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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
                (
                    [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] => 216.73.216.109
                    [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
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            [validAttributes:protected] => Array
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                    [0] => code
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        )

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

                )

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

        )

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

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

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

        )

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

                )

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

        )

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

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

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.109
                    [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
)

Swiggy Instamart Grocery Store Dataset - Web Scraping Swiggy Instamart Grocery Prices

Web scraped dataset from Swiggy Instamart 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

Swiggy Instamart Datasets Explained

Swiggy Instamart 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 Swiggy Instamart 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
Idapplied_offerbrandbrand_idcategory_hierarchychannelcitydescriptionimage_urlsmax_quantitymrpname_slugoffer_priceothersprice_currencyproduct_idproduct_nameproduct_name_without_brandproduct_urlquantityrequest_pincodescraped_timestockstock_statusstore_addressstore_fssai_licensestore_idstore_lat_longunit_priceuser_latitudeuser_longitudeweight_in_grams
113% OFFMyFitness3e2a66d752b0ae08bc37f4652da07898f8a913e6{"l1": "Sauces and Spreads", "l2": "Peanut Butters", "l3": "Peanut Butter", "l4": "Creamy Peanut Butter"}Swiggy InstamartBangaloreIndulge your taste buds and nourish your body with this high-protein dark chocolate peanut butter the perfect pantry addition. Indulge in a healthy and delicious treat. Packed with natural ingredients and protein. A tasty boost for your body and taste buds. Returns And Refund Policy: This item is eligible for a refund or replacement within 4 days of purchase, in an unlikely event of a damaged/defective/incorrect item. In case of an incorrect item , you may raise a refund or replacement request only if the item is sealed/unopened/unused.https://instamart-media-assets.swiggy.com/swiggy/image/upload/fl_lossy,f_auto,q_auto/f5a55493f5523039c9f2c435716de2c5 | https://instamart-media-assets.swiggy.com/swiggy/image/upload/fl_lossy,f_auto,q_auto/1cbc77bb07db4be23ad7a4047461e4a3 | https://instamart-media-assets.swiggy.com/swiggy/image/upload/fl_lossy,f_auto,q_auto/355a54171482893fa9231646288fee5f | https://instamart-media-assets.swiggy.com/swiggy/image/upload/fl_lossy,f_auto,q_auto/298d8bc1ce272d292e5a135f1ffef942 | https://instamart-media-assets.swiggy.com/swiggy/image/upload/fl_lossy,f_auto,q_auto/7c402f6d8483c6b680dd72f8b14e8e46 | https://instamart-media-assets.swiggy.com/swiggy/image/upload/fl_lossy,f_auto,q_auto/b6fd65ba9853b8762a39e950b7abad7050689myfitness-high-protein-dark-chocolate-peanut-butter-smooth-tasty-nut-butter-spread-gluten-free599{"dimensions": {"length_in_cm": 2000, "width_in_cm": 1, "height_in_cm": 1, "volume_in_cc": 2000}, "disclaimer": "Country Of Origin: India. The Shelf life of this product is 365 days from the date of manufacture or packed by.The image(s) shown are representative of the actual product. While every effort has been made to maintain accurate and up to date product related content, it is recommended to read product labels, batch and manufacturing/packing details along with warnings and directions before using or consuming a packed product. For other products or any additional information, please contact the seller and in case you wish to contact the manufacturer/packer, the address mentioned on the product label should be used.", "quantity_with_combo": "1 kg"}INRK0D81W05OYMyFitness High Protein Dark Chocolate Peanut Butter Smooth Tasty Nut Butter Spread | Gluten FreeHigh Protein Dark Chocolate Peanut Butter Smooth Tasty Nut Butter Spread | Gluten Freehttps://www.swiggy.com/instamart/item/K0D81W05OY?storeId=13137121 kg5600012025-03-04 06:00:221in stock GF, Zam Zam Complex property No.26 Infantry Road,Shivaji Nagar, Sampangiramnagar Bengaluru-5600011.12223E+13131371212.981516,77.601807-12.976594477.59927081000
213% OFFMyFitness3e2a66d752b0ae08bc37f4652da07898f8a913e6{"l1": "Sauces and Spreads", "l2": "Peanut Butters", "l3": "Peanut Butter", "l4": "Creamy Peanut Butter"}Swiggy InstamartBangaloreIndulge your taste buds and nourish your body with this high-protein dark chocolate peanut butter the perfect pantry addition. Indulge in a healthy and delicious treat. Packed with natural ingredients and protein. A tasty boost for your body and taste buds. Returns And Refund Policy: This item is eligible for a refund or replacement within 4 days of purchase, in an unlikely event of a damaged/defective/incorrect item. In case of an incorrect item , you may raise a refund or replacement request only if the item is sealed/unopened/unused.https://instamart-media-assets.swiggy.com/swiggy/image/upload/fl_lossy,f_auto,q_auto/f5a55493f5523039c9f2c435716de2c5 | https://instamart-media-assets.swiggy.com/swiggy/image/upload/fl_lossy,f_auto,q_auto/1cbc77bb07db4be23ad7a4047461e4a3 | https://instamart-media-assets.swiggy.com/swiggy/image/upload/fl_lossy,f_auto,q_auto/355a54171482893fa9231646288fee5f | https://instamart-media-assets.swiggy.com/swiggy/image/upload/fl_lossy,f_auto,q_auto/298d8bc1ce272d292e5a135f1ffef942 | https://instamart-media-assets.swiggy.com/swiggy/image/upload/fl_lossy,f_auto,q_auto/7c402f6d8483c6b680dd72f8b14e8e46 | https://instamart-media-assets.swiggy.com/swiggy/image/upload/fl_lossy,f_auto,q_auto/b6fd65ba9853b8762a39e950b7abad7050689myfitness-high-protein-dark-chocolate-peanut-butter-smooth-tasty-nut-butter-spread-gluten-free599{"dimensions": {"length_in_cm": 2000, "width_in_cm": 1, "height_in_cm": 1, "volume_in_cc": 2000}, "disclaimer": "Country Of Origin: India. The Shelf life of this product is 365 days from the date of manufacture or packed by.The image(s) shown are representative of the actual product. While every effort has been made to maintain accurate and up to date product related content, it is recommended to read product labels, batch and manufacturing/packing details along with warnings and directions before using or consuming a packed product. For other products or any additional information, please contact the seller and in case you wish to contact the manufacturer/packer, the address mentioned on the product label should be used.", "quantity_with_combo": "1 kg"}INRK0D81W05OYMyFitness High Protein Dark Chocolate Peanut Butter Smooth Tasty Nut Butter Spread | Gluten FreeHigh Protein Dark Chocolate Peanut Butter Smooth Tasty Nut Butter Spread | Gluten Freehttps://www.swiggy.com/instamart/item/K0D81W05OY?storeId=9110321 kg5600022025-03-04 06:00:220out of stock Property bearing no 449/25/01, H Siddaiah Road, Wilson Garden, Bangalore - 5600272.02501E+1691103212.956809,77.585872-12.963520777.58210621000
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Flexible-Data-Delivery

Flexible Data Delivery

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

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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
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  • 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
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  • Customized Frequencies to Suit You
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Why Choose Actowiz Solutions’ Datasets?

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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

Swiggy Instamart datasets typically refer to datasets that contain information related to Amazon's grocery delivery and pickup service, Swiggy Instamart. Swiggy Instamart 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 Swiggy Instamart. They are valuable for market analysis, consumer behavior research, and operational insights within the online grocery sector.
Choosing Swiggy Instamart 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, Swiggy Instamart 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 Swiggy Instamart product availability scraping enables efficient access to robust data sources that facilitate informed decision-making and strategic planning.
Accessing Swiggy Instamart data through Actowiz Solutions involves leveraging platforms or services that aggregate and provide e-commerce data. We offer Swiggy Instamart promotional offers scraping services with access to comprehensive datasets, including Swiggy Instamart, for detailed market analysis and consumer behavior insights. Data marketplaces also facilitate purchasing datasets from various e-commerce platforms, potentially including Swiggy Instamart, 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

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Thomas Galido
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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
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
Aug 18, 2025

Monthly API Insights for Quick Commerce Startups – Real-Time Data & Performance Metrics

Get Monthly API Insights for Quick Commerce Startups, tracking real-time performance, data trends, and analytics to optimize growth and operational efficiency.

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How Daily Grocery Dataset Updates for Startup Transformed a Grocery Business in Faridabad

Discover how Daily Grocery Dataset Updates for Startup helped a Faridabad grocery business boost pricing accuracy, inventory management, and competitive market positioning.

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Weekly Tracking of Job Role Demand via Indeed & LinkedIn in Chicago

weekly tracking of job role demand via Indeed & LinkedIn in Chicago, analyzing hiring trends, role popularity, and market demand shifts.

Aug 18, 2025

Monthly API Insights for Quick Commerce Startups – Real-Time Data & Performance Metrics

Get Monthly API Insights for Quick Commerce Startups, tracking real-time performance, data trends, and analytics to optimize growth and operational efficiency.

Aug 17, 2025

Scraping Government Portals in India - Opportunities, Compliance, and Best Practices

Explore Scraping Government Portals in India, uncover opportunities, ensure compliance, and leverage data for insights while following legal and ethical best practices.

Aug 16, 2025

Grocery Discount Tracking on Instacart for Competitive Pricing

Actowiz Solutions tracks Instacart grocery discounts in real time to help brands, retailers, and analysts optimize competitive pricing strategies.

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How Daily Grocery Dataset Updates for Startup Transformed a Grocery Business in Faridabad

Discover how Daily Grocery Dataset Updates for Startup helped a Faridabad grocery business boost pricing accuracy, inventory management, and competitive market positioning.

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How to Scrape Integrate Vivino Wine Data to Improve Product Matching for an Alcohol Marketplace

Discover how alcohol marketplaces boost accuracy with our Case Study - Scrape Integrate Vivino Wine Data, improving product matching, discovery, and conversions.

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Scrape Zepto Sales Data to Inform Quick Commerce Expansion Strategy in Mumbai

Discover how Actowiz Solutions used Case Study - Scrape Zepto Sales Data to unlock insights, guiding quick commerce expansion strategies in Mumbai for higher growth.

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Weekly Tracking of Job Role Demand via Indeed & LinkedIn in Chicago

weekly tracking of job role demand via Indeed & LinkedIn in Chicago, analyzing hiring trends, role popularity, and market demand shifts.

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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.

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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.