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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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(
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                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
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                            [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
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                    [iso_code] => US
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                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
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                    [longitude] => -83.0061
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            [postal] => Array
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            [registered_country] => Array
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                            [ru] => США
                            [zh-CN] => 美国
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                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
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            [traits] => Array
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    [continent:protected] => GeoIp2\Record\Continent Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [geoname_id] => 6255149
                    [names] => Array
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                            [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
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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        )

    [country:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
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                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
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                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
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            [validAttributes:protected] => Array
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                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [locales:protected] => Array
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        )

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

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

        )

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

        )

    [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
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                    [ip_address] => 216.73.216.103
                    [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
                        (
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                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
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            [validAttributes:protected] => Array
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                    [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
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => 43215
                )

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

    [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
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                            [0] => en
                        )

                    [validAttributes:protected] => Array
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                            [1] => geonameId
                            [2] => isoCode
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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
)

Understanding Raksha Bandhan 2025

Raksha Bandhan 2025 fell on August 9, Saturday, during the full moon (Shravana Purnima). With two major festivals (Raksha Bandhan and Independence Day) falling in close succession, the first half of August created twin long weekends—significantly amplifying festive demand.

Market Overview

In 2025, total retail spending around Raksha Bandhan is projected at ₹17,000 crore, up dramatically from ₹3,000 crore in 2018—a six fold surge in 7 years. India’s quick commerce market, estimated at $3.34 billion in 2024, is set to cross ₹5.5 billion by end 2025, growing at a CAGR of ~24 60%. Q commerce is now delivering essentials in 10–30 minutes, and handles ~45–46% of grocery GMV via Blinkit, Zepto, Instamart.

Role of Q‑Commerce in Rakhi Gifting

Speed & Convenience

Q commerce platforms reshaped Rakhi shopping with super fast deliveries. Blinkit reportedly moved 693 rakhis per minute during peak Rakhi eve in 2024, with Zepto and Instamart scaling massive SKU counts—even doubling offerings ahead of festivals. Instant gifting became possible up to 8 PM on Rakhi Day—unimaginable in traditional e commerce.

SKU Explosion & Consumer Reach

Platforms doubled their SKUs ahead of the festival, offering diverse sweets, combinations, and branded gifts across metros and Tier 2/3 cities. Non metro cities like Indore, Lucknow, Patna now account for ~50% of online Rakhi orders.

Actowiz Solutions Solutions: How We Captured the Insights

Actowiz Solutions deployed its proprietary real time Q commerce scraper APIs to monitor platforms like Blinkit, Zepto, and Instamart, capturing SKU level data across metro and Tier 2 Indian cities (Delhi, Mumbai, Bengaluru, Ahmedabad, Lucknow, Indore, Patna).

Data captured hourly from Aug 7–9, 2025 included:

• Product name & description
• Price (MRP & discounted)
• Stock status
• Category & subcategory
• Listing frequency & ranking
• Customer ratings
• Delivery ETA
• Promotional tags (“Raksha Special”, “Last‑Minute”)

This enabled geo‑tagged trends, fast-moving product detection, restock analysis, and demand surges.

Category Spotlight: Rakhi Gift Winners on Q‑Commerce

Chocolates – Old Favorite, New Heights

Lux chocolates remained top sellers: Ferrero Rocher, Cadbury Celebrations, Lindt, Hershey’s. Premium chocolate combos—often paired with rakhis or cards—bested simple bundles.

Sample data (Mumbai):

Product	MRP	Price	Discount	Platform	Delivery	Rank
Ferrero Rocher 24‑pk	₹999	₹849	–15%	Zepto	15 min	#3
Cadbury Celebrations 389 g	₹220	₹195	–11%	Blinkit	10 min	#5
Lindt Swiss Gift Set with Rakhi	₹1250	₹1099	–12%	Blinkit	12 min	#1

In metro cities, chocolate offers listing frequency rose ~26% during Rakhi week.

Dry Fruits – Health Meets Premium Gifting

Dry fruits—especially almonds, cashews, pistachios—saw rising demand. Bundles with “free Rakhi” or personalized notes sold particularly well.

Sample data (Delhi):

Product	Net Wt	MRP	Offer	Platform	Stock Status
Happilo Premium Almonds 500g	500g	₹569	–₹60	Zepto	In Stock
Nutraj Rakhi Hamper (4‑in‑1)	800g	₹899	–20%	Blinkit	Fast‑moving
BB Royal Cashews 250g	250g	₹295	–	Instamart	Low Stock

Bundled packs converting 2.2× more than standalone.

Traditional Mithai – Cultural Core of Rakhi

Local sweets like kaju katli, laddoos, soan papdi from brands such as Haldiram’s, Bikanervala, and regional sweet shops remained popular.

Sample data (Ahmedabad):

Product	Weight	MRP	Platform	Rating	Delivery
Haldiram’s Soan Papdi	500g	₹180	Blinkit	4.3	10 min
Ghasitaram Kaju Katli	250g	₹299	Zepto	4.6	15 min
Anand Sweets Laddoo	500g	₹245	Instamart	4.7	25 min

Tier‑1 & Tier‑2 cities saw ~38% uplift in mithai sales during the week.

Quirky & Trendy: Labubu Rakhis & Lumbas

A viral “ugly cute” character called Labubu dominated social media with #LabubuRakhi. Online retailers sold over 1,800 such Lumba Rakhi combos in Delhi Mumbai alone. These colorful, personalized designs attracted Gen Z buyers, boosting impulse buys.

Gift Combos – Convenience & Themes

Combo boxes combining chocolates, dry fruits, sweets, rakhis and puja items offered one shot gifting.

Sample data (Bengaluru):

Combo	Price	Inclusions	Platform	Ratings
Rakhi + Lindt + Almonds Hamper	₹1,149	2 Rakhis, Chocolate, Dry Fruit	Zepto	★★★★☆
Raksha Bandhan Essentials Combo	₹899	Rakhi, Roli‑Chawal, Kaju Katli	Blinkit	★★★★☆
Kids Rakhi + Toy + Sweet Combo	₹699	Toy Rakhi, Laddoo, Stickers	Instamart	★★★☆☆

Sales spiked on Aug 7–8, driven by urgency and “last‑minute delivery” prompts.

Regional Preferences & Geotags (Actowiz Solutions Insights)

By tagging listings with pin codes, Actowiz Solutions mapped category performance per region:

City	Top Category	Notes
Delhi	Traditional Mithai Combos	Local sweets, festive packaging
Mumbai	Premium Chocolate & Dry Fruits	Younger, metro audiences
Bengaluru	Almond Hampers + Mithai	Blend of health & tradition
Ahmedabad	Kaju Katli + Custom Rakhis	Regional tastes & handcrafted styles
Lucknow	Labubu & Quirky Rakhis	Non‑metro viral trends catching up

Non metro cities like Lucknow, Patna, Indore now represent ~50% of online Rakhi orders. Brands can leverage hyper local data to tailor offers by city or pin code—Actowiz Solutions enables precisely that.

Temporal Sales Patterns: Hourly, Daily, Festival Week

• Aug 7–8 (Pre Rakhi): Rising listings, combo deals launch, first discounts.
• Aug 8–9 (Peak): Hourly gift SKU traffic increased ~2.7× vs baseline.
• Aug 9 evening: “Last Minute” promotions drove huge impulse orders.
• Aug 10 onward: Mithai/dry fruit restocks surged; price adjustments (+12% for Kaju Katli) on Aug 10 in some areas Actowiz Solutions Solutions.

Stockouts were constant—Ferrero 24 pc OOS flagged four times; similar alerts for premium mithai combos. Most sold out items triggered flash relists elsewhere.

Actionable Business & Brand Insights with Actowiz Solutions

Geo‑Targeted Campaigns

Use pin code mapping insights to target city specific ad campaigns—e.g. promote Labubu combos in Lucknow & Delhi, mithai in Ahmedabad, chocolate bundles in Mumbai.

Real‑Time Price Monitoring

Competitor discount tracking enables dynamic pricing—brands using Actowiz Solutions pricing alerts saw up to 34% fewer stockouts, and in some cases stock outs dropped 23% in 6 weeks.

Combo Innovation

High-conversion combos with a mix of Rakhi + sweets + dry fruits + puja items. Personalized rakhis or influencer badged packaging help differentiation.

Trend Spotting & Product Timing

Proactively upload Labubu styled quirky rakhis or regional sweets 1 week before festival. Actowiz Solutions data flags rising viral trends in real time.

Hyperlocal Merch Partnerships

Collaborate with local sweet shops or artisans. Listings from local brands like Anand Sweets (Ahmedabad), Ghasitaram (Mumbai) consistently outranked national brands during festival week.

Wider Market Context & Future Growth

Q‑Commerce Explosion

India’s Q commerce field is poised for exponential growth—from ~$3.34 B in 2024 to ~$5.5 B by end 2025, CAGR 24-60%. Blinkit leads with 46% GMV share, Zepto ~29%, Instamart ~27%.

Dark stores rose dramatically—from 24M to 37.6M sq ft by 2027—supporting hyper fast deliveries.

Broader Rakhi Gifting Trends

Apart from food gifts, fashion & beauty gift cards, electronics accessories, and designer items remain popular, especially via Amazon, Flipkart or Nykaa Rakhi offers.

Premium curated gifts (skincare kits, artisanal décor, jewelry) are rising among urban consumers.

Extended Sample Data Visuals (Imagined for Blog)

• Bar chart: Top 5 gift categories by city (e.g. Delhi: mithai combos; Mumbai: chocolate + dry fruit; Lucknow: Labubu + sweets)
• Line graph: Hourly order volume for top selling categories during Aug 7–9
• Table: Prominent offers & discount %, stock out flags, listing rank movement
• Map heat: Non metro vs metro order density

About Actowiz Solutions Solutions

Actowiz Solutions is a leader in real‑time retail intelligence, enabling brands, Q‑commerce platforms, and retailers to:

• Monitor Q‑commerce SKUs by city
• Track price, stock, listing changes hourly
• Detect trend spikes (viral or seasonal)
• Provide pin‑code level demand signals
• Reduce stockouts and optimize promotional timing

Trusted across industries—from FMCG to travel, e‑commerce to food delivery—Actowiz Solutions helps brands scale with data accuracy, speed, and actionable insights The Times of IndiaLinkedIn+6Actowiz Solutions Solutions+6Straits Research+6Straits Research.

Final Thoughts

Raksha Bandhan 2025 crystallized the power of Q‑commerce—where gifting became instantaneous, localized and trend‑driven. Chocolates, dry fruits, mithai and quirky rakhis (like Labubu) led gifting charts across demographic segments. Gift combos combining tradition, personalization and speed emerged as clear winners.

Actowiz Solutions Solutions enabled brands to decode these patterns in real time—driving smarter assortment, pricing, and hyperlocal campaigns. As India's Q‑commerce market continues to scale rapidly, data‑driven festive gifting strategies will be the key differentiator.

Looking ahead—whether it's Diwali, Valentine’s Day or Eid—Actowiz Solutions equips decision‑makers with the tools to predict, respond and prosper.

GeoIp2\Model\City Object
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    [raw:protected] => Array
        (
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                    [geoname_id] => 4509177
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                        (
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                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
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            [continent] => Array
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                    [geoname_id] => 6255149
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                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
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                            [zh-CN] => 北美洲
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                            [ru] => США
                            [zh-CN] => 美国
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            [location] => Array
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                    [longitude] => -83.0061
                    [metro_code] => 535
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            [postal] => Array
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            [registered_country] => Array
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                            [es] => Estados Unidos
                            [fr] => États Unis
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                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
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            [subdivisions] => Array
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                                    [fr] => Ohio
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                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

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            [traits] => Array
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    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
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    [country:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
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                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
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    [locales:protected] => Array
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            [0] => en
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    [maxmind:protected] => GeoIp2\Record\MaxMind Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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            [validAttributes:protected] => Array
                (
                    [0] => queriesRemaining
                )

        )

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

                )

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

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

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

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

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                    [5] => type
                )

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.103
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
                )

            [validAttributes:protected] => Array
                (
                    [0] => autonomousSystemNumber
                    [1] => autonomousSystemOrganization
                    [2] => connectionType
                    [3] => domain
                    [4] => ipAddress
                    [5] => isAnonymous
                    [6] => isAnonymousProxy
                    [7] => isAnonymousVpn
                    [8] => isHostingProvider
                    [9] => isLegitimateProxy
                    [10] => isp
                    [11] => isPublicProxy
                    [12] => isResidentialProxy
                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
                    [16] => mobileNetworkCode
                    [17] => network
                    [18] => organization
                    [19] => staticIpScore
                    [20] => userCount
                    [21] => userType
                )

        )

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

                )

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

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => names
                )

        )

    [location:protected] => GeoIp2\Record\Location Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

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

        )

    [postal:protected] => GeoIp2\Record\Postal Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => 43215
                )

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

        )

    [subdivisions:protected] => Array
        (
            [0] => GeoIp2\Record\Subdivision Object
                (
                    [record:GeoIp2\Record\AbstractRecord:private] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

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

                    [validAttributes:protected] => Array
                        (
                            [0] => confidence
                            [1] => geonameId
                            [2] => isoCode
                            [3] => names
                        )

                )

        )

)

 country : United States

 city : Columbus

US

Array
(
    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
    [asn] => AS16509
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)

Start Your Project

+1 ▼

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 & 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

Request Demo Access

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

Sep 24, 2025

Web Crawling for US Grocery Platforms - Discovering Market Leaders and Key Insights

Explore how web crawling for US grocery platforms reveals market leaders, consumer trends, and key insights shaping the future of online grocery.

Price Comparison Study - How Menu Price Comparison for Swiggy and Zomato Improves Retail Insights

Menu Price Comparison for Swiggy and Zomato: Real-time menu data extraction helps retailers track prices, optimize menus, and gain actionable insights.

Festive Price Surge Tracker: Amazon Fresh vs BigBasket vs JioMart in India

Track how prices of sweets, snacks, and groceries surged across Amazon Fresh, BigBasket, and JioMart during Diwali & Navratri in India with Actowiz festive price insights.

Ride-Hailing Competition in NYC - Uber, Lyft & Yellow Cab Pricing Analysis

Ride-Hailing Price Comparison in NYC - An in-depth analysis of Uber, Lyft, and Yellow Cab fares, highlighting cost trends and competitive insights.

Sep 24, 2025

Web Crawling for US Grocery Platforms - Discovering Market Leaders and Key Insights

Explore how web crawling for US grocery platforms reveals market leaders, consumer trends, and key insights shaping the future of online grocery.

Sep 24, 2025

How Data Scraping for Luxury Retailers Reveals Regional Buying Patterns and Market Insights?

Discover how data scraping for luxury retailers uncovers regional buying patterns, consumer trends, and market insights to drive smarter business decisions.

Sep 24, 2025

How Sephora API for Beauty Market Trends Analysis Helps Brands Forecast Demand with Data and AI Insights?

Discover how Sephora API for beauty market trends analysis, combined with AI insights, helps brands forecast demand and stay ahead of consumer trends.

Read More

Price Comparison Study - How Menu Price Comparison for Swiggy and Zomato Improves Retail Insights

Menu Price Comparison for Swiggy and Zomato: Real-time menu data extraction helps retailers track prices, optimize menus, and gain actionable insights.

Grocery Price Tracking for Blinkit, BigBasket & Zepto - Real-Time Scraping to Optimize Retail Pricing

Grocery Price Tracking for Blinkit, BigBasket & Zepto: Real-time scraping insights to optimize retail pricing, monitor competitors, and boost sales efficiency.

Analyzing Audience Engagement with the MX Player Viewership Dataset - Insights for Content Strategy

Explore audience behavior with the MX Player Viewership Dataset and uncover insights to optimize content strategy and boost viewer engagement effectively.

Read More

Festive Price Surge Tracker: Amazon Fresh vs BigBasket vs JioMart in India

Track how prices of sweets, snacks, and groceries surged across Amazon Fresh, BigBasket, and JioMart during Diwali & Navratri in India with Actowiz festive price insights.

Top 5 Brands Offering Deepest Discounts on Clothes This Navratri

Score big this Navratri 2025! Discover the top 5 brands offering the biggest clothing discounts and grab stylish festive outfits at unbeatable prices.

Top 10 Most Ordered Grocery Items During Navratri 2025

Discover the top 10 most ordered grocery items during Navratri 2025. Explore popular festive essentials for fasting, cooking, and celebrations.

Read More

Ride-Hailing Competition in NYC - Uber, Lyft & Yellow Cab Pricing Analysis

Ride-Hailing Price Comparison in NYC - An in-depth analysis of Uber, Lyft, and Yellow Cab fares, highlighting cost trends and competitive insights.

Unlocking Price Trends – Blinkit vs BigBasket Market Data Analysis 2025 with Comparative Price Intelligence

Discover key insights from Blinkit vs BigBasket Market Data Analysis 2025—unlock price trends and boost growth with comparative price intelligence.

Wine vs. Beer vs. Spirits - Alcohol Consumption Trends in Travel Hubs (NYC, Dubai, London)

Explore Alcohol Consumption Trends in Travel Hubs comparing wine, beer, and spirits in NYC, Dubai, and London with key insights and data analysis.

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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