# AI Web Task Runner (`solutionssmart/ai-web-task-runner`) Actor

Run natural-language browser tasks with Playwright. Extract structured data, follow task-relevant links, capture screenshots, generate reports, and export reusable scripts.

- **URL**: https://apify.com/solutionssmart/ai-web-task-runner.md
- **Developed by:** [Solutions Smart](https://apify.com/solutionssmart) (community)
- **Categories:** AI, Agents
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $50.00 / 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 AI Web Task Runner do?

AI Web Task Runner is an Apify Actor that turns **natural-language browser tasks** into controlled Playwright automation runs.

It can:

- browse public websites
- follow task-relevant links
- extract structured results
- capture screenshots
- save raw HTML
- generate a human-readable report
- export a reusable Playwright Python script from the successful task trajectory

This Actor is designed for **public-web automation, extraction, research, and script generation**.

It is **not** a login bot, spam bot, comment bot, messaging bot, or anti-bot bypass tool.

### How it differs from a fixed scraper

Most scrapers are built for one website and one output shape.

AI Web Task Runner is different:

- you describe the task in natural language
- the Actor opens one or more start URLs
- it follows task-relevant public pages
- it records an action trajectory
- it extracts best-effort results even without an LLM
- it can optionally use an LLM for safer planning, schema mapping, and summarization

This makes it useful for a wider class of public-web tasks than a single-purpose scraper, while still staying controlled and safety-constrained.

### Main modes

#### `run_task`

Default mode.

Use this for general browser-task execution, such as:

- finding features
- locating pricing information
- summarizing a product page
- finding the correct public page for a business task

#### `extract`

Use this for structured extraction.

If you provide an `extractionSchema`, the Actor tries to map observed content into that schema.

#### `research`

Use this to browse task-relevant public pages and produce a summary with source URLs.

#### `generate_script`

Use this to run a task and export a reusable standalone Playwright Python script based on the successful action trajectory.

#### `audit_lead`

Optional compatibility mode.

This preserves the previous lead/contact-audit workflow and outputs company-profile style results for website contact and outreach auditing.

### Input examples

#### Example 1: Pricing extraction

```json
{
  "task": "Find the pricing plans and extract plan name, price, billing period, and main features.",
  "startUrls": [
    { "url": "https://example.com" }
  ],
  "mode": "extract",
  "extractionSchema": {
    "plans": [
      {
        "name": "",
        "price": "",
        "billingPeriod": "",
        "features": []
      }
    ]
  },
  "maxPages": 5,
  "captureScreenshots": true
}
````

#### Example 2: Research task

```json
{
  "task": "Find what services this company offers and summarize them with source URLs.",
  "startUrls": [
    { "url": "https://example.com" }
  ],
  "mode": "research",
  "maxPages": 6,
  "maxDepth": 2,
  "sameDomainOnly": true
}
```

#### Example 3: Generate reusable Playwright script

```json
{
  "task": "Open the website, navigate to the pricing page, and extract the pricing table.",
  "startUrls": [
    { "url": "https://example.com" }
  ],
  "mode": "generate_script",
  "generateReusableScript": true,
  "maxPages": 5,
  "captureScreenshots": true
}
```

#### Example 4: Optional lead audit template

```json
{
  "task": "Audit this website for contact and sales outreach readiness.",
  "startUrls": [
    { "url": "https://example.com" }
  ],
  "mode": "audit_lead",
  "maxPages": 5,
  "captureScreenshots": true
}
```

### Output record types

For all main modes except `audit_lead`, the **default dataset** contains only:

#### `task_result`

One final task-level record. This is the main export row and the recommended unit for pricing and CSV export.

Detailed page snapshots and extracted items are stored in the key-value store and referenced from the final task result.

It contains:

- task
- mode
- final status
- pages visited
- steps executed
- summary
- result payload
- confidence
- screenshot keys
- report key
- trajectory key
- generated script key if applicable
- page snapshots key
- extracted items key

#### `audit_lead` compatibility output

When `mode = audit_lead`, the **default dataset** contains:

- `company_profile`

The older `page` records are preserved as compatibility artifacts in the key-value store, not as billable default dataset rows.

### Key-value store artifacts

For the main task-runner modes, the Actor saves:

- `REPORT.html`
- `TASK_RESULT.json`
- `TASK_TRAJECTORY.json`
- `PAGE_SNAPSHOTS.json`
- `EXTRACTED_ITEMS.json`
- `GENERATED_SCRIPT_RECORD.json` if enabled
- `generated_script.py` if enabled
- `generated_script_metadata.json` if enabled
- screenshots if enabled
- raw HTML if `saveHtml = true`

This means the default dataset stays clean and export-friendly, while detailed execution artifacts remain available in the key-value store.

For `audit_lead`, compatibility artifacts include:

- `COMPANY_PROFILES.json`
- `PAGE_RECORDS.json`
- `REPORT.html`
- `run_log.json`

### Generated Playwright script

When `generateReusableScript = true` or `mode = generate_script`, the Actor saves:

- `generated_script.py`
- `generated_script_metadata.json`

The generated script:

- is standalone Playwright Python
- is based on the recorded safe action trajectory
- includes comments for the reproduced browser steps
- contains no secrets
- does not rely on arbitrary LLM-generated executable code

### Safety model

The Actor only allows a fixed safe action set:

- `visit_url`
- `click_link_text`
- `click_css_selector`
- `type_text`
- `press_key`
- `select_option`
- `wait`
- `extract_current_page`
- `collect_links`
- `stop`

The Actor does **not** allow:

- arbitrary Python execution
- shell execution
- unrestricted JavaScript execution
- login/cookie automation in V1
- posting, commenting, or messaging automation
- paywall bypass
- CAPTCHA bypass
- destructive actions
- purchases or form submissions that change state

### Deterministic vs LLM-assisted mode

#### Deterministic mode

If `llmProvider = none`, the Actor still works.

It will:

- open start URLs
- collect page snapshots
- infer task keywords
- follow obvious task-relevant links within limits
- extract visible text, headings, links, tables, prices, emails, phones, and structured candidates
- produce a best-effort task result

#### LLM-assisted mode

If an LLM provider is configured, the Actor may use the model for:

- safe action planning
- choosing the next allowed action
- mapping page snapshots into `extractionSchema`
- summarizing findings

The LLM is constrained to structured JSON outputs and validated before use.

If the LLM fails, the Actor falls back to deterministic behavior.

### Optional lead-audit template

The older lead/contact-auditor behavior is still available in:

```json
"mode": "audit_lead"
```

That mode keeps:

- lead-audit heuristics
- page-level contact findings
- company profile aggregation
- compatibility outputs for outreach workflows

It is now an optional template mode, not the main identity of the Actor.

### Example use cases

- Extract pricing plans from a SaaS website
- Extract a table from a public webpage
- Research product features from a company website
- Find contact or sales paths from a public website
- Summarize same-domain public pages related to a topic
- Generate a reusable Playwright script for a repeated browser task

### Limitations

- This Actor is intended for public websites.
- It does not support login-heavy or state-changing automation in V1.
- Deterministic extraction is heuristic and best-effort.
- Some websites hide key data behind scripts, forms, or client-side UI patterns.
- LLM mode can improve planning and summarization, but it is still constrained and fallback-safe.
- It is not an anti-bot bypass product.

### Troubleshooting

#### I only got the homepage

Increase `maxDepth` or start from a more relevant public page.

#### The final result is incomplete

Increase:

- `maxPages`
- `maxDepth`
- `timeoutSeconds`

and consider using `extract` mode with an `extractionSchema`.

#### The Actor did not visit the page I expected

Check:

- `TASK_TRAJECTORY.json`
- `PAGE_SNAPSHOTS.json`
- `EXTRACTED_ITEMS.json`
- `REPORT.html`

These artifacts show what the Actor actually saw and did.

#### I want the older contact-audit behavior

Use:

```json
"mode": "audit_lead"
```

#### The Actor should not submit forms or log in

That is expected in V1. The safety model deliberately avoids state-changing automation.

# Actor input Schema

## `task` (type: `string`):

Describe the browser task in natural language.

## `startUrls` (type: `array`):

One or more public URLs where the task should begin.

## `mode` (type: `string`):

Choose how the Actor should execute the browser task.

## `extractionSchema` (type: `object`):

Optional JSON schema for structured extraction.

## `outputFormat` (type: `string`):

Preferred final task result format.

## `maxPages` (type: `integer`):

Maximum number of pages to visit.

## `maxSteps` (type: `integer`):

Maximum number of safe browser actions to execute.

## `maxDepth` (type: `integer`):

Maximum link depth from the start URLs.

## `sameDomainOnly` (type: `boolean`):

If enabled, only follow links within the same registered domain.

## `captureScreenshots` (type: `boolean`):

Save screenshots of visited pages.

## `saveHtml` (type: `boolean`):

Save raw HTML for visited pages.

## `generateReusableScript` (type: `boolean`):

Generate a standalone Playwright Python script from the successful task trajectory.

## `llmProvider` (type: `string`):

Optional provider for action planning, extraction mapping, and summarization.

## `llmApiKey` (type: `string`):

Optional secret API key for the selected LLM provider.

## `llmModel` (type: `string`):

Optional specific model identifier.

## `temperature` (type: `number`):

Controls response randomness for LLM-assisted mode.

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

Optional proxy settings.

## `headless` (type: `boolean`):

Run Playwright in headless mode.

## `timeoutSeconds` (type: `integer`):

Maximum run time in seconds.

## `waitUntil` (type: `string`):

Playwright wait condition for navigations.

## Actor input object example

```json
{
  "task": "Find the main product features on this website and summarize them.",
  "startUrls": [
    {
      "url": "https://example.com"
    }
  ],
  "mode": "run_task",
  "extractionSchema": {},
  "outputFormat": "auto",
  "maxPages": 5,
  "maxSteps": 20,
  "maxDepth": 1,
  "sameDomainOnly": true,
  "captureScreenshots": true,
  "saveHtml": false,
  "generateReusableScript": false,
  "llmProvider": "none",
  "temperature": 0.2,
  "headless": true,
  "timeoutSeconds": 180,
  "waitUntil": "domcontentloaded"
}
```

# 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 = {
    "task": "Find the main product features on this website and summarize them.",
    "startUrls": [
        {
            "url": "https://example.com"
        }
    ],
    "extractionSchema": {}
};

// Run the Actor and wait for it to finish
const run = await client.actor("solutionssmart/ai-web-task-runner").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 = {
    "task": "Find the main product features on this website and summarize them.",
    "startUrls": [{ "url": "https://example.com" }],
    "extractionSchema": {},
}

# Run the Actor and wait for it to finish
run = client.actor("solutionssmart/ai-web-task-runner").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 '{
  "task": "Find the main product features on this website and summarize them.",
  "startUrls": [
    {
      "url": "https://example.com"
    }
  ],
  "extractionSchema": {}
}' |
apify call solutionssmart/ai-web-task-runner --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=solutionssmart/ai-web-task-runner",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "AI Web Task Runner",
        "description": "Run natural-language browser tasks with Playwright. Extract structured data, follow task-relevant links, capture screenshots, generate reports, and export reusable scripts.",
        "version": "1.0",
        "x-build-id": "2iXztBzRks7bK8alg"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/solutionssmart~ai-web-task-runner/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-solutionssmart-ai-web-task-runner",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/solutionssmart~ai-web-task-runner/runs": {
            "post": {
                "operationId": "runs-sync-solutionssmart-ai-web-task-runner",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/solutionssmart~ai-web-task-runner/run-sync": {
            "post": {
                "operationId": "run-sync-solutionssmart-ai-web-task-runner",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "task"
                ],
                "properties": {
                    "task": {
                        "title": "Task",
                        "type": "string",
                        "description": "Describe the browser task in natural language."
                    },
                    "startUrls": {
                        "title": "Start URLs",
                        "type": "array",
                        "description": "One or more public URLs where the task should begin.",
                        "items": {
                            "type": "object",
                            "required": [
                                "url"
                            ],
                            "properties": {
                                "url": {
                                    "type": "string",
                                    "title": "URL of a web page",
                                    "format": "uri"
                                }
                            }
                        }
                    },
                    "mode": {
                        "title": "Mode",
                        "enum": [
                            "run_task",
                            "extract",
                            "research",
                            "generate_script",
                            "audit_lead"
                        ],
                        "type": "string",
                        "description": "Choose how the Actor should execute the browser task.",
                        "default": "run_task"
                    },
                    "extractionSchema": {
                        "title": "Extraction Schema",
                        "type": "object",
                        "description": "Optional JSON schema for structured extraction."
                    },
                    "outputFormat": {
                        "title": "Output Format",
                        "enum": [
                            "auto",
                            "text",
                            "table",
                            "json",
                            "markdown"
                        ],
                        "type": "string",
                        "description": "Preferred final task result format.",
                        "default": "auto"
                    },
                    "maxPages": {
                        "title": "Max Pages",
                        "minimum": 1,
                        "type": "integer",
                        "description": "Maximum number of pages to visit.",
                        "default": 5
                    },
                    "maxSteps": {
                        "title": "Max Steps",
                        "minimum": 1,
                        "type": "integer",
                        "description": "Maximum number of safe browser actions to execute.",
                        "default": 20
                    },
                    "maxDepth": {
                        "title": "Max Depth",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum link depth from the start URLs.",
                        "default": 1
                    },
                    "sameDomainOnly": {
                        "title": "Same Domain Only",
                        "type": "boolean",
                        "description": "If enabled, only follow links within the same registered domain.",
                        "default": true
                    },
                    "captureScreenshots": {
                        "title": "Capture Screenshots",
                        "type": "boolean",
                        "description": "Save screenshots of visited pages.",
                        "default": true
                    },
                    "saveHtml": {
                        "title": "Save HTML",
                        "type": "boolean",
                        "description": "Save raw HTML for visited pages.",
                        "default": false
                    },
                    "generateReusableScript": {
                        "title": "Generate Reusable Script",
                        "type": "boolean",
                        "description": "Generate a standalone Playwright Python script from the successful task trajectory.",
                        "default": false
                    },
                    "llmProvider": {
                        "title": "LLM Provider",
                        "enum": [
                            "none",
                            "openai",
                            "openrouter",
                            "anthropic"
                        ],
                        "type": "string",
                        "description": "Optional provider for action planning, extraction mapping, and summarization.",
                        "default": "none"
                    },
                    "llmApiKey": {
                        "title": "LLM API Key",
                        "type": "string",
                        "description": "Optional secret API key for the selected LLM provider."
                    },
                    "llmModel": {
                        "title": "LLM Model",
                        "type": "string",
                        "description": "Optional specific model identifier."
                    },
                    "temperature": {
                        "title": "Temperature",
                        "minimum": 0,
                        "maximum": 2,
                        "type": "number",
                        "description": "Controls response randomness for LLM-assisted mode.",
                        "default": 0.2
                    },
                    "proxyConfiguration": {
                        "title": "Proxy Configuration",
                        "type": "object",
                        "description": "Optional proxy settings."
                    },
                    "headless": {
                        "title": "Headless Browser",
                        "type": "boolean",
                        "description": "Run Playwright in headless mode.",
                        "default": true
                    },
                    "timeoutSeconds": {
                        "title": "Timeout Seconds",
                        "minimum": 30,
                        "type": "integer",
                        "description": "Maximum run time in seconds.",
                        "default": 180
                    },
                    "waitUntil": {
                        "title": "Wait Until",
                        "enum": [
                            "load",
                            "domcontentloaded",
                            "networkidle"
                        ],
                        "type": "string",
                        "description": "Playwright wait condition for navigations.",
                        "default": "domcontentloaded"
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```