delicious bowl of Organic Kabuli Chana, a staple in the Indian diet. Organic Dals/Dals provide nutrients such as Protein & Fibre. Tata Sampann Organic Pulses are grown without any use of chemical fertilizers or pesticides. Tata Sampann Organic Pulses are produced and processed as per the NPOP standard of India and NOP. Does not undergo any artificial polishing with water, oil or leather thereby retaining its goodness and wholesomeness. Tata Sampann organic dal is recommended by Chef Sanjeev Kapoor and Chef Ranveer Brar. Ensures that the grains of dal are uniform in size and colour. Prepare chhole-bhature, hummus dips, kadala curry, chana chaat and more. | How to Use It can be used as regular pulses in day-to-day recipes.https://www.bigbasket.com/pd/40156320/tata-sampann-organic-kabuli-chana-500-g/2025-01-20 18:30:56Hyderabad50000140156320500001
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Flexible-Data-Delivery

Flexible Data Delivery

Tailored to your Big Basket product price scraping needs, we provide flexibility in selecting output formats, storage options, and delivery schedules:

  • Access food datasets in JSON, CSV, and other preferred formats;
  • Retrieve data through SFTP or integrate directly with cloud storage solutions like Google Cloud Storage, AWS S3, and more;
  • Choose one-time, monthly, quarterly, or bi-annually extract food datasets frequencies to suit your requirements.
Get Started

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Access Actowiz's curated enterprise datasets for precise data insights, sourced by top web data specialists.

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Save time; our team expertly extracts data for analysis, aligning with strategic business goals cost-effectively.

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Receive tailored industry datasets; our flexible methods align with unique business needs for optimal decisions.

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Commitment to Ethical Data Practices

Actowiz leads Ethical Web Data Collection, upholding GDPR and CCPA, setting standards for responsible data practices./p>

Pricing Overview

Standard-Pricing

Standard Pricing

  • Standardized Data Offerings with readily accessible datasets.
  • Consistent Data Framework that ensures clarity and consistency.
  • Top-tier Data Integrity from the most intricate data channels.

Flexible Delivery Options:

  • Monthly Updates
  • Quarterly Deliveries
  • One-off Purchases
Get Started
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Custom Pricing

  • Tailored Data Retrieval precisely aligned with your business needs.
  • Adaptable Data Framework crafted to fit your unique needs.
  • Scalable & Dynamic Offerings to ensure flexibility and scalability.
  • Streamlined Communication ensures smooth and instant communication.

Varied Delivery Options:

  • Daily Updates
  • Weekly Snapshots
  • Monthly Insights
  • Quarterly Reports
  • Customized Frequencies to Suit You
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Inclusive Benefits Across All Plans:

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  • Expert Data Extraction
  • Regulatory Assurance
  • Personalized Support
  • Broad Data Coverage

Why Choose Actowiz Solutions’ Datasets?

Assessing-Your-Data-Requirements

Assessing Your Data Requirements:

Our first step is to delve into your company's specifics and business goals, ensuring we align perfectly with your data aspirations.

Crafting-Tailored-Data-Solutions

Crafting Tailored Data Solutions

Leveraging our robust in-house web scraping tools, we design a bespoke strategy tailored to your data extraction needs.

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Sample Data Preview

Experience firsthand with a sample of our company data. Gauge its quality and familiarize yourself with our seamless data delivery mechanism.

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Steadfast Data Streamlining

Once aligned, we initiate regular data dispatches based on the frequency and specifications we've mutually agreed upon.

Frequently Asked Questions

Big Basket datasets typically refer to datasets that contain information related to Amazon's grocery delivery and pickup service, Big Basket. Big Basket grocery item details scraping provides details such as product listings, prices, availability, customer reviews, ratings, and other relevant data pertaining specifically to groceries and household items offered through Big Basket. They are valuable for market analysis, consumer behavior research, and operational insights within the online grocery sector.
Choosing Big Basket datasets over web scraping offers significant advantages for researchers, businesses, and analysts. Firstly, these datasets provide structured and reliable information directly from Amazon, ensuring data integrity and accuracy. This eliminates the risks associated with web scraping, such as legal concerns and potential disruptions due to changes in website structure or policies. By leveraging official datasets, users save time and resources that would otherwise be spent on developing and maintaining scraping scripts. Moreover, Big Basket product availability scraping typically offer comprehensive coverage, including detailed product information, customer reviews, pricing data, and more across a wide range of grocery categories. This breadth of data supports thorough market analysis, consumer behavior research, and operational insights within the online grocery sector. Overall, using Big Basket product availability scraping enables efficient access to robust data sources that facilitate informed decision-making and strategic planning.
Accessing Big Basket data through Actowiz Solutions involves leveraging platforms or services that aggregate and provide e-commerce data. We offer Big Basket promotional offers scraping services with access to comprehensive datasets, including Big Basket, for detailed market analysis and consumer behavior insights. Data marketplaces also facilitate purchasing datasets from various e-commerce platforms, potentially including Big Basket, while we also offer APIs for integrating real-time data into applications or research projects. Academic collaborations may provide access to anonymized datasets for scholarly research on online retail trends and consumer dynamics. It's crucial to ensure data accuracy, compliance with legal regulations, and ethical considerations when using third-party data sources for business or research purposes.

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.
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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
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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
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1 min

See Actowiz in Action – Real-Time Scraping Dashboard + Success Insights

Blinkit (Delhi NCR)

In Stock
₹524

Amazon USA

Price Drop + 12 min
in 6 hrs across Lel.6

Appzon AirPdos Pro

Price
Drop −12 thr

Zepto (Mumbai)

Improved inventory
visibility & planning

Monitor Prices, Availability & Trends -Live Across Regions

Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.

✔ Scraped Data: Price Insights Top-selling SKUs

Our Data Drives Impact - Real Client Stories

Blinkit | India (Retail Partner)

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

US Electronics Seller (Amazon - Walmart)

With hourly price monitoring, we aligned promotions with competitors, drove 17%

✔ Scraped Data, SKU availability, delivery time

Zepto Q Commerce Brand

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

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