# Company Contact Enricher - Website to B2B Leads (`alizarin_refrigerator-owner/company-contact-enricher`) Actor

Transform company website URLs into enriched B2B contact data. Automatically scrapes team pages, detects email patterns, cross-references LinkedIn & identifies decision makers.

- Website Scanning

- Contact Extraction

- Email Pattern Detection

- LinkedIn Integration

- Title Filtering

- Webhooks

- **URL**: https://apify.com/alizarin\_refrigerator-owner/company-contact-enricher.md

- **Developed by:** [John Rippy](https://apify.com/alizarin_refrigerator-owner) (community)

- **Categories:** Lead generation, Automation, Integrations

- **Stats:** 9 total users, 7 monthly users, 100.0% runs succeeded, NaN bookmarks

- **User rating**: No ratings yet

## Pricing

from $0.01 / 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/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

## 🏢 Company Contact Enricher - Website to B2B Leads

**"Transform Websites into B2B Contact Data"** by [John Rippy](https://www.linkedin.com/in/johnrippy/) | [johnrippy.link](https://johnrippy.link/)

> 🏆 **2025 Zapier Automation Hero of the Year** — [Project Phoenix](https://zapier.com/blog/drive-social-media-scaling-sales-and-marketing/): A 95-step AI sales pipeline cutting development time by 50%. [Read more →](https://zapier.com/blog/zappy-awards-winners-2025/)

---

Transform company website URLs into enriched B2B contact data. Automatically scrapes team pages, detects email patterns, cross-references LinkedIn profiles, and identifies decision makers.

### Features

✅ **Website Scanning** - Crawls company sites for team/about pages
✅ **Contact Extraction** - Finds names, titles, emails, phone numbers
✅ **Email Pattern Detection** - Detects patterns like first.last@company.com
✅ **LinkedIn Integration** - Cross-references with LinkedIn profiles
✅ **Title Filtering** - Focus on decision makers (CEO, CTO, etc.)
✅ **Webhook Support** - Integrate with Zapier, Make, n8n
✅ **Demo Mode** - Test with sample data

### How It Works

````

┌─────────────────────────────────────────────────────┐
│            Company Contact Enricher                  │
├─────────────────────────────────────────────────────┤
│                                                     │
│  Website URLs ──► Crawl Team Pages ──► Extract     │
│                                          │          │
│                                          ▼          │
│                               ┌─────────────────┐   │
│                               │ Name, Title,    │   │
│                               │ Email, Phone    │   │
│                               └─────────────────┘   │
│                                          │          │
│              ┌───────────────────────────┴───┐      │
│              ▼                               ▼      │
│     ┌─────────────────┐          ┌────────────────┐ │
│     │ Email Pattern   │          │ LinkedIn       │ │
│     │ Detection       │          │ Lookup         │ │
│     └─────────────────┘          └────────────────┘ │
│              │                               │      │
│              └───────────────┬───────────────┘      │
│                              ▼                      │
│                     Enriched Dataset                │
│                                                     │
└─────────────────────────────────────────────────────┘

````

### Input Schema

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `demoMode` | boolean | No | `false` | Run with sample data to test without real scraping |
| `websiteUrls` | string[] | Yes* | `[]` | List of company website URLs to enrich |
| `lookupLinkedIn` | boolean | No | `true` | Cross-reference contacts with LinkedIn profiles |
| `detectEmailPattern` | boolean | No | `true` | Auto-detect email patterns (first.last@, flast@, etc.) |
| `targetTitles` | string[] | No | `["CEO", "CTO", ...]` | Filter contacts by job titles |
| `maxContactsPerSite` | integer | No | `20` | Maximum contacts to extract per website (1-100) |
| `includePhoneNumbers` | boolean | No | `true` | Attempt to find phone numbers |
| `webhookUrl` | string | No | - | URL to POST results when complete |
| `proxyConfiguration` | object | No | Residential | Apify proxy settings |

*Required unless `demoMode` is `true`

### Output Schema

Each contact in the dataset includes:

| Field | Type | Description |
|-------|------|-------------|
| `name` | string | Full name of the contact |
| `title` | string | Job title/position |
| `email` | string | Email address (found or derived) |
| `emailConfidence` | number | Confidence score: `1.0` = found on page, `0.75` = derived from pattern |
| `phone` | string | Phone number if found |
| `linkedInUrl` | string | LinkedIn profile URL |
| `company` | string | Company name (from page title) |
| `companyDomain` | string | Domain extracted from URL |
| `source` | string | Where contact was found (`"team page"`, `"about page"`, `"main page"`) |
| `scrapedAt` | string | ISO 8601 timestamp |

### Use Cases

🎯 **Sales Prospecting** - Build targeted lead lists from competitor or prospect websites
📧 **Email Outreach** - Find decision-maker emails for cold outreach campaigns
🔗 **LinkedIn Campaigns** - Get profile URLs for connection requests
📊 **Market Research** - Map company org structures and leadership teams
🤝 **Partnership Development** - Find the right contacts at potential partners
🔍 **Competitor Analysis** - Identify key personnel at competing companies

### Example Input

#### Basic Usage
```json
{
  "websiteUrls": [
    "https://acme-corp.com",
    "https://example-startup.io"
  ],
  "lookupLinkedIn": true,
  "detectEmailPattern": true,
  "targetTitles": ["CEO", "CTO", "VP Sales", "Marketing Director"],
  "maxContactsPerSite": 10
}
````

#### Focus on C-Suite Only

```json
{
  "websiteUrls": ["https://enterprise-company.com"],
  "targetTitles": ["CEO", "CFO", "CTO", "COO", "CMO"],
  "maxContactsPerSite": 5,
  "lookupLinkedIn": true
}
```

#### Quick Test with Demo Mode

```json
{
  "demoMode": true
}
```

#### With Webhook Integration

```json
{
  "websiteUrls": ["https://target-company.com"],
  "webhookUrl": "https://hooks.zapier.com/hooks/catch/123456/abcdef/",
  "targetTitles": ["Director", "Manager", "Head of"]
}
```

### Example Output

#### Single Contact

```json
{
  "name": "Jane Smith",
  "title": "Chief Executive Officer",
  "email": "jane.smith@acme-corp.com",
  "emailConfidence": 0.95,
  "phone": "+1 (555) 123-4567",
  "linkedInUrl": "https://linkedin.com/in/janesmith",
  "company": "Acme Corporation",
  "companyDomain": "acme-corp.com",
  "source": "team page",
  "scrapedAt": "2024-12-24T15:30:00Z"
}
```

#### Demo Mode Output (5 sample contacts)

```json
[
  {
    "name": "Jane Smith",
    "title": "Chief Executive Officer",
    "email": "jane.smith@acme-corp.com",
    "emailConfidence": 0.95,
    "company": "Acme Corporation"
  },
  {
    "name": "Michael Johnson",
    "title": "Chief Technology Officer",
    "email": "michael.johnson@acme-corp.com",
    "emailConfidence": 0.95,
    "company": "Acme Corporation"
  }
]
```

### Email Pattern Detection

The actor detects these common email patterns:

| Pattern | Example |
|---------|---------|
| `first.last` | `jane.smith@company.com` |
| `firstlast` | `janesmith@company.com` |
| `first_last` | `jane_smith@company.com` |
| `first` | `jane@company.com` |
| `f.last` | `j.smith@company.com` |
| `flast` | `jsmith@company.com` |
| `last.first` | `smith.jane@company.com` |

If an email is found on the page, `emailConfidence` is `1.0`. If derived from a pattern, `emailConfidence` is `0.75`.

### Team Page Detection

The actor automatically searches for these common paths:

- `/team`, `/our-team`
- `/about`, `/about-us`
- `/leadership`, `/management`
- `/people`, `/staff`
- `/who-we-are`
- `/company/team`, `/company/about`

It also follows internal links containing keywords like "team", "about", "leadership", and "people".

### Apify Integration

This actor can call other actors for enhanced enrichment:

- **linkedin-profile-scraper** - Enriches with LinkedIn data
- **website-crawler** - For deep website scanning

### Pricing

Pay-per-event model:

| Event | Cost | Description |
|-------|------|-------------|
| `website_scanned` | $0.05 | Each company website scanned |
| `contact_enriched` | $0.02 | Each contact found with email or LinkedIn |
| `linkedin_lookup` | $0.03 | Each LinkedIn profile lookup |

**Example costs:**

- 10 websites × 5 contacts each = $0.50 + $1.00 = **$1.50**
- With LinkedIn lookups: + $1.50 = **$3.00 total**

### FAQ

#### Why are some contacts missing emails?

- Some team pages only list names and photos without contact info
- The actor will attempt to derive emails using detected patterns
- Check `emailConfidence` - values below 1.0 indicate derived emails

#### Why doesn't LinkedIn lookup work for all contacts?

- LinkedIn profiles may not exist or may have privacy settings
- Name + company matching isn't always reliable
- The actor only charges for successful lookups

#### How long does it take?

- \~5-10 seconds per website
- LinkedIn lookups add ~2-3 seconds per contact
- Demo mode completes instantly

#### Can I filter by specific departments?

- Yes! Use `targetTitles` with department-specific keywords
- Example: `["Sales", "Marketing", "Business Development"]`

#### What if a website blocks scraping?

- The actor uses Apify's residential proxy pool
- Most websites are accessible, but some may block
- Failed websites are logged but don't count toward billing

### Error Handling

| Error | Cause | Solution |
|-------|-------|----------|
| "At least one website URL is required" | No URLs provided | Add URLs to `websiteUrls` or enable `demoMode` |
| "Failed to scrape" | Website blocked or timeout | Check if site is accessible, try different proxy |
| "No contacts found" | No team page detected | Site may not have a public team page |

### Integrations

#### Zapier

Send results to Zapier when the run completes:

```json
{
  "websiteUrls": ["https://example.com"],
  "webhookUrl": "https://hooks.zapier.com/hooks/catch/..."
}
```

#### Make (Integromat)

```json
{
  "webhookUrl": "https://hook.us1.make.com/..."
}
```

#### n8n

```json
{
  "webhookUrl": "https://your-n8n.com/webhook/..."
}
```

***

**Built by [John Rippy](https://www.linkedin.com/in/johnrippy/)** | [johnrippy.link](https://johnrippy.link/)

> 🏆 **2025 Zapier Automation Hero of the Year** — [Project Phoenix](https://zapier.com/blog/drive-social-media-scaling-sales-and-marketing/): A 95-step AI sales pipeline cutting development time by 50%. [Read more →](https://zapier.com/blog/zappy-awards-winners-2025/)

# Actor input Schema

## `demoMode` (type: `boolean`):

Run with sample data to test the actor without real scraping

## `websiteUrls` (type: `array`):

List of company website URLs to enrich (e.g., https://example.com)

## `lookupLinkedIn` (type: `boolean`):

Cross-reference found contacts with LinkedIn to get additional data

## `detectEmailPattern` (type: `boolean`):

Detect company email pattern (e.g., first.last@company.com) for contacts without emails

## `targetTitles` (type: `array`):

Filter contacts by job titles (e.g., CEO, CTO, Marketing Director)

## `maxContactsPerSite` (type: `integer`):

Maximum number of contacts to extract per website

## `includePhoneNumbers` (type: `boolean`):

Attempt to find phone numbers for contacts

## `webhookUrl` (type: `string`):

URL to send results to when enrichment completes (Zapier, Make, n8n, etc.)

## `proxyConfiguration` (type: `object`):

Proxy settings for web scraping

## Actor input object example

```json
{
  "demoMode": true,
  "websiteUrls": [
    "https://example.com"
  ],
  "lookupLinkedIn": true,
  "detectEmailPattern": true,
  "targetTitles": [
    "CEO",
    "CTO",
    "Founder",
    "Owner",
    "Director",
    "Manager"
  ],
  "maxContactsPerSite": 20,
  "includePhoneNumbers": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "websiteUrls": [
        "https://example.com"
    ],
    "targetTitles": [
        "CEO",
        "CTO",
        "Founder",
        "Owner",
        "Director",
        "Manager"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("alizarin_refrigerator-owner/company-contact-enricher").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 = {
    "websiteUrls": ["https://example.com"],
    "targetTitles": [
        "CEO",
        "CTO",
        "Founder",
        "Owner",
        "Director",
        "Manager",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("alizarin_refrigerator-owner/company-contact-enricher").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 '{
  "websiteUrls": [
    "https://example.com"
  ],
  "targetTitles": [
    "CEO",
    "CTO",
    "Founder",
    "Owner",
    "Director",
    "Manager"
  ]
}' |
apify call alizarin_refrigerator-owner/company-contact-enricher --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=alizarin_refrigerator-owner/company-contact-enricher",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Company Contact Enricher - Website to B2B Leads",
        "description": "Transform company website URLs into enriched B2B contact data. Automatically scrapes team pages, detects email patterns, cross-references LinkedIn & identifies decision makers.\n- Website Scanning \n- Contact Extraction \n- Email Pattern Detection \n- LinkedIn Integration \n- Title Filtering \n- Webhooks",
        "version": "1.0",
        "x-build-id": "s6ahEnnwGSG2Ea6r8"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/alizarin_refrigerator-owner~company-contact-enricher/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-alizarin_refrigerator-owner-company-contact-enricher",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/alizarin_refrigerator-owner~company-contact-enricher/runs": {
            "post": {
                "operationId": "runs-sync-alizarin_refrigerator-owner-company-contact-enricher",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/alizarin_refrigerator-owner~company-contact-enricher/run-sync": {
            "post": {
                "operationId": "run-sync-alizarin_refrigerator-owner-company-contact-enricher",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                    "demoMode": {
                        "title": "Demo Mode",
                        "type": "boolean",
                        "description": "Run with sample data to test the actor without real scraping",
                        "default": true
                    },
                    "websiteUrls": {
                        "title": "Website URLs",
                        "type": "array",
                        "description": "List of company website URLs to enrich (e.g., https://example.com)",
                        "items": {
                            "type": "string"
                        }
                    },
                    "lookupLinkedIn": {
                        "title": "Lookup LinkedIn Profiles",
                        "type": "boolean",
                        "description": "Cross-reference found contacts with LinkedIn to get additional data",
                        "default": true
                    },
                    "detectEmailPattern": {
                        "title": "Detect Email Pattern",
                        "type": "boolean",
                        "description": "Detect company email pattern (e.g., first.last@company.com) for contacts without emails",
                        "default": true
                    },
                    "targetTitles": {
                        "title": "Target Job Titles",
                        "type": "array",
                        "description": "Filter contacts by job titles (e.g., CEO, CTO, Marketing Director)",
                        "items": {
                            "type": "string"
                        }
                    },
                    "maxContactsPerSite": {
                        "title": "Max Contacts Per Site",
                        "minimum": 1,
                        "maximum": 100,
                        "type": "integer",
                        "description": "Maximum number of contacts to extract per website",
                        "default": 20
                    },
                    "includePhoneNumbers": {
                        "title": "Include Phone Numbers",
                        "type": "boolean",
                        "description": "Attempt to find phone numbers for contacts",
                        "default": true
                    },
                    "webhookUrl": {
                        "title": "Webhook URL",
                        "type": "string",
                        "description": "URL to send results to when enrichment completes (Zapier, Make, n8n, etc.)"
                    },
                    "proxyConfiguration": {
                        "title": "Proxy Configuration",
                        "type": "object",
                        "description": "Proxy settings for web scraping",
                        "default": {
                            "useApifyProxy": true,
                            "apifyProxyGroups": [
                                "RESIDENTIAL"
                            ]
                        }
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
