API Examples ============= Here are a few examples of how to use the API: **Get all visible passes of STARLINK-1600 at a given location for the specified time range:** https://satchecker.cps.iau.org/ephemeris/name-jdstep/?name=STARLINK-1600&latitude=40.1106&longitude=-88.2073&elevation=222&startjd=2460000.1&stopjd=2460010.1&stepjd=0.5 **Get any passes (visible or not) of STARLINK-1600 at a given location for the specified time range:** https://satchecker.cps.iau.org/ephemeris/name-jdstep/?name=STARLINK-1600&latitude=40.1106&longitude=-88.2073&elevation=222&startjd=2460000.1&stopjd=2460000.3&stepjd=0.1&min_altitude=-90 **Attempt to get visible passes STARLINK-1600 at a given location for the specified time range, with no results:** https://satchecker.cps.iau.org/ephemeris/name-jdstep/?name=STARLINK-1600&latitude=40.1106&longitude=-88.2073&elevation=222&startjd=2460000.1&stopjd=2460000.3&stepjd=0.1 -------------------------- **Get all TLEs for active objects at the current epoch:** .. code-block:: python from datetime import datetime, timezone import pandas as pd import requests def get_tles_at_epoch(base_url, epoch_date=None, page=1, per_page=100): url = f"{base_url}/tools/tles-at-epoch/" params = { "epoch": epoch_date, "page": page, "per_page": per_page } response = requests.get(url, params=params, timeout=10) if response.status_code == 200: return response.json() else: response.raise_for_status() def fetch_all_tles(base_url, epoch_date=None, data_source="spacetrack"): all_tles = [] page = 1 per_page = 100 while True: results = get_tles_at_epoch(base_url, epoch_date, page, per_page) tles = results[0]["data"] all_tles.extend(tles) if len(tles) < per_page: break page += 1 return all_tles if __name__ == "__main__": base_url = "https://satchecker.cps.iau.org" # This will give the current TLE set, use a specific epoch (in Julian date format) if needed # epoch_date = 2460606 all_tles = fetch_all_tles(base_url""", epoch_date=epoch_date """) # Create a DataFrame from the TLE data df = pd.DataFrame(all_tles) print(df.columns) print(df.head()) print(df.shape[0])