NOAA CoastWatch ERDDAP Ocean Data Scraper
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NOAA CoastWatch ERDDAP Ocean Data Scraper
Pull ocean buoy and station readings from NOAA CoastWatch ERDDAP, including station ID, latitude, longitude, timestamp, water temperature, air temperature, and wind speed. Browse the full dataset catalog too. Useful for marine forecasting, climate research, and coastal monitoring.
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🌊 NOAA CoastWatch ERDDAP Ocean Data Scraper
🚀 Pull ocean buoy and station readings in seconds. Get station ID, latitude, longitude, timestamp, water temperature, air temperature, and wind speed from NOAA CoastWatch ERDDAP, or browse the full dataset catalog.
🕒 Last updated: 2026-06-08 · 📊 Two modes (station records + dataset catalog) · live NDBC buoy feed · global coastal coverage
Turn the NOAA CoastWatch ERDDAP data server into clean, structured records you can drop into a marine forecast, a climate study, a coastal-monitoring dashboard, or a research notebook. Choose Station records to pull oceanographic observations from a tabledap dataset, or Dataset catalog to list every dataset available on the server with its coverage metadata.
Coverage spans NOAA's CoastWatch ERDDAP holdings. The default station dataset is cwwcNDBCMet, the NDBC Standard Meteorological Buoy Data feed, with thousands of buoys and coastal stations worldwide reporting water and air temperature, wind, and more. When no time window is given, the Actor auto-selects a recent one-hour window anchored to the dataset's latest available data, so a default run always returns fresh rows.
| 🎯 Target Audience | 💡 Primary Use Cases |
|---|---|
| Marine forecasters and meteorologists | Pull live buoy water and air temperature, wind |
| Climate and ocean researchers | Build time series from station observations |
| Coastal and port operators | Monitor conditions at specific stations |
| Data engineers and app developers | Catalog ERDDAP datasets and feed pipelines |
📋 What the NOAA CoastWatch ERDDAP Scraper does
This Actor calls the public NOAA CoastWatch ERDDAP server and runs in one of two modes:
- Station records (
data) — pulls observations from a tabledap dataset.station,longitude,latitude, andtimeare always included; you choose the extra measurement variables (water tempwtmp, air tempatmp, wind speedwspd, and any others the dataset offers). - Dataset catalog (
catalog) — lists every dataset on the server with its title, institution, time and spatial coverage, and tabledap/griddap URLs.
Every record carries a scrapedAt timestamp.
🎬 Full Demo (🚧 Coming soon)
⚙️ Input
| Field | Type | Description |
|---|---|---|
mode | select | data (Station records) or catalog (Dataset catalog). Defaults to data. |
datasetId | string | The tabledap dataset ID to pull from in data mode. Defaults to cwwcNDBCMet. |
variables | array | Measurement variables to return per record, e.g. wtmp, atmp, wspd. station, longitude, latitude, and time are always included. Defaults to wtmp, atmp, wspd. |
startTime | string | Lower bound of the time window in ISO 8601 UTC, e.g. 2026-05-14T21:00:00Z. Leave empty to auto-select a recent window. |
endTime | string | Upper bound of the time window in ISO 8601 UTC. Leave empty to use the dataset's latest timestamp. |
stationFilter | string | Optional exact station ID, e.g. 41002, to restrict to one station. |
maxItems | integer | How many records to return. Free plan is capped at 10. |
Example 1 — latest readings for a single buoy
{"mode": "data","datasetId": "cwwcNDBCMet","variables": ["wtmp", "atmp", "wspd"],"stationFilter": "41002","maxItems": 10}
Example 2 — browse the dataset catalog
{"mode": "catalog","maxItems": 10}
⚠️ Good to Know: in
datamode, leavingstartTimeandendTimeempty makes the Actor read the dataset's latest available timestamp and pull a one-hour window ending there, so you always get fresh rows. Provide your own window to pull a historical range. A variable you request that the dataset does not carry comes back null.
📊 Output
Station records (data mode)
| Field | Description |
|---|---|
🛟 station | Station or buoy ID |
🗂 datasetId | ERDDAP dataset the row came from |
📍 latitude | Station latitude |
📍 longitude | Station longitude |
🕒 time | Observation timestamp (UTC) |
🌊 wtmp | Water temperature (when requested) |
🌡 atmp | Air temperature (when requested) |
💨 wspd | Wind speed (when requested) |
🕒 scrapedAt | Collection timestamp |
❌ error | Null on success |
Requested variables beyond the four anchors are added as their own fields using the dataset's own variable names.
Real sample — station record
{"station": "41002","datasetId": "cwwcNDBCMet","latitude": 31.759,"longitude": -74.84,"time": "2026-06-08T16:00:00Z","wtmp": 26.1,"atmp": 25.4,"wspd": 6.0,"scrapedAt": "2026-06-08T17:09:21.000Z","error": null}
Dataset catalog (catalog mode)
| Field | Description |
|---|---|
📌 title | Dataset title |
🗂 datasetId | ERDDAP dataset ID |
🏛 institution | Institution that provides it |
🕘 minTime | Earliest time coverage |
🕛 maxTime | Latest time coverage |
🧭 minLongitude | West edge of coverage |
🧭 maxLongitude | East edge of coverage |
🧭 minLatitude | South edge of coverage |
🧭 maxLatitude | North edge of coverage |
🔗 tabledapUrl | tabledap base URL |
🔗 griddapUrl | griddap base URL |
🕒 scrapedAt | Collection timestamp |
❌ error | Null on success |
Real sample — catalog record
{"title": "NDBC Standard Meteorological Buoy Data, 1970-present","datasetId": "cwwcNDBCMet","institution": "NOAA NDBC, CoastWatch WCN","minTime": "1970-02-26T20:00:00Z","maxTime": "2026-06-08T16:00:00Z","minLongitude": -177.75,"maxLongitude": 179.999,"minLatitude": -55.0,"maxLatitude": 71.823,"tabledapUrl": "https://coastwatch.pfeg.noaa.gov/erddap/tabledap/cwwcNDBCMet","griddapUrl": null,"scrapedAt": "2026-06-08T17:09:21.000Z","error": null}
✨ Why choose this Actor
- Two modes in one Actor: pull station observations or browse the catalog.
- Smart default window anchors to the latest available data, so runs always return fresh rows.
- Pick exactly the measurement variables you need.
- Filter to a single station by ID.
- No account, no API key, and no login required.
📈 How it compares to alternatives
| Approach | Effort | Structured fields | Catalog browsing | Maintenance |
|---|---|---|---|---|
| This Actor | One run | Yes | Built in | None on your side |
| Hand-building ERDDAP URLs | Tedious | Manual | Manual | Constant |
| Writing your own client | Days | Depends | You build it | You own the upkeep |
🚀 How to use
- Create a free Apify account using this sign-up link.
- Open the NOAA CoastWatch ERDDAP Ocean Data Scraper.
- Choose a
mode(dataorcatalog). - For
data, setdatasetId,variables, an optional time window, and an optionalstationFilter. - Set
maxItems, click Start, and grab your results when the run finishes.
💼 Business use cases
Marine forecasting
| Goal | How this helps |
|---|---|
| Brief on sea conditions | Pull live water temp, air temp, and wind |
| Watch a specific buoy | Use stationFilter for one station |
Climate and ocean research
| Goal | How this helps |
|---|---|
| Build a time series | Set a historical startTime/endTime window |
| Survey available data | Use catalog mode to map coverage |
Coastal operations
| Goal | How this helps |
|---|---|
| Monitor a port approach | Track the nearest station's readings |
| Spot anomalies | Compare current readings to recent windows |
Data engineering
| Goal | How this helps |
|---|---|
| Catalog ERDDAP datasets | List every dataset with coverage and URLs |
| Feed a pipeline | Schedule station pulls into your warehouse |
🔌 Automating NOAA CoastWatch ERDDAP Scraper
Connect runs to the tools you already use:
- Make and Zapier to trigger runs and route records into sheets or databases.
- Slack to post the latest buoy readings to a channel.
- Airbyte to load results into a warehouse.
- GitHub Actions to schedule periodic snapshots.
- Google Drive to archive each run's output.
🌟 Beyond business use cases
- Research: assemble multi-year buoy time series for a study area.
- Personal: check sea temperature before a dive or a sail.
- Non-profit: power a community coastal-conditions board.
- Experimentation: prototype an ocean data app without an ERDDAP client.
🤖 Ask an AI assistant
Paste your results into ChatGPT, Claude, Perplexity, or Microsoft Copilot and ask it to chart water temperature over time, find the windiest stations, or map which datasets cover your region.
❓ Frequently Asked Questions
Do I need a NOAA account or API key? No. The Actor reads the public NOAA CoastWatch ERDDAP server, which needs no login.
What dataset does it use by default?
cwwcNDBCMet, the NDBC Standard Meteorological Buoy Data feed. You can point datasetId at any tabledap dataset on the server.
Which variables can I request?
Any variables the dataset offers. The defaults are wtmp, atmp, and wspd. station, longitude, latitude, and time are always included.
What if I leave the time window empty? The Actor reads the dataset's latest timestamp and pulls a recent one-hour window ending there, so you always get fresh data.
Can I get historical data?
Yes. Set startTime and endTime in ISO 8601 UTC to pull any past window.
How do I get only one station?
Set stationFilter to the exact station ID, for example 41002.
What is catalog mode for? It lists every dataset on the server with its title, institution, time and spatial coverage, and access URLs, so you can discover what is available.
Why is a variable null on some rows? Not every station reports every variable, and not every dataset carries every variable you request. Missing values come back null.
How fresh is the data? Each run reads live from ERDDAP, so station records reflect the latest published observations.
Can I schedule this? Yes. Use Apify Schedules to pull station readings on any cadence.
🔌 Integrate with any app
Results are available through the Apify API, so you can pull them into any app, database, or workflow you already run.
🔗 Recommended Actors
- USNO Astronomical Almanac Scraper
- NASA JPL Horizons Ephemeris Scraper
- More science and reference data Actors in the ParseForge collection
💡 Pro Tip: browse the complete ParseForge collection.
🆘 Need Help? Open our contact form
⚠️ Disclaimer: independent tool, not affiliated with NOAA or CoastWatch. Only publicly available data is collected.