×

GeoIp2\Model\City Object
(
    [raw:protected] => Array
        (
            [city] => Array
                (
                    [geoname_id] => 4744870
                    [names] => Array
                        (
                            [de] => Ashburn
                            [en] => Ashburn
                            [es] => Ashburn
                            [fr] => Ashburn
                            [ja] => アッシュバーン
                            [pt-BR] => Ashburn
                            [ru] => Ашберн
                            [zh-CN] => 阿什本
                        )

                )

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

                )

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

                )

            [location] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.0469
                    [longitude] => -77.4903
                    [metro_code] => 511
                    [time_zone] => America/New_York
                )

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

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

                )

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

                        )

                )

            [traits] => Array
                (
                    [ip_address] => 18.97.14.85
                    [prefix_len] => 18
                )

        )

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

                )

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

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

        )

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

                )

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

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

        )

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

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

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

        )

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

                )

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

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

        )

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

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

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

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 18.97.14.85
                    [prefix_len] => 18
                    [network] => 18.97.0.0/18
                )

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

                )

            [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] => 39.0469
                    [longitude] => -77.4903
                    [metro_code] => 511
                    [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] => 20149
                )

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

        )

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

                        )

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

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

                )

        )

)

 country : United States

 city : Ashburn

US

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

Introduction: The Rise of Hyperlocal Intelligence

In the rapidly evolving retail landscape, real-time data is power—especially in the competitive Fast-Moving Consumer Goods (FMCG) sector. From supermarkets and convenience stores to eCommerce platforms and Q-commerce players, businesses rely on dynamic market insights to fine-tune pricing strategies, track competitor moves, monitor inventory, and anticipate consumer preferences.

That’s where FMCG Data Scraping Services come in. For enterprises operating in or targeting the USA FMCG market, partnering with a leader like Actowiz Solutions provides a game-changing edge. With intelligent scraping solutions tailored to the American retail ecosystem, Actowiz helps brands, retailers, and analytics firms extract and act on valuable FMCG data at scale.

What is FMCG Data Scraping?

FMCG data scraping refers to the automated extraction of structured information from websites, mobile apps, online marketplaces, and digital catalogs related to consumer-packaged goods. This includes products like food, beverages, toiletries, cleaning supplies, over-the-counter meds, and more.

Key FMCG data points include:

• Product names and SKUs
• Brands and manufacturers
• Prices and discounts
• Package sizes and weight
• Availability and stock levels
• Consumer reviews and ratings
• Shelf placement (for online stores)
• Time-sensitive promotions

Why the USA FMCG Market Needs Data Scraping

The USA is one of the largest and most fragmented FMCG markets in the world, with thousands of brands competing across multiple channels—physical retail, D2C platforms, Q-commerce, and marketplaces like Amazon, Walmart, Target, Instacart, and Costco.

Here's why FMCG data scraping is essential for U.S. businesses:

Use Case	Impact
Competitor Price Monitoring	Benchmark prices daily from Walmart, Target, and Kroger to stay competitive.
Product Launch Intelligence	Track new FMCG SKUs, seasonal items, and regional launches.
Inventory Visibility	Scrape out-of-stock data to optimize demand forecasting.
Promotion & Discount Analysis	Extract time-limited offers across online FMCG retailers.
Q-commerce Optimization	Analyze Blinkit, Instacart, or Gopuff delivery zones, prices, and delivery windows.
Shelf Share Analytics (Online)	Analyze how product listing and visuals vary by category and platform.

Sample Chart: Daily Price Tracking for Top 5 Beverages (Walmart.com)

Here's a simulated example of daily price scraping from Walmart.com for five popular beverages over a 7-day period.

Product Name	Day 1	Day 2	Day 3	Day 4	Day 5	Day 6	Day 7
Coca-Cola (12-pack)	$6.99	$6.49	$6.49	$6.49	$6.99	$7.29	$6.99
Pepsi (12-pack)	$6.79	$6.79	$6.49	$6.49	$6.49	$6.79	$6.79
Gatorade (6-pack)	$5.49	$5.29	$5.29	$5.29	$5.29	$5.49	$5.29
Red Bull (4-pack)	$7.99	$8.49	$8.49	$8.29	$7.99	$8.29	$8.49
Monster Energy (4-pk)	$6.99	$6.99	$6.49	$6.49	$6.49	$6.79	$6.99

Insights:

• Frequent mid-week promotions.
• Red Bull’s volatility could be linked to promotional campaigns.
• Coca-Cola has price stability on weekends.

How Actowiz Solutions Powers FMCG Data Extraction in the USA

Actowiz Solutions is at the forefront of intelligent FMCG data scraping and retail analytics in the United States. Here’s how their services unlock data-driven decisions for brands and retailers:

1. End-to-End Data Pipeline

Actowiz offers a full pipeline—from web crawling and extraction to cleaning, structuring, and delivering data via API, dashboard, or CSV.

2. Platform Coverage

Extract data from major U.S. retailers and platforms:

• Retailers: Walmart, Target, Costco, Kroger, CVS, Walgreens
• Marketplaces: Amazon, eBay, Instacart, Boxed
• Q-commerce: Gopuff, DoorDash, Uber Eats (Grocery)

3. Real-Time & Scheduled Crawling

Customizable crawl frequencies (hourly, daily, weekly) help monitor fast-changing prices, stockouts, and discounts.

4. Intelligent Matching & Product Normalization

Standardizes product naming, packaging sizes, and UPC codes across retailers for precise comparisons.

5. Category Coverage

Actowiz supports data scraping across categories like:

• Beverages
• Snacks
• Health & Beauty
• Home Cleaning
• Baby & Personal Care
• OTC Healthcare

Real-World Use Cases by Industry

Retailers

Goal: Monitor prices across competitors like Walmart, Target, and Amazon to dynamically adjust pricing strategies.

Actowiz Impact: Retailers saw 12% increase in price-match conversions after implementing scraped competitor price feeds.

FMCG Brands

Goal: Analyze online shelf visibility, customer reviews, and stock presence across platforms

Actowiz Impact: One major food brand used review sentiment scraped from Amazon and Instacart to improve product formulations.

Supply Chain & Inventory Teams

Goal: Forecast demand by tracking out-of-stock alerts in various regions.

Actowiz Impact: A U.S. distribution company reduced inventory holding costs by 18% using real-time availability data.

Market Research Firms

Goal: Provide accurate retail audits, price benchmarking, and brand share data.

Actowiz Impact: Automated scraping replaced manual mystery shopping and catalog research, saving 100+ hours monthly.

Challenges in FMCG Data Scraping (And How Actowiz Overcomes Them)

Challenge	Actowiz’s Solution
Dynamic content & JavaScript rendering	Headless browsers & smart renderers
CAPTCHA, IP bans	Proxy rotation & human-like crawling
Product duplication issues	AI-based product matching & deduplication
Ever-changing retailer layouts	Adaptive scraping with ML-driven parsers

Sample Dataset Snapshot (FMCG Beverage Category – Walmart USA)

Product Name	Brand	Size	Price	Availability	Rating
Coca-Cola 12-pack	Coca-Cola	12x355ml	$6.99	In Stock	4.8
Pepsi 12-pack	Pepsi	12x355ml	$6.49	In Stock	4.6
Gatorade Orange	Gatorade	6x500ml	$5.29	Low Stock	4.5
Red Bull Classic	Red Bull	4x250ml	$8.49	In Stock	4.7

Benefits of Partnering with Actowiz Solutions

✔ Fast Turnaround

Quick setup and deployment tailored to your SKU and category needs.

✔ Customized Dashboards

Visualize trends in pricing, inventory, reviews, and more with Actowiz’s reporting tools.

✔ Compliance-Focused

Ethical, legally-compliant scraping practices aligned with U.S. data policies.

✔ Scalable Infrastructure

Handles millions of products daily—ideal for nationwide retail tracking.

The Future of FMCG Data Intelligence

As U.S. consumers increasingly shift to online grocery shopping and q-commerce channels, the role of data becomes even more central. FMCG brands that invest in automated market intelligence will lead the pack in innovation, efficiency, and customer satisfaction.

With Actowiz Solutions by your side, you’re not just scraping data—you’re building insights that drive smarter, faster, and bolder decisions.

Conclusion

The FMCG sector in the United States is more dynamic and data-driven than ever before. Whether you're a legacy retailer, a startup brand, or a data intelligence company, access to real-time product, pricing, and inventory data is no longer optional—it’s essential.

Actowiz Solutions offers unmatched FMCG data scraping services tailored to the nuances of the U.S. retail environment. With the ability to extract granular, timely, and structured data across major platforms, Actowiz empowers businesses to innovate and scale faster.

GeoIp2\Model\City Object
(
    [raw:protected] => Array
        (
            [city] => Array
                (
                    [geoname_id] => 4744870
                    [names] => Array
                        (
                            [de] => Ashburn
                            [en] => Ashburn
                            [es] => Ashburn
                            [fr] => Ashburn
                            [ja] => アッシュバーン
                            [pt-BR] => Ashburn
                            [ru] => Ашберн
                            [zh-CN] => 阿什本
                        )

                )

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

                )

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

                )

            [location] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.0469
                    [longitude] => -77.4903
                    [metro_code] => 511
                    [time_zone] => America/New_York
                )

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

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

                )

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

                        )

                )

            [traits] => Array
                (
                    [ip_address] => 18.97.14.85
                    [prefix_len] => 18
                )

        )

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

                )

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

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

        )

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

                )

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

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

        )

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

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

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

        )

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

                )

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

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

        )

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

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

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

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 18.97.14.85
                    [prefix_len] => 18
                    [network] => 18.97.0.0/18
                )

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

                )

            [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] => 39.0469
                    [longitude] => -77.4903
                    [metro_code] => 511
                    [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] => 20149
                )

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

        )

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

                        )

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

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

                )

        )

)

 country : United States

 city : Ashburn

US

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

Start Your Project

+1 ▼

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

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

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

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

Additional Trust Elements

✨ "1000+ Projects Delivered Globally"

⭐ "Rated 4.9/5 on Google & G2"

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

💬 "Average Response Time: Under 12 hours"

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape → Structure → Analyze → Visualize

Explore Solutions Get a Custom Demo

Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.

Find Insights Use AI to connect data points and uncover market changes. Meanwhile.

Move Forward Predict demand, price shifts, and future opportunities across geographies.

Ecommerce

Q-Commerce

Travel & OTA

Food Delivery

Real Estate

Social Media

Trusted by Global Leaders – Secured by International Standards

Industry:

Coffee / Beverage / D2C

Result

2x Faster

Smarter product targeting

★★★★★

“Actowiz Solutions has been instrumental in optimizing our data scraping processes. Their services have provided us with valuable insights into our customer preferences, helping us stay ahead of the competition.”

Operations Manager, Beanly Coffee

✓ Competitive insights from multiple platforms

Industry:

Real Estate

Result

2x Faster

Real-time RERA insights for 20+ states

★★★★★

“Actowiz Solutions provided exceptional RERA Website Data Scraping Solution Service across PAN India, ensuring we received accurate and up-to-date real estate data for our analysis.”

Data Analyst, Aditya Birla Group

✓ Boosted data acquisition speed by 3×

Industry:

Organic Grocery / FMCG

Result

Improved

competitive benchmarking

★★★★★

“With Actowiz Solutions' data scraping, we’ve gained a clear edge in tracking product availability and pricing across various platforms. Their service has been a key to improving our market intelligence.”

Product Manager, 24Mantra Organic

✓ Real-time SKU-level tracking

Industry:

Quick Commerce

Result

2x Faster

Inventory Decisions

★★★★★

“Actowiz Solutions has greatly helped us monitor product availability from top three Quick Commerce brands. Their real-time data and accurate insights have streamlined our inventory management and decision-making process. Highly recommended!”

Aarav Shah, Senior Data Analyst, Mensa Brands

✓ 28% product availability accuracy

✓ Reduced OOS by 34% in 3 weeks

Industry:

Quick Commerce

Result

3x Faster

improvement in operational efficiency

★★★★★

“Actowiz Solutions' data scraping services have helped streamline our processes and improve our operational efficiency. Their expertise has provided us with actionable data to enhance our market positioning.”

Business Development Lead,Organic Tattva

✓ Weekly competitor pricing feeds

Industry:

Beverage / D2C

Result

Faster

Trend Detection

★★★★★

“The data scraping services offered by Actowiz Solutions have been crucial in refining our strategies. They have significantly improved our ability to analyze and respond to market trends quickly.”

Marketing Director, Sleepyowl Coffee

Boosted marketing responsiveness

Industry:

Quick Commerce

Result

Enhanced

stock tracking across SKUs

★★★★★

“Actowiz Solutions provided accurate Product Availability and Ranking Data Collection from 3 Quick Commerce Applications, improving our product visibility and stock management.”

Growth Analyst, TheBakersDozen.in

✓ Improved rank visibility of top products

Trusted by Industry Leaders Worldwide

Real results from real businesses using Actowiz Solutions

★★★★★

'Great value for the money. The expertise you get vs. what you pay makes this a no brainer"

Thomas Galido

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

2 min

★★★★★

“I strongly recommend Actowiz Solutions for their outstanding web scraping services. Their team delivered impeccable results with a nice price, ensuring data on time.”

Iulen Ibanez

CEO / Datacy.es

1 min

★★★★★

“Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing highly recommended!”

Febbin Chacko

-Fin, Small Business Owner

1 min

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

Blinkit (Delhi NCR)

In Stock
₹524

Amazon USA

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

Appzon AirPdos Pro

Price
Drop −12 thr

Zepto (Mumbai)

Improved inventory
visibility & 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

Nov 14, 2025

How to Extract Real-Time Flight & Hotel Price Data from Expedia & Booking.com for Travel Market Insights?

Learn how to extract real-time flight and hotel price data from Expedia and Booking.com to gain travel market insights, optimize pricing strategies, and track trends effectively.

Competitive Analysis Using Scraping McDonald’s Location and Review Data for QSR Insights

Analyzing McDonald’s locations and reviews via web scraping to uncover competitive insights and trends in the quick-service restaurant (QSR) industry.

Dark Store Location Optimization - Data-Driven Strategy Explained

Uncover how data-driven strategies optimize dark store locations, boosting quick commerce efficiency, reducing costs, and improving delivery speed.

Enhancing Airline Operations via Airline Data Scraping from OTAs – Real-Time Insights from Expedia, Priceline, Orbitz, Travelocity, and Kayak

Discover how Airline Data Scraping from OTAs like Expedia, Priceline, Orbitz provides real-time insights to improve airline service quality and operational efficiency.

Nov 14, 2025

How to Extract Real-Time Flight & Hotel Price Data from Expedia & Booking.com for Travel Market Insights?

Learn how to extract real-time flight and hotel price data from Expedia and Booking.com to gain travel market insights, optimize pricing strategies, and track trends effectively.

Nov 13, 2025

How Retailers Use Supermarket Data Scraping to Track 15% Average Price Fluctuations Across Categories

Discover how Supermarket Data Scraping helps retailers track 15% average price fluctuations across categories, optimize pricing strategies, and gain a competitive edge in real-time.

Nov 13, 2025

Real-Time Grocery Price Comparison - BigBasket, Zepto & Blinkit Show 12% Variation in Daily Essentials Pricing

Discover how Real-Time Grocery Price Comparison across BigBasket, Zepto, and Blinkit reveals a 12% variation in daily essentials prices, helping shoppers save smartly.

Read More

Competitive Analysis Using Scraping McDonald’s Location and Review Data for QSR Insights

Analyzing McDonald’s locations and reviews via web scraping to uncover competitive insights and trends in the quick-service restaurant (QSR) industry.

Scrape Medicine Prices & Product Availability - Monitoring 1mg & NetMeds Apps Across Cities for Real-Time Market Insights

Discover how Scrape Medicine Prices & Product Availability from 1mg and NetMeds helps monitor real-time pricing, stock levels, and pharma market trends across cities.

Automating Financial Intelligence - Scraping Robinhood & Zerodha Apps to Monitor Stock Prices and Trading Behavior

Discover how Scraping Robinhood & Zerodha Apps automates financial intelligence to track stock prices, analyze investment patterns, and monitor market movement.

Read More

Dark Store Location Optimization - Data-Driven Strategy Explained

Uncover how data-driven strategies optimize dark store locations, boosting quick commerce efficiency, reducing costs, and improving delivery speed.

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.

Read More

Enhancing Airline Operations via Airline Data Scraping from OTAs – Real-Time Insights from Expedia, Priceline, Orbitz, Travelocity, and Kayak

Discover how Airline Data Scraping from OTAs like Expedia, Priceline, Orbitz provides real-time insights to improve airline service quality and operational efficiency.

Grocery Intelligence — U.S. Online Grocery Product Mapping Report 2025

Explore Grocery Intelligence insights in the U.S. Online Grocery Product Mapping Report 2025 by Actowiz Solutions — SKU trends, pricing gaps, and platform accuracy.

Analyzing Quick Commerce Price Dynamics in India - Zepto vs Blinkit vs Swiggy Instamart

Analyzing Quick Commerce Price Dynamics in India: Compare Zepto, Blinkit, and Swiggy Instamart to track pricing trends and insights.

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

Our Affiliations