# Google Maps Multi-Location Brand & Franchise Finder (`coregent/google-maps-multi-location-brand-finder`) Actor

Map an entire brand's footprint in minutes. This actor uses smart geographic gridding to find every location of a chain or franchise across cities and countries. Perfect for market analysis and competitor research.

- **URL**: https://apify.com/coregent/google-maps-multi-location-brand-finder.md
- **Developed by:** [Delowar Munna](https://apify.com/coregent) (community)
- **Categories:** Developer tools, Agents, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.40 / 1,000 location-results

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

## Google Maps Multi-Location Brand & Franchise Finder

![Google Maps Multi-Location Brand & Franchise Finder](https://raw.githubusercontent.com/coregentdevspace/google-maps-multi-location-brand-finder-assets/main/thumbnail-google-maps-multi-location-brand-finder.jpg)

**Map an entire brand's footprint in minutes.** Give the actor a list of brand names and the regions you care about — it discovers every Google Maps location of those chains or franchises, fuzzy-matches the name to filter out unrelated businesses, and deduplicates by Google `place_id` so overlapping search areas never double up. Output is a flat 14-column row per location, ready for CSV/Excel.

Built for **market researchers, real-estate analysts, site-selection teams, franchise auditors, and competitor-intelligence** workflows.

### What it does

For every `(brand × area)` combination in your input the actor:

1. Opens a Google Maps text search for `"{brand} in {area}"`.
2. Scrolls the results feed to the end-marker (or until your `maxResults` cap).
3. Extracts each location card — name, address fragment, lat/lng, phone, website, place_id, open status.
4. **Fuzzy-matches the brand name** (default threshold 0.8): `Starbucks Reserve - Empire State Building` keeps; `Starbucks Auto Repair` drops.
5. Filters out permanently closed locations (and temporarily closed too, unless you opt in).
6. **Deduplicates by Google `place_id`** across all searches, so overlapping areas don't double-charge.
7. Pushes the row to the dataset and charges one `location-result` event.

Single-phase pipeline, no website crawling — fast and predictable.

### 📥 Sample inputs

#### Single brand, multiple boroughs

```json
{
    "brandNames": ["Starbucks"],
    "searchArea": ["Manhattan, NY", "Brooklyn, NY", "Queens, NY"],
    "maxResults": 500,
    "strictMatching": true,
    "includeTemporarilyClosed": false,
    "proxyConfiguration": { "useApifyProxy": true }
}
````

#### Multiple competing brands across cities

```json
{
    "brandNames": ["McDonald's", "Burger King", "Wendy's"],
    "searchArea": ["Austin, TX", "Dallas, TX", "Houston, TX"],
    "maxResults": 1000,
    "strictMatching": true,
    "includeTemporarilyClosed": false,
    "proxyConfiguration": { "useApifyProxy": true }
}
```

#### International franchise sweep with strict matching off

```json
{
    "brandNames": ["Hilton"],
    "searchArea": ["London, UK", "Paris, France", "Berlin, Germany"],
    "maxResults": 200,
    "strictMatching": false,
    "includeTemporarilyClosed": true,
    "proxyConfiguration": { "useApifyProxy": true }
}
```

### 📤 Output

Each result is a flat 14-field row.

![Brand locations table view](https://raw.githubusercontent.com/coregentdevspace/google-maps-multi-location-brand-finder-assets/main/google-maps-multi-location-brand-finder-output-brand-locations-table-view.png)

| Field              | Type           | Description                                                        |
| ------------------ | -------------- | ------------------------------------------------------------------ |
| `place_id`         | string         | Unique Google place identifier — the dedup key.                    |
| `brand_name`       | string         | The input brand the search was run for.                            |
| `store_name`       | string         | Official Google Maps name of the location.                         |
| `full_address`     | string         | Address fragment as shown on the result card (typically street).   |
| `city`             | string         | Parsed from address when a full multi-segment address is present.  |
| `state`            | string         | Parsed from address when present.                                  |
| `country`          | string         | Parsed from address when present.                                  |
| `latitude`         | number         | Decimal degrees, from the listing URL.                             |
| `longitude`        | number         | Decimal degrees, from the listing URL.                             |
| `phone`            | string         | Phone number when shown on the card.                               |
| `website`          | string         | Official store URL when linked from the card.                      |
| `is_verified`      | boolean / null | Reserved for v1.1 (Google claim/verified badge). Currently `null`. |
| `match_confidence` | number         | 0.0-1.0 brand-name match score (≥ 0.8 to pass `strictMatching`).   |
| `is_open_status`   | string         | `open_now`, `closed_now`, `temporarily_closed`, or `unknown`.      |
| `scraped_at`       | string         | ISO 8601 timestamp.                                                |

#### Sample output record (Brand locations · table / JSON)

```json
{
    "place_id": "0x89c259941b4ec91f:0xc4f3e8da38e8d2b9",
    "brand_name": "Starbucks",
    "store_name": "Starbucks Reserve - Empire State Building",
    "full_address": "350 5th Ave",
    "city": "",
    "state": "",
    "country": "",
    "latitude": 40.74839,
    "longitude": -73.98489,
    "phone": "(332) 209-4785",
    "website": "https://www.starbucksreserve.com/locations/empire-state-building",
    "is_verified": null,
    "match_confidence": 0.95,
    "is_open_status": "closed_now",
    "scraped_at": "2026-05-10T06:36:13.848Z"
}
```

A `RUN_SUMMARY` record is also written to the default key-value store with counters: `brands_searched`, `areas_covered`, `total_search_pairs`, `successful_searches`, `failed_searches`, `raw_results_found`, `total_locations_found`, `duplicates_removed`, `filtered_out_mismatch`, `filtered_out_closed`, `charged_events`, `cap_warnings`, `runtime_seconds`, `scraped_at`.

#### A note on `city` / `state` / `country`

Google Maps result cards typically show only the **street fragment** of an address (e.g. `350 5th Ave`), not the full multi-line address. The actor parses the segments it can see — when the card includes a full address with city/state/country, those fields populate; when it doesn't, they're left blank rather than being mis-filled with the street. The `latitude` / `longitude` and `place_id` always identify the exact location regardless.

### 💵 Pricing

Pay-Per-Event. **One event:**

- **`location-result`** — charged once per unique brand location pushed to the dataset (place\_id-deduplicated, brand-matched, not permanently closed).

You can set a per-run spending cap on the Apify console; the actor honours it and stops pushing as soon as the cap is reached.

#### 🚦 Proxy policy

Use **Apify Datacenter** proxy or **no proxy** for normal runs — both work reliably for Google Maps text search at this actor's conservative concurrency.

**Apify Residential proxy is not supported.** The actor will fail at startup if `apifyProxyGroups` includes `RESIDENTIAL`. Reason: in pay-per-event actors, residential bandwidth (~/GB) is billed to the developer, not the run user, so a single bandwidth-heavy run could exceed the per-result event revenue.

If you genuinely need residential routing, supply your own residential provider via the proxy editor's **Custom proxy URLs** field — that traffic goes through your provider, not Apify, and is unaffected:

```
http://user:pass@proxy.iproyal.com:12321
http://user:pass@proxy.brightdata.com:22225
http://user:pass@proxy.oxylabs.io:7777
```

### 🗺️ Tips for full coverage

Google Maps caps each text search at roughly 120-200 results. To map every store of a large brand:

- Provide reasonably-sized `searchArea` entries (e.g. boroughs, cities, or districts — not whole countries).
- The actor logs a `cap_warnings` counter when a single search returns enough results to suggest the cap was hit; subdivide that area into smaller pieces and re-run.
- Overlapping areas are safe — `place_id` deduplication prevents double-charging.

### Changelog

- **1.0** — Initial release. Brand × area cross-product search, fuzzy brand-match filter (threshold 0.8), place\_id-first dedup, single PPE event (`location-result`), Apify residential blocked at startup with BYO custom-proxy support.

# Actor input Schema

## `brandNames` (type: `array`):

List of brands or franchises to map (e.g. \["Starbucks", "Hilton"]). Each brand is searched in every area below, so total searches = brands × areas.

## `searchArea` (type: `array`):

Geographic areas to search in (e.g. \["Manhattan, NY", "Brooklyn, NY"]). Smaller, well-defined areas (city/borough/district) work best — Google Maps caps results per search, so very large areas like a whole country may miss locations. Provide reasonable sub-areas for full coverage.

## `maxResults` (type: `integer`):

Safety cap on the total number of unique locations saved per run, across all brand × area searches.

## `strictMatching` (type: `boolean`):

When enabled, only keep results whose store name closely matches the brand name (match confidence ≥ 0.8). Filters out unrelated businesses like "McDonald's Auto Repair" when searching for the fast-food chain.

## `includeTemporarilyClosed` (type: `boolean`):

When enabled, locations marked "Temporarily closed" on Google are kept. Permanently closed locations are always dropped.

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

Apify Proxy configuration. Defaults to Apify Proxy enabled (Datacenter). Apify Residential is NOT supported and will fail the run at startup; if you need residential routing, supply your own provider via Custom proxy URLs (proxyUrls).

## Actor input object example

```json
{
  "brandNames": [
    "Starbucks"
  ],
  "searchArea": [
    "Manhattan, NY",
    "Brooklyn, NY"
  ],
  "maxResults": 500,
  "strictMatching": true,
  "includeTemporarilyClosed": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `overview` (type: `string`):

Flat 14-field table of every unique brand location discovered, including place\_id, store name, address, city/state/country, latitude/longitude, phone, website, brand-match confidence, and open-status flag.

# 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 = {
    "brandNames": [
        "Starbucks"
    ],
    "searchArea": [
        "Manhattan, NY",
        "Brooklyn, NY"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("coregent/google-maps-multi-location-brand-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 = {
    "brandNames": ["Starbucks"],
    "searchArea": [
        "Manhattan, NY",
        "Brooklyn, NY",
    ],
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("coregent/google-maps-multi-location-brand-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 '{
  "brandNames": [
    "Starbucks"
  ],
  "searchArea": [
    "Manhattan, NY",
    "Brooklyn, NY"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call coregent/google-maps-multi-location-brand-finder --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=coregent/google-maps-multi-location-brand-finder",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Google Maps Multi-Location Brand & Franchise Finder",
        "description": "Map an entire brand's footprint in minutes. This actor uses smart geographic gridding to find every location of a chain or franchise across cities and countries. Perfect for market analysis and competitor research.",
        "version": "1.0",
        "x-build-id": "k2jSZMKfcmmVD2yzd"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/coregent~google-maps-multi-location-brand-finder/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-coregent-google-maps-multi-location-brand-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/coregent~google-maps-multi-location-brand-finder/runs": {
            "post": {
                "operationId": "runs-sync-coregent-google-maps-multi-location-brand-finder",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/coregent~google-maps-multi-location-brand-finder/run-sync": {
            "post": {
                "operationId": "run-sync-coregent-google-maps-multi-location-brand-finder",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": [
                    "brandNames",
                    "searchArea"
                ],
                "properties": {
                    "brandNames": {
                        "title": "Brand names",
                        "type": "array",
                        "description": "List of brands or franchises to map (e.g. [\"Starbucks\", \"Hilton\"]). Each brand is searched in every area below, so total searches = brands × areas.",
                        "default": [
                            "Starbucks"
                        ],
                        "items": {
                            "type": "string"
                        }
                    },
                    "searchArea": {
                        "title": "Search areas",
                        "type": "array",
                        "description": "Geographic areas to search in (e.g. [\"Manhattan, NY\", \"Brooklyn, NY\"]). Smaller, well-defined areas (city/borough/district) work best — Google Maps caps results per search, so very large areas like a whole country may miss locations. Provide reasonable sub-areas for full coverage.",
                        "default": [
                            "Manhattan, NY"
                        ],
                        "items": {
                            "type": "string"
                        }
                    },
                    "maxResults": {
                        "title": "Max results per run",
                        "minimum": 1,
                        "maximum": 5000,
                        "type": "integer",
                        "description": "Safety cap on the total number of unique locations saved per run, across all brand × area searches.",
                        "default": 500
                    },
                    "strictMatching": {
                        "title": "Strict brand-name matching",
                        "type": "boolean",
                        "description": "When enabled, only keep results whose store name closely matches the brand name (match confidence ≥ 0.8). Filters out unrelated businesses like \"McDonald's Auto Repair\" when searching for the fast-food chain.",
                        "default": true
                    },
                    "includeTemporarilyClosed": {
                        "title": "Include temporarily closed locations",
                        "type": "boolean",
                        "description": "When enabled, locations marked \"Temporarily closed\" on Google are kept. Permanently closed locations are always dropped.",
                        "default": false
                    },
                    "proxyConfiguration": {
                        "title": "Proxy configuration",
                        "type": "object",
                        "description": "Apify Proxy configuration. Defaults to Apify Proxy enabled (Datacenter). Apify Residential is NOT supported and will fail the run at startup; if you need residential routing, supply your own provider via Custom proxy URLs (proxyUrls).",
                        "default": {
                            "useApifyProxy": 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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```