# FEC Campaign Finance Scraper \[๐ท๏ธ ON SALE ๐] (`scrapers_lat/fec-campaign-finance-scraper`) Actor
Scrape US federal campaign finance data from the OpenFEC API: candidates with total receipts and disbursements, committees with treasurer and contacts, and individual contributions with donor name, employer, occupation, amount and date.
- **URL**: https://apify.com/scrapers\_lat/fec-campaign-finance-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Lead generation, Business, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars
## Pricing
from $10.00 / 1,000 records
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
[](https://console.apify.com/actors/6BD3c5QZOhKF3QTjj/input)
## FEC Campaign Finance Scraper
> Extract US federal campaign finance data from the OpenFEC API: candidates with total receipts and disbursements, committees with treasurer contacts, and individual contributions with donor name, employer, occupation, amount and date
3 data types candidates ยท committees ยท contributions
United States federal coverage
JSON / CSV / Excel output formats
### What you get
This scraper pulls directly from the official Federal Election Commission OpenFEC API. Pick one of three data types with the **Data type** input:
#### Individual contributions (Schedule A)
Itemized receipts reported to the FEC. The single best source for donor lead lists and contribution research.
- **contributorName**, **contributorFirstName**, **contributorLastName**: the donor
- **contributorEmployer**: employer the donor reported
- **contributorOccupation**: occupation the donor reported
- **contributorCity**, **contributorState**, **contributorZip**: donor location
- **contributionReceiptAmount**: dollar amount of the contribution
- **contributionReceiptDate**: date the contribution was received
- **contributorAggregateYtd**: the donor's year-to-date total to this committee
- **committeeId**, **committeeName**, **committeeType**: the recipient committee
- **candidateId**, **candidateName**, **candidateOffice**: linked candidate where reported
- **entityType**, **isIndividual**: individual vs. organization
- **electionType**, **fecElectionYear**, **receiptType**: classification
- **memoCode**, **memoText**: filer memo
- **twoYearTransactionPeriod**, **reportType**, **filingForm**, **imageNumber**, **pdfUrl**: source filing
- **url**: link to the recipient committee page on FEC.gov
#### Candidates
Every federal candidate with their campaign finance totals.
- **candidateId**, **name**: candidate identity
- **party**, **partyFull**: party
- **office**, **state**, **district**, **districtNumber**: what they ran for
- **incumbentChallenge**: incumbent, challenger or open seat
- **candidateStatus**, **electionYear**, **cycle**: status and cycle
- **receipts**: total money raised
- **disbursements**: total money spent
- **cashOnHandEndPeriod**: cash on hand at period end
- **debtsOwedByCommittee**: outstanding debts
- **individualItemizedContributions**, **otherPoliticalCommitteeContributions**, **transfersFromOtherAuthorizedCommittee**: receipt breakdown
- **hasRaisedFunds**, **coverageStartDate**, **coverageEndDate**: coverage
- **addressCity**, **addressState**, **addressZip**: mailing address
- **firstFileDate**, **lastFileDate**: filing history
- **url**: link to the candidate page on FEC.gov
#### Committees
Registered political committees with their filing contacts.
- **committeeId**, **name**: committee identity
- **committeeType**, **designation**: type and designation
- **party**, **partyFull**, **organizationType**: classification
- **treasurerName**: committee treasurer
- **designatedAgentName**, **designatedAgentPhone**: designated agent contact
- **state**, **candidateIds**, **filingFrequency**: details
- **firstFileDate**, **lastFileDate**: filing history
- **url**: link to the committee page on FEC.gov
Every record also carries **observedAt** (when the scraper saw it) and **error** (null on success).
### Who is it for
| Use case | Who benefits |
|---|---|
| Build donor lead lists by employer, occupation or location | Fundraisers and political consultants |
| Track who funds a candidate or committee | Journalists and opposition researchers |
| Compare candidate receipts and disbursements | Analysts and political scientists |
| Find committee treasurers and filing contacts | Compliance and outreach teams |
| Feed federal campaign finance into a data warehouse | Data engineers |
### How to use
1. Choose a **Data type**: Individual contributions, Candidates or Committees.
2. (Recommended) Add your own free OpenFEC API key. The built-in DEMO_KEY works for testing but is rate limited to about 30 requests per hour. Get a free key in seconds at [api.data.gov/signup](https://api.data.gov/signup/).
3. Apply filters for your data type (for contributions: cycle, recipient committee, contributor state, employer, occupation, date and amount range; for candidates: office, state, party, election year; for committees: type, state, party).
4. Set **Max Items** and run. Records stream into the dataset as they are found and can be exported to JSON, CSV or Excel.
### Frequently Asked Questions
**Which country and time range does this cover?**
United States federal campaign finance, as reported to the Federal Election Commission. Contribution data goes back decades; use the two-year transaction period and date filters to scope a cycle.
**Do I need an API key?**
A built-in DEMO_KEY lets you try the scraper immediately, but it is rate limited to roughly 30 requests per hour. For any real volume, paste your own free key from [api.data.gov/signup](https://api.data.gov/signup/). It takes under a minute and raises the limit substantially.
**How many records can I scrape in one run?**
You set the cap with Max Items. Contributions paginate through tens of millions of records using seek pagination, so you can pull anywhere from a handful to hundreds of thousands in a single run (a real API key is required for large runs).
**Why are some fields empty on a record?**
The FEC only publishes what filers report. An individual donor record has an employer and occupation; an organization record may not. Candidate links and memo text appear only when present in the filing.
**Is this affiliated with the FEC?**
No. This is an independent tool that reads only publicly available data from the FEC's open OpenFEC API. Federal campaign finance data is in the public domain.
### Example use cases
Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template:
- [ActBlue Democratic Committee Finder on FEC](https://apify.com/scrapers_lat/fec-campaign-finance-scraper/examples/actblue-democratic-committee-lookup): Look up ActBlue and related Democratic committees on the FEC with treasurer, filing contacts, committee IDs, type, and state. Export results to JSON, CSV, Excel
- [Amazon Employee Political Donors 2022 FEC](https://apify.com/scrapers_lat/fec-campaign-finance-scraper/examples/amazon-employee-donors-2022): Extract itemized 2022 FEC contributions from donors reporting Amazon as employer, with donor names, occupation, amount, date, and recipient. Export CSV, JSON, E
- [Google Employee Political Donors 2024 FEC](https://apify.com/scrapers_lat/fec-campaign-finance-scraper/examples/google-employee-donors-2024): Scrape itemized 2024 FEC contributions from donors who list Google as employer, with names, occupation, amount, date, and recipient committee. Export CSV or JSO
- [Microsoft Employee Political Donors 2020 FEC](https://apify.com/scrapers_lat/fec-campaign-finance-scraper/examples/microsoft-employee-donors-2020): Pull itemized 2020 FEC contributions from donors listing Microsoft as employer, with names, occupation, amount, date, and recipient committee. Export CSV or JSO
- [Super PAC Committees Directory on FEC](https://apify.com/scrapers_lat/fec-campaign-finance-scraper/examples/super-pac-committees-search): Build a directory of Super PAC committees registered with the FEC, including treasurer, filing contacts, committee IDs, and state. Export to JSON, CSV, or Excel
- [Texas US Senate Candidates 2024 FEC](https://apify.com/scrapers_lat/fec-campaign-finance-scraper/examples/texas-senate-candidates-2024): Get 2024 US Senate candidates in Texas from the FEC with party, total receipts, disbursements, and committee links. Export candidate data to JSON, CSV, or Excel
- [WinRed Republican Committee Finder on FEC](https://apify.com/scrapers_lat/fec-campaign-finance-scraper/examples/winred-republican-committee-lookup): Find WinRed and affiliated Republican committees on the FEC with treasurer names, filing contacts, committee IDs, type, and location. Export to JSON, CSV, Excel
- [FEC 2024 Corporate Donors](https://apify.com/scrapers_lat/fec-campaign-finance-scraper/examples/fec-2024-corporate-donors): FEC 2024 Corporate Donors
- [FEC 2024 Presidential Candidates](https://apify.com/scrapers_lat/fec-campaign-finance-scraper/examples/fec-2024-presidential-candidates): FEC 2024 Presidential Candidates
- [FEC California Political Donors](https://apify.com/scrapers_lat/fec-campaign-finance-scraper/examples/fec-california-donors): FEC California Political Donors
### Related scrapers
Need data from the same space? Here are other scrapers we build and maintain:
- [USAspending Federal Award Scraper](https://apify.com/scrapers_lat/usaspending-awards-scraper): Scrape US federal prime awards from USAspending.gov. Get recipient, UEI, award amount, awarding agency...
- [SEC EDGAR Company Filings Scraper](https://apify.com/scrapers_lat/sec-edgar-filings-scraper): Scrape SEC EDGAR company filings by ticker or CIK. Get form type, filing date, accession number...
- [SEC EDGAR Financial Facts Scraper](https://apify.com/scrapers_lat/sec-edgar-financials-scraper): Scrape SEC EDGAR XBRL financial facts by ticker or CIK. Get reported values for Revenues, Assets...
- [Grants.gov Opportunity Scraper](https://apify.com/scrapers_lat/grants-gov-scraper): Extract U.S. federal grant opportunities from the official Grants.gov API. Scrape title, agency, status...
- [OFAC Sanctions List Scraper](https://apify.com/scrapers_lat/ofac-sanctions-scraper): Download and parse the US Treasury OFAC SDN and Consolidated sanctions lists with names, aliases and addresses.
- [New York Business Entity Scraper](https://apify.com/scrapers_lat/ny-dos-business-scraper): Search and extract New York business entity records (corporations, LLCs, limited partnerships) from the NY DOS.
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with the Federal Election Commission or the US government. It only accesses data that is publicly available through the FEC's OpenFEC API. Federal campaign finance data is published in the public domain.
# Actor input Schema
## `maxItems` (type: `integer`):
Maximum number of records to collect. Optional.
## `mode` (type: `string`):
What to scrape from the FEC. 'Individual contributions' returns itemized donor records (name, employer, occupation, amount, date). 'Candidates' returns candidates with total receipts and disbursements. 'Committees' returns committees with treasurer and filing contacts.
## `apiKey` (type: `string`):
Your api.data.gov / OpenFEC API key. Defaults to DEMO_KEY for testing (heavily rate limited). Get a free key at https://api.data.gov/signup/ for higher limits.
## `search` (type: `string`):
Free-text search. For candidates and committees it matches the name. For contributions it matches the contributor name (for example: Lockheed, Smith, university).
## `twoYearTransactionPeriod` (type: `integer`):
Even-numbered election cycle that the contribution falls in (for example 2024 covers 2023-2024). Recommended for contributions; it scopes the search and keeps it fast.
## `committeeId` (type: `string`):
FEC committee ID that received the contributions, e.g. C00401224. Find IDs with the Committees data type.
## `contributorState` (type: `string`):
Two-letter US state of the donor, e.g. CA, TX, NY.
## `contributorEmployer` (type: `string`):
Filter contributions by the donor's reported employer.
## `contributorOccupation` (type: `string`):
Filter contributions by the donor's reported occupation.
## `minDate` (type: `string`):
Earliest contribution receipt date (YYYY-MM-DD).
## `maxDate` (type: `string`):
Latest contribution receipt date (YYYY-MM-DD).
## `minAmount` (type: `integer`):
Only contributions of at least this many US dollars.
## `maxAmount` (type: `integer`):
Only contributions of at most this many US dollars.
## `office` (type: `string`):
Office the candidate is running for.
## `candidateState` (type: `string`):
Two-letter US state the candidate is running in, e.g. CA.
## `party` (type: `string`):
Three-letter party code, e.g. DEM, REP, IND, LIB, GRE.
## `electionYear` (type: `integer`):
Year the candidate is or was on the ballot, e.g. 2024.
## `committeeType` (type: `string`):
Filter committees by type.
## `committeeState` (type: `string`):
Two-letter US state of the committee, e.g. CA.
## Actor input object example
```json
{
"maxItems": 20,
"mode": "contributions",
"apiKey": "DEMO_KEY",
"twoYearTransactionPeriod": 2024,
"office": "",
"committeeType": ""
}
````
# Actor output Schema
## `results` (type: `string`):
No description
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"maxItems": 20,
"twoYearTransactionPeriod": 2024
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/fec-campaign-finance-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ 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);
});
// ๐ Want to learn more ๐? Go to โ 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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"maxItems": 20,
"twoYearTransactionPeriod": 2024,
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/fec-campaign-finance-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"maxItems": 20,
"twoYearTransactionPeriod": 2024
}' |
apify call scrapers_lat/fec-campaign-finance-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/fec-campaign-finance-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "FEC Campaign Finance Scraper [๐ท๏ธ ON SALE ๐]",
"description": "Scrape US federal campaign finance data from the OpenFEC API: candidates with total receipts and disbursements, committees with treasurer and contacts, and individual contributions with donor name, employer, occupation, amount and date.",
"version": "0.1",
"x-build-id": "FA0gc7jKanwbI1GWb"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~fec-campaign-finance-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-fec-campaign-finance-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~fec-campaign-finance-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-fec-campaign-finance-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~fec-campaign-finance-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-fec-campaign-finance-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of records to collect. Optional."
},
"mode": {
"title": "Data type",
"enum": [
"contributions",
"candidates",
"committees"
],
"type": "string",
"description": "What to scrape from the FEC. 'Individual contributions' returns itemized donor records (name, employer, occupation, amount, date). 'Candidates' returns candidates with total receipts and disbursements. 'Committees' returns committees with treasurer and filing contacts.",
"default": "contributions"
},
"apiKey": {
"title": "OpenFEC API key",
"type": "string",
"description": "Your api.data.gov / OpenFEC API key. Defaults to DEMO_KEY for testing (heavily rate limited). Get a free key at https://api.data.gov/signup/ for higher limits.",
"default": "DEMO_KEY"
},
"search": {
"title": "Search text",
"type": "string",
"description": "Free-text search. For candidates and committees it matches the name. For contributions it matches the contributor name (for example: Lockheed, Smith, university)."
},
"twoYearTransactionPeriod": {
"title": "Two-year transaction period (cycle)",
"type": "integer",
"description": "Even-numbered election cycle that the contribution falls in (for example 2024 covers 2023-2024). Recommended for contributions; it scopes the search and keeps it fast."
},
"committeeId": {
"title": "Recipient committee ID",
"type": "string",
"description": "FEC committee ID that received the contributions, e.g. C00401224. Find IDs with the Committees data type."
},
"contributorState": {
"title": "Contributor state",
"type": "string",
"description": "Two-letter US state of the donor, e.g. CA, TX, NY."
},
"contributorEmployer": {
"title": "Contributor employer",
"type": "string",
"description": "Filter contributions by the donor's reported employer."
},
"contributorOccupation": {
"title": "Contributor occupation",
"type": "string",
"description": "Filter contributions by the donor's reported occupation."
},
"minDate": {
"title": "Date from",
"type": "string",
"description": "Earliest contribution receipt date (YYYY-MM-DD)."
},
"maxDate": {
"title": "Date to",
"type": "string",
"description": "Latest contribution receipt date (YYYY-MM-DD)."
},
"minAmount": {
"title": "Minimum amount",
"type": "integer",
"description": "Only contributions of at least this many US dollars."
},
"maxAmount": {
"title": "Maximum amount",
"type": "integer",
"description": "Only contributions of at most this many US dollars."
},
"office": {
"title": "Office",
"enum": [
"",
"H",
"S",
"P"
],
"type": "string",
"description": "Office the candidate is running for.",
"default": ""
},
"candidateState": {
"title": "Candidate state",
"type": "string",
"description": "Two-letter US state the candidate is running in, e.g. CA."
},
"party": {
"title": "Party",
"type": "string",
"description": "Three-letter party code, e.g. DEM, REP, IND, LIB, GRE."
},
"electionYear": {
"title": "Election year",
"type": "integer",
"description": "Year the candidate is or was on the ballot, e.g. 2024."
},
"committeeType": {
"title": "Committee type",
"enum": [
"",
"P",
"H",
"S",
"N",
"Q",
"O",
"I",
"C",
"D",
"E",
"U",
"V",
"W",
"X",
"Y",
"Z"
],
"type": "string",
"description": "Filter committees by type.",
"default": ""
},
"committeeState": {
"title": "Committee state",
"type": "string",
"description": "Two-letter US state of the committee, e.g. CA."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```