openSenseMap

Read live and past readings from openSenseMap's community sensor stations: find stations near a place, in an area or a group, read a station's latest temperature, humidity, fine dust and other values, pull a sensor's history and summarise readings across an area. No account or API key is needed.

Actions

Action	What it does
Find stations in a group	Find the stations their owners tagged with a group, such as a school, a university or a city project, most recently reporting first.
Find stations in an area	Find the sensor stations inside a rectangle on the map, most recently reporting first, each with its newest readings.
Find stations near a place	Find the sensor stations within a distance of a point, nearest first, each with what it measures and its newest readings.
Get a sensor's latest reading	Read the newest value of one sensor, such as a station's temperature, as a number with its unit.
Get a sensor's readings over time	Read one sensor's readings over a period, newest first, with the lowest, highest and average value.
Get a station	Read one station in full: where it is, how it is placed, its owner's description and every sensor with its newest reading.
Get a station's latest readings	Read the newest value of everything a station measures, each with its unit and when it was taken.
Get a station's location history	List where a station has reported from, oldest first.
Get openSenseMap totals	Read how many stations openSenseMap has, how many readings it holds and how many arrived in the last minute.
Get readings across stations	Read one measurement, such as temperature or fine dust, from every station in an area or from stations you list: each station's latest value, or every reading in the period.
Search stations by name	Find stations whose name contains some text.
Summarise readings over time	Work out a statistic, such as the average or the highest value, of each station's readings for every hour, day or other period, across an area or the stations you list.

Find stations in a group

Find the stations their owners tagged with a group, such as a school, a university or a city project, most recently reporting first.

Inputs

GroupgrouptextRequired: The group to list. Pick one or type it exactly as stations are tagged, for example ifgi.
Placementexposureslist: Only stations placed like this. Choose Outdoors for weather and air quality. Leave empty for every station.One or more of: outdoor (Outdoors), indoor (Indoors), mobile (On the move (bike, car, bus)), unknown (Not stated).
Measuresphenomenontext: Only stations with a sensor for this. Leave empty for every station. Stations name their sensors themselves, mostly in German, so each choice shows the name it matches in brackets.One of: Temperatur (Temperature (Temperatur)), rel. Luftfeuchte (Relative humidity (rel. Luftfeuchte)), Luftdruck (Air pressure (Luftdruck)), PM10 (Fine dust PM10), PM2.5 (Fine dust PM2.5), PM1 (Fine dust PM1), PM4 (Fine dust PM4), Beleuchtungsstärke (Light level (Beleuchtungsstärke)), UV-Intensität (UV intensity (UV-Intensität)), Lautstärke (Noise level (Lautstärke)), and 4 more.
Reported fromreported_fromdate and time: Only stations that sent a reading at or after this moment. Use it to skip stations that have gone quiet. Leave empty for every station.
Reported untilreported_untildate and time: With 'Reported from': the end of that period. Leave empty for up to now.
How many stationslimitnumber: How many stations to return (1-500). The total says how many matched.From 1 to 500. Default: 25.

Outputs

has_moretrue/false: Whether more matched than were returned
stationslist: The matching stations, most recently reporting first
totalnumber: How many matched in total

Example output

{
  "has_more": true,
  "stations": [
    {
      "created_at": "2021-08-02T12:03:49.808Z",
      "exposure": "outdoor",
      "group_tags": [
        "ifgi"
      ],
      "height_m": null,
      "id": "5a0c347b9fd3c2001111b701",
      "last_reported_at": "2026-10-16T00:16:29.992Z",
      "latitude": 51.962788,
      "link": "https://opensensemap.org/explore/5a0c347b9fd3c2001111b701",
      "longitude": 7.631133,
      "model": "homeV2Lora",
      "name": "VennheideBox",
      "sensors": [
        {
          "id": "6107df25c4aab8001b94e04a",
          "latest_at": "2026-10-16T00:16:29.992Z",
          "latest_value": 18.2,
          "phenomenon": "Temperatur",
          "sensor_type": "HDC1080",
          "unit": "\u00b0C"
        },
        {
          "id": "6107df25c4aab8001b94e049",
          "latest_at": "2026-10-16T00:16:29.992Z",
          "latest_value": 76.9,
          "phenomenon": "rel. Luftfeuchte",
          "sensor_type": "HDC1080",
          "unit": "%"
        },
        {
          "id": "6107df25c4aab8001b94e048",
          "latest_at": "2026-10-16T00:16:29.992Z",
          "latest_value": 1013.9,
          "phenomenon": "Luftdruck",
          "sensor_type": "BMP280",
          "unit": "hPa"
        }
      ]
    }
  ],
  "total": 14
}

Find stations in an area

Find the sensor stations inside a rectangle on the map, most recently reporting first, each with its newest readings.

Inputs

West edge (longitude)westnumberRequired: The longitude of the area's west edge, in decimal degrees, for example 7.55 for Münster. Keep each side under 5 degrees.From -180 to 180.
South edge (latitude)southnumberRequired: The latitude of the area's south edge, in decimal degrees, for example 51.9 for Münster. Keep each side under 5 degrees.From -90 to 90.
East edge (longitude)eastnumberRequired: The longitude of the area's east edge, in decimal degrees, for example 7.7 for Münster. Keep each side under 5 degrees.From -180 to 180.
North edge (latitude)northnumberRequired: The latitude of the area's north edge, in decimal degrees, for example 52.0 for Münster. Keep each side under 5 degrees.From -90 to 90.
Placementexposureslist: Only stations placed like this. Choose Outdoors for weather and air quality. Leave empty for every station.One or more of: outdoor (Outdoors), indoor (Indoors), mobile (On the move (bike, car, bus)), unknown (Not stated).
Measuresphenomenontext: Only stations with a sensor for this. Leave empty for every station. Stations name their sensors themselves, mostly in German, so each choice shows the name it matches in brackets.One of: Temperatur (Temperature (Temperatur)), rel. Luftfeuchte (Relative humidity (rel. Luftfeuchte)), Luftdruck (Air pressure (Luftdruck)), PM10 (Fine dust PM10), PM2.5 (Fine dust PM2.5), PM1 (Fine dust PM1), PM4 (Fine dust PM4), Beleuchtungsstärke (Light level (Beleuchtungsstärke)), UV-Intensität (UV intensity (UV-Intensität)), Lautstärke (Noise level (Lautstärke)), and 4 more.
Reported fromreported_fromdate and time: Only stations that sent a reading at or after this moment. Use it to skip stations that have gone quiet. Leave empty for every station.
Reported untilreported_untildate and time: With 'Reported from': the end of that period. Leave empty for up to now.
How many stationslimitnumber: How many stations to return (1-500). The total says how many matched.From 1 to 500. Default: 25.

Outputs

has_moretrue/false: Whether more matched than were returned
stationslist: The matching stations, most recently reporting first
totalnumber: How many matched in total

Example output

{
  "has_more": true,
  "stations": [
    {
      "created_at": "2021-08-02T12:03:49.808Z",
      "exposure": "outdoor",
      "group_tags": [],
      "height_m": null,
      "id": "6107df25c4aab8001b94e043",
      "last_reported_at": "2026-10-16T00:16:29.992Z",
      "latitude": 51.962788,
      "link": "https://opensensemap.org/explore/6107df25c4aab8001b94e043",
      "longitude": 7.631133,
      "model": "homeV2Lora",
      "name": "Stadtb\u00fccherei M\u00fcnster",
      "sensors": [
        {
          "id": "6107df25c4aab8001b94e04a",
          "latest_at": "2026-10-16T00:16:29.992Z",
          "latest_value": 18.2,
          "phenomenon": "Temperatur",
          "sensor_type": "HDC1080",
          "unit": "\u00b0C"
        },
        {
          "id": "6107df25c4aab8001b94e049",
          "latest_at": "2026-10-16T00:16:29.992Z",
          "latest_value": 76.9,
          "phenomenon": "rel. Luftfeuchte",
          "sensor_type": "HDC1080",
          "unit": "%"
        },
        {
          "id": "6107df25c4aab8001b94e048",
          "latest_at": "2026-10-16T00:16:29.992Z",
          "latest_value": 1013.9,
          "phenomenon": "Luftdruck",
          "sensor_type": "BMP280",
          "unit": "hPa"
        }
      ]
    }
  ],
  "total": 830
}

Find stations near a place

Find the sensor stations within a distance of a point, nearest first, each with what it measures and its newest readings.

Inputs

LatitudelatitudenumberRequired: The point's latitude, for example 51.9607 for Münster.From -90 to 90.
LongitudelongitudenumberRequired: The point's longitude, for example 7.6261 for Münster.From -180 to 180.
Within (km)radius_kmnumber: How far from the point to look, in kilometres (up to 50).From 0.1 to 50. Default: 2.
Placementexposureslist: Only stations placed like this. Choose Outdoors for weather and air quality. Leave empty for every station.One or more of: outdoor (Outdoors), indoor (Indoors), mobile (On the move (bike, car, bus)), unknown (Not stated).
Measuresphenomenontext: Only stations with a sensor for this. Leave empty for every station. Stations name their sensors themselves, mostly in German, so each choice shows the name it matches in brackets.One of: Temperatur (Temperature (Temperatur)), rel. Luftfeuchte (Relative humidity (rel. Luftfeuchte)), Luftdruck (Air pressure (Luftdruck)), PM10 (Fine dust PM10), PM2.5 (Fine dust PM2.5), PM1 (Fine dust PM1), PM4 (Fine dust PM4), Beleuchtungsstärke (Light level (Beleuchtungsstärke)), UV-Intensität (UV intensity (UV-Intensität)), Lautstärke (Noise level (Lautstärke)), and 4 more.
Reported fromreported_fromdate and time: Only stations that sent a reading at or after this moment. Use it to skip stations that have gone quiet. Leave empty for every station.
Reported untilreported_untildate and time: With 'Reported from': the end of that period. Leave empty for up to now.
How many stationslimitnumber: How many stations to return (1-500). The total says how many matched.From 1 to 500. Default: 25.

Outputs

has_moretrue/false: Whether more matched than were returned
stationslist: The matching stations, nearest first
totalnumber: How many matched in total

Example output

{
  "has_more": true,
  "stations": [
    {
      "created_at": "2021-08-02T12:03:49.808Z",
      "distance_km": 0.416,
      "exposure": "outdoor",
      "group_tags": [],
      "height_m": null,
      "id": "6107df25c4aab8001b94e043",
      "last_reported_at": "2026-10-16T00:16:29.992Z",
      "latitude": 51.962788,
      "link": "https://opensensemap.org/explore/6107df25c4aab8001b94e043",
      "longitude": 7.631133,
      "model": "homeV2Lora",
      "name": "Stadtb\u00fccherei M\u00fcnster",
      "sensors": [
        {
          "id": "6107df25c4aab8001b94e04a",
          "latest_at": "2026-10-16T00:16:29.992Z",
          "latest_value": 18.2,
          "phenomenon": "Temperatur",
          "sensor_type": "HDC1080",
          "unit": "\u00b0C"
        },
        {
          "id": "6107df25c4aab8001b94e049",
          "latest_at": "2026-10-16T00:16:29.992Z",
          "latest_value": 76.9,
          "phenomenon": "rel. Luftfeuchte",
          "sensor_type": "HDC1080",
          "unit": "%"
        },
        {
          "id": "6107df25c4aab8001b94e048",
          "latest_at": "2026-10-16T00:16:29.992Z",
          "latest_value": 1013.9,
          "phenomenon": "Luftdruck",
          "sensor_type": "BMP280",
          "unit": "hPa"
        }
      ]
    }
  ],
  "total": 7
}

Get a sensor's latest reading

Read the newest value of one sensor, such as a station's temperature, as a number with its unit.

Inputs

Stationstation_idtextRequired: The station's id or its link on opensensemap.org, for example https://opensensemap.org/explore/6107df25c4aab8001b94e043. The find and search actions return it as the station's id.
Sensorsensor_idtextRequired: Which of the station's sensors to read. Choose a station first and this lists what it measures, with units.

Outputs

measured_attext: When it was taken, as an ISO 8601 timestamp in UTC
phenomenontext: What it measures, as the station names it (e.g. Temperatur)
sensor_idtext: The sensor's id
sensor_typetext: The sensor's hardware model
station_idtext: The station's id
unittext: The unit its readings are in
valuenumber: The newest reading, or empty if none

Example output

{
  "measured_at": "2026-10-16T00:16:29.992Z",
  "phenomenon": "Temperatur",
  "sensor_id": "6107df25c4aab8001b94e04a",
  "sensor_type": "HDC1080",
  "station_id": "6107df25c4aab8001b94e043",
  "unit": "\u00b0C",
  "value": 18.2
}

Get a sensor's readings over time

Read one sensor's readings over a period, newest first, with the lowest, highest and average value.

Inputs

Stationstation_idtextRequired: The station's id or its link on opensensemap.org, for example https://opensensemap.org/explore/6107df25c4aab8001b94e043. The find and search actions return it as the station's id.
Sensorsensor_idtextRequired: Which of the station's sensors to read. Choose a station first and this lists what it measures, with units.
Fromfrom_timedate and time: The start of the period to read. Leave empty for the last 24 hours.
Toto_timedate and time: The end of the period to read. Leave empty for now.
How many readingslimitnumber: The most readings to return (1-10,000).From 1 to 10000. Default: 100.

Outputs

averagenumber: The average of the values returned
countnumber: How many readings were returned
fromtext: Start of the period read, as an ISO 8601 timestamp in UTC
has_moretrue/false: Whether the period held more readings than returned
highestnumber: The highest value returned
lowestnumber: The lowest value returned
phenomenontext: What it measures, as the station names it (e.g. Temperatur)
readingslist: The readings, newest first
sensor_idtext: The sensor's id
station_idtext: The station's id
totext: End of the period read, as an ISO 8601 timestamp in UTC
unittext: The unit its readings are in

Example output

{
  "average": 18.25,
  "count": 2,
  "from": "2026-10-15T00:17:38Z",
  "has_more": true,
  "highest": 18.3,
  "lowest": 18.2,
  "phenomenon": "Temperatur",
  "readings": [
    {
      "latitude": 51.962788,
      "longitude": 7.631133,
      "measured_at": "2026-10-16T00:16:29.992Z",
      "value": 18.2
    },
    {
      "latitude": 51.962788,
      "longitude": 7.631133,
      "measured_at": "2026-10-16T00:12:42.116Z",
      "value": 18.3
    }
  ],
  "sensor_id": "6107df25c4aab8001b94e04a",
  "station_id": "6107df25c4aab8001b94e043",
  "to": "2026-10-16T00:17:38Z",
  "unit": "\u00b0C"
}

Get a station

Read one station in full: where it is, how it is placed, its owner's description and every sensor with its newest reading.

Inputs

Stationstation_idtextRequired: The station's id or its link on opensensemap.org, for example https://opensensemap.org/explore/6107df25c4aab8001b94e043. The find and search actions return it as the station's id.

Outputs

created_attext: When it was registered, as an ISO 8601 timestamp in UTC
descriptiontext: The owner's description of the station
exposuretext: Where it is placed: outdoor, indoor, mobile or unknown
group_tagslist: The groups its owner tagged it with
height_mnumber: Its height above ground in metres, when the owner gave one
idtext: The station's id
image_urltext: Link to the owner's photo of it, if any
last_reported_attext: When it last sent a reading, as an ISO 8601 timestamp in UTC; empty if never
latitudenumber: Its latitude
linktext: The station's page on opensensemap.org
location_set_attext: When it was put where it is now, as an ISO 8601 timestamp in UTC
longitudenumber: Its longitude
modeltext: The station's hardware kit
nametext: The station's name
sensorslist: What it measures, each with its newest reading
updated_attext: When its record last changed, as an ISO 8601 timestamp in UTC
websitetext: A website the owner linked, if any

Example output

{
  "created_at": "2021-08-02T12:03:49.808Z",
  "description": "",
  "exposure": "outdoor",
  "group_tags": [],
  "height_m": null,
  "id": "6107df25c4aab8001b94e043",
  "image_url": "",
  "last_reported_at": "2026-10-16T00:16:29.992Z",
  "latitude": 51.962788,
  "link": "https://opensensemap.org/explore/6107df25c4aab8001b94e043",
  "location_set_at": "2021-08-02T12:03:49.802Z",
  "longitude": 7.631133,
  "model": "homeV2Lora",
  "name": "Stadtb\u00fccherei M\u00fcnster",
  "sensors": [
    {
      "id": "6107df25c4aab8001b94e04a",
      "latest_at": "2026-10-16T00:16:29.992Z",
      "latest_value": 18.2,
      "phenomenon": "Temperatur",
      "sensor_type": "HDC1080",
      "unit": "\u00b0C"
    },
    {
      "id": "6107df25c4aab8001b94e049",
      "latest_at": "2026-10-16T00:16:29.992Z",
      "latest_value": 76.9,
      "phenomenon": "rel. Luftfeuchte",
      "sensor_type": "HDC1080",
      "unit": "%"
    },
    {
      "id": "6107df25c4aab8001b94e048",
      "latest_at": "2026-10-16T00:16:29.992Z",
      "latest_value": 1013.9,
      "phenomenon": "Luftdruck",
      "sensor_type": "BMP280",
      "unit": "hPa"
    }
  ],
  "updated_at": "2026-10-16T00:16:30.012Z",
  "website": ""
}

Get a station's latest readings

Read the newest value of everything a station measures, each with its unit and when it was taken.

Inputs

Stationstation_idtextRequired: The station's id or its link on opensensemap.org, for example https://opensensemap.org/explore/6107df25c4aab8001b94e043. The find and search actions return it as the station's id.

Outputs

last_reported_attext: When its newest reading was taken, as an ISO 8601 timestamp in UTC
linktext: The station's page on opensensemap.org
readingslist: One reading per sensor
station_idtext: The station's id
station_nametext: The station's name

Example output

{
  "last_reported_at": "2026-10-16T00:16:29.992Z",
  "link": "https://opensensemap.org/explore/6107df25c4aab8001b94e043",
  "readings": [
    {
      "measured_at": "2026-10-16T00:16:29.992Z",
      "phenomenon": "Temperatur",
      "sensor_id": "6107df25c4aab8001b94e04a",
      "sensor_type": "HDC1080",
      "unit": "\u00b0C",
      "value": 18.2
    },
    {
      "measured_at": "2026-10-16T00:16:29.992Z",
      "phenomenon": "rel. Luftfeuchte",
      "sensor_id": "6107df25c4aab8001b94e049",
      "sensor_type": "HDC1080",
      "unit": "%",
      "value": 76.9
    },
    {
      "measured_at": "2026-10-16T00:16:29.992Z",
      "phenomenon": "Luftdruck",
      "sensor_id": "6107df25c4aab8001b94e048",
      "sensor_type": "BMP280",
      "unit": "hPa",
      "value": 1013.9
    }
  ],
  "station_id": "6107df25c4aab8001b94e043",
  "station_name": "Stadtb\u00fccherei M\u00fcnster"
}

Get a station's location history

List where a station has reported from, oldest first. A fixed station has one place; one on a bike or bus has many.

Inputs

Stationstation_idtextRequired: The station's id or its link on opensensemap.org, for example https://opensensemap.org/explore/6107df25c4aab8001b94e043. The find and search actions return it as the station's id.
Fromfrom_timedate and time: The start of the period to read. Leave empty for the station's whole history.
Toto_timedate and time: The end of the period to read. Leave empty for now.
How many locationslimitnumber: The most locations to return (1-10,000).From 1 to 10000. Default: 100.

Outputs

has_moretrue/false: Whether more matched than were returned
locationslist: The places it reported from, oldest first; the most recent ones when there are more than asked for
station_idtext: The station's id
totalnumber: How many matched in total

Example output

{
  "has_more": false,
  "locations": [
    {
      "height_m": null,
      "latitude": 51.962788,
      "longitude": 7.631133,
      "recorded_at": "2021-08-02T12:03:49.802Z"
    }
  ],
  "station_id": "6107df25c4aab8001b94e043",
  "total": 1
}

Get openSenseMap totals

Read how many stations openSenseMap has, how many readings it holds and how many arrived in the last minute.

Inputs

None.

Outputs

readings_last_minutenumber: How many readings arrived in the last minute
readings_totalnumber: How many readings openSenseMap holds
stationsnumber: How many stations are registered

Example output

{
  "readings_last_minute": 7157,
  "readings_total": 10323420404,
  "stations": 17139
}

Get readings across stations

Read one measurement, such as temperature or fine dust, from every station in an area or from stations you list: each station's latest value, or every reading in the period.

Inputs

MeasurementphenomenontextRequired: What to read, such as temperature or fine dust. Stations name their sensors themselves, mostly in German, so each choice shows the name it matches in brackets.One of: Temperatur (Temperature (Temperatur)), rel. Luftfeuchte (Relative humidity (rel. Luftfeuchte)), Luftdruck (Air pressure (Luftdruck)), PM10 (Fine dust PM10), PM2.5 (Fine dust PM2.5), PM1 (Fine dust PM1), PM4 (Fine dust PM4), Beleuchtungsstärke (Light level (Beleuchtungsstärke)), UV-Intensität (UV intensity (UV-Intensität)), Lautstärke (Noise level (Lautstärke)), and 4 more. Default: Temperatur.
Read fromwheretext: Every station in an area on the map, or the stations you list.One of: area (Every station in an area), stations (Stations I choose). Default: area.
West edge (longitude)westnumber: The longitude of the area's west edge, in decimal degrees, for example 7.55 for Münster. Keep each side under 5 degrees.Only when Read from is Every station in an area. From -180 to 180.
South edge (latitude)southnumber: The latitude of the area's south edge, in decimal degrees, for example 51.9 for Münster. Keep each side under 5 degrees.Only when Read from is Every station in an area. From -90 to 90.
East edge (longitude)eastnumber: The longitude of the area's east edge, in decimal degrees, for example 7.7 for Münster. Keep each side under 5 degrees.Only when Read from is Every station in an area. From -180 to 180.
North edge (latitude)northnumber: The latitude of the area's north edge, in decimal degrees, for example 52.0 for Münster. Keep each side under 5 degrees.Only when Read from is Every station in an area. From -90 to 90.
Stationsstation_idslist: The stations to read, one per row: each station's id or its opensensemap.org link. Up to 50.Only when Read from is Stations I choose.
Placementexposureslist: Only stations placed like this. Choose Outdoors for weather and air quality. Leave empty for every station.One or more of: outdoor (Outdoors), indoor (Indoors), mobile (On the move (bike, car, bus)), unknown (Not stated).
Fromfrom_timedate and time: The start of the period to read. Leave empty for the last hour.
Toto_timedate and time: The end of the period to read. Leave empty for now.
Readings to returnwhichtext: Each station's newest reading, or all of them.One of: latest (Each sensor's latest reading), all (Every reading). Default: latest.
How many readingslimitnumber: The most readings to return (1-10,000).From 1 to 10000. Default: 100.

Outputs

averagenumber: The average of the values returned
fromtext: Start of the period read, as an ISO 8601 timestamp in UTC
has_moretrue/false: Whether more matched than were returned
highestnumber: The highest value returned
lowestnumber: The lowest value returned
phenomenontext: What was read, as stations name it
readingslist: The readings, newest first
totext: End of the period read, as an ISO 8601 timestamp in UTC
totalnumber: How many matched in total

Example output

{
  "average": 16.76,
  "from": "2026-10-15T23:17:38Z",
  "has_more": false,
  "highest": 16.76,
  "lowest": 16.76,
  "phenomenon": "Temperatur",
  "readings": [
    {
      "exposure": "outdoor",
      "latitude": 51.961882,
      "longitude": 7.645843,
      "measured_at": "2026-10-16T00:17:36.259Z",
      "sensor_id": "682b3a8f7f7c2000081caa67",
      "station_id": "682b3a8f7f7c2000081caa66",
      "station_name": "Rudolf Carree",
      "unit": "\u00b0C",
      "value": 16.76
    }
  ],
  "to": "2026-10-16T00:17:38Z",
  "total": 31
}

Search stations by name

Find stations whose name contains some text. Returns each station's id, name and position; use Get a station for the rest.

Inputs

Name containsnametextRequired: Part of the station's name, for example 'Stadtbücherei'. Capital letters don't matter.
How many stationslimitnumber: The most stations to return (1-20).From 1 to 20. Default: 10.

Outputs

stationslist: The stations whose name matches
totalnumber: How many stations were returned

Example output

{
  "stations": [
    {
      "id": "6107df25c4aab8001b94e043",
      "latitude": 51.962788,
      "link": "https://opensensemap.org/explore/6107df25c4aab8001b94e043",
      "longitude": 7.631133,
      "name": "Stadtb\u00fccherei M\u00fcnster"
    }
  ],
  "total": 1
}

Summarise readings over time

Work out a statistic, such as the average or the highest value, of each station's readings for every hour, day or other period, across an area or the stations you list.

Inputs

MeasurementphenomenontextRequired: What to read, such as temperature or fine dust. Stations name their sensors themselves, mostly in German, so each choice shows the name it matches in brackets.One of: Temperatur (Temperature (Temperatur)), rel. Luftfeuchte (Relative humidity (rel. Luftfeuchte)), Luftdruck (Air pressure (Luftdruck)), PM10 (Fine dust PM10), PM2.5 (Fine dust PM2.5), PM1 (Fine dust PM1), PM4 (Fine dust PM4), Beleuchtungsstärke (Light level (Beleuchtungsstärke)), UV-Intensität (UV intensity (UV-Intensität)), Lautstärke (Noise level (Lautstärke)), and 4 more. Default: Temperatur.
Statisticoperationtext: What to work out from each period's readings.One of: arithmeticMean (Average), median, min (Lowest), max (Highest), sum (Total), standardDeviation (Standard deviation), variance, mode (Most common value), geometricMean (Geometric mean), harmonicMean (Harmonic mean), rootMeanSquare (Root mean square). Default: arithmeticMean.
Group readingswindowtext: How long each period the statistic covers is.One of: 10m (Every 10 minutes), 30m (Every 30 minutes), 1h (Every hour), 6h (Every 6 hours), 1d (Every day), 7d (Every week). Default: 1h.
Read fromwheretext: Every station in an area on the map, or the stations you list.One of: area (Every station in an area), stations (Stations I choose). Default: area.
West edge (longitude)westnumber: The longitude of the area's west edge, in decimal degrees, for example 7.55 for Münster. Keep each side under 5 degrees.Only when Read from is Every station in an area. From -180 to 180.
South edge (latitude)southnumber: The latitude of the area's south edge, in decimal degrees, for example 51.9 for Münster. Keep each side under 5 degrees.Only when Read from is Every station in an area. From -90 to 90.
East edge (longitude)eastnumber: The longitude of the area's east edge, in decimal degrees, for example 7.7 for Münster. Keep each side under 5 degrees.Only when Read from is Every station in an area. From -180 to 180.
North edge (latitude)northnumber: The latitude of the area's north edge, in decimal degrees, for example 52.0 for Münster. Keep each side under 5 degrees.Only when Read from is Every station in an area. From -90 to 90.
Stationsstation_idslist: The stations to read, one per row: each station's id or its opensensemap.org link. Up to 50.Only when Read from is Stations I choose.
Placementexposureslist: Only stations placed like this. Choose Outdoors for weather and air quality. Leave empty for every station.One or more of: outdoor (Outdoors), indoor (Indoors), mobile (On the move (bike, car, bus)), unknown (Not stated).
Fromfrom_timedate and time: The start of the period to read. Leave empty for the last 24 hours.
Toto_timedate and time: The end of the period to read. Leave empty for now.

Outputs

fromtext: Start of the period read, as an ISO 8601 timestamp in UTC
phenomenontext: What was summarised, as stations name it
stationslist: One entry per station sensor
statistictext: The statistic worked out, such as Average
totext: End of the period read, as an ISO 8601 timestamp in UTC
totalnumber: How many station sensors were summarised
windowtext: How the readings were grouped, such as Every hour

Example output

{
  "from": "2026-10-15T00:17:41Z",
  "phenomenon": "Temperatur",
  "stations": [
    {
      "exposure": "outdoor",
      "latest_value": 15.36,
      "latitude": 51.96422,
      "longitude": 7.645218,
      "sensor_id": "591f578c51d34600116a8ea6",
      "station_id": "591f578c51d34600116a8ea5",
      "station_name": "Wetterstation Erpho",
      "unit": "\u00b0C",
      "windows": [
        {
          "start": "2026-10-15T12:00:00.000Z",
          "value": 20.39
        },
        {
          "start": "2026-10-15T18:00:00.000Z",
          "value": 17.67
        },
        {
          "start": "2026-10-16T00:00:00.000Z",
          "value": 15.36
        }
      ]
    }
  ],
  "statistic": "Highest",
  "to": "2026-10-16T00:17:41Z",
  "total": 16,
  "window": "Every 6 hours"
}

ActionsCopy Anchor Link

Find stations in a groupCopy Anchor Link

Inputs

Outputs

Find stations in an areaCopy Anchor Link

Inputs

Outputs

Find stations near a placeCopy Anchor Link

Inputs

Outputs

Get a sensor's latest readingCopy Anchor Link

Inputs

Outputs

Get a sensor's readings over timeCopy Anchor Link

Inputs

Outputs

Get a stationCopy Anchor Link

Inputs

Outputs

Get a station's latest readingsCopy Anchor Link

Inputs

Outputs

Get a station's location historyCopy Anchor Link

Inputs

Outputs

Get openSenseMap totalsCopy Anchor Link

Inputs

Outputs

Get readings across stationsCopy Anchor Link

Inputs

Outputs

Search stations by nameCopy Anchor Link

Inputs

Outputs

Summarise readings over timeCopy Anchor Link

Inputs

Outputs

On this page

Actions

Find stations in a group

Find stations in an area

Find stations near a place

Get a sensor's latest reading

Get a sensor's readings over time

Get a station

Get a station's latest readings

Get a station's location history

Get openSenseMap totals

Get readings across stations

Search stations by name

Summarise readings over time