# 📊 FEC Independent Expenditures Scraper — PAC Tracker (`nexgendata/fec-independent-expenditures-scraper`) Actor

Scrape FEC Schedule E independent expenditures by PACs and Super PACs supporting or opposing federal candidates. Get committee, candidate, amount, payee, date, election cycle, support/oppose flag. OpenSecrets alternative for campaign finance researchers, journalists, opposition research.

- **URL**: https://apify.com/nexgendata/fec-independent-expenditures-scraper.md
- **Developed by:** [Stephan Corbeil](https://apify.com/nexgendata) (community)
- **Categories:** Business, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $8.00 / 1,000 expenditure records

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

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

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

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

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

## FEC Independent Expenditures Scraper

Pull **FEC Schedule E** independent-expenditure filings — every dollar a PAC, Super PAC, or non-profit spent supporting or opposing a federal candidate. Returns committee, candidate, payee, amount, support/oppose flag, dissemination date, election cycle, and category. Built for political journalists, opposition research firms, campaign finance watchdogs, and election lawyers — the **OpenSecrets-style** workflows that need clean structured data without scraping fec.gov by hand.

Runs against the official **OpenFEC** REST API (api.open.fec.gov). Free with the shared `DEMO_KEY` for low-volume usage; supply your own free API key for unlimited throughput.

### What you get

| Field | Type | Notes |
|---|---|---|
| `candidate_id` | string | FEC ID (e.g. `P00009423`) |
| `candidate_name` | string | Full candidate name |
| `candidate_office` | string | `H` House / `S` Senate / `P` President |
| `candidate_office_state` | string | 2-letter state |
| `candidate_office_district` | string | District number |
| `candidate_party` | string | `DEM` / `REP` / `IND` / etc. |
| `committee_id` | string | Spending committee FEC ID |
| `committee_name` | string | Spending committee name |
| `expenditure_amount` | number | USD |
| `expenditure_date` | string | ISO date |
| `expenditure_description` | string | Plain-text purpose ("media buy", "phone banking", etc.) |
| `dissemination_date` | string | When the ad / mailer actually ran |
| `support_oppose_indicator` | string | `S` (support) or `O` (oppose) |
| `election_type` | string | `P` primary / `G` general / `R` runoff |
| `category_code_full` | string | Category description |
| `report_year` / `report_type` | string | Filing year and report code |
| `payee_name` | string | Vendor that received the money |
| `payee_city` / `payee_state` / `payee_zip` | string | Vendor address |
| `memo_text` | string | Free-text memo |
| `pdf_url` | string | Direct link to the FEC-hosted PDF filing |
| `image_number` / `transaction_id` / `file_number` / `sub_id` | string | Cross-reference IDs |

### Use cases

- **Opposition research** — pull every IE attacking a sitting incumbent in their primary, broken down by spender and vendor.
- **Campaign finance journalism** — track Super PAC activity in a swing race week-over-week, surface late-cycle ad buys.
- **Vendor intel** — see which media buyers, mail houses, and digital firms are getting the IE money.
- **Compliance vetting** — corporate PAC officers verifying their committee's reported expenditures match what's published.
- **Academic research** — bulk-pull a cycle of IEs into a notebook for political-science analysis.
- **Real-time monitoring** — schedule the actor daily during the election window, alert on new spending against your client/candidate.

### Quick start

Input JSON (search by candidate name):

```json
{
  "candidate_name": "Trump",
  "cycle": 2024,
  "min_date": "2024-09-01",
  "max_date": "2024-11-05",
  "support_oppose": "O",
  "max_results": 100
}
````

Sample output item:

```json
{
  "candidate_id": "P80001571",
  "candidate_name": "TRUMP, DONALD J.",
  "candidate_office": "P",
  "candidate_party": "REP",
  "committee_id": "C00580100",
  "committee_name": "FUTURE FORWARD USA ACTION",
  "expenditure_amount": 4275000.0,
  "dissemination_date": "2024-10-22",
  "support_oppose_indicator": "O",
  "election_type": "G",
  "expenditure_description": "MEDIA BUY",
  "payee_name": "GMMB INC",
  "payee_city": "WASHINGTON",
  "payee_state": "DC",
  "pdf_url": "https://docquery.fec.gov/pdf/.../12345.pdf"
}
```

### Python SDK example

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nexgendata/fec-independent-expenditures-scraper").call(run_input={
    "candidate_name": "Harris",
    "cycle": 2024,
    "support_oppose": "S",
    "max_results": 250,
    "apiKey": "YOUR_OPENFEC_KEY",
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"${item['expenditure_amount']:,.0f}  {item['committee_name']}  -> {item['payee_name']}")
```

### cURL example

```bash
curl -X POST "https://api.apify.com/v2/acts/nexgendata~fec-independent-expenditures-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"committee_id":"C00580100","cycle":2024,"max_results":50}'
```

### Integrations

- **Zapier / Make.com / n8n** — feed new IEs into Slack / Airtable / Google Sheets the moment they appear in the FEC stream.
- **Postgres / Snowflake / BigQuery** — sync the dataset via Apify webhooks into your political-data warehouse.
- **Looker / Tableau / Metabase** — power campaign-finance dashboards directly off the dataset.

### Pricing

Pay-per-event:

- **Actor start**: $0.00005 (one-time per run)
- **Per expenditure record**: $0.008

Cost calculator:

| Records | Approx. cost |
|---|---|
| 50 | $0.40 |
| 100 | $0.80 |
| 500 | $4.00 |
| 1,000 | $8.00 |
| 5,000 | $40.00 |

Premium pricing reflects the compliance / opposition-research value of clean campaign-finance data — buyers in this niche routinely pay 4-figure subscriptions for OpenSecrets-style feeds.

### FAQ

**Q: Do I need an API key?**\
A: No — the scraper falls back to OpenFEC's `DEMO_KEY` (shared, ~30 calls/hour). For real workloads sign up free at https://api.open.fec.gov/developers (instant, unlimited) and pass it via the `apiKey` input.

**Q: How fresh is the data?**\
A: As fresh as FEC publishes. Schedule E filings appear within 24 hours of the underlying report being filed; for committees on monthly filing schedules the lag is days, for 24/48-hour notice filings (last 20 days before an election) the lag is hours.

**Q: What's NOT included?**\
A: Schedule A (contributions), Schedule B (operating expenditures), Schedule F (party coordinated expenditures). This actor focuses on **independent expenditures only**. For other schedules see the related actors below.

**Q: How does cursor pagination work?**\
A: The actor automatically follows OpenFEC's `last_indexes` cursor across pages, so a `max_results=2000` run will sweep up to 2,000 sequential records without a `page` ceiling.

**Q: Can I filter by state, district, race?**\
A: Yes — pass the `candidate_id` corresponding to the candidate in that race, OR the `committee_id` of the spender. Resolve candidate IDs via the `candidate_name` field (auto-resolves up to 3 best matches).

**Q: What about 501(c)(4) "dark money"?**\
A: 501(c)(4) groups are not required to file Schedule E unless they spend in the 60/30-day windows. This actor returns everything filed; what's not filed (genuinely dark money) is by definition not in the FEC database.

### Related actors from nexgendata

- [Government Contracts Search](https://apify.com/nexgendata/government-contracts-search) — pair political spending with federal contract awards for influence-money analyses.
- [H1B Visa Salary Search](https://apify.com/nexgendata/h1b-visa-salary-search) — verify donor-employer / lobbyist claims against the H1B record.
- [Court Records Search](https://apify.com/nexgendata/court-records-search) — track campaign-finance enforcement cases through the federal court system.

### About nexgendata

Built and maintained by [nexgendata](https://apify.com/nexgendata?fpr=2ayu9b) — a portfolio of 160+ specialized scrapers and MCP servers covering compliance, civic data, lead gen, and developer tools. Need higher volume, custom output, or a private fork? Email steve\_corbeil@hotmail.com.

# Actor input Schema

## `candidate_id` (type: `string`):

Specific FEC candidate ID (e.g. 'P00009423' for Donald Trump). If you don't know the ID, use 'candidate\_name' instead and we'll resolve it via the FEC /candidates/search/ endpoint.

## `candidate_name` (type: `string`):

Search by candidate name (e.g. 'Trump', 'Harris'). Resolved to up to 3 candidate IDs and queried in one batch.

## `committee_id` (type: `string`):

Optional FEC committee ID (e.g. 'C00010603' MAGA Inc) to restrict expenditures to a single PAC/Super PAC.

## `cycle` (type: `integer`):

Even-numbered election year (e.g. 2024, 2022, 2020). Schedule E is reported per cycle.

## `min_date` (type: `string`):

ISO date YYYY-MM-DD. Filters expenditures with dissemination\_date >= this value.

## `max_date` (type: `string`):

ISO date YYYY-MM-DD. Filters expenditures with dissemination\_date <= this value.

## `support_oppose` (type: `string`):

S = support the candidate. O = oppose. Leave blank to return both.

## `max_results` (type: `integer`):

Maximum number of expenditure records to return (1-2000). Each record is one Schedule E line item.

## `apiKey` (type: `string`):

Your personal OpenFEC API key. Falls back to 'DEMO\_KEY' (rate-limited to ~30 calls/hour shared across all anonymous users). Sign up free at https://api.open.fec.gov/developers for unlimited usage.

## Actor input object example

```json
{
  "candidate_name": "Trump",
  "cycle": 2024,
  "min_date": "2024-01-01",
  "max_date": "2024-12-31",
  "support_oppose": "",
  "max_results": 50
}
```

# 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 = {
    "candidate_id": "",
    "candidate_name": "Trump",
    "committee_id": "",
    "cycle": 2024,
    "min_date": "2024-01-01",
    "max_date": "2024-12-31",
    "support_oppose": "",
    "max_results": 50,
    "apiKey": ""
};

// Run the Actor and wait for it to finish
const run = await client.actor("nexgendata/fec-independent-expenditures-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 = {
    "candidate_id": "",
    "candidate_name": "Trump",
    "committee_id": "",
    "cycle": 2024,
    "min_date": "2024-01-01",
    "max_date": "2024-12-31",
    "support_oppose": "",
    "max_results": 50,
    "apiKey": "",
}

# Run the Actor and wait for it to finish
run = client.actor("nexgendata/fec-independent-expenditures-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 '{
  "candidate_id": "",
  "candidate_name": "Trump",
  "committee_id": "",
  "cycle": 2024,
  "min_date": "2024-01-01",
  "max_date": "2024-12-31",
  "support_oppose": "",
  "max_results": 50,
  "apiKey": ""
}' |
apify call nexgendata/fec-independent-expenditures-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "📊 FEC Independent Expenditures Scraper — PAC Tracker",
        "description": "Scrape FEC Schedule E independent expenditures by PACs and Super PACs supporting or opposing federal candidates. Get committee, candidate, amount, payee, date, election cycle, support/oppose flag. OpenSecrets alternative for campaign finance researchers, journalists, opposition research.",
        "version": "0.0",
        "x-build-id": "X6YrHXnzw03UIUQSe"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/nexgendata~fec-independent-expenditures-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-nexgendata-fec-independent-expenditures-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/nexgendata~fec-independent-expenditures-scraper/runs": {
            "post": {
                "operationId": "runs-sync-nexgendata-fec-independent-expenditures-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/nexgendata~fec-independent-expenditures-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-nexgendata-fec-independent-expenditures-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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",
                "properties": {
                    "candidate_id": {
                        "title": "FEC Candidate ID",
                        "type": "string",
                        "description": "Specific FEC candidate ID (e.g. 'P00009423' for Donald Trump). If you don't know the ID, use 'candidate_name' instead and we'll resolve it via the FEC /candidates/search/ endpoint."
                    },
                    "candidate_name": {
                        "title": "Candidate name (resolved to ID)",
                        "type": "string",
                        "description": "Search by candidate name (e.g. 'Trump', 'Harris'). Resolved to up to 3 candidate IDs and queried in one batch."
                    },
                    "committee_id": {
                        "title": "Committee ID filter",
                        "type": "string",
                        "description": "Optional FEC committee ID (e.g. 'C00010603' MAGA Inc) to restrict expenditures to a single PAC/Super PAC."
                    },
                    "cycle": {
                        "title": "Election cycle (year)",
                        "minimum": 2000,
                        "maximum": 2030,
                        "type": "integer",
                        "description": "Even-numbered election year (e.g. 2024, 2022, 2020). Schedule E is reported per cycle.",
                        "default": 2024
                    },
                    "min_date": {
                        "title": "Earliest dissemination date",
                        "type": "string",
                        "description": "ISO date YYYY-MM-DD. Filters expenditures with dissemination_date >= this value."
                    },
                    "max_date": {
                        "title": "Latest dissemination date",
                        "type": "string",
                        "description": "ISO date YYYY-MM-DD. Filters expenditures with dissemination_date <= this value."
                    },
                    "support_oppose": {
                        "title": "Support / oppose filter",
                        "enum": [
                            "",
                            "S",
                            "O"
                        ],
                        "type": "string",
                        "description": "S = support the candidate. O = oppose. Leave blank to return both.",
                        "default": ""
                    },
                    "max_results": {
                        "title": "Max results",
                        "minimum": 1,
                        "maximum": 2000,
                        "type": "integer",
                        "description": "Maximum number of expenditure records to return (1-2000). Each record is one Schedule E line item.",
                        "default": 100
                    },
                    "apiKey": {
                        "title": "FEC API key (optional)",
                        "type": "string",
                        "description": "Your personal OpenFEC API key. Falls back to 'DEMO_KEY' (rate-limited to ~30 calls/hour shared across all anonymous users). Sign up free at https://api.open.fec.gov/developers for unlimited usage."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```