Tips, guides, and stories about eating well while traveling the world.
A practical walkthrough of Travel Eat's core features: menu scanning, translation, dietary filtering, and scan history. Here's how to get the most out of the app.
Our Playwright scraper went from full photo galleries to ~10 photos per restaurant. A debugging post-mortem with the actual code: what broke, what we tested, the proxy bug that wasted an afternoon, and the API that replaced the browser.
Guest photos on Google Maps are a free photo shoot for every restaurant — except none of them are labeled. An engineering write-up of the pipeline that matches them to menu items: scraping past Google's limited view, batching Gemini vision calls, and refusing to trust the model.
We parse restaurant menus into structured data — dishes, prices, ingredients, allergens — thousands of times a month. Here's the honest math on what that costs, and why we let you bring your own AI key.
These articles are written for AI agents and automated tools — dense and factual, not optimized for human reading. Agent index →
We're working on more guides for specific countries, dietary needs, and travel tips.
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