# Facebook Search Scraper (`scrapesmith/facebook-search-scraper`) Actor

Search Facebook by keyword and extract structured results. Find pages, posts, groups, events, and people. Get names, Facebook IDs, profile URLs, images, verification status, categories, follower counts, and descriptions. 6 search modes, 600+ results/min, no login required.

- **URL**: https://apify.com/scrapesmith/facebook-search-scraper.md
- **Developed by:** [Scrape Smith](https://apify.com/scrapesmith) (community)
- **Categories:** Social media, Lead generation, Automation
- **Stats:** 8 total users, 5 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 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/docs.md):

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

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

## 🔍 Facebook Search Scraper — Pages, Posts, Groups, Events & People

Search Facebook by keyword and extract structured results at scale. Find business pages, posts, groups, events, and people — get names, Facebook IDs, profile URLs, images, verification badges, categories, follower counts, and descriptions. Export as JSON, CSV, or Excel.

### 🚀 What does Facebook Search Scraper do?

Paste your search keywords, pick a result type, and the scraper returns structured data for every Facebook search result. Supports **6 search modes** at **600+ results per minute** — the fastest and cheapest Facebook search scraper on Apify.

Use it for 🏢 **lead generation**, 🕵️ **competitor research**, 📊 **market analysis**, 📍 **local business discovery**, 🎯 **audience research**, and 📈 **brand monitoring**.

### 📦 What data can you extract?

| Field | Description |
|-------|-------------|
| `type` | 📋 Result type: `page`, `post`, `group`, `event`, `person` |
| `name` | 👤 Page, profile, or group name |
| `facebookId` | 🆔 Unique Facebook entity ID |
| `url` | 🔗 Direct Facebook URL |
| `profileUrl` | 🔗 Full profile URL |
| `isVerified` | ✅ Verification badge status |
| `image` | 📸 Profile picture with `uri`, `width`, `height`, `scale` |
| `snippet` | 📝 Category, location, follower count (e.g. *"Restaurant · New York · 5K followers"*) |
| `description` | 📄 Full page/profile description |
| `query` | 🔍 Original search keyword |

#### 📊 Posts mode adds:
| Field | Description |
|-------|-------------|
| `postId` | 🔖 Unique post/story ID |
| `authorName` | ✍️ Post author name |
| `timestamp` | 🕐 Post creation timestamp |

### 🔀 6 Search Modes

| Mode | What it finds | Example query |
|------|--------------|---------------|
| 📄 **Pages** | Business pages, brands, organizations | `"coffee shop new york"` |
| 📝 **Posts** | Public posts matching keyword | `"product launch 2026"` |
| 👥 **Groups** | Facebook groups | `"python programming"` |
| 🎉 **Events** | Upcoming and past events | `"music festival summer"` |
| 👤 **People** | Public profiles | `"john smith developer"` |
| 🌐 **All** | Mixed results across all types | `"artificial intelligence"` |

### ⚙️ Input parameters

| Parameter | Type | Description |
|-----------|------|-------------|
| `queries` | Array of strings | 🔍 Keywords to search for on Facebook |
| `searchType` | String | 🔀 Result type: `pages`, `posts`, `groups`, `events`, `people`, `all` |
| `maxResultsPerQuery` | Integer | 🔢 Max results per query (default: 100, max: 5,000) |

### 📥 Example input

```json
{
    "queries": ["coffee shop new york"],
    "searchType": "pages",
    "maxResultsPerQuery": 200
}
````

### 📤 Example output

```json
{
    "type": "page",
    "name": "Blue Bottle Coffee",
    "facebookId": "100064792144187",
    "url": "https://www.facebook.com/bluebottlecoffee",
    "profileUrl": "https://www.facebook.com/bluebottlecoffee",
    "isVerified": true,
    "image": {
        "uri": "https://scontent.fbcdn.net/...",
        "width": 60,
        "height": 60,
        "scale": 1
    },
    "snippet": "Coffee shop · New York, NY · 250K followers",
    "description": "Every cup of Blue Bottle coffee is made with care...",
    "query": "coffee shop new york"
}
```

### 💰 How much does it cost?

- 🆓 **Free tier**: 10 results per run — test before you buy, no credit card needed
- ⚡ **Speed**: 600+ results per minute
- 🪶 **Memory**: Runs on just 128 MB — minimal compute cost
- 💸 **5x cheaper** than the leading competitor

Check the **Pricing** tab for current per-result rates.

### 🏆 Why choose this scraper?

| Feature | Us | Competitors |
|---------|-----|------------|
| 💰 Price | **Cheapest** | 2-10x more expensive |
| ⚡ Speed | **600+ results/min** | Unknown |
| 🔀 Search modes | **6 modes** | 1-4 modes |
| 📝 Snippet data | ✅ Category + followers + location | ❌ |
| 📄 Description | ✅ Full page description | ❌ |
| 🔍 Query tracking | ✅ Each result tagged with source query | ❌ |
| 🆓 Free tier | 10 results | 5 results |
| 🔧 Memory | 128 MB | 256-2048 MB |

### 💡 Use cases

#### 🏢 Lead generation & prospecting

Search for businesses by keyword and location. Build targeted prospect lists of restaurants, shops, gyms, salons, or any business category. Export to your CRM or outreach tool.

#### 🕵️ Competitor research & monitoring

Find all competitors in your niche across Facebook. Track how many businesses operate in your category, who's verified, and who has the most followers.

#### 📊 Market analysis & sizing

Quantify market density by searching for businesses in specific categories and locations. Identify underserved markets and geographic gaps.

#### 📍 Local business intelligence

Build location-based datasets for market entry decisions. Find every business of a type in a city, state, or country.

#### 🎯 Event discovery & marketing

Search for events in your industry or location. Find conferences, festivals, meetups, and networking events to sponsor or attend.

#### 👥 Community & group research

Discover Facebook groups in any niche. Find communities for outreach, partnership, or research.

#### 🎓 Academic & social research

Collect structured data about Facebook entities for research purposes. Study social network patterns, business presence, and community formation.

### 🔌 Integrations

Connect Facebook Search Scraper to your workflow:

- 📊 **Google Sheets** — auto-export results to a spreadsheet
- 💬 **Slack / Discord** — get notified when scraping completes
- ⚡ **Zapier / Make** — trigger downstream CRM workflows
- 🪝 **Webhooks** — POST results to your own API or CRM
- ☁️ **Amazon S3 / Google Cloud** — store datasets in cloud storage
- 🔄 **n8n** — build automated lead generation pipelines

Use the [Apify API](https://docs.apify.com/api) or official [Apify client libraries](https://docs.apify.com/api/client/js) (JavaScript, Python) to integrate programmatically.

### 🤖 MCP Server Integration (AI Agents & LLMs)

This actor works as a **tool for AI agents** via the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp). Connect it to **Claude**, **ChatGPT**, **Cursor**, **Windsurf**, or any MCP-compatible AI assistant to let your agent search Facebook on demand.

#### 🟣 Use with Claude Desktop / Claude Code

Add the Apify MCP server to your Claude config:

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": ["-y", "@anthropic-ai/apify-mcp-server"],
            "env": {
                "APIFY_API_TOKEN": "YOUR_APIFY_TOKEN"
            }
        }
    }
}
```

Then ask Claude: *"Search Facebook for coffee shops in New York"* or *"Find Python programming groups on Facebook"*

#### 🟢 Use with OpenAI / GPT Agents

Apify actors are available as OpenAI tools via the Apify platform. Build AI-powered lead generation agents that search Facebook autonomously.

See [Apify + OpenAI integration docs](https://docs.apify.com/platform/integrations/openai).

#### 🦜 Use with LangChain / LlamaIndex

```python
from langchain_community.utilities import ApifyWrapper

apify = ApifyWrapper()
loader = apify.call_actor(
    actor_id="YOUR_ACTOR_ID",
    run_input={
        "queries": ["coffee shop new york"],
        "searchType": "pages",
        "maxResultsPerQuery": 100,
    },
    dataset_mapping_function=lambda item: f"{item['name']} - {item.get('snippet', '')}",
)
```

#### 🧩 Why use this with AI agents?

- 🔬 **Automated lead gen**: Agent searches Facebook → enriches contacts → loads into CRM
- 📚 **RAG pipelines**: Feed real-time Facebook search data into retrieval-augmented generation
- 📊 **Market research**: Agent runs multiple queries → aggregates → generates market report
- 🕵️ **Competitive intel**: Agent monitors competitor presence across Facebook categories
- 🎯 **Ad targeting research**: Agent discovers audience segments and interest groups

### 🔧 API Access

#### Python

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("YOUR_ACTOR_ID").call(run_input={
    "queries": ["coffee shop new york"],
    "searchType": "pages",
    "maxResultsPerQuery": 100,
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item['name']} | {item.get('snippet', '')} | {item['url']}")
```

#### JavaScript

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

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('YOUR_ACTOR_ID').call({
    queries: ['coffee shop new york'],
    searchType: 'pages',
    maxResultsPerQuery: 100,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(item => console.log(`${item.name} | ${item.snippet} | ${item.url}`));
```

#### cURL

```bash
curl "https://api.apify.com/v2/acts/YOUR_ACTOR_ID/runs" \
  -X POST \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -d '{"queries": ["coffee shop"], "searchType": "pages", "maxResultsPerQuery": 100}'
```

### ❓ FAQ

#### 🔐 Does this scraper need my Facebook login?

No. The scraper works without your Facebook credentials. No cookies or login required from users.

#### 🔢 How many results can I get per query?

Up to 5,000 results per search query. Most queries return 100-500 unique results.

#### ⚡ How fast is it?

600+ results per minute on average. A search returning 1,000 results takes under 2 minutes.

#### 🔍 What search types are supported?

Six types: Pages, Posts, Groups, Events, People, and All (mixed results from all categories).

#### 📝 What is the "snippet" field?

The snippet contains the page's category, location, and follower count as shown in Facebook search results (e.g. *"Restaurant · New York, NY · 5K followers"*).

#### 🌍 Can I search by location?

The search query itself supports location keywords (e.g. *"restaurant new york"*). Dedicated location filters are coming soon.

#### 📅 Can I filter by date?

Date filtering for posts search is planned for a future update.

#### 💰 How does pricing work?

You pay per result — only for the data you actually get. Free users get 10 results per run to test. Paid users pay per result with no minimum.

#### 🔄 Can I schedule recurring searches?

Yes. Use Apify's built-in scheduler to run searches daily, weekly, or at any interval. Monitor new pages or posts automatically.

#### ⚖️ Is scraping Facebook search results legal?

This scraper only accesses publicly visible search results. Always review Facebook's Terms of Service and applicable data protection regulations (GDPR, CCPA) before using scraped data.

#### 🤖 Can AI agents use this scraper?

Yes. Connect via the Apify MCP server to let Claude, ChatGPT, or any MCP-compatible AI assistant search Facebook programmatically. Perfect for automated lead generation, market research, and competitive intelligence workflows.

# Actor input Schema

## `queries` (type: `array`):

Keywords to search for on Facebook.

## `searchType` (type: `string`):

What type of results to search for.

## `maxResultsPerQuery` (type: `integer`):

Maximum number of results per search query.

## Actor input object example

```json
{
  "queries": [
    "coffee shop"
  ],
  "searchType": "pages",
  "maxResultsPerQuery": 100
}
```

# 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 = {
    "queries": [
        "coffee shop"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapesmith/facebook-search-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "queries": ["coffee shop"] }

# Run the Actor and wait for it to finish
run = client.actor("scrapesmith/facebook-search-scraper").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "queries": [
    "coffee shop"
  ]
}' |
apify call scrapesmith/facebook-search-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Facebook Search Scraper",
        "description": "Search Facebook by keyword and extract structured results. Find pages, posts, groups, events, and people. Get names, Facebook IDs, profile URLs, images, verification status, categories, follower counts, and descriptions. 6 search modes, 600+ results/min, no login required.",
        "version": "0.0",
        "x-build-id": "ulea53hgJD5CTgj8y"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/scrapesmith~facebook-search-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-scrapesmith-facebook-search-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/scrapesmith~facebook-search-scraper/runs": {
            "post": {
                "operationId": "runs-sync-scrapesmith-facebook-search-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/scrapesmith~facebook-search-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-scrapesmith-facebook-search-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "queries"
                ],
                "properties": {
                    "queries": {
                        "title": "Search Queries",
                        "type": "array",
                        "description": "Keywords to search for on Facebook.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "searchType": {
                        "title": "Search Type",
                        "enum": [
                            "pages",
                            "posts",
                            "groups",
                            "events",
                            "people",
                            "all"
                        ],
                        "type": "string",
                        "description": "What type of results to search for.",
                        "default": "pages"
                    },
                    "maxResultsPerQuery": {
                        "title": "Max Results Per Query",
                        "minimum": 1,
                        "maximum": 5000,
                        "type": "integer",
                        "description": "Maximum number of results per search query.",
                        "default": 100
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```