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GeoIp2\Model\City Object
(
    [city:protected] => GeoIp2\Record\City Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => names
                )

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

            [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
                        )

                )

        )

    [location:protected] => GeoIp2\Record\Location Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => averageIncome
                    [1] => accuracyRadius
                    [2] => latitude
                    [3] => longitude
                    [4] => metroCode
                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

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

        )

    [postal:protected] => GeoIp2\Record\Postal Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => confidence
                )

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

        )

    [subdivisions:protected] => Array
        (
            [0] => GeoIp2\Record\Subdivision Object
                (
                    [validAttributes:protected] => Array
                        (
                            [0] => confidence
                            [1] => geonameId
                            [2] => isoCode
                            [3] => names
                        )

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

                    [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
                                )

                        )

                )

        )

    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => geonameId
                    [2] => names
                )

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

            [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
                        )

                )

        )

    [country:protected] => GeoIp2\Record\Country Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

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

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

    [maxmind:protected] => GeoIp2\Record\MaxMind Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => queriesRemaining
                )

            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

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

            [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
                        )

                )

        )

    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                    [5] => type
                )

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

            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [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
                )

            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.184
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
                )

        )

    [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] => 216.73.216.184
                    [prefix_len] => 22
                )

        )

)
 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
)
How-to-Scrape-Data-from-Gambling-Websites-By-Bypassing-Anti-Scraping-Tools

Introduction

In this era of intense competition, businesses are constantly seeking the edge they need to succeed. Web scraping has emerged as a powerful tool in this pursuit, allowing enterprises to gain a competitive advantage. However, the world of web scraping is not without its challenges, as websites employ various anti-scraping techniques to protect their data and deter automated scraping activities. Nevertheless, where there's a will, there's a way.

What is Web Scraping?

Web scraping is a data extraction technique used to collect information from websites. It involves automating the retrieval of data from web pages by sending HTTP requests to web servers, parsing the HTML content of the web pages, and extracting specific pieces of information. This process allows users to gather structured data from the internet for various purposes, such as research, analysis, reporting, and more.

Web scraping is a versatile tool with applications in a wide range of fields. Businesses use it for competitive intelligence, market research, and pricing analysis. Researchers leverage it to gather data for academic studies, while journalists use it to source information for news articles. Additionally, web scraping is employed in web indexing, content aggregation, and monitoring changes to websites over time.

Common technologies and libraries used in web scraping include Python, Beautiful Soup, Scrapy, and Selenium. It's essential to note that while web scraping can be a valuable resource, it must be conducted ethically and responsibly, respecting website terms of service and legal regulations. Additionally, websites may employ anti-scraping measures to protect their data, requiring scrapers to navigate obstacles and challenges effectively.

Dealing with Anti-Scraping Tools: A Responsible Approach

In an age where data is more valuable than ever, web scraping has become a popular means of extracting information from websites for various purposes, including market research, price comparison, and content aggregation. However, web scraping has its challenges, including the presence of anti-scraping tools and techniques implemented by website owners to protect their data and resources. In this comprehensive guide, we'll explore what anti-scraping tools are, common techniques used to counter scraping, and how to deal with them responsibly.

Understanding Anti-Scraping Tools

Anti-scraping tools, also known as web scraping or bot mitigation solutions, are mechanisms and strategies employed by website operators to detect and deter automated scraping activities on their websites. These tools are designed to differentiate between genuine human users and automated bots, including web scrapers. While web scraping itself is a legitimate practice when conducted ethically and within legal boundaries, certain scraping activities can strain server resources, degrade website performance, or breach terms of service agreements.

Common Anti-Scraping Techniques

Captcha Challenges

What They Are: Captchas are a familiar sight on the internet. These are tests that are presented to users to verify their humanity. Challenges can include identifying objects in images or solving puzzles.

How to Deal with Them: To bypass Captcha challenges, you can utilize Optical Character Recognition (OCR) techniques or third-party services that specialize in solving Captchas. However, this approach may not always be foolproof, and Captchas can become increasingly sophisticated.

IP Blocking

What It Is: Websites have the ability to block or limit access from specific IP addresses or ranges known to be associated with web scrapers.

How to Deal with It: Overcoming IP blocking typically involves using proxy servers or rotating IP addresses. By frequently changing the source IP address of your scraper, you can avoid detection.

Rate Limiting and Throttling

What They Are: Websites can impose rate limits, restricting the frequency of requests accepted from a particular IP address or user agent.

How to Deal with Them: Adhering to the website's rate limits is a responsible approach. Implement request throttling within your scraper to slow down the rate of requests and avoid triggering rate limiting mechanisms.

User-Agent Detection

What It Is: Websites can identify scrapers by analyzing the user agent string found in HTTP headers. Unusual or frequently associated user agents may trigger anti-scraping measures.

How to Deal with It: Change your scraper's user agent string to mimic that of a standard web browser or periodically rotate user agents to prevent detection. However, it's important not to impersonate real user agents to an extent that breaches the website's terms of service.

JavaScript Challenges

What They Are: Some websites employ JavaScript challenges to confirm that the client's browser can execute JavaScript.

How to Deal with Them: To handle JavaScript challenges, use headless browsers such as Puppeteer or Selenium. These tools enable your scraper to render and interact with web pages, effectively navigating through JavaScript-based obstacles. Be aware that this approach adds complexity to your scraping project.

Honeypots and Hidden Fields

What They Are: Websites may incorporate hidden fields or honeypots that are invisible to regular users but are designed to trap scrapers.

How to Deal with Them: Scrutinize the HTML source code of web pages to identify and avoid interacting with hidden fields or honeypots. Handling these elements with care can help your scraper avoid detection.

AI-Powered Detection

What It Is: Advanced anti-scraping tools utilize machine learning and artificial intelligence to recognize patterns associated with scraping activities.

How to Deal with It: Bypassing AI-powered detection is a challenging task. The most effective strategy is to minimize the predictability of your scraping patterns and remain adaptable in your scraping code to thwart evolving detection methods.

Responsible Web Scraping

It's crucial to recognize that attempting to bypass anti-scraping measures without proper authorization may violate website terms of service and, in some cases, lead to legal repercussions. Therefore, it is essential to approach web scraping responsibly, ethically, and in compliance with both the law and website-specific policies.

Here are some key principles for responsible web scraping:

Respect Robots.txt: Many websites have a robots.txt file that provides guidance on what can and cannot be scraped. Always respect the directives in the robots.txt file.

Terms of Service: Review and adhere to the website's terms of service or use. These documents often contain explicit information about web scraping policies.

Permission: If you require access to data for legitimate purposes, consider contacting the website owner for permission or explore alternative methods of obtaining the data, such as using official APIs when available.

Rate Limiting: Implement responsible scraping practices, including rate limiting and throttling, to avoid overloading the website's server with requests.

Monitoring and Adaptation: Regularly monitor your scraping process for changes in the website's structure or anti-scraping measures. Be prepared to adapt your code accordingly.

Data Privacy: Be mindful of data privacy laws and regulations, especially when scraping websites that may contain personal or sensitive information.

Anti-scraping tools are essential for website operators to protect their data and resources from unwanted or abusive scraping activities. While web scraping can be a valuable tool for data acquisition, it is equally important to conduct scraping activities responsibly, ethically, and within the confines of legal and website-specific policies. By understanding and respecting anti-scraping measures, data enthusiasts and businesses can ensure that the internet remains a place where both data accessibility and data security are preserved.

What are Gambling Websites?

Gambling websites, often referred to as online gambling platforms or online casinos, are digital destinations where individuals can participate in various forms of betting and wagering activities over the internet. These websites offer a wide array of gambling options, including casino games like slots, poker, roulette, and blackjack, as well as sports betting, bingo, lottery, and more.

Gambling websites provide users with the convenience of accessing these activities from the comfort of their own homes, using computers or mobile devices. They typically offer a diverse range of games and betting opportunities, often featuring enticing bonuses, promotions, and jackpots to attract players.

While some gambling websites operate legally and are regulated by government authorities to ensure fair play and responsible gambling, others may exist in unregulated or gray areas. It's essential for individuals interested in online gambling to choose reputable and licensed platforms to ensure a safe and secure gaming experience.

The popularity of online gambling has grown significantly in recent years, making these websites a prominent part of the digital entertainment landscape. However, responsible gambling practices and adherence to legal regulations are crucial to ensure that individuals can enjoy these platforms without facing adverse consequences.

List of Top Gambling Websites

Here is a list of leading gambling websites, based on a combination of factors such as popularity, traffic, and reputation:

  • Bet365
  • Betway
  • William Hill
  • 888Sport
  • Unibet
  • Paddy Power
  • Betfair
  • 10bet
  • Ladbrokes
  • Coral
  • BetVictor

These websites offer a wide range of gambling products, including sports betting, casino games, live dealer games, and poker. They are all licensed and regulated by reputable gaming authorities, and they offer a variety of payment and withdrawal options.

List of Data Fields

Here is a list of data fields that you may want to scrape from gambling websites:

  • Event Date
  • Event Name
  • Event Time
  • Game Name
  • Game Type (E.G., Slots, Table Games, Live Dealer Games)
  • Bonuses And Promotions
  • Customer Support Information
  • Minimum And Maximum Bets
  • Number Of Players
  • Odds For Each Outcome
  • RTP
  • Stakes
  • Teams Or Athletes Involved
  • Website Currency
  • Website Language
  • Website License And Regulatory Information
  • Website Name
  • Website URL

Scraping Gambling Websites

An Example - Bet365.nl

Bet365.nl is a popular online betting website in the Netherlands. It is known for its strict anti-scraping measures, which makes it difficult to scrape data from the website.

There are a few ways to bypass the Bet365.nl anti-scraping firewall:

Use a proxy server: A proxy server can hide your IP address from Bet365.nl, making it more difficult for them to detect and block you.

Use a rotating proxy server: A rotating proxy server will automatically switch between different IP addresses, making it even more difficult for Bet365.nl to block you.

Use a user agent rotator: A user agent rotator will automatically switch between different user agents, making it more difficult for Bet365.nl to detect that you are using a bot.

Use a headless browser: A headless browser is a web browser that does not have a graphical user interface. This makes it more difficult for Bet365.nl to detect that you are using a bot.

Once you have bypassed the Bet365.nl anti-scraping firewall, you can use the following steps to scrape data from the website:

Send an HTTP request to the Bet365.nl page that contains the data you want to extract. You can use the requests library in Python to do this.

Parse the HTML response using BeautifulSoup. BeautifulSoup is a Python library that makes it easy to parse HTML and extract data from web pages.

Extract the data you want. Once you have parsed the HTML response, you can use BeautifulSoup to extract the data you want.

Save the data to a file. You can save the data to a CSV file, JSON file, or any other format of your choice.

Here is a simple Python example of how to scrape live odds from Bet365.nl:

Here-is-a-simple-Python-example

This code will scrape the live odds for all events on the Bet365.nl live odds page and save the event name and odds to a CSV file. You can modify the code to scrape other data from the Bet365.nl website, or to extract data from other pages on the website.

It is important to note that scraping websites without permission can violate the website's terms of service. Be sure to check the Bet365.nl terms of service before scraping their website.

Conclusion

Scraping data from gambling websites is a complex task that requires expertise, ethics, and a thorough understanding of legal and technical challenges. Actowiz Solutions, with its years of experience and commitment to responsible web scraping, stands as the ideal partner for this endeavor.

Our tailored scraping solutions, combined with a deep respect for compliance and ethical practices, ensure that you can extract valuable insights from gambling websites responsibly and legally. By choosing Actowiz Solutions, you gain access to a wealth of data that can inform your decisions, provide competitive advantages, and drive your business forward.

Don't miss out on the opportunities that data from gambling websites can offer. Contact Actowiz Solutions today and let us help you navigate the complexities of web scraping while ensuring you make the most of the information available. Your data-driven decisions are just a click away. Act now! You can also reach us for all your data collection, mobile app scraping, instant data scraper and web scraping service requirements.

GeoIp2\Model\City Object
(
    [city:protected] => GeoIp2\Record\City Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => names
                )

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

            [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
                        )

                )

        )

    [location:protected] => GeoIp2\Record\Location Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => averageIncome
                    [1] => accuracyRadius
                    [2] => latitude
                    [3] => longitude
                    [4] => metroCode
                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

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

        )

    [postal:protected] => GeoIp2\Record\Postal Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => confidence
                )

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

        )

    [subdivisions:protected] => Array
        (
            [0] => GeoIp2\Record\Subdivision Object
                (
                    [validAttributes:protected] => Array
                        (
                            [0] => confidence
                            [1] => geonameId
                            [2] => isoCode
                            [3] => names
                        )

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

                    [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
                                )

                        )

                )

        )

    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => geonameId
                    [2] => names
                )

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

            [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
                        )

                )

        )

    [country:protected] => GeoIp2\Record\Country Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

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

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

    [maxmind:protected] => GeoIp2\Record\MaxMind Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => queriesRemaining
                )

            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

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

            [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
                        )

                )

        )

    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
        (
            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                    [5] => type
                )

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

            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [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
                )

            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.184
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
                )

        )

    [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] => 216.73.216.184
                    [prefix_len] => 22
                )

        )

)
 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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Additional Trust Elements

✨ "1000+ Projects Delivered Globally"

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🔒 "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

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
Product Image
1 min
★★★★★
“Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing highly recommended!”
Thomas Gallao
Febbin Chacko
-Fin, Small Business Owner
Product Image
1 min

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

Blinkit (Delhi NCR)

In Stock
₹524

Amazon USA

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

Appzon AirPdos Pro

Price
Drop −12 thr

Zepto (Mumbai)

Improved inventory
visibility & planning

Monitor Prices, Availability & Trends -Live Across Regions

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

✔ Scraped Data: Price Insights Top-selling SKUs

Our Data Drives Impact - Real Client Stories

Blinkit | India (Retail Partner)

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

✔ Scraped Data, SKU availability, delivery time

US Electronics Seller (Amazon - Walmart)

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

✔ Scraped Data, SKU availability, delivery time

Zepto Q Commerce Brand

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

✔ Scraped Data, SKU availability, delivery time

Actowiz Insights Hub

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

All
Blog
Case Studies
Infographics
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Tracking 5M+ SKUs Across 50 E-commerce Sites for Real-Time Price & Stock MonitoringSystem

tracked 5M+ SKUs across 50 e-commerce sites for real-time price & stock intelligence to empower global retail strategy.

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Enterprise Price Intelligence: Building a Global Multi-Platform Scraping System

Actowiz Solutions builds global multi-platform scraping systems for enterprise price intelligence, enabling real-time competitive and market insights.

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K-Beauty Market Intelligence: How Naver & Coupang Data Shaped a Turkish Importer’s Product Strategy

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

Aug 15, 2025

Enterprise Price Intelligence: Building a Global Multi-Platform Scraping System

Actowiz Solutions builds global multi-platform scraping systems for enterprise price intelligence, enabling real-time competitive and market insights.

Aug 14, 2025

Healthcare Review Analytics – Turning Patient Feedback into Insights

Actowiz Solutions turns patient reviews into actionable healthcare insights using AI-powered review scraping, sentiment analysis, and trend tracking.

Aug 13, 2025

How AI Job Market Data Scraping is Shaping U.S. Hiring Trends

Discover how AI-driven job market data scraping is transforming U.S. hiring trends with real-time insights, salary benchmarks, and demand forecasting from Actowiz Solutions.

Aug 12, 2025

E-commerce Price Wars: Amazon vs Walmart – Weekly Price Analytics

Discover how weekly price analytics reveal the Amazon vs Walmart e-commerce battle. Actowiz Solutions shares real-time price trends and competitive insights.

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Tracking 5M+ SKUs Across 50 E-commerce Sites for Real-Time Price & Stock Monitoring

tracked 5M+ SKUs across 50 e-commerce sites for real-time price & stock intelligence to empower global retail strategy.

thumb

K-Beauty Market Intelligence: How Naver & Coupang Data Shaped a Turkish Importer’s Product Strategy

See how Actowiz Solutions used Naver & Coupang data to identify trending K-Beauty SKUs, prices, and stock insights for the Turkish cosmetics market.

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How Compare Product Prices Weekly For Local Retail Stores Improved Sales and Customer Retention

Discover how our solution to Compare Product Prices Weekly For Local Retail Stores helped boost sales, enhance customer loyalty, and maintain competitive pricing effectively.

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

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

thumb

Monthly Tracking of Property Prices in NYC via Realtor.com

monthly tracking of property prices in NYC, using Realtor.com data to analyze market trends, price shifts, and neighborhood-level changes.

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Weekly Uber Eats Data Tracking of Vendor Activity in New York

Analyze vendor trends with Weekly Uber Eats data in New York, tracking menus, pricing, and activity for strategic food delivery insights.