Gaming & Betting Data Scraping Services for Real-Time Market Intelligence

The iWeb Scraping product can provide structured gaming datasets across several delivered formats -CSV, JSON, Excel, XML, API feed and supported integrations to cloud storage systems. You can be assured that the output is formatted in a way that will be compatible with your internal systems and that the data will seamlessly integrate with analytics platforms, dashboards, data warehouses and business intelligence tools used for monitoringperformance, assessing pricing and reporting activities.

Absolutely! All our gaming data scraping solutions are capable of being configured to the specific requirements of the targeted platforms, data fields that need to be collected, how often the data will be updated and the respective geography of where the online data will be pulled from. Whether you require a casino directory, affiliate portals or specialized platform variations by region, we will configure our data extraction workflows so they support your business objectives and provide you with the competitive intelligence data you need.

In most cases, both types of projects can be supported by your organization and depending on your internal resources and business priorities, you may establish a continuous gaming data pipeline for both tracking and monitoring processes, such as tracking jackpots to support bonuses or monitoring bonuses for potential changes in your catalog; alternatively, you could submit a research request for an historical dataset for either research and/or strategy purposes.

Yes, the data we provide is structured such that integration into your systems will be as complete as possible through CRM systems, trading dashboards, analytics engines, compliance tools, and enterprise data platforms. Prior to delivering gaming and betting datasets to you; we work closely with your technical team to create schema definitions and style guides such that there will not be major impacts on your systems during integration and the long-term synchronization between your organization and our datasets.

Yes. Our company transforms raw gaming platform data into normalized structured datasets, using validated gaming and betting data fields, consistent naming conventions (standardized taxonomies), and transformed structured datasets. This allows organizations to perform accurate benchmarking and trend analyses across platforms, regions, and different time frames without having to clean the data at all.

Most online gaming platforms use dynamic content frameworks and interactive UIs. Our dynamic content configuration and advanced scraping architecture leverage JavaScript to render dynamic elements and adapt to changing page structures. This allows us to reliably extract from frequently revised and technically complex gaming environments.

Our infrastructure is designed to support a large amount of gaming and betting data being extracted across many different sites at once. We can support enterprise-scale workloads (thousands of pages that are continuously being collected), while providing: structured data consistency/reliability/performance; efficient use of resources; and application lifecycle management.

We utilize normalisation rules with respect to validation logic to maintain structural integrity when making updates and create version control systems to monitor structural changes as well as update the associated scripts that are used for extraction to ensure the reliability of the long-term data set if there has been a change in the structure of the layout, terminology, or formatting of a particular site.

Yes! Scraping schedules are totally flexible and can be adjusted. When the level of monitoring required increases (i.e., due to promotional intensity, jackpot growth, and/or geographical area expansion) we can scale up on the frequency of scrapes. On the other hand, if archival or periodic analysis becomes adequate, the frequency of scrapes can be decreased.

The extracted data undergoes an automated validation process, which includes duplicate removal, verifying the consistency of the fields, normalizing the values, and formatting structurally. These four factors ensure that the extracted data is accurate, complete, and usable for analysis at the time of full delivery to clients.

Games Data scraping can only occur on publicly accessible websites and in accordance withcurrent country laws and regulations. iWeb Scraping uses open and ethical procedures to collect information in compliance with domestic law, the terms and conditions of that website and international laws regarding the protection of data privacy. iWeb Scraping does not use logins to bypass access to restricted areas of the site, nor does it attempt to obtain any personal information or information about individuals by “scraping” from a website. iWeb Scraping’s activities are therefore both legal and ethical.

No, iWeb Scraping does not collect any private data about players. All the data we scrape is only available at the platform level and does not include usernames and passwords, transaction details, payment information, or any other confidential user activity. All scraping is only using visible public data; therefore, it meets all appropriate privacy standards and reduces potential liability and regulatory exposure.

GDPR compliance is assured with the restriction of data collection to publicly available non-personal platform information only. We also do not collect any personally identifiable data. Our processes are designed so that sensitive personal data is not collected from any user’sactivities, nor can we extract, store or process any personal or sensitive personal information about any individual through our services. We also follow proven methods of secure gaming data handling and require documentation to establish that proper gaming data governance procedures are followed by organizations before they may access data from our services.

All extracted gaming data will be transmitted and stored securely, with encryption employed for both the transmission and the storage of data in our environment. We have implemented strict role-based access policies to restrict client personnel to only those people authorized by our clients to access client datasets. We have established protocols to monitor security and safeguard sensitive data at all times as part of our data lifecycle management processes.

Absolutely! All extracted data will be stored in environments that will use secure methods to protect against unauthorized access, data loss and data misuse. We have establishedstructured data governance policies to control access to the data and to prevent loss of efficiency in accessing client datasets and data loss through theft, fraud or misuse. We also establish and maintain appropriate levels of availability while maintaining the highest standards of confidentiality and operational security pertaining to gaming data collected and used by our enterprise clients.