# Restaurant Lead Finder — POS & Delivery Detection (`seibs.co/restaurant-lead-finder`) Actor

Enriched Google Maps leads for US restaurants. Detects POS (Toast, Square, Clover, Lightspeed, TouchBistro, Revel), reservation platforms (OpenTable, Resy, Tock), delivery (DoorDash, UberEats, Grubhub) and direct-order (ChowNow, BentoBox). For restaurant SaaS sales teams and delivery partner growth.

- **URL**: https://apify.com/seibs.co/restaurant-lead-finder.md
- **Developed by:** [Justin Seibenhener](https://apify.com/seibs.co) (community)
- **Categories:** Lead generation, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.00 / 1,000 base lead records

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

## Restaurant Lead Finder

**Enriched restaurant leads with detected POS system, online ordering platform, delivery integrations, and reservation system — built for restaurant SaaS sales teams and delivery platform partner managers.**

The single biggest filter restaurant SaaS sales teams want is "show me independents in this metro who DON'T already use Toast" or "show me Aloha/Micros holdouts who'd be easy migrations." That's exactly what this actor produces.

---

### What you get

Real production output from a sample run on **Corner Restaurant** (Austin, Texas):

```json
{
  "name": "Corner Restaurant",
  "service_line": "full_service_restaurant",
  "address": {
    "city": "Austin",
    "state": "Texas",
    "zip": "78701",
    "lat": 30.2645703,
    "lng": -97.7438317
  },
  "phone": "(512) 608-4488",
  "website": "https://www.cornerrestaurantaustin.com/",
  "rating": 4.8,
  "reviews_count": 17931,
  "enrichment": {
    "tier": "premium",
    "emails": [
      "socialmedia@cornerrestaurantaustin.com"
    ],
    "social": {
      "facebook": "https://www.facebook.com/CornerATX",
      "instagram": "https://www.instagram.com/corneratx"
    },
    "tech_stack": [
      "chownow",
      "opentable",
      "google_tag_manager"
    ],
    "homepage_title": "Corner Restaurant Austin | Official Site",
    "homepage_status": 200,
    "bbb": {
      "rating": "A"
    }
  }
}
````

### Preview (real production data)

Single-record snapshot from the same run, rendered as a table:

| Field | Value |
|---|---|
| **Name** | Corner Restaurant |
| **Service line** | full\_service\_restaurant |
| **Location** | Austin, Texas |
| **Phone** | (512) 608-4488 |
| **Website** | https://www.cornerrestaurantaustin.com/ |
| **Rating** | 4.8 (17931 reviews) |
| **Email** | socialmedia@cornerrestaurantaustin.com |
| **Tech stack detected** | chownow, opentable, google\_tag\_manager |
| **BBB** | {"rating": "A"} |
| **Social channels** | facebook, instagram |

***

### Pricing — Pay Per Event

| Event | Price | When charged |
|---|---|---|
| Base record | $0.004 | Always, per emitted record |
| Email enrichment | + $0.004 | When at least one email is found |
| Premium signals | + $0.007 | When POS / ordering / delivery / reservation platform detected |

**Effective price per record:** $0.004 base / $0.008 with email / $0.015 fully enriched.

***

### Use cases

**Restaurant SaaS sales (Toast, Square, Clover, Lightspeed competitors).** Pull every full-service restaurant in a metro, filter to those that DO NOT have a detected POS — that's your no-stack list, the highest-conversion outbound segment. Or invert: pull the ones using a competitor and target them with migration offers.

**Delivery platform expansion (DoorDash, UberEats, Grubhub partnerships).** Find restaurants currently on a competitor's platform but not yours. Or restaurants with no detected delivery integration — the cold-pitch list.

**Direct-order platforms (ChowNow, BentoBox, Square Online).** Find independents stuck on Wix / generic websites with no online ordering. That's the highest-intent target for "your competitors are stealing 30% margin to DoorDash, switch to ChowNow direct."

**Reservation SaaS (OpenTable, Resy, Tock partner growth).** Find full-service restaurants without reservation platforms — opportunity list. Or filter to one platform's customers for poach campaigns.

**Restaurant PE / multi-unit roll-up.** Sort independents by review count and rating, exclude national chains, target city+cuisine combinations.

***

### POS, ordering, delivery, and reservation platforms detected

**POS:** Toast, Square, Clover, Lightspeed, TouchBistro, Revel, Aloha (NCR), Micros (Oracle Simphony), Upserve, Tabit.

**Direct ordering:** ChowNow, BentoBox, Toast online, Square Online.

**Delivery aggregators:** DoorDash, UberEats, Grubhub, Postmates.

**Reservations:** OpenTable, Resy, Tock, Yelp Reservations.

**Generic web:** Shopify, WordPress, Google Tag Manager, Facebook Pixel, Instagram embed.

***

### Restaurant types covered

`full_service_restaurant | fast_casual | qsr | cafe_bakery | bar_brewery | pizzeria | food_truck | ghost_kitchen`

***

### Built-in chain blocklist

60+ national chains pre-blocked when `exclude_chains: true` (default). McDonald's, Starbucks, Subway, Chipotle, Panera, Chick-fil-A, Applebee's, Olive Garden, Cheesecake Factory, Texas Roadhouse, etc.

***

### What this actor does NOT do (v1)

- No menu scraping (separate actor coming)
- No review text or sentiment NLP
- No SMTP-level email validation
- No phone validation
- No screenshots
- No non-US geographies
- No Yelp / TripAdvisor data layer (separate actor)

***

### Example: 1,500 independent full-service restaurants in Texas with no Toast

```json
{
  "search_terms": ["restaurants", "fine dining", "BBQ", "Mexican restaurant"],
  "locations": [
    "Austin, TX", "Dallas, TX", "Houston, TX", "San Antonio, TX",
    "Fort Worth, TX", "Plano, TX", "Arlington, TX"
  ],
  "max_results_per_query": 100,
  "enrichment_tier": "premium",
  "service_lines": ["full_service_restaurant"],
  "exclude_chains": true
}
```

Cost ceiling: 7 cities × 4 terms × 100 = 2,800 raw → ~1,800 after chain + type filters → at $0.015 fully enriched = **~$27 to find every independent full-service restaurant in major Texas metros with their POS / delivery stack mapped**. Filter the output for "no `toast` in tech\_stack" downstream and you have your Toast sales team's outbound list for the quarter.

***

### More from the SEIB portfolio

Same data engine, different vertical — pick the one that matches your buyer:

- 🔧 [Home Services Lead Finder](https://apify.com/seibs.co/home-services-lead-finder)
- 🚗 [Auto Dealerships Lead Finder](https://apify.com/seibs.co/auto-dealership-lead-finder)
- 🦷 [Healthcare Practices Lead Finder](https://apify.com/seibs.co/healthcare-practice-lead-finder)
- 🧘 [Fitness Studios Lead Finder](https://apify.com/seibs.co/fitness-studio-lead-finder)
- 📊 [Accounting Firms Lead Finder](https://apify.com/seibs.co/accounting-firm-lead-finder)
- 🔩 [Auto Repair Shops Lead Finder](https://apify.com/seibs.co/auto-repair-lead-finder)
- 🏗️ [Construction Contractors Lead Finder](https://apify.com/seibs.co/contract-heavy-smb-lead-finder)
- 🏨 [Hotels & Motels Lead Finder](https://apify.com/seibs.co/hotel-motel-lead-finder)
- ⚖️ [Law Firms Lead Finder](https://apify.com/seibs.co/law-firm-lead-finder)
- 🏢 [Real Estate Brokerages Lead Finder](https://apify.com/seibs.co/real-estate-brokerage-lead-finder)
- 💇 [Salons & Spas Lead Finder](https://apify.com/seibs.co/salon-spa-lead-finder)

All 12 actors share the same Pay-Per-Event pricing ($0.004 base / $0.008 with email / $0.015 with premium signals) and output schema. Mix-and-match across verticals without translation logic. Built by [Seibs Management LLC](https://apify.com/seibs.co).

# Actor input Schema

## `search_terms` (type: `array`):

Google Maps search queries. Combined with each location to form (term × location) tuples. Example: \['restaurants', 'cafe', 'pizza'].

## `locations` (type: `array`):

US locations to search in. Format: 'City, ST', neighborhood, or ZIP. Example: \['Austin, TX', 'East Austin', '78701'].

## `max_results_per_query` (type: `integer`):

Cap on records returned per (term × location) tuple. Hard ceiling 500.

## `enrichment_tier` (type: `string`):

Determines which signals are extracted and which Pay-Per-Event charges apply. base = Maps profile only ($0.004/record). email = + scraped email ($0.008/record). premium = + POS/delivery platform detection + reservation system + service area ($0.015/record).

## `service_lines` (type: `array`):

Restrict output to these restaurant types. Records that don't classify into one of these are dropped before enrichment. Leave empty to allow all.

## `exclude_chains` (type: `boolean`):

Drop records matching a built-in chain blocklist (McDonald's, Starbucks, Subway, Applebee's, Cheesecake Factory, etc. — 60+ major chains). Useful when targeting independents for SaaS sales.

## `max_concurrent_enrichments` (type: `integer`):

Parallel HTTP fetches against restaurant websites. Lower if you hit rate limits. 8 is safe.

## Actor input object example

```json
{
  "search_terms": [
    "restaurants"
  ],
  "locations": [
    "Austin, TX"
  ],
  "max_results_per_query": 50,
  "enrichment_tier": "premium",
  "service_lines": [],
  "exclude_chains": true,
  "max_concurrent_enrichments": 8
}
```

# 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 = {
    "search_terms": [
        "restaurants"
    ],
    "locations": [
        "Austin, TX"
    ],
    "max_results_per_query": 50,
    "enrichment_tier": "premium"
};

// Run the Actor and wait for it to finish
const run = await client.actor("seibs.co/restaurant-lead-finder").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 = {
    "search_terms": ["restaurants"],
    "locations": ["Austin, TX"],
    "max_results_per_query": 50,
    "enrichment_tier": "premium",
}

# Run the Actor and wait for it to finish
run = client.actor("seibs.co/restaurant-lead-finder").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 '{
  "search_terms": [
    "restaurants"
  ],
  "locations": [
    "Austin, TX"
  ],
  "max_results_per_query": 50,
  "enrichment_tier": "premium"
}' |
apify call seibs.co/restaurant-lead-finder --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=seibs.co/restaurant-lead-finder",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Restaurant Lead Finder — POS & Delivery Detection",
        "description": "Enriched Google Maps leads for US restaurants. Detects POS (Toast, Square, Clover, Lightspeed, TouchBistro, Revel), reservation platforms (OpenTable, Resy, Tock), delivery (DoorDash, UberEats, Grubhub) and direct-order (ChowNow, BentoBox). For restaurant SaaS sales teams and delivery partner growth.",
        "version": "0.1",
        "x-build-id": "zha1jFqxgOvD46fPy"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/seibs.co~restaurant-lead-finder/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-seibs.co-restaurant-lead-finder",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/seibs.co~restaurant-lead-finder/runs": {
            "post": {
                "operationId": "runs-sync-seibs.co-restaurant-lead-finder",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/seibs.co~restaurant-lead-finder/run-sync": {
            "post": {
                "operationId": "run-sync-seibs.co-restaurant-lead-finder",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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",
                "required": [
                    "search_terms",
                    "locations",
                    "enrichment_tier"
                ],
                "properties": {
                    "search_terms": {
                        "title": "Search terms",
                        "type": "array",
                        "description": "Google Maps search queries. Combined with each location to form (term × location) tuples. Example: ['restaurants', 'cafe', 'pizza'].",
                        "default": [
                            "restaurants"
                        ],
                        "items": {
                            "type": "string"
                        }
                    },
                    "locations": {
                        "title": "Locations",
                        "type": "array",
                        "description": "US locations to search in. Format: 'City, ST', neighborhood, or ZIP. Example: ['Austin, TX', 'East Austin', '78701'].",
                        "default": [
                            "Austin, TX"
                        ],
                        "items": {
                            "type": "string"
                        }
                    },
                    "max_results_per_query": {
                        "title": "Max results per query",
                        "minimum": 1,
                        "maximum": 500,
                        "type": "integer",
                        "description": "Cap on records returned per (term × location) tuple. Hard ceiling 500.",
                        "default": 50
                    },
                    "enrichment_tier": {
                        "title": "Enrichment tier",
                        "enum": [
                            "base",
                            "email",
                            "premium"
                        ],
                        "type": "string",
                        "description": "Determines which signals are extracted and which Pay-Per-Event charges apply. base = Maps profile only ($0.004/record). email = + scraped email ($0.008/record). premium = + POS/delivery platform detection + reservation system + service area ($0.015/record).",
                        "default": "premium"
                    },
                    "service_lines": {
                        "title": "Restaurant types (optional filter)",
                        "uniqueItems": true,
                        "type": "array",
                        "description": "Restrict output to these restaurant types. Records that don't classify into one of these are dropped before enrichment. Leave empty to allow all.",
                        "items": {
                            "type": "string",
                            "enum": [
                                "full_service_restaurant",
                                "fast_casual",
                                "qsr",
                                "cafe_bakery",
                                "bar_brewery",
                                "pizzeria",
                                "food_truck",
                                "ghost_kitchen"
                            ]
                        },
                        "default": []
                    },
                    "exclude_chains": {
                        "title": "Exclude national chains",
                        "type": "boolean",
                        "description": "Drop records matching a built-in chain blocklist (McDonald's, Starbucks, Subway, Applebee's, Cheesecake Factory, etc. — 60+ major chains). Useful when targeting independents for SaaS sales.",
                        "default": true
                    },
                    "max_concurrent_enrichments": {
                        "title": "Max concurrent website enrichments",
                        "minimum": 1,
                        "maximum": 32,
                        "type": "integer",
                        "description": "Parallel HTTP fetches against restaurant websites. Lower if you hit rate limits. 8 is safe.",
                        "default": 8
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```