# Karriere.at Scraper — Austria Job Listings (`blackfalcondata/karriere-at-scraper`) Actor

Scrape karriere.at — Austria’s #1 job portal with 20,000+ listings. Structured EUR salary (min/max/period), contact info with phone, and remote work filters. Incremental mode detects new and changed listings. Compact output for AI agents and MCP workflows.

- **URL**: https://apify.com/blackfalcondata/karriere-at-scraper.md
- **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community)
- **Categories:** Jobs
- **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 results

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

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

## What's an Apify Actor?

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

## How to integrate an Actor?

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

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.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 Karriere.at Scraper do?

Karriere.at Scraper extracts structured job data from [karriere.at](https://karriere.at) — including salary data, contact details, company metadata, full descriptions, remote-work indicators, and location data. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions, company metadata, and contact information) where the source provides them, 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 karriere.at?

Each result includes Core listing fields (`jobId`, `title`, `location`, `addressRegion`, `isRemote`, `salaryText`, `salaryMin`, and `salaryMax`, and more), detail fields when enrichment is enabled (`description`), contact and apply information (`applyUrl`, `directApply`, `contactName`, and `contactPhone`), and company metadata (`company`, `companySlug`, `companyUrl`, and `companyEmployees`). 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, company metadata, and contact information 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', 'marketing').
- **`location`** — City or region (e.g. 'wien', 'graz', 'salzburg').
- **`radius`** — Search radius around location in kilometers.
- **`remoteOnly`** — Show only jobs with home office option. (default: `false`)
- **`maxResults`** — Maximum total results (0 = unlimited). (default: `25`)
- **`includeDetails`** — Fetch full job details (description, structured salary, contact info, apply URL). (default: `true`)
- **`descriptionMaxLength`** — Truncate description to N chars. 0 = no truncation. (default: `0`)
- **`compact`** — Core fields only (for AI-agent/MCP workflows). (default: `false`)
- **`incrementalMode`** — Only emit new/changed jobs since last run. (default: `false`)
- **`stateKey`** — Stable identifier for tracked universe (required when incremental mode is on).

#### Input example

```json
{
  "query": "software engineer",
  "remoteOnly": false,
  "maxResults": 5,
  "includeDetails": true,
  "descriptionMaxLength": 0,
  "compact": false,
  "incrementalMode": 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": "10010591",
  "title": "IT-Support (m/w/d)",
  "company": "Aichelin GesmbH",
  "companySlug": "aichelin",
  "companyUrl": "http://www.aichelin.at",
  "companyEmployees": "51 - 100",
  "companyLogoUrl": "https://kcdn.at/company/8281/3387884/aichelin-ifs-logo-farbig-ppt_web.companysquare.png",
  "location": "Mödling",
  "addressRegion": "Niederösterreich",
  "isRemote": true,
  "salaryText": "ab 3.396,21 € monatlich",
  "salaryMin": 3396.21,
  "salaryMax": null,
  "salaryCurrency": "EUR",
  "salaryPeriod": "MONTH",
  "employmentType": "Vollzeit",
  "jobLevel": "Berufserfahrung",
  "description": "<p>Als Technologief&uuml;hrer mit hoher W&auml;rmebehandlungskompetenz haben wir uns auf die Projektierung und Herstellung von Industrieofenanlagen spezialisiert. Unsere Anlagen kommen haupts&auml;chl...",
  "url": "https://www.karriere.at/jobs/10010591",
  "applyUrl": "https://bewerben.karriere.at/9dKs2qV3",
  "directApply": true,
  "contactName": null,
  "contactPhone": null,
  "contactEmail": null,
  "postedDate": "2026-03-29T00:00:00+01:00",
  "portalUrl": "https://www.karriere.at",
  "scrapedAt": "2026-04-04T10:59:55.809Z",
  "source": "karriere.at",
  "changeType": null
}
```

### How to scrape karriere.at

1. Go to [Karriere.at Scraper](https://apify.com/blackfalcondata/karriere-at-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 karriere.at for market research and competitive analysis.
- Track salary trends across regions and categories over time.
- Monitor new and changed listings on scheduled runs without processing the full dataset every time.
- Build outreach lists using contact details and apply URLs from listings.
- Research company hiring patterns, employer profiles, and industry distribution.
- Use structured location data for regional analysis, mapping, and geo-targeting.
- 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 karriere.at?

Karriere.at 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:** $0.00005 per run
- **Per result:** $0.0015 per job record

Example costs:

- 10 results: **$0.02**
- 100 results: **$0.15**
- 500 results: **$0.75**

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

### FAQ

#### How many results can I get from karriere.at?

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

#### Does Karriere.at 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 Karriere.at Scraper with other apps?

Yes. Karriere.at 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 Karriere.at 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 Karriere.at 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 karriere.at?

This actor extracts publicly available data from karriere.at. 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/karriere-at-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.
- [France Travail Jobs Scraper](https://apify.com/blackfalcondata/francetravail-scraper) — Scrape francetravail.fr — France's official national job board. Salary ranges, skills, and contact.

# Actor input Schema

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

Job search keywords (e.g. 'developer', 'marketing').

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

City or region (e.g. 'wien', 'graz', 'salzburg').

## `radius` (type: `string`):

Search radius around location in kilometers.

## `remoteOnly` (type: `boolean`):

Show only jobs with home office option.

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

Maximum total results (0 = unlimited).

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

Fetch full job details (description, structured salary, contact info, apply URL).

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

Truncate description to N chars. 0 = no truncation.

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

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

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

Only emit new/changed jobs since last run.

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

Stable identifier for tracked universe (required when incremental mode is on).

## Actor input object example

```json
{
  "query": "software engineer",
  "remoteOnly": false,
  "maxResults": 5,
  "includeDetails": true,
  "descriptionMaxLength": 0,
  "compact": false,
  "incrementalMode": 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": "software engineer",
    "maxResults": 5
};

// Run the Actor and wait for it to finish
const run = await client.actor("blackfalcondata/karriere-at-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": "software engineer",
    "maxResults": 5,
}

# Run the Actor and wait for it to finish
run = client.actor("blackfalcondata/karriere-at-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": "software engineer",
  "maxResults": 5
}' |
apify call blackfalcondata/karriere-at-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Karriere.at Scraper — Austria Job Listings",
        "description": "Scrape karriere.at — Austria’s #1 job portal with 20,000+ listings. Structured EUR salary (min/max/period), contact info with phone, and remote work filters. Incremental mode detects new and changed listings. Compact output for AI agents and MCP workflows.",
        "version": "0.1",
        "x-build-id": "NJ1kBHf5b0Bsnp8PR"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/blackfalcondata~karriere-at-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-blackfalcondata-karriere-at-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/blackfalcondata~karriere-at-scraper/runs": {
            "post": {
                "operationId": "runs-sync-blackfalcondata-karriere-at-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/blackfalcondata~karriere-at-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-blackfalcondata-karriere-at-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                    "query": {
                        "title": "Search Query",
                        "type": "string",
                        "description": "Job search keywords (e.g. 'developer', 'marketing')."
                    },
                    "location": {
                        "title": "Location",
                        "type": "string",
                        "description": "City or region (e.g. 'wien', 'graz', 'salzburg')."
                    },
                    "radius": {
                        "title": "Radius (km)",
                        "enum": [
                            "0",
                            "10",
                            "20",
                            "30",
                            "50"
                        ],
                        "type": "string",
                        "description": "Search radius around location in kilometers."
                    },
                    "remoteOnly": {
                        "title": "Remote Only",
                        "type": "boolean",
                        "description": "Show only jobs with home office option.",
                        "default": false
                    },
                    "maxResults": {
                        "title": "Max Results",
                        "minimum": 0,
                        "maximum": 5000,
                        "type": "integer",
                        "description": "Maximum total results (0 = unlimited).",
                        "default": 25
                    },
                    "includeDetails": {
                        "title": "Include Details",
                        "type": "boolean",
                        "description": "Fetch full job details (description, structured salary, contact info, apply URL).",
                        "default": true
                    },
                    "descriptionMaxLength": {
                        "title": "Description Max Length",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Truncate description to N chars. 0 = no truncation.",
                        "default": 0
                    },
                    "compact": {
                        "title": "Compact Output",
                        "type": "boolean",
                        "description": "Core fields only (for AI-agent/MCP workflows).",
                        "default": false
                    },
                    "incrementalMode": {
                        "title": "Incremental Mode",
                        "type": "boolean",
                        "description": "Only emit new/changed jobs since last run.",
                        "default": false
                    },
                    "stateKey": {
                        "title": "State Key",
                        "type": "string",
                        "description": "Stable identifier for tracked universe (required when incremental mode is on)."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```