# NLM RxNorm Drug Concepts Scraper (`automation-lab/nlm-rxnorm-drug-concepts-scraper`) Actor

Normalize drug names, RxCUIs, and NDCs into RxNorm concepts with the public NLM RxNav API for healthcare data enrichment.

- **URL**: https://apify.com/automation-lab/nlm-rxnorm-drug-concepts-scraper.md
- **Developed by:** [Stas Persiianenko](https://apify.com/automation-lab) (community)
- **Categories:** Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.02 / 1,000 item extracteds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

## NLM RxNorm Drug Concepts Scraper

Normalize drug names, RxCUIs, and NDCs with the public NLM RxNav / RxNorm API.

This Apify Actor turns messy medication names, known RxNorm identifiers, and National Drug Codes into structured RxNorm concept rows for healthcare data workflows.

### What does NLM RxNorm Drug Concepts Scraper do?

It queries the official NLM RxNav REST API and returns normalized records.

- 💊 Search drug names such as `aspirin`, `Lipitor`, or `metformin 500 mg`.
- 🧬 Enrich known RxCUIs with related RxNorm concepts.
- 🏷️ Normalize NDCs to active RxNorm concepts.
- 🔗 Include source API URLs for auditability.
- 📊 Export clean rows to JSON, CSV, Excel, or API clients.

### Who is it for?

Healthcare data teams use this actor when medication records need a stable terminology key.

- EHR data engineers matching internal medication strings.
- Pharma catalog teams enriching products with RxCUIs.
- Formulary and benefits teams mapping branded and generic drugs.
- Compliance teams checking reference-data lineage.
- Analytics teams joining prescription, claims, NDC, and catalog data.

### Why use this actor?

RxNorm is a reference terminology, but operational teams still need repeatable extraction jobs.

- Run lookups on a schedule.
- Store repeatable datasets in Apify.
- Call from ETL tools, notebooks, or backend jobs.
- Keep source input and output rows together.
- Avoid writing one-off RxNav glue code.

### Data sources

The actor uses public NLM RxNav endpoints.

- `https://rxnav.nlm.nih.gov/REST/drugs.json`
- `https://rxnav.nlm.nih.gov/REST/rxcui/{rxcui}/allrelated.json`
- `https://rxnav.nlm.nih.gov/REST/rxcui/{rxcui}/ndcs.json`
- `https://rxnav.nlm.nih.gov/REST/ndcstatus.json`

### Data table

| Field | Description |
|---|---|
| `sourceInputType` | Input kind: drug name, RxCUI, or NDC. |
| `sourceInput` | Original value submitted by the user. |
| `relationship` | Row type such as search result or related concept. |
| `rxcui` | RxNorm concept unique identifier. |
| `tty` | RxNorm term type. |
| `name` | Concept name returned by RxNav. |
| `synonym` | Concept synonym when available. |
| `ndc` | National Drug Code when available. |
| `ndcStatus` | NDC status from RxNav. |
| `active` | Active flag for NDC rows. |
| `rxnormNdc` | Whether the NDC is listed as RxNorm NDC. |
| `conceptStatus` | Active status of the concept. |
| `suppress` | RxNorm suppress flag. |
| `language` | Concept language. |
| `umlscui` | UMLS CUI when supplied. |
| `apiUrl` | Exact RxNav URL used. |
| `scrapedAt` | Timestamp of extraction. |

### How much does it cost to normalize RxNorm drug concepts?

This actor uses pay-per-event pricing.

- A small start event is charged once per run.
- A result event is charged for each dataset row.
- Use `maxItems` to control cost during exploration.
- The default input is intentionally small enough for a first test.

### How to use it

1. Open the actor on Apify.
2. Enter drug names, RxCUIs, NDCs, or any combination.
3. Keep `includeRelatedConcepts` enabled for broader terminology context.
4. Keep `includeNdcs` enabled when NDC links matter.
5. Set `maxItems` to the number of rows you want.
6. Run the actor.
7. Export the dataset or call it from the API.

### Input options

#### Drug names

Use free-text medication names.

Examples:

- `aspirin`
- `atorvastatin`
- `metformin 500 mg`
- `Lipitor`

#### RxCUIs

Use known RxNorm concept IDs when you already have terminology keys.

Examples:

- `1191`
- `617314`

#### NDCs

Use NDCs when your source data is package-code oriented.

Examples:

- `00071015523`

### Output examples

```json
{
  "sourceInputType": "drugName",
  "sourceInput": "aspirin",
  "relationship": "searchResult",
  "rxcui": "1191",
  "tty": "IN",
  "name": "aspirin",
  "synonym": null,
  "ndc": null,
  "apiUrl": "https://rxnav.nlm.nih.gov/REST/drugs.json?name=aspirin"
}
````

```json
{
  "sourceInputType": "ndc",
  "sourceInput": "00071015523",
  "relationship": "ndcStatus",
  "rxcui": "617314",
  "name": "atorvastatin 10 MG Oral Tablet [Lipitor]",
  "ndc": "00071015523",
  "ndcStatus": "ACTIVE"
}
```

### Common workflows

#### Normalize medication strings

Load a list of drug names and export RxCUIs for downstream matching.

#### Enrich catalog records

Submit known RxCUIs and collect related concepts, brands, ingredients, packs, and dose forms.

#### Validate NDC inventory

Submit NDCs and check active RxNorm mapping status.

#### Build reference-data snapshots

Schedule recurring runs and store daily or weekly RxNav normalization outputs.

### Tips for best results

- Start with a small `maxItems` while validating your input.
- Use generic names and branded names when matching messy data.
- Use RxCUIs for precise enrichment.
- Use NDC input when the source system stores package identifiers.
- Keep the `apiUrl` field for audit trails.

### Integrations

Use this actor in healthcare ETL and analytics pipelines.

- Push output to a warehouse through Apify integrations.
- Trigger runs from Airflow, Dagster, or cron.
- Download CSV files into catalog QA workflows.
- Call from backend services that need RxNorm normalization.
- Combine with internal de-duplication and terminology governance jobs.

### API usage: Node.js

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

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('automation-lab/nlm-rxnorm-drug-concepts-scraper').call({
  drugNames: ['aspirin', 'atorvastatin'],
  maxItems: 100
});
console.log(run.defaultDatasetId);
```

### API usage: Python

```python
from apify_client import ApifyClient

client = ApifyClient('YOUR_APIFY_TOKEN')
run = client.actor('automation-lab/nlm-rxnorm-drug-concepts-scraper').call(run_input={
    'drugNames': ['aspirin', 'atorvastatin'],
    'maxItems': 100,
})
print(run['defaultDatasetId'])
```

### API usage: cURL

```bash
curl -X POST 'https://api.apify.com/v2/acts/automation-lab~nlm-rxnorm-drug-concepts-scraper/runs?token=YOUR_APIFY_TOKEN' \
  -H 'Content-Type: application/json' \
  -d '{"drugNames":["aspirin"],"maxItems":100}'
```

### MCP usage with Claude, Cursor, and VS Code

Use Apify MCP tools to run the actor from Claude Code, Claude Desktop, Cursor, or VS Code.

MCP URL:

`https://mcp.apify.com/?tools=automation-lab/nlm-rxnorm-drug-concepts-scraper`

Claude Code setup:

```bash
claude mcp add apify-rxnorm --transport http https://mcp.apify.com/?tools=automation-lab/nlm-rxnorm-drug-concepts-scraper
```

Claude Desktop setup:

Add this server to your Claude Desktop MCP configuration file and restart Claude Desktop.

```json
{
  "mcpServers": {
    "apify-rxnorm": {
      "url": "https://mcp.apify.com/?tools=automation-lab/nlm-rxnorm-drug-concepts-scraper"
    }
  }
}
```

Cursor setup:

Open Cursor settings, go to MCP servers, add a new HTTP server named `apify-rxnorm`, and use the MCP URL above.

VS Code setup:

Install an MCP-capable extension, add a new HTTP MCP server named `apify-rxnorm`, and paste the MCP URL above into the server URL field.

Example prompts:

- "Normalize these medication names with RxNorm and return RxCUIs."
- "Check whether these NDCs are active in RxNav."
- "Create a CSV of related RxNorm concepts for these RxCUIs."

### Scheduling

You can schedule the actor for recurring reference-data refreshes.

- Daily for active operations feeds.
- Weekly for catalog enrichment.
- Monthly for lower-change compliance snapshots.

### Error handling

The actor fails on upstream RxNav HTTP errors and logs the exact URL.

Rows are de-duplicated within a run.

The `maxItems` limit stops extraction once enough rows have been saved.

### Performance

This is an HTTP-only actor.

It does not use a browser.

It does not use proxies.

Most small runs finish quickly because RxNav returns compact JSON.

### Legality and compliance

RxNav is a public NLM service. Users are responsible for ensuring their use of the data and any downstream healthcare workflows comply with applicable laws, licenses, policies, and organizational controls.

This actor does not process PHI by itself unless you submit PHI in input values. Avoid submitting patient-specific data.

### FAQ

#### Does this actor replace clinical terminology governance?

No. It automates extraction and normalization lookups. Your organization should still validate mappings for clinical use.

#### Why do some rows not have NDCs?

Not every RxNorm concept has NDC links in the RxNav endpoint used by the actor.

#### Why are there many related concepts?

RxNorm includes ingredients, brands, packs, dose forms, and related normalized concepts. Use `maxItems` to control volume.

#### Can I submit only NDCs?

Yes. Leave drug names and RxCUIs empty and provide NDCs.

#### Can I submit only RxCUIs?

Yes. The actor can enrich known RxCUIs without drug-name search.

### Troubleshooting

#### My output is too broad

Lower `maxItems`, disable related concepts, or submit more specific drug names.

#### I got zero rows

Check spelling, try a generic drug name, or confirm the NDC is a valid code known to RxNav.

### Related scrapers and tools

Explore related Automation Lab actors on Apify:

- https://apify.com/automation-lab/website-contact-finder
- https://apify.com/automation-lab/google-maps-lead-finder
- https://apify.com/automation-lab/company-website-scraper

### Changelog

#### 0.1

Initial version with drug-name search, RxCUI enrichment, NDC status lookup, related concepts, and NDC links.

# Actor input Schema

## `drugNames` (type: `array`):

Free-text drug names or branded/generic search phrases to resolve through RxNorm.

## `rxcuis` (type: `array`):

Known RxNorm concept identifiers to enrich with related concepts and NDC links.

## `ndcs` (type: `array`):

National Drug Codes to normalize to active RxNorm concepts through RxNav NDC status.

## `maxItems` (type: `integer`):

Maximum records to emit across all names, RxCUIs, NDC statuses, relationships, and NDC links.

## `includeRelatedConcepts` (type: `boolean`):

Fetch /allrelated for discovered and supplied RxCUIs to include ingredients, brands, packs, dose forms, and related concept rows.

## `includeNdcs` (type: `boolean`):

Fetch /ndcs for discovered and supplied RxCUIs when RxNav exposes NDC links.

## Actor input object example

```json
{
  "drugNames": [
    "aspirin",
    "atorvastatin",
    "metformin"
  ],
  "rxcuis": [
    "1191",
    "617314"
  ],
  "ndcs": [
    "00071015523"
  ],
  "maxItems": 20,
  "includeRelatedConcepts": true,
  "includeNdcs": true
}
```

# Actor output Schema

## `overview` (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 = {
    "drugNames": [
        "aspirin",
        "atorvastatin",
        "metformin"
    ],
    "rxcuis": [
        "1191",
        "617314"
    ],
    "ndcs": [
        "00071015523"
    ],
    "maxItems": 20,
    "includeRelatedConcepts": true,
    "includeNdcs": true
};

// Run the Actor and wait for it to finish
const run = await client.actor("automation-lab/nlm-rxnorm-drug-concepts-scraper").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 = {
    "drugNames": [
        "aspirin",
        "atorvastatin",
        "metformin",
    ],
    "rxcuis": [
        "1191",
        "617314",
    ],
    "ndcs": ["00071015523"],
    "maxItems": 20,
    "includeRelatedConcepts": True,
    "includeNdcs": True,
}

# Run the Actor and wait for it to finish
run = client.actor("automation-lab/nlm-rxnorm-drug-concepts-scraper").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "drugNames": [
    "aspirin",
    "atorvastatin",
    "metformin"
  ],
  "rxcuis": [
    "1191",
    "617314"
  ],
  "ndcs": [
    "00071015523"
  ],
  "maxItems": 20,
  "includeRelatedConcepts": true,
  "includeNdcs": true
}' |
apify call automation-lab/nlm-rxnorm-drug-concepts-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=automation-lab/nlm-rxnorm-drug-concepts-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "NLM RxNorm Drug Concepts Scraper",
        "description": "Normalize drug names, RxCUIs, and NDCs into RxNorm concepts with the public NLM RxNav API for healthcare data enrichment.",
        "version": "0.1",
        "x-build-id": "XXJs4OJA4bOKgdLtc"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/automation-lab~nlm-rxnorm-drug-concepts-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-automation-lab-nlm-rxnorm-drug-concepts-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/automation-lab~nlm-rxnorm-drug-concepts-scraper/runs": {
            "post": {
                "operationId": "runs-sync-automation-lab-nlm-rxnorm-drug-concepts-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/automation-lab~nlm-rxnorm-drug-concepts-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-automation-lab-nlm-rxnorm-drug-concepts-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "properties": {
                    "drugNames": {
                        "title": "Drug names",
                        "type": "array",
                        "description": "Free-text drug names or branded/generic search phrases to resolve through RxNorm.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "rxcuis": {
                        "title": "RxCUIs",
                        "type": "array",
                        "description": "Known RxNorm concept identifiers to enrich with related concepts and NDC links.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "ndcs": {
                        "title": "NDCs",
                        "type": "array",
                        "description": "National Drug Codes to normalize to active RxNorm concepts through RxNav NDC status.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "maxItems": {
                        "title": "Maximum dataset rows",
                        "minimum": 1,
                        "maximum": 10000,
                        "type": "integer",
                        "description": "Maximum records to emit across all names, RxCUIs, NDC statuses, relationships, and NDC links.",
                        "default": 20
                    },
                    "includeRelatedConcepts": {
                        "title": "Include related RxNorm concepts",
                        "type": "boolean",
                        "description": "Fetch /allrelated for discovered and supplied RxCUIs to include ingredients, brands, packs, dose forms, and related concept rows.",
                        "default": true
                    },
                    "includeNdcs": {
                        "title": "Include NDCs for RxCUIs",
                        "type": "boolean",
                        "description": "Fetch /ndcs for discovered and supplied RxCUIs when RxNav exposes NDC links.",
                        "default": true
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```