# Bumeran Scraper — LATAM Job Listings (`blackfalcondata/bumeran-scraper`) Actor

Scrape bumeran.com.ar — the largest job board across 8 LATAM countries. Work modality, contract type, and incremental change tracking. Covers Argentina, Peru, Mexico, Venezuela, Chile, Ecuador, Panama, and more. Compact output for AI agents and MCP workflows.

- **URL**: https://apify.com/blackfalcondata/bumeran-scraper.md
- **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community)
- **Categories:** Jobs
- **Stats:** 1 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 results

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

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

## What's an Apify Actor?

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

## How to integrate an Actor?

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

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

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

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

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

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

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

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

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

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

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


# README

### What does Bumeran Scraper do?

Bumeran Scraper extracts structured job data from [bumeran.com](https://bumeran.com) and its 7 sister brands across 8 LATAM countries — including full job descriptions, contract type, work modality, seniority level, and company metadata. It supports keyword search, location filters, and controllable result limits across Argentina, Peru, Mexico, Venezuela, Chile, Ecuador, and Panama. The actor also offers incremental monitoring that only returns new or changed results on recurring runs and a compact output mode for AI-agent and MCP workflows.

### What data can you extract from bumeran.com?

Each result includes Core listing fields (`jobId`, `jobKey`, `canonicalUrl`, `portalUrl`, `title`, `location`, `salaryText`, and `employmentType`, and more), detail fields when enrichment is enabled (`description`, `descriptionLength`, and `detailFetched`), and company metadata (`company`, `companyId`, `companyLogo`, and `companyIndustry`). In standard mode, all fields are always present — unavailable data points are returned as `null`, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions and company metadata where the source provides them.

### Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

- **`query`** — Job search keywords (e.g. "developer", "analista"). Use JSON array for multiple queries.
- **`country`** — Which LATAM market to search. Each country uses the local brand. (default: `"AR"`)
- **`location`** — City or province filter (e.g. "Buenos Aires", "Lima"). Use JSON array for multiple.
- **`sort`** — Sort results by relevance or date. (default: `"RELEVANTES"`)
- **`maxResults`** — Maximum total job listings to return (0 = unlimited). (default: `50`)
- **`includeDetails`** — Include full job description text (returned inline by the API at no extra cost). (default: `true`)
- **`descriptionMaxLength`** — Truncate description to this many characters. 0 = no truncation. (default: `0`)
- **`compact`** — Output only core fields (for AI-agent/MCP workflows). (default: `false`)
- **`incrementalMode`** — Compare against previous run state. Requires stateKey. (default: `false`)
- **`stateKey`** — Stable identifier for the tracked search universe (e.g. "ar-developer").
- **`emitUnchanged`** — When incremental, also emit records that haven't changed. (default: `false`)
- **`emitExpired`** — When incremental, also emit records no longer found. (default: `false`)

#### Input example

```json
{
  "query": "developer",
  "country": "AR",
  "sort": "RELEVANTES",
  "maxResults": 20,
  "includeDetails": true,
  "descriptionMaxLength": 0,
  "compact": false,
  "incrementalMode": false,
  "emitUnchanged": false,
  "emitExpired": false
}
````

### Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

#### Example job record

```json
{
  "jobId": "fbe241ae3480b433450b0aa208cba8bbc8bf12987b944eec9e13822ccc944dc3",
  "jobKey": "1118203859",
  "canonicalUrl": "https://www.bumeran.com.ar/empleos/analista-de-packaging-management-select-hr-s.r.l.-1118203859.html",
  "portalUrl": "https://www.bumeran.com.ar/empleos/analista-de-packaging-management-select-hr-s.r.l.-1118203859.html",
  "title": "Analista de Packaging",
  "company": "MANAGEMENT-SELECT HR S.R.L.",
  "companyId": "10153879",
  "companyLogo": "https://imgbum.jobscdn.com/portal/img/empresas/1/static/logoMainPic_10153879_bum_vae59f908.jpg",
  "location": "Capital Federal, Buenos Aires",
  "description": "<p>Para importante compañía estamos en la búsqueda de un <strong>Analista en Packaging.</strong></p><p><strong>Misión del puesto:</strong></p><p>Diseñar, validar e implementar el embalaje primario y s...",
  "descriptionLength": 2912,
  "salaryText": null,
  "employmentType": "Full-time",
  "contractType": "Indeterminado",
  "workModality": "Híbrido",
  "seniorityLevel": "Senior",
  "jobArea": "Diseño",
  "jobSubArea": "Diseño Gráfico",
  "vacancies": 1,
  "isDisabilityFriendly": false,
  "companyIndustry": "Consultoría",
  "companySize": "Entre 11 y 50",
  "companyDescription": "Es una empresa dedicada al servicio personalizado de selección y búsqueda directa a nivel nacional e Internacional, para identificar, captar y retener los profesionales requeridos para los puestos cla...",
  "postedDate": "2026-04-04T21:58:49",
  "expiresDate": "2026-06-03",
  "sourceCountry": "AR",
  "sourceDomain": "www.bumeran.com.ar",
  "searchQuery": "analista",
  "isSponsored": false,
  "isConfidential": false,
  "detailFetched": true,
  "scrapedAt": "2026-04-05T11:27:40.912Z",
  "changeType": null,
  "trackedHash": null,
  "firstSeenAt": null,
  "lastSeenAt": null,
  "previousSeenAt": null,
  "expiredAt": null,
  "stateKey": null
}
```

### How to scrape bumeran.com

1. Go to [Bumeran Scraper](https://apify.com/blackfalcondata/bumeran-scraper) in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set `maxResults` to control how many results you need.
4. Enable `includeDetails` if you need full descriptions, contact info, or company data.
5. Click **Start** and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

### Use cases

- Extract job data from bumeran.com for market research and competitive analysis.
- Track hiring trends and demand by role, category, and region over time.
- Monitor new and changed listings on scheduled runs without processing the full dataset every time.
- Research company hiring patterns, employer profiles, and industry distribution.
- Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
- Export clean, structured data to dashboards, spreadsheets, or data warehouses.

### How much does it cost to scrape bumeran.com?

Bumeran Scraper uses [pay-per-event](https://docs.apify.com/platform/actors/paid-actors/pay-per-event) pricing. You pay a small fee when the run starts and then for each result that is actually produced.

- **Run start:** $0.0005 per run
- **Per result:** $0.001 per job record

Example costs:

- 10 results: **$0.01**
- 100 results: **$0.1**
- 500 results: **$0.5**

Incremental runs only charge for new or changed results, making recurring monitoring cost-efficient.

### FAQ

#### How many results can I get from bumeran.com?

The number of results depends on the search query and available listings on bumeran.com. Use the `maxResults` parameter to control how many results are returned per run.

#### Does Bumeran Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

#### Can I integrate Bumeran Scraper with other apps?

Yes. Bumeran Scraper works with Apify's [integrations](https://apify.com/integrations) to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

#### Can I use Bumeran Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the [Apify API](https://docs.apify.com/api/v2). Client libraries are available for JavaScript, Python, and other languages.

#### Can I use Bumeran Scraper through an MCP Server?

Yes. Apify provides an [MCP Server](https://apify.com/apify/actors-mcp-server) that lets AI assistants and agents call this actor directly. Use compact mode and `descriptionMaxLength` to keep payloads manageable for LLM context windows.

#### Is it legal to scrape bumeran.com?

This actor extracts publicly available data from bumeran.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

#### Your feedback

If you have questions, need a feature, or found a bug, please [open an issue](https://apify.com/blackfalcondata/bumeran-scraper/issues) on the actor's page in Apify Console. Your feedback helps us improve.

### You might also like

- [Adzuna Job Scraper](https://apify.com/blackfalcondata/adzuna-scraper) — Scrape adzuna.com — the global job board with 20+ country markets. Structured salary.
- [Arbeitsagentur Scraper](https://apify.com/blackfalcondata/arbeitsagentur-scraper) — Scrape arbeitsagentur.de — Germany's official employment portal with 1M+ listings. Contact data,.
- [Bayt.com Scraper — Jobs from the Middle East](https://apify.com/blackfalcondata/bayt-scraper) — Scrape bayt.com — the leading Middle East job board. Salary data, experience requirements.
- [Cadremploi Job Scraper](https://apify.com/blackfalcondata/cadremploi-scraper) — Scrape cadremploi.fr — French management and executive jobs. Salary ranges, apply links.
- [Dice.com Job Scraper](https://apify.com/blackfalcondata/dice-com-job-scraper) — Scrape dice.com — the leading U.S. tech job board. Structured salary (min/max/currency),.
- [Drushim Scraper - Israel Job Listings from drushim.co.il](https://apify.com/blackfalcondata/drushim-scraper) — Scrape drushim.co.il — Israel's leading job board. Geo-coordinates per listing, multi-filter search.
- [Duunitori Scraper](https://apify.com/blackfalcondata/duunitori-scraper) — Scrape duunitori.fi — Finland's largest job board with 22,000+ listings. Salary ranges, employment.
- [FINN.no Job Scraper — Norwegian Job Listings](https://apify.com/blackfalcondata/finn-job-scraper) — Scrape finn.no — Norway’s largest job portal with 40,000+ listings. AI summaries, contact data.

# Actor input Schema

## `query` (type: `string`):

Job search keywords (e.g. "developer", "analista"). Use JSON array for multiple queries.

## `country` (type: `string`):

Which LATAM market to search. Each country uses the local brand.

## `location` (type: `string`):

City or province filter (e.g. "Buenos Aires", "Lima"). Use JSON array for multiple.

## `sort` (type: `string`):

Sort results by relevance or date.

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

Maximum total job listings to return (0 = unlimited).

## `includeDetails` (type: `boolean`):

Include full job description text (returned inline by the API at no extra cost).

## `descriptionMaxLength` (type: `integer`):

Truncate description to this many characters. 0 = no truncation.

## `compact` (type: `boolean`):

Output only core fields (for AI-agent/MCP workflows).

## `incrementalMode` (type: `boolean`):

Compare against previous run state. Requires stateKey.

## `stateKey` (type: `string`):

Stable identifier for the tracked search universe (e.g. "ar-developer").

## `emitUnchanged` (type: `boolean`):

When incremental, also emit records that haven't changed.

## `emitExpired` (type: `boolean`):

When incremental, also emit records no longer found.

## Actor input object example

```json
{
  "query": "developer",
  "country": "AR",
  "sort": "RELEVANTES",
  "maxResults": 20,
  "includeDetails": true,
  "descriptionMaxLength": 0,
  "compact": false,
  "incrementalMode": false,
  "emitUnchanged": false,
  "emitExpired": false
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "query": "developer",
    "maxResults": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("blackfalcondata/bumeran-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 = {
    "query": "developer",
    "maxResults": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("blackfalcondata/bumeran-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 '{
  "query": "developer",
  "maxResults": 20
}' |
apify call blackfalcondata/bumeran-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Bumeran Scraper — LATAM Job Listings",
        "description": "Scrape bumeran.com.ar — the largest job board across 8 LATAM countries. Work modality, contract type, and incremental change tracking. Covers Argentina, Peru, Mexico, Venezuela, Chile, Ecuador, Panama, and more. Compact output for AI agents and MCP workflows.",
        "version": "0.1",
        "x-build-id": "MPeoDyGHwhqa1MYbV"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/blackfalcondata~bumeran-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-blackfalcondata-bumeran-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/blackfalcondata~bumeran-scraper/runs": {
            "post": {
                "operationId": "runs-sync-blackfalcondata-bumeran-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/blackfalcondata~bumeran-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-blackfalcondata-bumeran-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": [
                    "query"
                ],
                "properties": {
                    "query": {
                        "title": "Search Query",
                        "type": "string",
                        "description": "Job search keywords (e.g. \"developer\", \"analista\"). Use JSON array for multiple queries."
                    },
                    "country": {
                        "title": "Country",
                        "enum": [
                            "AR",
                            "PE",
                            "MX",
                            "VE",
                            "CL",
                            "EC",
                            "PA"
                        ],
                        "type": "string",
                        "description": "Which LATAM market to search. Each country uses the local brand.",
                        "default": "AR"
                    },
                    "location": {
                        "title": "Location",
                        "type": "string",
                        "description": "City or province filter (e.g. \"Buenos Aires\", \"Lima\"). Use JSON array for multiple."
                    },
                    "sort": {
                        "title": "Sort Order",
                        "enum": [
                            "RELEVANTES",
                            "RECIENTES"
                        ],
                        "type": "string",
                        "description": "Sort results by relevance or date.",
                        "default": "RELEVANTES"
                    },
                    "maxResults": {
                        "title": "Max Results",
                        "minimum": 0,
                        "maximum": 5000,
                        "type": "integer",
                        "description": "Maximum total job listings to return (0 = unlimited).",
                        "default": 50
                    },
                    "includeDetails": {
                        "title": "Include Job Description",
                        "type": "boolean",
                        "description": "Include full job description text (returned inline by the API at no extra cost).",
                        "default": true
                    },
                    "descriptionMaxLength": {
                        "title": "Description Max Length",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Truncate description to this many characters. 0 = no truncation.",
                        "default": 0
                    },
                    "compact": {
                        "title": "Compact Output",
                        "type": "boolean",
                        "description": "Output only core fields (for AI-agent/MCP workflows).",
                        "default": false
                    },
                    "incrementalMode": {
                        "title": "Incremental Mode",
                        "type": "boolean",
                        "description": "Compare against previous run state. Requires stateKey.",
                        "default": false
                    },
                    "stateKey": {
                        "title": "State Key",
                        "type": "string",
                        "description": "Stable identifier for the tracked search universe (e.g. \"ar-developer\")."
                    },
                    "emitUnchanged": {
                        "title": "Emit Unchanged Records",
                        "type": "boolean",
                        "description": "When incremental, also emit records that haven't changed.",
                        "default": false
                    },
                    "emitExpired": {
                        "title": "Emit Expired Records",
                        "type": "boolean",
                        "description": "When incremental, also emit records no longer found.",
                        "default": false
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```