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fastCRW Pergamon
Public records · US

City of Seattle

data.seattle.gov

Official City of Seattle municipal data: police crime reports, arrests, stops, use of force and accountability complaints, fire and police 911 dispatch, building, land use, trade and electrical permits with plan review and fees, code enforcement, rental and short-term-rental registration, energy benchmarking, parking transactions and occupancy, traffic and bicycle counts, drawbridge openings, budgets, salaries, business licences, 311 service requests, parks and library data, plus the City Council's bodies, members, legislation, meetings and roll-call votes from Legistar.

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1Request

How many rows to return. The upstream caps a single page at 50000.

Exact-match filter on the dataset's elmntkey column.

Exact-match filter on the dataset's study_area column.

1 credit⌘ ↵
Code follows the fields above
curl "https://api.fastcrw.com/v1/data/seattleopendata/annual-parking-study?limit=50" \
  -H "Authorization: Bearer $FASTCRW_API_KEY"

2Response example

A sample shape. Press Run to see live data from City of Seattle.

JSON
[
  {
    "elmntkey": "88478",
    "study_area": "Columbia City",
    "sub_area": "UNPAID",
    "date_time": "3/28/2018 18:00",
    "side": "S",
    "unitdesc": "S HUDSON ST BETWEEN 37TH AVE S AND RAINIER AVE S",
    "parking_spaces": "7",
    "total_vehicle_count": "6",
    "dp_count": "0",
    "rpz_count": "1",
    "tg_car2go": "0",
    "bmw_dn": "0",
    "construction": "No",
    "event_closure": "No",
    "subarea_label": "Columbia City (UNPAID Subarea)",
    "study_year": "2018",
    "peak_hour_yes_or_no": "No"
  },
  {
    "elmntkey": "88478",
    "study_area": "Columbia City",
    "sub_area": "UNPAID",
    "date_time": "3/28/2018 19:00",
    "side": "S",
    "unitdesc": "S HUDSON ST BETWEEN 37TH AVE S AND RAINIER AVE S",
    "parking_spaces": "7",
    "total_vehicle_count": "7",
    "dp_count": "0",
    "rpz_count": "0",
    "tg_car2go": "0",
    "bmw_dn": "0",
    "construction": "No",
    "event_closure": "No",
    "subarea_label": "Columbia City (UNPAID Subarea)",
    "study_year": "2018",
    "peak_hour_yes_or_no": "No"
  },
  {
    "elmntkey": "88478",
    "study_area": "Columbia City",
    "sub_area": "UNPAID",
    "date_time": "3/28/2018 20:00",
    "side": "S",
    "unitdesc": "S HUDSON ST BETWEEN 37TH AVE S AND RAINIER AVE S",
    "parking_spaces": "7",
    "total_vehicle_count": "7",
    "dp_count": "0",
    "rpz_count": "0",
    "tg_car2go": "0",
    "bmw_dn": "0",
    "construction": "No",
    "event_closure": "No",
    "subarea_label": "Columbia City (UNPAID Subarea)",
    "study_year": "2018",
    "peak_hour_yes_or_no": "No"
  },
  {
    "elmntkey": "88478",
    "study_area": "Columbia City",
    "sub_area": "UNPAID",
    "date_time": "3/28/2018 21:00",
    "side": "S",
    "unitdesc": "S HUDSON ST BETWEEN 37TH AVE S AND RAINIER AVE S",
    "parking_spaces": "7",
    "total_vehicle_count": "7",
    "dp_count": "0",
    "rpz_count": "0",
    "tg_car2go": "0",
    "bmw_dn": "0",
    "construction": "No",
    "event_closure": "No",
    "subarea_label": "Columbia City (UNPAID Subarea)",
    "study_year": "2018",
    "peak_hour_yes_or_no": "No"
  },
  {
    "elmntkey": "88478",
    "study_area": "Columbia City",
    "sub_area": "UNPAID",
    "date_time": "3/28/2018 22:00",
    "side": "S",
    "unitdesc": "S HUDSON ST BETWEEN 37TH AVE S AND RAINIER AVE S",
    "parking_spaces": "7",
    "total_vehicle_count": "5",
    "dp_count": "0",
    "rpz_count": "0",
    "tg_car2go": "0",
    "bmw_dn": "0",
    "construction": "No",
    "event_closure": "No",
    "subarea_label": "Columbia City (UNPAID Subarea)",
    "study_year": "2018",
    "peak_hour_yes_or_no": "No"
  },
  {
    "elmntkey": "88634",
    "study_area": "Chinatown/ID",
    "sub_area": "Core",
    "date_time": "4/25/2018 23:00",
    "side": "S",
    "unitdesc": "S KING ST BETWEEN 6TH AVE S AND MAYNARD AVE S",
    "parking_spaces": "7",
    "total_vehicle_count": "3",
    "dp_count": "2",
    "construction": "No",
    "event_closure": "No",
    "subarea_label": "Chinatown/ID (Core Subarea)",
    "study_year": "2018",
    "peak_hour_yes_or_no": "No"
  },
  {
    "elmntkey": "89526",
    "study_area": "Pioneer Square",
    "sub_area": "Core",
    "date_time": "4/24/2018 16:00",
    "side": "S",
    "unitdesc": "S WASHINGTON ST BETWEEN OCCIDENTAL AVE S AND 2ND AVE S",
    "parking_spaces": "7",
    "total_vehicle_count": "8",
    "dp_count": "2",
    "construction": "No",
    "event_closure": "No",
    "subarea_label": "Pioneer Square (Core Subarea)",
    "study_year": "2018",
    "peak_hour_yes_or_no": "No"
  },
  {
    "elmntkey": "89526",
    "study_area": "Pioneer Square",
    "sub_area": "Core",
    "date_time": "4/24/2018 17:00",
    "side": "S",
    "unitdesc": "S WASHINGTON ST BETWEEN OCCIDENTAL AVE S AND 2ND AVE S",
    "parking_spaces": "7",
    "total_vehicle_count": "7",
    "dp_count": "2",
    "construction": "No",
    "event_closure": "No",
    "subarea_label": "Pioneer Square (Core Subarea)",
    "study_year": "2018",
    "peak_hour_yes_or_no": "No"
  },
  {
    "elmntkey": "94611",
    "study_area": "South Lake Union",
    "sub_area": "North",
    "date_time": "4/18/2018 19:00",
    "side": "SE",
    "unitdesc": "FAIRVIEW NR AVE N BETWEEN WARD ST AND YALE AVE N",
    "parking_spaces": "27",
    "total_vehicle_count": "9",
    "construction": "No",
    "event_closure": "No",
    "subarea_label": "South Lake Union (North Subarea)",
    "study_year": "2018",
    "peak_hour_yes_or_no": "No"
  },
  {
    "elmntkey": "94846",
    "study_area": "Chinatown/ID",
    "sub_area": "Core",
    "date_time": "4/25/2018 23:00",
    "side": "N",
    "unitdesc": "S KING ST BETWEEN CANTON AL S AND 8TH AVE S",
    "parking_spaces": "2",
    "total_vehicle_count": "0",
    "construction": "No",
    "event_closure": "No",
    "subarea_label": "Chinatown/ID (Core Subarea)",
    "study_year": "2018",
    "peak_hour_yes_or_no": "No"
  },
  "… 40 more items"
]

Attribution: Source: City of Seattle Open Data Program (data.seattle.gov); City Council records via Seattle Legistar

Licence: To the extent the data consists of a list of individuals or can be readily sorted, filtered, or configured as a list of individuals, it is not to be used for a commercial purpose.

Ask with this source

A prompt for your agent that names this source and how to call it through the crw MCP.

  • Annual parking study

    Use City of Seattle (seattleopendata) from fastCRW Pergamon, capability "Annual parking study" (annual-parking-study). You want surveyed parking utilisation for a Seattle neighbourhood, including unpaid and RPZ blocks. Example options: limit=50. Use the crw MCP tools: crw_find_data to confirm the source and its options, then crw_get_data with provider "seattleopendata" and capability "annual-parking-study". Tell me the credits used and cite the licence from the response. If the crw MCP tools are missing, install them with: npx -y crw-mcp install --api-key <your fastCRW API key>

  • Energy benchmarking performance ranges

    Use City of Seattle (seattleopendata) from fastCRW Pergamon, capability "Energy benchmarking performance ranges" (benchmarking-performance-ranges). You want the Seattle peer benchmark a building's energy performance should be compared against. Example options: limit=50. Use the crw MCP tools: crw_find_data to confirm the source and its options, then crw_get_data with provider "seattleopendata" and capability "benchmarking-performance-ranges". Tell me the credits used and cite the licence from the response. If the crw MCP tools are missing, install them with: npx -y crw-mcp install --api-key <your fastCRW API key>

  • Building permits

    Use City of Seattle (seattleopendata) from fastCRW Pergamon, capability "Building permits" (building-permits). You want Seattle construction permits, housing-unit counts or project values by address, status or date. Example options: limit=50. Use the crw MCP tools: crw_find_data to confirm the source and its options, then crw_get_data with provider "seattleopendata" and capability "building-permits". Tell me the credits used and cite the licence from the response. If the crw MCP tools are missing, install them with: npx -y crw-mcp install --api-key <your fastCRW API key>

  • Burke-Gilman Trail counter

    Use City of Seattle (seattleopendata) from fastCRW Pergamon, capability "Burke-Gilman Trail counter" (burke-gilman-counter). You want Burke-Gilman Trail volumes in north Seattle by hour. Example options: limit=50. Use the crw MCP tools: crw_find_data to confirm the source and its options, then crw_get_data with provider "seattleopendata" and capability "burke-gilman-counter". Tell me the credits used and cite the licence from the response. If the crw MCP tools are missing, install them with: npx -y crw-mcp install --api-key <your fastCRW API key>