# NYC Local Law 97 Carbon Penalty Estimator & Building Leads (`buildingsignal/nyc-ll97-carbon-penalty-leads`) Actor

NYC Local Law 97 exposure per building: estimated emissions, legal limit and annual carbon penalty for 2024-2029 and 2030-2034, with address, BBL, BIN, floor area, property uses and energy use from LL84 benchmarking. Export to JSON, CSV or Excel.

- **URL**: https://apify.com/buildingsignal/nyc-ll97-carbon-penalty-leads.md
- **Developed by:** [BuildingSignal](https://apify.com/buildingsignal) (community)
- **Categories:** Real estate, Lead generation, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $20.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## NYC Local Law 97 Carbon Penalty Estimator & Building Leads

Find the New York City buildings that face **Local Law 97 carbon penalties**. For every covered building (over 25,000 sq ft) the actor estimates annual emissions with the official LL97 coefficients, the building's emissions limit from its property uses, the excess over the limit and the **estimated annual penalty** ($268 per ton) for both the 2024-2029 and 2030-2034 periods.

**📥 [Input](https://apify.com/buildingsignal/nyc-ll97-carbon-penalty-leads/input-schema) · 📤 [Output](https://apify.com/buildingsignal/nyc-ll97-carbon-penalty-leads/output-schema) · 💰 [Pricing](https://apify.com/buildingsignal/nyc-ll97-carbon-penalty-leads/pricing)**

![Coverage](https://img.shields.io/badge/Coverage-New%20York%20City-blue)
![Output](https://img.shields.io/badge/Output-JSON%20%7C%20CSV%20%7C%20Excel-orange)
![Billing](https://img.shields.io/badge/Billing-Pay%20per%20result-brightgreen)

### Example result

This is one real record returned by the actor:

```json
{
  "buildingSignalId": "d961f609fb4a7942",
  "reportingYear": 2024,
  "propertyId": "8841",
  "propertyName": "733",
  "addressStreet": "733 Third Avenue",
  "borough": "Manhattan",
  "zip": "10017",
  "bbl": "1013190047",
  "bin": "1037596",
  "latitude": 40.753074,
  "longitude": -73.972753,
  "propertyType": "Office",
  "largestUseType": "Office",
  "secondUseType": "Restaurant",
  "thirdUseType": "Retail Store",
  "grossFloorAreaSqft": 389286,
  "yearBuilt": 1961,
  "residentialUnits": null,
  "energyStarScore": 63,
  "siteEuiKbtuSqft": 82.4,
  "electricityKwh": 4680610,
  "naturalGasTherms": 17731,
  "districtSteamKbtu": 14319701.5,
  "fuelOil2Kbtu": null,
  "fuelOil4Kbtu": null,
  "emissions2024Tco2e": 2090.1,
  "limit2024Tco2e": 3095.7,
  "excess2024Tco2e": -1005.7,
  "estimatedPenalty2024Usd": 0,
  "emissions2030Tco2e": 1391.5,
  "limit2030Tco2e": 1090.2,
  "excess2030Tco2e": 301.3,
  "estimatedPenalty2030Usd": 80752,
  "overLimit2024": false,
  "overLimit2030": true,
  "reportedGhgMtco2e": 2883,
  "source": "NYC LL84 + Local Law 97 emission factors (1 RCNY §103-14)",
  "observedAt": "2026-10-22T06:12:20.318Z"
}
```

### What you get

- **buildingSignalId**: Stable BuildingSignal building ID (same building across years and runs)
- **reportingYear**: Data year of the report
- **propertyId**: Portfolio Manager property ID
- **propertyName**: Property or building name
- **addressStreet**: Street address
- **borough**: NYC borough
- **zip**: ZIP or postal code
- **bbl**: NYC Borough-Block-Lot tax lot ID
- **bin**: NYC Building Identification Number (BIN)
- **latitude**: Latitude
- **longitude**: Longitude
- **propertyType**: Property type normalized to ENERGY STAR Portfolio Manager categories
- **largestUseType**: Largest property use type
- **secondUseType**: Second-largest property use type
- **thirdUseType**: Third-largest property use type
- **grossFloorAreaSqft**: Gross floor area (sq ft)
- **yearBuilt**: Year built
- **residentialUnits**: Number of residential units
- **energyStarScore**: ENERGY STAR score (1-100; 50 = national median, 75+ = top performer)
- **siteEuiKbtuSqft**: Site energy use intensity (kBtu per sq ft per year)
- **electricityKwh**: Annual grid electricity use (kWh)
- **naturalGasTherms**: Annual natural gas use (therms)
- **districtSteamKbtu**: Annual district steam use (kBtu)
- **fuelOil2Kbtu**: No. 2 fuel oil use (kBtu)
- **fuelOil4Kbtu**: No. 4 fuel oil use (kBtu)
- **emissions2024Tco2e**: Estimated LL97 emissions under 2024-2029 rules (tCO2e)
- **limit2024Tco2e**: LL97 emissions limit 2024-2029 (tCO2e)
- **excess2024Tco2e**: Emissions above (+) or below (-) the 2024-2029 limit (tCO2e)
- **estimatedPenalty2024Usd**: Estimated annual LL97 penalty 2024-2029 (USD, $268/tCO2e)
- **emissions2030Tco2e**: Estimated LL97 emissions under 2030-2034 rules (tCO2e)
- **limit2030Tco2e**: LL97 emissions limit 2030-2034 (tCO2e)
- **excess2030Tco2e**: Emissions above (+) or below (-) the 2030-2034 limit (tCO2e)
- **estimatedPenalty2030Usd**: Estimated annual LL97 penalty 2030-2034 (USD)
- **overLimit2024**: Over the 2024-2029 limit
- **overLimit2030**: Over the 2030-2034 limit
- **reportedGhgMtco2e**: GHG emissions reported in benchmarking (metric tons CO2e)
- **source**: Official source program or agency

### Who is it for

- LL97 compliance consultants and engineers
- ESCOs, HVAC, electrification and heat-pump contractors
- CRE brokers, lenders and investors pricing carbon risk
- Building owners benchmarking their portfolio

### Use cases

- Prospect buildings with the largest estimated penalties
- Size the retrofit opportunity per building in tons and dollars
- Prioritize a portfolio for decarbonization
- Screen acquisitions for future carbon liabilities

### How to use it

1. Open the **Input** tab and pick the filters you need (all are optional).
2. Set the maximum number of buildings to return.
3. Click **Start**. Results appear in the dataset as they are collected and can be exported to JSON, CSV or Excel, or pulled through the Apify API.
4. Schedule the actor (daily, weekly or monthly) to keep your list fresh.

### FAQ

**Is the penalty an official determination?**

No. It is an estimate computed from the building's published LL84 benchmarking data using the emission factors in 1 RCNY §103-14 and the LL97 coefficients. Actual penalties depend on the owner's filed report, deductions and adjustments.

**Which buildings are included?**

Buildings over 25,000 sq ft with LL84 energy data. Buildings with no reported energy use are skipped because their emissions cannot be estimated.

**Am I charged if a run fails or finds nothing?**

No. You pay only for records actually delivered to your dataset. Failed or empty runs cost nothing.

**Is there a free trial?**

Yes. Free Apify plans can run every actor and receive up to 10 results per run to evaluate the data.

**Where does the data come from?**

From official public records and open-data disclosures published by the government programs named on this page. BuildingSignal cleans, normalizes and standardizes them into one consistent schema.

**How fresh is the data?**

Each run reads the current official publication, so you always get the latest data the program has released. Schedule the actor to track changes over time.

**Can I use it with my CRM or BI tool?**

Yes. Export to CSV/Excel/JSON, call it through the Apify API, or connect it with Make, Zapier, n8n or Google Sheets integrations.

### Related BuildingSignal actors

- [US Building Energy Benchmarking Data: EUI, ENERGY STAR & GHG](https://apify.com/buildingsignal/us-building-energy-benchmarking)
- [Building Performance Standards Compliance: Non-Compliant Lists](https://apify.com/buildingsignal/building-performance-standards-compliance)
- [NYC Boiler & Burner Equipment Leads: Make, Model, Expiration](https://apify.com/buildingsignal/nyc-boiler-burner-equipment-leads)
- [Cooling Tower Registry & Legionella Compliance Data (New York)](https://apify.com/buildingsignal/cooling-tower-registry-legionella)
- [NYC Facade Inspection (FISP / Local Law 11) Unsafe Buildings](https://apify.com/buildingsignal/nyc-facade-inspection-fisp)
- [NYC Building Energy Grades (LL33) & Energy Audits (LL87)](https://apify.com/buildingsignal/nyc-building-energy-compliance-status)

***

*BuildingSignal is an independent data provider and is not affiliated with, endorsed by, or sponsored by any government agency or program named on this page. Data comes from official public records; always confirm critical decisions with the issuing agency.*

# Actor input Schema

## `compliancePeriod` (type: `string`):

Which LL97 period the over-limit filter uses. Both periods are always returned.

## `overLimitOnly` (type: `boolean`):

Return only buildings whose estimated emissions exceed the LL97 limit for the selected period.

## `minEstimatedPenaltyUsd` (type: `integer`):

Only buildings with at least this estimated annual LL97 penalty.

## `boroughs` (type: `array`):

Only these boroughs.

## `reportingYears` (type: `array`):

LL84 data years to use (default: latest per building).

## `propertyTypes` (type: `array`):

Keep only these property types, e.g. Office, Multifamily, Hotel.

## `minFloorAreaSqft` (type: `integer`):

LL97 covers buildings over 25,000 sq ft; raise to focus on larger buildings.

## `zipCodes` (type: `array`):

Only these ZIP codes.

## `maxBuildings` (type: `integer`):

Maximum number of buildings to return. Free Apify plans are limited to 10 per run.

## Actor input object example

```json
{
  "compliancePeriod": "2030-2034",
  "overLimitOnly": true,
  "maxBuildings": 50
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "compliancePeriod": "2030-2034",
    "maxBuildings": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("buildingsignal/nyc-ll97-carbon-penalty-leads").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "compliancePeriod": "2030-2034",
    "maxBuildings": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("buildingsignal/nyc-ll97-carbon-penalty-leads").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "compliancePeriod": "2030-2034",
  "maxBuildings": 50
}' |
apify call buildingsignal/nyc-ll97-carbon-penalty-leads --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,buildingsignal/nyc-ll97-carbon-penalty-leads"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/IHEgZQWJrNMz8V6WO/builds/EsMgeaBSfexKqGEvl/openapi.json