In the world of aviation photography and enthusiast data, JetPhotos.com stands as a colossus. As the largest online database of aviation photographs, hosting over 5 million images of aircraft, airports, and airliners, it is the go-to resource for spotters, airlines, and developers alike.
@app.get("/jp") async def fetch_jetphoto(reg: str): # Check cache first (pseudo-code) # if cache.exists(reg): return cache.get(reg) jetphotos api
"You may not use any automated system, including without limitation 'robots,' 'spiders,' or 'offline readers,' to access the JetPhotos website in a manner that sends more request messages to our servers than a human can reasonably produce in the same period." In the world of aviation photography and enthusiast
However, JetPhotos does provide structured data through and a search URL schema that functions similarly to an API. Additionally, third-party developers have created "scraping wrappers" to simulate API behavior. The Unofficial "API" Structure: URL Hacking While JetPhotos does not publish a GetPhotoByID endpoint, their search engine is URL-based. You can treat the search query parameters as a de facto API. Base URL Structure The standard search URL is: https://www.jetphotos.com/search Base URL Structure The standard search URL is: https://www
But what if you want to move beyond the web interface? What if you want to build a flight tracking app, create a personalized dashboard of your spotting history, or automate aircraft recognition for a virtual airline?
These libraries violate JetPhotos' Terms of Service if used for high-volume commercial scraping. However, for personal use with low rate limiting (e.g., 1 request per second), the community generally tolerates it. JavaScript/Node.js: jetphotos-scraper A lightweight npm package that proxies requests through a CORS-friendly endpoint.