# Zhaopin Scraper (`blackfalcondata/zhaopin-scraper`) Actor

Scrape zhaopin.com — China's leading recruitment platform. Salary data, HR contact info, and skill requirements per listing.

- **URL**: https://apify.com/blackfalcondata/zhaopin-scraper.md
- **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community)
- **Categories:** Jobs
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 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 Zhaopin Scraper do?

Zhaopin Scraper extracts structured job data from [zhaopin.com](https://zhaopin.com) — including salary data, company metadata, full descriptions, location data, and skill tags. It supports keyword search and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions and company metadata) 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 zhaopin.com?

Each result includes Core listing fields (`jobId`, `title`, `industry`, `financingStage`, `location`, `district`, `address`, and `latitude`, and more), detail fields when enrichment is enabled (`benefits` and `description`), and company metadata (`company`, `companyId`, `companyLogo`, and `companySize`). 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 and a result limit. Additional filters and options are available in the input schema.

Key parameters:

- **`query`** — Job search keywords (e.g. "python", "销售"). Leave empty to browse all jobs in the selected city.
- **`cityId`** — City code (e.g. "530" for Beijing, "538" for Shanghai, "765" for Shenzhen). Defaults to Beijing. (default: `"530"`)
- **`maxResults`** — Maximum total results. Zhaopin limits to 100 results per query (5 pages × 20). Set 0 for maximum available. (default: `25`)
- **`includeDetails`** — Fetch full job details (description, company profile, address, geo coordinates, HR contact, skills, benefits). (default: `true`)
- **`descriptionMaxLength`** — Truncate description to N characters. 0 = no truncation. (default: `0`)
- **`compact`** — Core fields only — for AI-agent and MCP workflows. (default: `false`)
- **`incrementalMode`** — Only return new or changed listings compared to the previous run. (default: `false`)
- **`stateKey`** — Identifier for the tracked universe. Use different keys for different query/city combinations.

#### Input example

```json
{
  "query": "developer",
  "cityId": "530",
  "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": "4a9d0bda98b5aefe3b6b7faa1bf532c944bde53c6da104a161efcff0d1b332fa",
  "title": "python后端开发工程师",
  "company": "北京阿提拉科技有限公司",
  "companyId": 14764600,
  "companyLogo": "https://storage-public.zhaopin.cn/CompanyLogo/20150804/150542FB272A44B1A7477DC659096ACE.jpg",
  "companySize": "300-499人",
  "companyUrl": "http://company.zhaopin.com/CZ147646000.htm",
  "companyDescription": "阿提拉基本介绍 由来：阿提拉(ATTILA)是一位雄心壮志，才智超群，高超外交手腕，傲居全人类，持战神之剑，纵横无敌，握\"上帝之鞭\"的东方人，阿提拉建立的匈奴帝国是欧亚大草原上最辉煌的帝国。从勒内格鲁塞的不朽著作『草原帝国』中第一次接触到阿提拉，便被阿提拉深深吸引。2006年，开创以阿提拉为名字的科技公司，公司将借阿提拉之神剑，望最辉煌的成绩写入历史。 北京阿提拉公司成立于2006年10月30日，...",
  "industry": "计算机软件",
  "financingStage": "未融资",
  "location": "北京",
  "district": "西城",
  "address": "北京市西城区阜成门外大街2号万通金融中心A1008室",
  "latitude": "39.922733",
  "longitude": "116.354622",
  "salary": "1-1.7万",
  "salaryMin": 10001,
  "salaryMax": 17000,
  "education": "学历不限",
  "experience": "经验不限",
  "employmentType": "全职",
  "jobCategory": "软件研发",
  "recruitCount": 5,
  "skills": [
    "Python"
  ],
  "benefits": [],
  "description": "1）负责大模型应用架构设计、开发及优化工作，重点聚焦自然语言处理、对话系统、文本生成等场景；\n2）参与企业级AI项目的全周期建设，包括需求分析、模型选型、系统开发及技术落地实施；\n3）负责现有大模型应用系统的性能优化与迭代维护；\n4）深入理解业务场景需求，进行模型微调与提示词工程优化，设计效果评估体系；\n5）跟踪人工领域前沿技术动态，探索大模型和小模型在行业的训练与微调。\n2）具备1年以上NLP、...",
  "summary": "1）负责大模型应用架构设计、开发及优化工作，重点聚焦自然语言处理、对话系统、文本生成等场景；2）参与企业级AI项目的全周期建设，包括需求分析、模型选型、系统开发及技术落地实施；3）负责现有大模型应用系统的性能优化与迭代维护；4）深入理解业务场景需求，进行模型微调与提示词工程优化，设计效果评估体系；5）跟踪人工领域前沿技术动态，探索大模型和小模型在行业的训练与微调。2）具备1年以上NLP、LLM项目...",
  "hrName": "王永青",
  "hrTitle": "总经理",
  "portalUrl": "http://www.zhaopin.com/jobdetail/CC147646000J40851805014.htm",
  "postedDate": "2026-03-28T13:01:06+08:00",
  "firstPostedDate": "2026-03-28T13:01:06+08:00",
  "scrapedAt": "2026-03-28T13:08:53.032Z",
  "source": "zhaopin.com"
}
```

### How to scrape zhaopin.com

1. Go to [Zhaopin Scraper](https://apify.com/blackfalcondata/zhaopin-scraper) in Apify Console.
2. Enter a search keyword.
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 zhaopin.com 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.
- 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.
- Analyze skill demand across listings using structured skill tags.

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

Zhaopin 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:** $0.01 per run
- **Per result:** $0.002 per job record

Example costs:

- 10 results: **$0.03**
- 100 results (max per query): **$0.21**

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

### FAQ

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

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

#### Does Zhaopin 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 Zhaopin Scraper with other apps?

Yes. Zhaopin 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 Zhaopin 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 Zhaopin 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 zhaopin.com?

This actor extracts publicly available data from zhaopin.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/zhaopin-scraper/issues) on the actor's page in Apify Console. Your feedback helps us improve.

### You might also like

- [Arbeitsagentur Scraper](https://apify.com/blackfalcondata/arbeitsagentur-scraper) — Extract job listings from arbeitsagentur.de — Germany's official public employment portal with 1M+.
- [Dice.com Job Scraper](https://apify.com/blackfalcondata/dice-com-job-scraper) — Scrape Dice.com tech job listings with structured salary (min/max/currency), full descriptions,.
- [Drushim Scraper - Israel Job Listings from drushim.co.il](https://apify.com/blackfalcondata/drushim-scraper) — Extract structured job listings from drushim.co.il, Israel's leading job board. Search by keyword,.
- [Duunitori Scraper](https://apify.com/blackfalcondata/duunitori-scraper) — Extract structured job listings from Duunitori.fi — Finland's largest job board. Salary ranges,.
- [Glassdoor Job Scraper](https://apify.com/blackfalcondata/glassdoor-job-scraper) — Extract structured job listings from Glassdoor across 21 markets with salary data, filters, compact.
- [Indeed Job Scraper](https://apify.com/blackfalcondata/indeed-job-scraper) — Extract structured job listings from Indeed across 62 markets with built-in change tracking.
- [Jobdanmark Scraper](https://apify.com/blackfalcondata/jobdanmark-scraper) — Extract structured job listings from jobdanmark.dk — Denmark's job portal with 14,500+ listings,.
- [Jobindex Scraper](https://apify.com/blackfalcondata/jobindex-scraper) — Scrape structured job listings from Denmark's largest job portals — Jobindex.dk, IT-Jobbank.dk.

# Actor input Schema

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

Job search keywords (e.g. "python", "销售"). Leave empty to browse all jobs in the selected city.

## `cityId` (type: `string`):

City code (e.g. "530" for Beijing, "538" for Shanghai, "765" for Shenzhen). Defaults to Beijing.

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

Maximum total results. Zhaopin limits to 100 results per query (5 pages × 20). Set 0 for maximum available.

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

Fetch full job details (description, company profile, address, geo coordinates, HR contact, skills, benefits).

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

Truncate description to N characters. 0 = no truncation.

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

Core fields only — for AI-agent and MCP workflows.

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

Only return new or changed listings compared to the previous run.

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

Identifier for the tracked universe. Use different keys for different query/city combinations.

## Actor input object example

```json
{
  "cityId": "530",
  "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": "",
    "maxResults": 5
};

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

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

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Zhaopin Scraper",
        "description": "Scrape zhaopin.com — China's leading recruitment platform. Salary data, HR contact info, and skill requirements per listing.",
        "version": "0.1",
        "x-build-id": "XabqexwgRJXoC63tv"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/blackfalcondata~zhaopin-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-blackfalcondata-zhaopin-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/blackfalcondata~zhaopin-scraper/runs": {
            "post": {
                "operationId": "runs-sync-blackfalcondata-zhaopin-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/blackfalcondata~zhaopin-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-blackfalcondata-zhaopin-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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. \"python\", \"销售\"). Leave empty to browse all jobs in the selected city."
                    },
                    "cityId": {
                        "title": "City",
                        "type": "string",
                        "description": "City code (e.g. \"530\" for Beijing, \"538\" for Shanghai, \"765\" for Shenzhen). Defaults to Beijing.",
                        "default": "530"
                    },
                    "maxResults": {
                        "title": "Max Results",
                        "minimum": 0,
                        "maximum": 100,
                        "type": "integer",
                        "description": "Maximum total results. Zhaopin limits to 100 results per query (5 pages × 20). Set 0 for maximum available.",
                        "default": 25
                    },
                    "includeDetails": {
                        "title": "Include Details",
                        "type": "boolean",
                        "description": "Fetch full job details (description, company profile, address, geo coordinates, HR contact, skills, benefits).",
                        "default": true
                    },
                    "descriptionMaxLength": {
                        "title": "Description Max Length",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Truncate description to N characters. 0 = no truncation.",
                        "default": 0
                    },
                    "compact": {
                        "title": "Compact Output",
                        "type": "boolean",
                        "description": "Core fields only — for AI-agent and MCP workflows.",
                        "default": false
                    },
                    "incrementalMode": {
                        "title": "Incremental Mode",
                        "type": "boolean",
                        "description": "Only return new or changed listings compared to the previous run.",
                        "default": false
                    },
                    "stateKey": {
                        "title": "State Key",
                        "type": "string",
                        "description": "Identifier for the tracked universe. Use different keys for different query/city combinations."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```