# e-fellows.net Scraper - DACH Elite Graduate Jobs (`santamaria-automations/e-fellows-scraper`) Actor

Extract elite graduate jobs from e-fellows.net: trainee programs, consulting/finance entry positions, internships, Bachelor/Master thesis. Premium DACH talent pipeline data for BCG, McKinsey, Deutsche Bank, Siemens. Export data, run via API, or integrate with other tools.

- **URL**: https://apify.com/santamaria-automations/e-fellows-scraper.md
- **Developed by:** [Alessandro Santamaria](https://apify.com/santamaria-automations) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 jobs

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

## e-fellows.net Scraper — DACH Elite Graduate Jobs

Tap into Germany's elite graduate talent pipeline — e-fellows.net lists exclusive trainee programs, consulting, and finance entry-level roles at top DACH employers like BCG, McKinsey, Deutsche Bank, Allianz, Bosch, BMW, Siemens and Bertelsmann.

Scrape premium graduate opportunities you will not find on generic job boards: structured trainee programs, Bachelor/Master thesis openings, PhD positions, working-student roles and permanent entry positions — all with the metadata that matters for talent intelligence (required degree, study field, start date, duration, languages, application deadline).

### Why e-fellows.net

e-fellows.net is THE platform for top DACH graduates. Employers pay premium to list here because they want the best: Bosch-Gruppe, Allianz, Deutsche Bank, Freshfields, KPMG, Bertelsmann, Hengeler Mueller, Gleiss Lutz, TNG Technology Consulting, McKinsey & Company, Deloitte, BMW Group, Munich Re, Vodafone and Universität St.Gallen are all active recruiters.

If you are tracking elite talent pipelines, benchmarking entry-level compensation at top firms, or enriching a graduate-focused career product, this is the dataset you need.

### Use with AI Agents (MCP)

Connect this actor to any MCP-compatible AI client — Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or custom agents.

**Apify MCP server URL:**

````

https://mcp.apify.com?tools=santamaria-automations/e-fellows-scraper

````

**Example prompt once connected:**

> "Use `e-fellows-scraper` to scrape job listings from e fellows. Return results as a table."

Clients that support dynamic tool discovery (Claude.ai, VS Code) will receive the full input schema automatically via `add-actor`.

### Features

- **All job types** — Praktikum, Traineeprogramm, Werkstudent, Einstiegsposition, Führungsposition, Doktorand, Masterarbeit, Bachelorarbeit
- **Filter by industry / function** — IT, Consulting / Beratung, Finanzen / Bankwesen, Recht, Ingenieurwesen, Marketing / PR, Strategie / Business Development, HR, Wissenschaft / Forschung and more
- **Filter by city** — München, Berlin, Frankfurt, Hamburg, Köln, Düsseldorf, Stuttgart, Bonn and more
- **Required degree** — Bachelor, Master, PhD where published
- **Study field** — Informatik, BWL, Maschinenbau, Jura, etc.
- **Start date & duration** — critical for internship / trainee pipeline planning
- **Languages required** — Deutsch, English, French, etc.
- **Salary** — extracted where published in schema markup
- **Work mode** — Remote / Hybrid / Onsite
- **Full descriptions** — requirements, responsibilities, benefits
- **Employer profile URL + logo**
- **Direct apply link** to the employer's own career portal
- **Application deadline** and posted date

### Input

```json
{
  "searchQueries": ["Consulting"],
  "location": "München",
  "jobType": "traineeprogramm",
  "category": "consulting-beratung",
  "maxResultsPerQuery": 100,
  "includeJobDetails": true,
  "proxyConfiguration": { "useApifyProxy": true }
}
````

#### Input parameters

| Field | Type | Description |
|---|---|---|
| `searchQueries` | string\[] | One or more keywords; runs as separate searches, results deduplicated |
| `searchQuery` | string | Single keyword (legacy, same as `searchQueries: [value]`) |
| `location` | string | German city (e.g. München, Berlin, Frankfurt) |
| `jobType` | enum | praktikum / traineeprogramm / werkstudent / einstieg / fuehrungsposition / doktorand / masterarbeit / bachelorarbeit |
| `category` | string | Industry or function alias (e.g. `it`, `consulting-beratung`, `finanzen-bankwesen-versicherungen`) |
| `maxResultsPerQuery` | integer | Max results per search keyword (default 100) |
| `maxResults` | integer | Total cap across all queries (0 = unlimited) |
| `includeJobDetails` | boolean | Fetch detail pages for full description + metadata (default true) |
| `proxyConfiguration` | object | Apify proxy settings |

### Output example

```json
{
  "company_logo_url": "https://jobs.e-fellows.net/sites/default/files/.../vodafone_logo.png.webp",
  "id": "1555",
  "title": "Discover Trainee Tech/Data (m/w/d) in Düsseldorf",
  "url": "https://jobs.e-fellows.net/job/discover-trainee-techdata-mwd-duesseldorf-1555",
  "company": "Vodafone",
  "company_url": "https://jobs.e-fellows.net/organization/vodafone",
  "company_industry": "IT",
  "location": "Düsseldorf",
  "city": "Düsseldorf",
  "region": "Nordrhein-Westfalen",
  "country": "DE",
  "salary_min": null,
  "salary_max": null,
  "salary_currency": "EUR",
  "employment_type": "Traineeprogramm",
  "job_category": "IT",
  "start_date": "01.06.2026",
  "duration": "18 months",
  "work_mode": null,
  "required_degree": null,
  "study_field": null,
  "languages": [],
  "description_snippet": "If we can connect, we can create a better future. Join us. Discover Trainee Tech/Data (m/w/d) in Düsseldorf ...",
  "requirements": [],
  "responsibilities": [],
  "company_benefits": [],
  "application_deadline": "2026-05-17T16:40:51Z",
  "posted_at": "2026-03-22T08:40:51Z",
  "expires_at": "2026-05-17T16:40:51Z",
  "apply_url": "https://jobs.vodafone.com/careers/apply?pid=563018695360978&domain=vodafone.com&hl=de",
  "search_query": "Consulting",
  "source_url": "https://jobs.e-fellows.net/job/discover-trainee-techdata-mwd-duesseldorf-1555",
  "source_platform": "e-fellows.net",
  "scraped_at": "2026-04-07T12:00:00Z"
}
```

### Use cases

#### Talent intelligence for consulting

Track McKinsey, BCG, Bain and Tier-2 consulting trainee pipelines across DACH. Who is hiring, in which cities, for which practice areas, starting when — all in one structured feed.

#### Competitive hiring research for investment banks

Monitor Deutsche Bank, ING, KfW IPEX-Bank, Munich Re, DekaBank, Allianz and Big 4 entry-level programs. Benchmark headcount expansion against peer institutions.

#### University career services

Curate high-quality opportunities for your top students. Filter by study field, required degree, and category to match offers with specific cohorts.

#### HR tech & graduate career products

Enrich your graduate job board with exclusive e-fellows listings. Elite employer data is a retention driver for candidate audiences.

#### Market research — DACH premium employer hiring trends

Track how Bosch-Gruppe, BMW Group, Siemens Advanta, Schneider Electric and Vodafone scale their trainee intake quarter over quarter.

#### Candidate intelligence — PhD & thesis opportunities

Identify which firms publish PhD positions, master thesis opportunities and working-student roles — a strong signal for R\&D investment and early-career strategy.

#### Benchmarking — salary and benefits at elite DACH employers

Where salary data is published, compare consulting, banking, legal, and industrial trainee programs side-by-side.

### Pricing

Pay-per-result. Set `includeJobDetails: false` for listing-only mode (title, company, location, snippet) at lower cost, or keep the default `includeJobDetails: true` for full descriptions, requirements, languages, apply links and all metadata.

| Event | Price |
|---|---|
| Run start | $0.001 |
| Job listing result | $0.0015 |
| Full job detail | $0.003 |

**Listing-only mode** (`includeJobDetails: false`): 1,000 jobs ≈ **$1.50**

**Full detail mode** (`includeJobDetails: true`, default): 1,000 jobs ≈ **$3.00**

### Issues & Feedback

Spotted a bug, missing field, or want to request a new feature? Open an issue on the [actor issues page](https://apify.com/santamaria-automations/ACTOR_ID_PLACEHOLDER/issues) — we actively maintain this actor.

### Related Actors

Need more DACH and European job market coverage? Check out our other job intelligence scrapers:

- [StepStone.de Scraper](https://apify.com/santamaria-automations/stepstone-de-scraper) — German national job board, full coverage
- [Stellenmarkt.de Scraper](https://apify.com/santamaria-automations/stellenmarkt-de-scraper) — German national job board with salaries
- [Jobs.ch Scraper](https://apify.com/santamaria-automations/jobs-ch-scraper) — Swiss national job board
- [Karriere.at Scraper](https://apify.com/santamaria-automations/karriere-at-scraper) — Austrian national job board
- [Welcome to the Jungle Scraper](https://apify.com/santamaria-automations/welcome-to-the-jungle-scraper) — European startup & tech jobs
- [Pracuj.pl Scraper](https://apify.com/santamaria-automations/pracuj-pl-scraper) — Polish national job board

# Actor input Schema

## `searchQueries` (type: `array`):

One or more search keywords (e.g. 'Consulting', 'Finance', 'Trainee'). Each keyword runs as a separate search against e-fellows.net. Results are deduplicated across queries.

## `searchQuery` (type: `string`):

Single search keyword (backward compatible). Use 'searchQueries' for multiple keywords.

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

German city (e.g. 'München', 'Berlin', 'Frankfurt', 'Hamburg'). Leave empty to search the entire DACH region.

## `jobType` (type: `string`):

Filter by e-fellows career category. 'Praktikum' = Internship, 'Traineeprogramm' = Graduate Trainee, 'Werkstudent' = Working Student, 'Einstieg' = Permanent Entry, 'Führungsposition' = Leadership, 'Doktorand' / 'Masterarbeit' / 'Bachelorarbeit' = Thesis positions.

## `category` (type: `string`):

Optional industry or function filter. Examples: 'it', 'consulting-beratung', 'finanzen-bankwesen-versicherungen', 'recht', 'ingenieurwesen', 'marketing-pr', 'strategie-business-development'.

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

Maximum results per search keyword. Each query gets up to this many results (deduplicated).

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

Total cap across all queries. Set to 0 for unlimited (each query limited by maxResultsPerQuery).

## `includeJobDetails` (type: `boolean`):

When enabled (recommended), visits each job detail page to extract full description, required degree, study fields, languages, application link, start date, and duration. When disabled, only listing-page data is returned (faster, cheaper).

## `proxyConfiguration` (type: `object`):

Apify proxy settings for avoiding rate limits

## Actor input object example

```json
{
  "searchQueries": [
    "Consulting"
  ],
  "searchQuery": "Consulting",
  "location": "München",
  "jobType": "",
  "maxResultsPerQuery": 50,
  "maxResults": 0,
  "includeJobDetails": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `jobListings` (type: `string`):

Dataset containing scraped job listings

# 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 = {
    "searchQueries": [
        "Consulting"
    ],
    "maxResultsPerQuery": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("santamaria-automations/e-fellows-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 = {
    "searchQueries": ["Consulting"],
    "maxResultsPerQuery": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("santamaria-automations/e-fellows-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 '{
  "searchQueries": [
    "Consulting"
  ],
  "maxResultsPerQuery": 50
}' |
apify call santamaria-automations/e-fellows-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "e-fellows.net Scraper - DACH Elite Graduate Jobs",
        "description": "Extract elite graduate jobs from e-fellows.net: trainee programs, consulting/finance entry positions, internships, Bachelor/Master thesis. Premium DACH talent pipeline data for BCG, McKinsey, Deutsche Bank, Siemens. Export data, run via API, or integrate with other tools.",
        "version": "1.0",
        "x-build-id": "5TGixGXqKHw0pPSlk"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/santamaria-automations~e-fellows-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-santamaria-automations-e-fellows-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/santamaria-automations~e-fellows-scraper/runs": {
            "post": {
                "operationId": "runs-sync-santamaria-automations-e-fellows-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/santamaria-automations~e-fellows-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-santamaria-automations-e-fellows-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                    "searchQueries": {
                        "title": "Search Keywords",
                        "type": "array",
                        "description": "One or more search keywords (e.g. 'Consulting', 'Finance', 'Trainee'). Each keyword runs as a separate search against e-fellows.net. Results are deduplicated across queries.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "searchQuery": {
                        "title": "Search Keyword (single, legacy)",
                        "type": "string",
                        "description": "Single search keyword (backward compatible). Use 'searchQueries' for multiple keywords."
                    },
                    "location": {
                        "title": "Location",
                        "type": "string",
                        "description": "German city (e.g. 'München', 'Berlin', 'Frankfurt', 'Hamburg'). Leave empty to search the entire DACH region."
                    },
                    "jobType": {
                        "title": "Job Type / Career Stage",
                        "enum": [
                            "",
                            "praktikum",
                            "traineeprogramm",
                            "werkstudent",
                            "einstieg",
                            "fuehrungsposition",
                            "doktorand",
                            "masterarbeit",
                            "bachelorarbeit"
                        ],
                        "type": "string",
                        "description": "Filter by e-fellows career category. 'Praktikum' = Internship, 'Traineeprogramm' = Graduate Trainee, 'Werkstudent' = Working Student, 'Einstieg' = Permanent Entry, 'Führungsposition' = Leadership, 'Doktorand' / 'Masterarbeit' / 'Bachelorarbeit' = Thesis positions.",
                        "default": ""
                    },
                    "category": {
                        "title": "Industry / Function",
                        "type": "string",
                        "description": "Optional industry or function filter. Examples: 'it', 'consulting-beratung', 'finanzen-bankwesen-versicherungen', 'recht', 'ingenieurwesen', 'marketing-pr', 'strategie-business-development'."
                    },
                    "maxResultsPerQuery": {
                        "title": "Max Results per Query",
                        "minimum": 1,
                        "type": "integer",
                        "description": "Maximum results per search keyword. Each query gets up to this many results (deduplicated).",
                        "default": 100
                    },
                    "maxResults": {
                        "title": "Max Total Results",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Total cap across all queries. Set to 0 for unlimited (each query limited by maxResultsPerQuery).",
                        "default": 0
                    },
                    "includeJobDetails": {
                        "title": "Include Full Job Details",
                        "type": "boolean",
                        "description": "When enabled (recommended), visits each job detail page to extract full description, required degree, study fields, languages, application link, start date, and duration. When disabled, only listing-page data is returned (faster, cheaper).",
                        "default": true
                    },
                    "proxyConfiguration": {
                        "title": "Proxy Configuration",
                        "type": "object",
                        "description": "Apify proxy settings for avoiding rate limits",
                        "default": {
                            "useApifyProxy": true
                        }
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```