# Supermarket & Grocery Scraper – OpenStreetMap Store Data (`dataquarry/supermarkets`) Actor

Extract supermarkets, grocery & convenience stores from OpenStreetMap by area, radius, or name. Get brand, opening hours, organic, payment methods, wheelchair access and address. No API key; open (ODbL) data.

- **URL**: https://apify.com/dataquarry/supermarkets.md
- **Developed by:** [Daniel Brenner](https://apify.com/dataquarry) (community)
- **Categories:** Lead generation, E-commerce, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 results

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

Learn more: https://docs.apify.com/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

## Supermarket & Grocery Scraper – OpenStreetMap Store Data

Extract **supermarkets, grocery & convenience stores from OpenStreetMap** by area, radius, or name — **no API key, no anti-bot battles, no Terms-of-Service violations**. Open, legal (ODbL) data you can redistribute.

Give it an area like `"Berlin, Germany"` and get back tidy rows for every supermarket, grocery and convenience store: name, **brand** (Edeka, Lidl, Rewe, Aldi, Netto, Penny, Kaufland …) and its Wikidata id, operator, opening hours, whether it's **organic**, **accepted payment methods**, **wheelchair** accessibility, full address, coordinates, and the raw OpenStreetMap tags. You can also search **around a point** (every store within X km of an address) or **filter by name/brand** (e.g. every `"Aldi"` or `"Lidl"`).

### Why use this scraper?

- **Grocery-specific fields.** Not just a generic POI dump — brand + brand Wikidata id, organic flag, accepted payment methods, opening hours and wheelchair access, all straight from OpenStreetMap.
- **Legal & open.** OpenStreetMap data is licensed under the ODbL — redistributable with attribution. No Terms-of-Service violation, no login, no scraping a retailer's site.
- **No API key.** No data-provider account, no per-call quota.
- **Search by area, radius, or name/brand.** A whole city/country, everything within X metres of a point, or every store of one brand.
- **Pick the store types.** Supermarkets, convenience stores, greengrocers — or any subset.
- **No duplicates.** When OpenStreetMap maps one store twice (a node and an area), you get a single, richer row.
- **Honest data.** Every value comes straight from OpenStreetMap; anything not mapped is left empty (`null`) — never guessed or padded.
- **Global coverage & reliable.** Anywhere OSM has data; retries across multiple Overpass mirrors.

### Great for

- Retail location intelligence & store-network mapping
- Brand coverage & market-share analysis (Edeka vs. Rewe vs. Lidl vs. Aldi …)
- Site selection & catchment / competition analysis for new stores
- Local-commerce, delivery and "find a supermarket near me" apps
- Lead generation for FMCG / grocery suppliers, and AI/RAG pipelines

### Input

| Field | Type | Description |
|---|---|---|
| `area` | string | Place to search within, e.g. `"Berlin, Germany"`. Geocoded to a bounding box. |
| `aroundLocation` | string | *(optional)* Address/place to search **around** within a radius, e.g. `"Alexanderplatz, Berlin"`. Pair with `radiusMeters`. |
| `radiusMeters` | integer | *(optional)* Radius in metres for around-a-location search (default `5000`). |
| `centerPoint` | object | *(advanced)* Explicit center `{ "lat":.., "lon":.. }` to search around. |
| `boundingBox` | object | *(advanced)* Explicit `{ "south":.., "west":.., "north":.., "east":.. }`. Overrides `area`. |
| `storeTypes` | array | *(optional)* Which store types to include — any of `supermarket`, `convenience`, `greengrocer`. Default: all of them. |
| `searchTerm` | string | *(optional)* Only return stores whose **name** contains this text (case-insensitive), e.g. `"Aldi"`. |
| `maxResults` | integer | Maximum number of stores to return (default `1000`). |

#### Example input

```json
{
  "area": "Berlin, Germany",
  "storeTypes": ["supermarket", "convenience"],
  "maxResults": 500
}
````

Every Lidl within 10 km of a point:

```json
{
  "aroundLocation": "Alexanderplatz, Berlin",
  "radiusMeters": 10000,
  "searchTerm": "Lidl"
}
```

### Output

One row per store:

| Field | Description |
|---|---|
| `name` | Store name |
| `brand`, `brand_wikidata`, `operator` | Brand, its Wikidata id, and who operates the store |
| `branch` | Branch / location name of a chain outlet (OSM `branch`), e.g. `Times Square` — disambiguates multiple outlets of one chain; `null` when not tagged |
| `brand_logo` | Official brand logo image URL, from the brand's Wikidata entity (P154) when it has one; `null` otherwise (optional enrichment — never guessed) |
| `shop` | OSM store type: `supermarket`, `convenience`, or `greengrocer` |
| `opening_hours` | Opening hours (OSM syntax) |
| `organic` | Organic offering when tagged (`yes` / `only` / `no`) |
| `wheelchair` | Wheelchair accessibility (yes/no/limited) when tagged |
| `payment_methods` | Array of accepted payment methods, e.g. `["cash","visa","mastercard"]` |
| `latitude`, `longitude` | Coordinates |
| `street`, `housenumber`, `city`, `postcode`, `country` | Address |
| `state` | State / province (`addr:state` / `addr:province`) — common in US/CA/AU, `null` where not tagged |
| `phone`, `website` | Contact |
| `osm_id`, `osm_type`, `all_tags`, `source_url` | OpenStreetMap identifiers, raw tags, and link |
| `full_address` | All present address parts in one string (e.g. `Main St 1, 10115 Berlin`) |
| `map_url` | Google Maps link to the coordinates |

#### Example output

```json
{
  "name": "Edeka",
  "brand": "Edeka",
  "brand_wikidata": "Q701755",
  "operator": "Edeka Müller",
  "shop": "supermarket",
  "opening_hours": "Mo-Sa 08:00-22:00",
  "organic": "only",
  "wheelchair": "yes",
  "payment_methods": ["cash", "visa", "mastercard"],
  "city": "Berlin",
  "street": "Beusselstraße",
  "housenumber": "55",
  "postcode": "10553",
  "country": "DE",
  "latitude": 52.5301,
  "longitude": 13.3217,
  "osm_type": "node",
  "source_url": "https://www.openstreetmap.org/node/..."
}
```

Any field is `null` (or an empty array) when the store hasn't tagged it in OpenStreetMap — values are never guessed.

### FAQ

**Do I need an API key or account?**
No — give it an area (plus optional radius/name/brand filters) and run. No data-provider key, no quota, no setup.

**Is the data legal to use and redistribute?**
Yes. It comes from OpenStreetMap under the Open Database License (ODbL): public data you can redistribute with attribution (© OpenStreetMap contributors). No logins, no Terms-of-Service violations.

**How is this different from a delivery-app (Glovo/iFood) or Google Maps scraper?**
It uses open OpenStreetMap data instead of scraping a site behind anti-bot defenses and Terms of Service — so it's legal, needs no API key, and returns an honest `null` for anything OSM hasn't mapped instead of guessing. You get store locations and attributes (brand, organic, payment, hours) across all chains — not one retailer's catalogue.

**How much does it cost?**
Pay-per-result: **$3 per 1,000 results** — you only pay for the rows you actually get.

**Which countries does it cover?**
Worldwide — anywhere OpenStreetMap has data.

**How fresh is the data?**
It's pulled live from OpenStreetMap at run time, so it reflects the current map.

### Data source & license

Data comes from **OpenStreetMap** via the public **Nominatim** (geocoding) and **Overpass** (querying) APIs. OpenStreetMap data is **© OpenStreetMap contributors**, licensed under the **Open Database License (ODbL)**. If you publish or redistribute results, attribute "© OpenStreetMap contributors".

### Notes

- Coverage and tag richness vary by region — OSM is community-mapped, so dense, well-surveyed areas (e.g. much of Europe) are richer. Brand, opening-hours and wheelchair tagging is especially strong in Germany, the UK, and the Netherlands.

### More OpenStreetMap data actors

Part of **dataquarry**'s family of clean, ODbL OpenStreetMap extractors — same flexible **area / radius / bounding-box / name** search, same honest-null data (a field that isn't mapped is left empty, never guessed):

- [OpenStreetMap Places Scraper](https://apify.com/dataquarry/osm-places-scraper) — POI & local business, 115+ categories
- [EV Charging Stations Scraper](https://apify.com/dataquarry/ev-charging-stations) — socket types, power (kW), networks
- [Hotels & Lodging Scraper](https://apify.com/dataquarry/hotels-lodging) — stars, rooms, brands
- [Healthcare Facilities Scraper](https://apify.com/dataquarry/healthcare-facilities) — pharmacies, doctors, dentists, clinics
- [Tourist Attractions & Museums Scraper](https://apify.com/dataquarry/tourist-attractions) — Wikidata & Wikipedia links
- [Fuel Station Scraper](https://apify.com/dataquarry/fuel-stations) — fuel types, brands, payment methods
- [Supermarket & Grocery Scraper](https://apify.com/dataquarry/supermarkets) — brands, organic, payment methods

# Actor input Schema

## `area` (type: `string`):

Place to search within, e.g. "Berlin, Germany". Geocoded to a bounding box via Nominatim. Provide this OR a bounding box OR a center for radius search.

## `aroundLocation` (type: `string`):

Optional. An address or place to search AROUND within a radius, e.g. "Alexanderplatz, Berlin". Geocoded to a center point; set the radius with "radiusMeters".

## `radiusMeters` (type: `integer`):

Radius in meters for the around-a-location search (used with Around Location or Center Point). Default 5000.

## `centerPoint` (type: `object`):

Optional advanced alternative: an explicit center as {"lat":.., "lon":..} to search around. Overrides Around Location when set.

## `boundingBox` (type: `object`):

Explicit bounding box as {"south":..,"west":..,"north":..,"east":..}. Overrides Area when set.

## `storeTypes` (type: `array`):

Which store types to include. Supported: supermarket, convenience, greengrocer. Default: all of them.

## `searchTerm` (type: `string`):

Optional. Only return stores whose name contains this text (case-insensitive), e.g. "Edeka", "Lidl", "Aldi", "Rewe".

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

Maximum number of supermarkets / grocery stores to return.

## Actor input object example

```json
{
  "area": "Berlin, Germany",
  "radiusMeters": 5000,
  "storeTypes": [
    "supermarket",
    "convenience"
  ],
  "maxResults": 1000
}
```

# 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 = {
    "area": "Berlin, Germany",
    "storeTypes": [
        "supermarket",
        "convenience"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("dataquarry/supermarkets").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 = {
    "area": "Berlin, Germany",
    "storeTypes": [
        "supermarket",
        "convenience",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("dataquarry/supermarkets").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 '{
  "area": "Berlin, Germany",
  "storeTypes": [
    "supermarket",
    "convenience"
  ]
}' |
apify call dataquarry/supermarkets --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Supermarket & Grocery Scraper – OpenStreetMap Store Data",
        "description": "Extract supermarkets, grocery & convenience stores from OpenStreetMap by area, radius, or name. Get brand, opening hours, organic, payment methods, wheelchair access and address. No API key; open (ODbL) data.",
        "version": "0.0",
        "x-build-id": "noCgHXBh36NEbRDmL"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/dataquarry~supermarkets/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-dataquarry-supermarkets",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/dataquarry~supermarkets/runs": {
            "post": {
                "operationId": "runs-sync-dataquarry-supermarkets",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/dataquarry~supermarkets/run-sync": {
            "post": {
                "operationId": "run-sync-dataquarry-supermarkets",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                    "area": {
                        "title": "Area",
                        "type": "string",
                        "description": "Place to search within, e.g. \"Berlin, Germany\". Geocoded to a bounding box via Nominatim. Provide this OR a bounding box OR a center for radius search."
                    },
                    "aroundLocation": {
                        "title": "Search around a location (radius)",
                        "type": "string",
                        "description": "Optional. An address or place to search AROUND within a radius, e.g. \"Alexanderplatz, Berlin\". Geocoded to a center point; set the radius with \"radiusMeters\"."
                    },
                    "radiusMeters": {
                        "title": "Radius (meters)",
                        "minimum": 1,
                        "type": "integer",
                        "description": "Radius in meters for the around-a-location search (used with Around Location or Center Point). Default 5000.",
                        "default": 5000
                    },
                    "centerPoint": {
                        "title": "Center point (advanced radius)",
                        "type": "object",
                        "description": "Optional advanced alternative: an explicit center as {\"lat\":.., \"lon\":..} to search around. Overrides Around Location when set."
                    },
                    "boundingBox": {
                        "title": "Bounding box (advanced)",
                        "type": "object",
                        "description": "Explicit bounding box as {\"south\":..,\"west\":..,\"north\":..,\"east\":..}. Overrides Area when set."
                    },
                    "storeTypes": {
                        "title": "Store types",
                        "type": "array",
                        "description": "Which store types to include. Supported: supermarket, convenience, greengrocer. Default: all of them.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "searchTerm": {
                        "title": "Filter by name / brand (optional)",
                        "type": "string",
                        "description": "Optional. Only return stores whose name contains this text (case-insensitive), e.g. \"Edeka\", \"Lidl\", \"Aldi\", \"Rewe\"."
                    },
                    "maxResults": {
                        "title": "Max results",
                        "minimum": 1,
                        "type": "integer",
                        "description": "Maximum number of supermarkets / grocery stores to return.",
                        "default": 1000
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```