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Client Background
The client operates in the overseas sports betting space. Their operations involved monitoring and placing bets across several sports betting platforms, includingPS3838 and CoolBet. Previously, this process was handled manually, which was time-consuming and introduced room for human error. The client sought a sports betting software solution that could automate these actions while adapting to platform changes and maintaining data reliability.
Challenges & Objectives
The objectives and potential challenges of the project were as follows:
Challenges
- Each sports betting platform used a different site structure, which made creating a consistent automation logic difficult.
- Layouts, CSS selectors, and API structures changed frequently, often breaking existing scripts.
- Many platforms employed anti-bot systems, such as CAPTCHAs, behavioral detection, and IP restrictions.
- The client needed up-to-date and accurate data at all times to make informed decisions, which required validation and error-handling mechanisms.
Objectives
- Build a flexible Chrome extension capable of sports betting automation across multiple platforms.
- Design it to adapt quickly to frontend changes and different site architectures.
- Implement basic bot avoidance features such as proxy rotation and request timing.
- Maintain and update the system regularly to support long-term use.
Approach & Implementation
Custom browser scripts were developed for each supported website, allowing the extension to interact with the site’s elements as a user would. The code was structured in a modular fashion, making it easier to isolate and update individual components when a platform changed. This modularity also simplified testing and future feature integration.
A lightweight design was prioritized to ensure the extension ran smoothly on standard user systems without needing significant resources or complex setup.
The AI betting software incorporated dynamic learning mechanisms to adapt to platform changes efficiently.
Maintenance & Updates
Frequent platform updates often caused selector breakage. To address this, regular bug-fixing cycles were introduced to inspect and update affected scripts. Code refactoring accompanied these updates to maintain a clean codebase.
The selector logic was improved with strategies to handle minor layout shifts, reducing the need for constant manual changes. The automated betting strategies integrated into the system ensured that users could adjust betting logic without overhauling the software.
Anti-Bot Considerations
Several strategies were used to reduce the risk of bot detection:
- Proxy rotation was implemented to distribute traffic and avoid IP bans.
- Request timing and user-like behaviors were randomized to mimic human actions.
- Fallback mechanisms were added to maintain functionality during temporary access issues or data gaps.
Monitoring & Support
Basic logging captured session data, including timestamps, responses, and errors, enabling faster issue identification. Retry logic helped the system recover from failed or timed-out requests.
Ongoing support involved regular performance reviews, updates, and the rollout of new features in response to evolving needs. The integration of web scraping for betting sites helped ensure that real-time odds and data were always accessible.
Results & Outcomes
The Chrome extension reduced the need for manual interaction in betting tasks. Processes such as monitoring odds, placing bets, and navigating between platforms became partially or fully automated.
Response times improved across multiple platforms, and the system remained stable even during frequent front-end changes. The automated sports betting system continued to perform well despite evolving platform restrictions.
The solution also scaled over time. As new sports and platforms were introduced into the client’s workflow, the extension continued to deliver reliable performance thanks to its maintainable design and structured update process.
Key Takeaways
Upon completing the project, we identified the following key takeaways:
- In fast-moving environments like online sports betting, sports betting software significantly improved efficiency and accuracy.
- Planning for constant change early on helped the system stay one step ahead of platform updates and anti-bot measures.
- Regular maintenance, whether updating broken selectors or fixing subtle bugs, was key to keeping the extension stable over time.
- Having a modular code structure allowed new platforms and features to be added without reworking the entire system.
- Even small improvements in betting bot development free up time and allow the client to focus on decision-making rather than manual data gathering.
Conclusion
The browser-based automation system developed by Relu Consultancy gave the client a reliable way to manage betting tasks across platforms like PS3838 and CoolBet. Each platform had its quirks, so custom scripts were built to handle the different site structures. To keep things running smoothly, the system dealt with common issues like CAPTCHAs, changing layouts, and bot detection using proxy rotation, timed requests, and fallback strategies.
The sports betting software continued to perform well even as betting platforms evolved. With steady updates and bug fixes, it reduced the amount of manual work involved and helped create a more consistent, automated process. Overall, the project showed how important it is to build adaptable tools that can grow with changing online environments.
