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US Building Energy Benchmarking Data: EUI, ENERGY STAR & GHG

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Building energy benchmarking data for US & Canada: energy use intensity, ENERGY STAR score, electricity, gas, GHG emissions, floor area, property type and compliance status per building, normalized across programs. Export to JSON, CSV or Excel.

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from $20.00 / 1,000 results

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BuildingSignal

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2 days ago

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You can access the US Building Energy Benchmarking Data: EUI, ENERGY STAR & GHG programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

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HTTP

MCP

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            "title": "Cities / programs",
            "type": "array",
            "description": "Which benchmarking programs to include. Leave empty for all 22.",
            "items": {
              "type": "string",
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                "denver",
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                "detroit",
                "annarbor",
                "kansascity",
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                "nashville",
                "evanston",
                "boulder",
                "berkeley",
                "orlando",
                "ontario",
                "winnipeg",
                "calgary"
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                "Montgomery County, MD",
                "Nashville, TN (Metro buildings)",
                "Evanston, IL",
                "Boulder, CO",
                "Berkeley, CA (BESO)",
                "Orlando, FL (BEWES)",
                "Ontario, Canada (EWRB)",
                "Winnipeg, Canada (city buildings)",
                "Calgary, Canada (city buildings)"
              ]
            }
          },
          "reportingYears": {
            "title": "Reporting years",
            "type": "array",
            "description": "Only these reporting years, e.g. 2023, 2024. Leave empty for the most recent year of every building.",
            "items": {
              "type": "string"
            }
          },
          "latestYearOnly": {
            "title": "Latest year only",
            "type": "boolean",
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            "default": true
          },
          "propertyTypes": {
            "title": "Property types",
            "type": "array",
            "description": "Keep only buildings whose type contains any of these words, e.g. Office, Multifamily, Hotel, Warehouse.",
            "items": {
              "type": "string"
            }
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          "minFloorAreaSqft": {
            "title": "Min floor area (sq ft)",
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            "title": "Min site EUI (kBtu/sq ft)",
            "minimum": 0,
            "type": "integer",
            "description": "Only buildings using at least this much energy per square foot. High EUI = retrofit opportunity."
          },
          "maxSiteEui": {
            "title": "Max site EUI (kBtu/sq ft)",
            "minimum": 0,
            "type": "integer",
            "description": "Only buildings using at most this much energy per square foot."
          },
          "minEnergyStarScore": {
            "title": "Min ENERGY STAR score",
            "minimum": 0,
            "type": "integer",
            "description": "Only buildings with at least this ENERGY STAR score (1-100)."
          },
          "maxEnergyStarScore": {
            "title": "Max ENERGY STAR score",
            "minimum": 0,
            "type": "integer",
            "description": "Only buildings with at most this ENERGY STAR score (1-100). Low scores = inefficient buildings."
          },
          "complianceStatuses": {
            "title": "Compliance status",
            "type": "array",
            "description": "Keep only these reporting/compliance statuses.",
            "items": {
              "type": "string",
              "enum": [
                "compliant",
                "not_submitted",
                "non_compliant",
                "exempt",
                "pending"
              ],
              "enumTitles": [
                "Compliant / reported",
                "Not submitted",
                "Non-compliant",
                "Exempt",
                "Pending"
              ]
            }
          },
          "zipCodes": {
            "title": "ZIP / postal codes",
            "type": "array",
            "description": "Only buildings in these ZIP or postal codes.",
            "items": {
              "type": "string"
            }
          },
          "ownerKeyword": {
            "title": "Owner contains",
            "type": "string",
            "description": "Only buildings whose published owner or responsible entity contains this text (where the program publishes it)."
          },
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            "title": "Max buildings",
            "minimum": 1,
            "type": "integer",
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US Building Energy Benchmarking Data: EUI, ENERGY STAR & GHG OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for US Building Energy Benchmarking Data: EUI, ENERGY STAR & GHG from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

US Building Energy Benchmarking Data: EUI, ENERGY STAR & GHG API in Python

US Building Energy Benchmarking Data: EUI, ENERGY STAR & GHG API in JavaScript

US Building Energy Benchmarking Data: EUI, ENERGY STAR & GHG API through CLI

US Building Energy Benchmarking Data: EUI, ENERGY STAR & GHG API

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Scrape building permits from 26 US city and county open-data portals (NYC, Chicago, LA, SF, Seattle, Austin, Philadelphia, Boston, DC, Miami-Dade, more) into a normalized JSON schema. Filter by date, type, cost and keyword; monitor new permits for contractor, solar and roofing leads. $0.003/permit.

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