Tide & Coastal Water Level Data: NOAA Stations

NOAA Tides Scraper - Water Level Observations

benthepythondev/noaa-tides-water-level-scraper

Collect recent NOAA CO-OPS water levels or predictions with station metadata, timestamps, values, quality flags, datum and units.

Track the average monthly interest rate the US Treasury pays across a security category (Treasury Bills, Notes, Bonds, TIPS, and more), with year-over-year comparison, via the official US Treasury Fiscal Data API.

Query USGS NWIS Instantaneous Values for bounded streamflow, discharge, gage-height, and water-monitoring observations by site or geography. Returns one source-linked row per site/parameter series with qualifiers, units, methods, and optional bounded history.

USGS Water Data Scraper - Live Site Readings

benthepythondev/usgs-water-data-scraper

Collect recent USGS water observations by site and parameter with timestamp, value, unit, qualifiers, station name, coordinates and links.

Tide predictions and observed water levels for any NOAA station: high and low tide times, currents, water temperature and wind. Built for the 'when can I get the boat out' question in fishing, sailing and coastal apps. Free and keyless.

Current geomagnetic Kp index, GOES X-ray flare class, NOAA R-scale radio blackout severity, computed aurora-visible latitude, and active NOAA space weather alerts, in one snapshot.

Get forecast, current conditions, and active weather alerts for any US location from the official National Weather Service API. No key, no proxy.

Pull a company's current open job listings from its public Greenhouse or Lever job board API: title, location, department, and posting date as clean JSON.

Real-time river water levels (m) and flow (L/s) for hydrometric stations in any French commune. Free — official Hub'Eau / Vigicrues-network open data.

US River Water Level API - Official USGS Streamflow Gauges

neverempty/us-river-water-levels

For flood risk models, water utilities, insurance and paddling apps: river level, streamflow and water temperature from official USGS gauges, with how old each reading is and whether the sensor worked. Over 31,752 time series on 2026-08-30, 2.64% read -999999 and 26.6% were over a year old.