RE: Will limiting users read count reduce data scraping on Web 2.0 platforms?

Limiting the number of reads for users on Web 2.0 platforms can indeed be an effective strategy to reduce data scraping activity. By imposing limits on the number of queries or accesses allowed to a single user within a certain period of time, platforms can prevent automated bots or scrapers from extracting large amounts of data. Data scraping, while sometimes done for legitimate purposes such as research or data analysis, can also be used for malicious purposes, such as collecting personal information or copyrighted content. And it's great to strike a balance in all of this between preventing data scraping and maintaining a positive user experience. A tool like ZenRows can be a valuable tool, I was able to learn more about it and I can say that for developers and companies who want to access web data in a safe, secure and ethical way. Using the ZenRows API, users can access structured web data without the need for complex scripting or infrastructure, reducing the incentive for unauthorized data scraping activities. With the right approach and utilization of such tools, platforms can protect their data while providing a seamless user experience.