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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] => 216.73.216.126
                    [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] => 216.73.216.126
                    [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
)
Weekly E-commerce Price Comparison in Amazon India - Trends & Insights-01

Introduction

In today's digital world, data is the backbone of strategic decision-making. Businesses, researchers, and marketers rely on accurate and timely data to gain competitive insights. Web crawlers are indispensable tools for automating this process, enabling organizations to collect structured information from millions of web pages efficiently. In this blog, we explore the Best 5 Web Crawlers in 2025, highlighting their capabilities in scalable data extraction, automation, and real-time analytics. Whether you are tracking competitor pricing, monitoring trends, or gathering industry insights, these tools can transform your data collection strategy.

Understanding Web Crawlers – What They Are and How They Work

Definition and Purpose

A web crawler, also known as a spider or bot, is an automated program designed to navigate the internet and collect information from web pages. Its primary goal is to index and structure data for search engines, analytics tools, and business intelligence platforms.

Systematic Browsing

Crawlers follow hyperlinks on web pages to discover new content and maintain a continuously updated dataset. This eliminates the need for manual data collection and ensures comprehensive coverage of the web.

Data Structuring

Collected data is organized into structured formats such as CSV, JSON, or databases. This makes it easy for analysts, marketers, and researchers to extract insights efficiently.

Handling Complex Websites

Modern websites often contain dynamic content, AJAX requests, or JavaScript-rendered pages. Advanced crawlers can process these complexities, enabling accurate indexing and data capture.

Use Cases
  • Search engine indexing
  • Market research and competitor monitoring
  • Automated pricing and product tracking
  • Analytics for business intelligence
Advantages
  • Reduces errors compared to manual collection
  • Saves time and operational effort
  • Scalable for large websites or multiple domains

By leveraging Web Crawlers list for Data Extraction, businesses can gain a reliable, automated solution for collecting high-quality, structured web data essential for strategic decision-making.

Why Web Crawlers Matter – The Key Role They Play in the Digital World

Backbone of Search Engines: Web crawlers index websites for search engines like Google, Bing, and Yandex, ensuring relevant content is discoverable by users in real time.

Market Intelligence: Crawlers help businesses track competitor activity, pricing trends, promotions, and new product launches across digital marketplaces.

E-commerce Analytics: Retailers rely on crawlers to monitor online catalogs, product availability, discount patterns, and consumer behavior, supporting data-driven pricing and marketing strategies.

Automation and Scalability: Manually monitoring thousands of web pages is impractical. Crawlers automate this process, enabling large-scale, continuous data collection without human intervention.

Data Accuracy and Timeliness: Automated crawlers reduce errors and ensure that datasets remain up-to-date, which is critical for dynamic markets, real-time analytics, and responsive business strategies.

Decision-Making Insights:
  • Identifying market trends and opportunities
  • Understanding competitor strategies
  • Supporting strategic marketing campaigns
  • Enhancing SEO and digital visibility

For organizations leveraging extensive online data, Web Crawlers for Automated Data are essential. They provide accuracy, efficiency, and scalability, transforming raw web content into actionable insights that fuel smarter, faster business decisions.

How to Select the Right Web Crawler for 2025's Data Challenges?

Choosing the right crawler depends on the type of data, volume, and update frequency required. Factors like real-time processing, compatibility with dynamic websites, scheduling capabilities, and compliance with robots.txt policies are crucial. Businesses should prioritize tools that offer robust error handling, API integration, and reporting features to maximize efficiency. The Best 5 Web Crawlers in 2025 provide these capabilities, making it easier to streamline large-scale data collection without technical bottlenecks.

1. Googlebot: The Powerhouse Behind Global Search Indexing

Googlebot is the flagship web crawler for Google, responsible for indexing billions of web pages across the internet. Its advanced algorithms analyze page content, links, metadata, and structured data to determine relevance and search ranking.

Comprehensive Indexing: Googlebot systematically navigates websites, ensuring content is discoverable and accurately represented in Google Search results.

Dynamic Content Handling: It can process JavaScript, AJAX, and dynamic HTML, enabling the indexing of modern, interactive websites without missing crucial content.

SEO Implications: Understanding Googlebot’s crawling behavior is critical for businesses seeking to improve SEO performance. Proper sitemap implementation, internal linking, and structured data enhance visibility.

Crawl Efficiency: Googlebot uses adaptive scheduling to balance crawling frequency, avoiding server overload while maintaining up-to-date indexing of rapidly changing websites.

Business Applications:
  • Optimizing website structure for higher search rankings
  • Monitoring competitor visibility
  • Identifying indexing issues and content gaps

By leveraging insights from Googlebot's crawling patterns, businesses can refine SEO strategies, improve online presence, and ensure their content reaches the right audience. Its scale, efficiency, and precision make it indispensable for digital marketing and search optimization initiatives.

2. Bingbot: Microsoft's Smart Web Crawling Solution

Bingbot is Microsoft's primary crawler, feeding data to the Bing search engine and other Microsoft services. It is optimized for structured data, sitemaps, and modern web frameworks, making it an essential tool for digital discoverability.

Structured Data Focus: Bingbot emphasizes metadata, schema markup, and organized content to deliver precise search results. Proper use of structured data improves indexing efficiency and content ranking.

Compatibility with Modern Sites: It can crawl JavaScript-heavy and dynamic web pages, ensuring interactive and responsive websites are fully indexed.

Regional Reach: Bingbot supports global indexing but has stronger performance in specific markets where Bing search has higher adoption.

Crawl Scheduling: Bingbot adjusts crawl frequency based on website updates, server response, and content priority to maintain accuracy without overloading servers.

Benefits for Businesses:
  • Ensures web content is discoverable on Bing and Microsoft platforms
  • Helps identify SEO gaps missed by Googlebot
  • Enables competitive benchmarking across search engines

Bingbot's focus on structured content and modern web standards makes it a reliable crawler for businesses looking to maximize visibility on Microsoft platforms while complementing Google-centric SEO strategies.

3. Yandex Bot: Expanding the Frontiers of Web Crawling Innovation

Yandex Bot is the primary crawler for the Yandex search engine, dominant in Russia, and increasingly relevant globally. It leverages machine learning algorithms to improve indexing speed, content analysis, and coverage.

AI-Powered Crawling: Yandex Bot uses intelligent algorithms to understand content context, relationships, and relevance, enabling superior indexing of complex websites.

Dynamic Content Handling: It can navigate JavaScript-rendered pages, AJAX content, and multi-layered site structures, making it versatile for modern web architectures.

Regional Optimization: While primarily serving Russian markets, it is expanding to index content for global users, providing a unique avenue for international visibility.

Performance & Efficiency: Adaptive crawling ensures fast indexing without overloading servers, while prioritizing high-value content for timely updates.

Business Applications:
  • Targeting regional markets with localized SEO strategies
  • Competitive monitoring and trend analysis in Russia and surrounding regions
  • Improving global content indexing for international campaigns

Yandex Bot's combination of AI-driven analysis, speed, and geographic specialization makes it a powerful tool for businesses seeking insights into both domestic and international markets, complementing Googlebot and Bingbot strategies.

4. Actowiz Solutions: Your Partner for Tailored Web Crawling & Data Extraction

Actowiz Solutions offers bespoke web crawling services for businesses that require precise, large-scale, and automated data collection. Our crawlers are engineered to handle complex websites, real-time extraction, and multi-layered navigation.

Customization: We design crawlers to meet specific client needs, from e-commerce pricing tracking to competitive intelligence and digital research projects.

Real-Time and Scheduled Crawlers: Our solutions can deliver instant data updates or run on predefined schedules, ensuring data freshness and operational efficiency.

Handling Complexity: Dynamic content, JavaScript-heavy pages, and multi-page structures are seamlessly managed, providing accurate datasets without manual intervention.

Scalable Operations: Whether a client needs data from hundreds or thousands of URLs, our systems scale efficiently while maintaining high accuracy.

Business Benefits:
  • Market research and competitor analysis
  • Product data tracking and pricing intelligence
  • Integration with BI dashboards for actionable insights

Actowiz Solutions stands out by combining technology, expertise, and flexible solutions, enabling businesses to convert raw web data into structured, actionable intelligence for strategic decision-making.

5. AhrefsBot: The Trusted Crawler Driving SEO and Link Intelligence

AhrefsBot powers Ahrefs' backlink, SEO, and content analytics, providing marketers with comprehensive insights into website performance and link structures.

Backlink Analysis: It systematically crawls websites to discover incoming and outgoing links, generating data crucial for SEO strategies.

Keyword and Content Metrics: AhrefsBot collects keyword rankings, content relevance, and traffic potential, helping marketers optimize web pages and campaigns.

Scalable Crawling: Designed to crawl millions of pages efficiently, it supports large-scale SEO monitoring without compromising speed or accuracy.

Real-Time Monitoring: Continuous crawling allows timely detection of broken links, lost backlinks, or new competitor links for proactive strategy adjustments.

Business Applications:
  • Enhances search engine optimization planning
  • Monitors competitor backlink profiles
  • Guides content creation and digital marketing campaigns

AhrefsBot's precision, scalability, and SEO-centric focus make it an indispensable tool for marketers, enabling data-driven strategies that enhance visibility, authority, and online performance across industries.

What Sets These Web Crawlers Apart: Performance, Precision & Scalability

These top crawlers distinguish themselves through speed, accuracy, and adaptability. They can handle dynamic content, multi-page navigation, and scheduled updates, ensuring continuous access to structured datasets. Their precision reduces errors, while scalability allows businesses to extract millions of data points efficiently. Integrating these crawlers with analytics tools, dashboards, and reporting systems ensures actionable insights are always at your fingertips.

Conclusion

The Best 5 Web Crawlers in 2025—Googlebot, Bingbot, Yandex Bot, Actowiz Solutions, and AhrefsBot—are essential tools for modern data-driven businesses. Leveraging Web Crawlers list for Data Extraction, Web Crawlers for Automated Data, and Best 5 Web Crawlers in 2025 ensures accurate, scalable, and timely insights. Using Web Crawling vs Web Scraping, Web Scraping, Mobile App Scraping, and real-time dataset capabilities, organizations can optimize decision-making, enhance competitive intelligence, and unlock growth opportunities

Ready to transform your data collection strategy? Contact Actowiz Solutions today and harness the power of intelligent web crawling for your business!

You can also reach us for all your mobile app scraping, data collection, web scraping , and instant data scraper service requirements!

FAQs

What is a web crawler?

A web crawler is an automated program that systematically navigates websites to extract, index, and organize data for search engines, analytics, and business intelligence applications.

How do web crawlers differ from web scrapers?

Web crawlers systematically explore and index websites, while web scrapers extract specific information from selected pages. Crawlers are more automated and scalable, ideal for continuous data collection.

Why are web crawlers important in 2025?

Web crawlers help businesses gather large-scale, real-time data for market research, competitive analysis, SEO, pricing intelligence, and trend monitoring, supporting smarter data-driven decisions.

Which are the top 5 web crawlers in 2025?

The leading crawlers include Googlebot, Bingbot, Yandex Bot, AhrefsBot, and Actowiz Solutions’ custom web crawling service, providing robust, accurate, and scalable data collection.

Can web crawlers extract real-time datasets?

Yes, advanced crawlers like Actowiz Solutions’ platform can provide real-time datasets, ensuring continuous updates for analytics, trend monitoring, and operational decision-making.

Are web crawlers suitable for e-commerce data extraction?

Absolutely. They can automate extraction of product details, pricing, stock levels, and promotions across multiple platforms for analytics, benchmarking, and pricing strategy.

What is the difference between live and scheduled crawlers?

Live crawlers extract data in real-time, while scheduled crawlers collect information at predefined intervals, allowing automation and continuous monitoring without manual intervention.

Can web crawlers handle mobile app scraping?

Yes, specialized crawlers can extract structured data from mobile apps, providing insights similar to web data scraping for mobile-focused analytics and market intelligence.

How do web crawlers improve SEO performance?

Crawlers like Googlebot and AhrefsBot index websites, monitor backlinks, and track content performance, enabling businesses to optimize their SEO and digital visibility effectively.

Is web crawling legal and safe?

Yes, if crawlers comply with website policies, robots.txt rules, and data privacy regulations. Ethical crawling avoids overloading servers and respects copyright and data usage policies.

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] => 216.73.216.126
                    [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] => 216.73.216.126
                    [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

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💬 "Average Response Time: Under 12 hours"

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape Structure Analyze Visualize

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

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

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

Industry:

Coffee / Beverage / D2C

Result

2x Faster

Smarter product targeting

★★★★★

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

Operations Manager, Beanly Coffee

✓ Competitive insights from multiple platforms

Industry:

Real Estate

Result

2x Faster

Real-time RERA insights for 20+ states

★★★★★

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

Data Analyst, Aditya Birla Group

✓ Boosted data acquisition speed by 3×

Industry:

Organic Grocery / FMCG

Result

Improved

competitive benchmarking

★★★★★

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

Product Manager, 24Mantra Organic

✓ Real-time SKU-level tracking

Industry:

Quick Commerce

Result

2x Faster

Inventory Decisions

★★★★★

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

Aarav Shah, Senior Data Analyst, Mensa Brands

✓ 28% product availability accuracy

✓ Reduced OOS by 34% in 3 weeks

Industry:

Quick Commerce

Result

3x Faster

improvement in operational efficiency

★★★★★

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

Business Development Lead,Organic Tattva

✓ Weekly competitor pricing feeds

Industry:

Beverage / D2C

Result

Faster

Trend Detection

★★★★★

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

Marketing Director, Sleepyowl Coffee

Boosted marketing responsiveness

Industry:

Quick Commerce

Result

Enhanced

stock tracking across SKUs

★★★★★

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

Growth Analyst, TheBakersDozen.in

✓ Improved rank visibility of top products

Trusted by Industry Leaders Worldwide

Real results from real businesses using Actowiz Solutions

★★★★★
'Great value for the money. The expertise you get vs. what you pay makes this a no brainer"
Thomas Gallao
Thomas Galido
Co-Founder / Head of Product at Upright Data Inc.
Product Image
2 min
★★★★★
“I strongly recommend Actowiz Solutions for their outstanding web scraping services. Their team delivered impeccable results with a nice price, ensuring data on time.”
Thomas Gallao
Iulen Ibanez
CEO / Datacy.es
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1 min
★★★★★
“Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing highly recommended!”
Thomas Gallao
Febbin Chacko
-Fin, Small Business Owner
Product Image
1 min

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

Blinkit (Delhi NCR)

In Stock
₹524

Amazon USA

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

Appzon AirPdos Pro

Price
Drop −12 thr

Zepto (Mumbai)

Improved inventory
visibility & planning

Monitor Prices, Availability & Trends -Live Across Regions

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

✔ Scraped Data: Price Insights Top-selling SKUs

Our Data Drives Impact - Real Client Stories

Blinkit | India (Retail Partner)

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

✔ Scraped Data, SKU availability, delivery time

US Electronics Seller (Amazon - Walmart)

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

✔ Scraped Data, SKU availability, delivery time

Zepto Q Commerce Brand

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

✔ Scraped Data, SKU availability, delivery time

Actowiz Insights Hub

Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place

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Nov 09, 2025

Best 5 Web Crawlers in 2025 - Top Tools for Scalable Data Extraction & Web Automation

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Black Friday 2025 Insights - E-commerce Comparative Discount Analysis of Zara, Nike & SHEIN Discounts

Explore Black Friday 2025 with our E-commerce Comparative Discount Analysis of Zara, Nike & SHEIN, revealing pricing trends and shopper insights.

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

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Nov 09, 2025

Best 5 Web Crawlers in 2025 - Top Tools for Scalable Data Extraction & Web Automation

Discover the Best 5 Web Crawlers in 2025 designed for scalable data extraction, web automation, and intelligent data collection across industries.

Nov 08, 2025

How to Scrape BestBuy Product Data to Extract 1M+ Listings Efficiently for Market Insights

Learn how to scrape BestBuy product data to efficiently extract 1M+ listings, gain market insights, track pricing trends, and optimize your e-commerce strategy.

Nov 07, 2025

How Grocery Price Monitoring with Scraping Reveals True Discounts on BigBasket, Zepto, and Blinkit

Discover how grocery price monitoring with scraping uncovers real discounts on BigBasket, Zepto, and Blinkit, helping you save money and make smarter shopping decisions.

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Black Friday 2025 Insights - E-commerce Comparative Discount Analysis of Zara, Nike & SHEIN Discounts

Explore Black Friday 2025 with our E-commerce Comparative Discount Analysis of Zara, Nike & SHEIN, revealing pricing trends and shopper insights.

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Analyzing Zara’s U.S. Retail Presence Through Real-Time Store Data Scraping - Scrape Real-Time Zara Store Locations Data

This case study shows how we Scrape Real-Time Zara Store Locations Data to analyze Zara’s U.S. retail presence and uncover actionable market insights.

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D2C Fashion Brand: Cross-Marketplace Pricing Control

Track Flipkart & Myntra price violations for D2C fashion brands. Actowiz Solutions ensures MAP compliance and 27% revenue recovery through real-time scraping.

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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.

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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.

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2025 Real Estate Trends: Rising Prices in Top Indian Cities with Real Estate Prices Data Insights from Magicbricks

Explore rising real estate prices in top Indian cities with Real Estate Prices Data Insights from Magicbricks for informed investment decisions.