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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] => 216.73.216.24
                    [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
                )

            [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] => 216.73.216.24
                    [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 ▼

How to Scrape Google Shopping & Marketplace Data for Pricing Insights?

March 13, 2025
How-Can-Real-Estate-Data-Scraping-Help-Maximize-Investment-Opportunities

Introduction

In today’s competitive e-commerce landscape, businesses need real-time pricing insights to stay ahead. Extracting data from Google Shopping, Facebook Marketplace, Shopee, and other online marketplaces helps businesses monitor competitor prices, analyze trends, and optimize their strategies for better conversions.

In this guide, we will explore how to scrape Google Shopping & Marketplace data, the benefits of web scraping for pricing insights, and how Actowiz Solutions can provide the best scraping solutions for your business.

Why Scrape Google Shopping & Marketplace Data?

Why-Scrape-Google-Shopping-&-Marketplace-Data

In today's competitive eCommerce landscape, web scraping plays a crucial role in price intelligence and competitive analysis. Businesses can extract valuable insights from Google Shopping, Facebook Marketplace, and platforms like Shopee to gain an edge over competitors.

Key Benefits of Google Shopping & Marketplace Data Scraping
  • ✔ Track Competitor Pricing – Monitor and adjust prices dynamically using real-time data from Google Shopping and Shopee scraper tools. Stay competitive by analyzing market trends.
  • ✔ Monitor Discounts & Offers – Identify competitor discounts and special promotions. Businesses can use web scraping to ensure they never miss a price drop.
  • ✔ Analyze Customer Sentiment – Extract product reviews and ratings to understand customer preferences. Sentiment analysis on user feedback can improve product positioning and customer engagement.
  • ✔ Identify Top-Selling Products – Discover trending products across Google Shopping, Facebook Marketplace, and Shopee. Scraping product data helps businesses stock high-demand items.
  • ✔ Optimize Advertising Campaigns – Leverage pricing insights to fine-tune Google Ads and other paid campaigns. Competitive pricing increases ROI and conversion rates.
How to Scrape Google Shopping & Marketplace Data?

To extract valuable data, businesses use Python-based tools like:

  • Scrape Google Search Results Python – Automate Google Shopping data extraction with Python libraries like BeautifulSoup and Scrapy.
  • Scrape Facebook Marketplace – Collect marketplace listings, pricing, and seller details for in-depth analysis.
  • Shopee Scraper – Gather product prices, availability, and customer reviews to refine eCommerce strategies.

By implementing Google Shopping scraping and marketplace data extraction, businesses can make data-driven decisions and stay ahead in the dynamic eCommerce industry.

Key Market Statistics for 2025

Key-Market-Statistics-for

E-commerce growth is at an all-time high, and businesses need data-driven strategies to thrive. Here are some key 2025 market insights:

Metric Value (2025 Projection)
Global E-commerce Sales $7.5 Trillion
Google Shopping Ad Spend $68 Billion
Shopee Monthly Users 350 Million
Facebook Marketplace Listings 1.2 Billion
Dynamic Pricing Usage in E-commerce 82% of Retailers

These stats highlight the importance of data scraping for pricing insights to stay competitive in the fast-evolving market.

Unlock competitive pricing, track discounts, and analyze trends with Google Shopping & Marketplace scraping! Stay ahead—start extracting data today!
Let’s Start

How to Scrape Google Shopping for Pricing Insights?

How-to-Scrape-Google-Shopping-for-Pricing-Insights

Extracting pricing insights from Google Shopping allows businesses to optimize their pricing strategies and stay competitive. Here's how you can efficiently scrape Google Shopping for valuable pricing data.

1. Understanding Google Shopping Data Structure

Google Shopping presents product information in a structured format, including:

  • ✔ Product Name – Helps in identifying trending and best-selling items.
  • ✔ Price (including discounts & offers) – Crucial for competitive pricing and price intelligence.
  • ✔ Seller Details – Understand which sellers dominate specific product categories.
  • ✔ Customer Reviews & Ratings – Analyze consumer sentiment and product demand.
  • ✔ Product Images – Useful for product listing optimization and competitor benchmarking.
2. Tools & Technologies for Google Shopping Scraping

To efficiently scrape Google Shopping, use Python-based web scraping tools, including:

  • ✔ BeautifulSoup – Extract and parse HTML content from Google Shopping pages.
  • ✔ Selenium – Automate browser interactions for JavaScript-heavy pages.
  • ✔ Scrapy – A powerful framework for large-scale Google Shopping data extraction.
  • ✔ Actowiz Solutions’ Custom Scrapers – AI-powered tools designed for Google Shopping scraping with accuracy and efficiency.

Other scrapers can also help businesses analyze online marketplaces:

  • Scrape Google Search Results Python – Automate Google search and shopping result extraction.
  • Scrape Facebook Marketplace – Extract product listings and pricing insights from Facebook Marketplace.
  • Shopee Scraper – Collect product prices, seller details, and customer reviews from Shopee.
3. Python Code Example: Scraping Google Search Results
Python-Code-Example-Scraping-Google-Search-Results

Here’s a simple Python script using BeautifulSoup to extract product names and prices from Google Shopping:

This script fetches Google Shopping search results and extracts product names and prices.

Google Shopping scraping is a powerful method for gaining insights into pricing trends, competitor strategies, and product demand. Whether you're tracking price fluctuations, analyzing Facebook Marketplace, or using a Shopee scraper, web scraping tools enable data-driven decision-making in eCommerce.

Extract real-time pricing insights from Google Shopping to stay competitive! Start scraping today and optimize your eCommerce strategy!
Contact Us

How to Scrape Facebook Marketplace for Pricing Insights?

How-to-Scrape-Facebook-Marketplace-for-Pricing-Insights

Facebook Marketplace is a rapidly expanding e-commerce platform with millions of product listings. Businesses can extract valuable data to track local competitor pricing, analyze product trends, and optimize resale strategies. By scraping Facebook Marketplace, sellers can make data-driven decisions to stay competitive.

Why Scrape Facebook Marketplace?
  • ✔ Track Local Competitor Pricing – Understand price variations in different regions.
  • ✔ Identify Trending Products – Discover fast-selling items to optimize inventory.
  • ✔ Analyze Seller Strategies – Compare listing patterns, descriptions, and promotions.
  • ✔ Improve Resale & Arbitrage – Spot profitable product categories for reselling.
Steps to Scrape Facebook Marketplace
1. Use Selenium for Dynamic Page Extraction

Facebook Marketplace loads dynamically, making Selenium an ideal tool for scraping. It automates browser interactions, extracts product listings, and navigates through pagination to collect comprehensive data.

2. Utilize Facebook’s Graph API (If Available)

If you have access to Facebook’s Graph API, it provides structured data on Marketplace listings, including prices, descriptions, and seller details. However, API access is limited and may require permissions.

3. Deploy Actowiz Solutions’ Facebook Marketplace Scraper

For seamless data extraction, Actowiz Solutions offers an advanced Facebook Marketplace scraper that efficiently collects product details, pricing insights, and seller information.

Other Useful Scrapers for eCommerce Insights
  • Scrape Google Search Results Python – Extract product pricing from Google Shopping.
  • Shopee Scraper – Gather competitor pricing and customer sentiment from Shopee.

By leveraging Facebook Marketplace scraping, businesses can monitor market trends, adjust pricing strategies, and improve sales performance. Whether using Selenium, Graph API, or a custom scraper, extracting Marketplace data helps businesses gain a competitive edge in local and online eCommerce markets.

Scraping Shopee Data for Competitive Pricing Insights

Scraping-Shopee-Data-for-Competitive-Pricing-Insights

Shopee is one of the most popular online marketplaces, especially in Southeast Asia, with millions of active sellers and buyers. Extracting Shopee data allows businesses to analyze market trends, monitor competitor pricing, and optimize their pricing strategies for better sales and profitability.

Why Scrape Shopee Data?
  • ✔ Monitor Competitor Pricing – Track product prices across different regions and sellers.
  • ✔ Track Flash Sales & Discounts – Stay ahead of limited-time promotions and price drops.
  • ✔ Identify Best-Selling Products – Discover trending items across various categories.

By collecting real-time Shopee data, businesses can make informed decisions, improve sales strategies, and enhance customer engagement.

Using a Shopee Scraper for Data Extraction

A Shopee Scraper enables businesses to extract crucial data points, including:

  • ✔ Product Details – Name, description, price, and seller information.
  • ✔ Reviews & Ratings – Perform sentiment analysis on customer feedback.
  • ✔ Inventory Levels – Track stock availability and competitor supply.
  • ✔ Promotional Offers – Extract flash sale prices and discount trends.

With the right Shopee scraping tools, businesses can automate data collection and optimize their pricing models based on market trends.

Actowiz Solutions' Shopee Scraper

Actowiz Solutions offers a powerful Shopee Scraper for real-time product, pricing, and seller data extraction. This AI-powered solution provides accurate insights to help businesses stay competitive.

Other Useful Scrapers for eCommerce Analysis
  • Scrape Google Search Results Python – Extract pricing and product details from Google Shopping.
  • Scrape Facebook Marketplace – Gather local competitor pricing and listings from Facebook Marketplace.

By leveraging Shopee data scraping, businesses can optimize pricing strategies, monitor market trends, and gain a competitive edge in the ever-growing eCommerce landscape.

How Actowiz Solutions Can Help?

Extracting Google Shopping, Facebook Marketplace, and Shopee data manually can be complex due to frequent website updates, CAPTCHA restrictions, and anti-bot mechanisms. Actowiz Solutions offers advanced, AI-powered web scraping solutions to automate data extraction efficiently.

Why Choose Actowiz Solutions?
  • ✔ Custom-Built Scrapers – Tailored solutions for Google Shopping, Shopee & Facebook Marketplace.
  • ✔ Real-Time Data Extraction – Access updated pricing, stock, and competitor insights.
  • ✔ Data Accuracy & Compliance – Ethically scrape and structure data with legal compliance.
  • ✔ Cloud-Based Scraping Solutions – High-speed and scalable data extraction.
  • ✔ API Integration – Seamlessly integrate extracted data into your analytics platform.

Our cutting-edge scrapers enable businesses to gain valuable pricing insights and make data-driven decisions for improved profitability.

Conclusion

Web scraping is a game-changer for e-commerce businesses looking to optimize their pricing strategies. Whether you need to scrape Google Shopping, Facebook Marketplace, or Shopee, extracting real-time data can help you stay ahead of competitors, improve marketing efforts, and boost sales.

Want to leverage pricing insights for your business? Contact Actowiz Solutions today and get a customized web scraping solution tailored to your needs! You can also reach us for all your mobile app scraping, data collection, web scraping , and instant data scraper service requirements!

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] => 216.73.216.24
                    [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
                )

            [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] => 216.73.216.24
                    [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
)

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Product Manager, 24Mantra Organic

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Aarav Shah, Senior Data Analyst, Mensa Brands

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Business Development Lead,Organic Tattva

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“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

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stock tracking across SKUs

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in 6 hrs across Lel.6

Appzon AirPdos Pro

Price
Drop −12 thr

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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

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

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US Electronics Seller (Amazon - Walmart)

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

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

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How to Scrape The Whisky Exchange UK Discount Data to Track 95% of Real-Time Whiskey Deals Efficiently?

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Web Scraping Whole Foods Promotions and Discounts Data to Optimize Grocery Pricing Strategies

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How Automated Data Extraction from Sainsbury’s for Stock Monitoring Improved Product Availability & Supply Chain Efficiency

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