- How do I install jaybizzle/laravel-crawler-detect in a Laravel app?
- Install it with Composer and confirm whether Laravel auto-discovery registers the service provider and facade. If auto-discovery is not available for your Laravel version, register the provider manually and check for facade alias conflicts. After installation, clear and rebuild the config cache to verify the package loads correctly. Run a small request test before using it in analytics or middleware paths.
- Which Laravel and PHP versions does laravel-crawler-detect support?
- Check the package composer.json constraints against your target Laravel and PHP matrix before adopting it. The repository metadata is listed as unknown, so verify the source, release provenance, and dependency health directly. Test auto-discovery versus manual provider registration, facade aliases, PHP 8.x deprecations, and config caching in a non-production spike. Keep a manual fallback if the package cannot be installed on older Laravel versions.
- How do I detect crawlers in Laravel middleware with this package?
- Wrap the package classification in a small middleware or adapter rather than calling it directly throughout the codebase. Set a request attribute or use a CrawlerClassifier interface so controllers, analytics jobs, and reporting can share one classification result. Cache the result per request to avoid repeated regex work in loops. Test the middleware against sampled production user agents before enabling it broadly.
- Can I use laravel-crawler-detect in Blade templates or through a facade?
- The package is described as exposing Laravel-friendly facades and Blade directives, so you can conditionally render crawler-specific content in views. Prefer routing classification through a centralized adapter or request attribute rather than scattering direct facade calls across templates. Treat the result as a hint, not a security control, because user-agent strings are spoofable. Verify facade aliases and config-cache behavior in your Laravel version.
- Is laravel-crawler-detect safe for blocking bots or making security decisions?
- No, user-agent-only detection is spoofable and produces false positives and false negatives, so it should not be the sole control for blocking, billing, security, or compliance decisions. Use it for analytics filtering, bot traffic tagging, cache or rate-limit hints, and SEO or monitoring segmentation. Combine it with WAF, CDN, or device-intelligence signals where enforcement matters. Maintain allowlists and an override process for support teams.
- Does laravel-crawler-detect work with Laravel Octane and config caching?
- The classification is stateless, but you must still verify Octane safety and config-cache compatibility in your environment. Test facade aliases, service provider registration, and behavior under long-running workers with realistic traffic. Avoid storing per-request state in singletons and cache classification per request where possible. Run a small spike before relying on it in production request paths.
- How accurate is crawler detection from user-agent strings?
- Accuracy depends on the freshness of the upstream CrawlerDetect regex list and on how clearly clients identify themselves. User-agent strings can be spoofed, so expect false positives and false negatives and define tolerance for each use case. Run the package in shadow mode alongside existing bot checks and compare classifications on real traffic. Enable it first for low-risk uses such as analytics exclusion or internal dashboards.
- How are crawler signatures updated in laravel-crawler-detect?
- The Laravel package is a wrapper around the upstream CrawlerDetect library, so signature freshness depends on that dependency. Monitor upstream releases and security advisories, pin versions, run composer audit, and refresh on a defined cadence. Avoid forking the wrapper unless it becomes unsupported. Assign an owner for dependency review and incident response because the package has no vendor SLA.
- Can I use laravel-crawler-detect to filter analytics traffic in production?
- Yes, analytics filtering is a low-risk first use case because it does not enforce access or billing decisions. Start in shadow mode, compare results with current filters, and measure false-positive rates on sampled production user agents. Implement a centralized adapter and cache the classification per request to limit regex overhead. Document rollback and allowlist procedures before enabling it for reporting.
- What are alternatives to laravel-crawler-detect for bot detection in Laravel?
- Alternatives include WAF or CDN bot management, device-intelligence services, custom user-agent regex adapters, and other Composer packages. Keep the package behind an internal CrawlerClassifier interface so you can swap in WAF, CDN, or device-intelligence signals later. Inventory existing ad hoc bot checks and replace them incrementally with the adapter. This avoids tying application code directly to one detection library.