# 微信视频号 / WeChat Channels API - 热搜、搜索、评论、用户数据 (`socialdatax/socialdatax-wechat-data-api`) Actor

社媒数据助手 SocialDataX 提供的只读微信视频号 / WeChat Channels data API，支持热搜 / hot list、视频搜索 / video search、视频详情 / video details、评论 / comments、评论回复 / comment replies、用户资料 / creator profiles 和用户视频列表 / creator videos。

- **URL**: https://apify.com/socialdatax/socialdatax-wechat-data-api.md
- **Developed by:** [SocialDataX](https://apify.com/socialdatax) (community)
- **Categories:** Social media, Videos, Developer tools
- **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.99 / 1,000 dataset items

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

## 微信视频号 / WeChat Channels API - 热搜、搜索、评论、用户数据

这是社媒数据助手 SocialDataX 的 Apify Actor 适配层，提供只读微信视频号 / WeChat Channels data API。

用户在 Apify 上运行时不需要配置 SocialDataX API Key。API Key 由 Actor owner 在 Apify secret / environment 中配置。

### 支持能力 / Operations

- 热搜 / hot list
- 视频搜索 / video search
- 视频详情 / video details
- 评论列表 / comments
- 评论回复 / comment replies
- 用户资料 / creator profile
- 用户视频列表 / creator videos

默认 operation 是 `search_videos`，默认关键词是 `露营`。

### 输入字段 / Input

| Operation | 必填字段 | 可选字段 | 说明 |
| --- | --- | --- | --- |
| `search_hot_list` | 无 | `max_items` | 获取微信视频号热榜数据，请求一次并按 `max_items` 限制写入 Dataset。 |
| `search_videos` | `keyword` | `sort_type`, `duration_range`, `page_token`, `max_items`, `auto_paginate` | 按关键词搜索视频号内容，默认自动翻页直到达到 `max_items`。 |
| `get_video_detail` | `url` 或 `encrypted_object_id` | 无 | 获取单条视频详情；只能二选一，不要两个都填。 |
| `get_video_comments` | `url` 或 `object_id + object_nonce_id` | `page_token`, `max_items`, `auto_paginate` | 获取一级评论列表；只能二选一，不要同时填视频链接和 ID 组合。 |
| `get_video_comment_replies` | `object_id`, `object_nonce_id`, `comment_id` | `page_token`, `max_items`, `auto_paginate` | 获取一级评论下的回复。先运行评论列表，从 Dataset 行里复制真实 ID。 |
| `get_user_info` | `user_id` | 无 | 获取微信视频号用户资料。`user_id` 应以 `@finder` 结尾。 |
| `list_user_videos` | `user_id` 或 `url` | `page_token`, `max_items`, `auto_paginate` | 获取用户发布视频列表。 |

#### 字段提示

- `keyword`: 仅用于 `search_videos`，默认示例是 `露营`。
- `url`: 推荐直接粘贴微信视频号视频链接或分享文案，适用于视频详情、评论列表和用户视频列表。
- `encrypted_object_id`: 从 `search_videos` 的 Dataset 行复制，用于 `get_video_detail`。
- `object_id` / `object_nonce_id`: 从 `get_video_detail` 或评论 Dataset 行复制，用于评论和评论回复。
- `comment_id`: 从 `get_video_comments` Dataset 行复制一级评论 ID。建议选择 `reply_count > 0` 的评论。
- `user_id`: 只填以 `@finder` 结尾的视频号用户 ID；不要填昵称、主页名称或 `@stranger` ID。
- `sort_type`: `all`、`time_descending`、`collect_count_descending`。
- `duration_range`: `all`、`under_5_min`、`between_5_and_20_min`、`over_20_min`。
- `max_items`: 默认 `50`，最大 `1000`。
- `auto_paginate`: 默认 `true`。每请求一页会计为 1 次 SocialDataX API request。

### 示例 / Examples

视频搜索：

```json
{
  "operation": "search_videos",
  "keyword": "露营",
  "sort_type": "all",
  "duration_range": "all",
  "page_token": "",
  "max_items": 50,
  "auto_paginate": true
}
````

热榜：

```json
{
  "operation": "search_hot_list",
  "max_items": 50
}
```

视频详情：

```json
{
  "operation": "get_video_detail",
  "url": "https://weixin.qq.com/sph/ANxgB9MB8i"
}
```

评论列表：

```json
{
  "operation": "get_video_comments",
  "url": "https://weixin.qq.com/sph/ANxgB9MB8i",
  "page_token": "",
  "max_items": 50,
  "auto_paginate": true
}
```

评论回复：

```json
{
  "operation": "get_video_comment_replies",
  "object_id": "14469096051103173201",
  "object_nonce_id": "4041472331870621547_0_39_0_0",
  "comment_id": "14608046980043114941",
  "page_token": "",
  "max_items": 50,
  "auto_paginate": true
}
```

用户资料：

```json
{
  "operation": "get_user_info",
  "user_id": "v2_060000231003b20faec8c5e58110c0dcc90cee33b0777dd2f17b0e35693b274a9dd455cde24f@finder"
}
```

用户视频列表：

```json
{
  "operation": "list_user_videos",
  "url": "https://weixin.qq.com/sph/ANxgB9MB8i",
  "page_token": "",
  "max_items": 50,
  "auto_paginate": true
}
```

### 输出 / Dataset

主要消费面是 Apify Dataset。列表类 operation 会把每个 item 写成一行，适合 JSON、CSV、Excel / XLSX、JSONL 导出。

行结构是扁平字段：

- `operation`, `item_index`
- `query_*`: 本次请求参数
- `page_*`: 页级分页和统计信息
- item 顶层字段，例如 `object_id`, `description`, `comment_id`, `like_count`
- `author_*`, `video_*`: 常见对象字段展开
- `topic_tags`, `images`: 数组字段保留 JSON 值

示例 Dataset row：

```json
{
  "operation": "get_video_comments",
  "item_index": 1,
  "query_object_id": "14469096051103173201",
  "query_object_nonce_id": "4041472331870621547_0_39_0_0",
  "comment_id": "14608046980043114941",
  "content": "这个路线不错",
  "author_user_id": "v2_...@finder",
  "author_name": "示例用户",
  "reply_count": 2,
  "page_next_page_token": ""
}
```

`OUTPUT` 只保留 run summary、请求页摘要、warning 或轻量错误信息，方便调试；完整结果请从 Dataset 读取。

### Apify API 调用

同步运行并直接取 Dataset items：

```bash
curl -X POST "https://api.apify.com/v2/acts/socialdatax~socialdatax-wechat-data-api/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "operation": "search_videos",
    "keyword": "露营",
    "max_items": 50,
    "auto_paginate": true
  }'
```

Python client：

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("socialdatax/socialdatax-wechat-data-api").call(run_input={
    "operation": "search_videos",
    "keyword": "露营",
    "max_items": 50,
    "auto_paginate": True,
})

items = list(client.dataset(run["defaultDatasetId"]).iterate_items())
print(items[:3])
```

### 计费 / Pricing

该 Actor 适合 Pay-per-event：按写入 Dataset 的 item 计费，建议事件为 `apify-default-dataset-item`。

Apify 免费计划用户可进行少量试用；持续使用需要 Apify paid plan。

### Operator setup

Actor owner 需要在 Apify Console 中配置 secret / environment：

- `SOCIALDATAX_API_KEY`
- 可选：`SOCIALDATAX_API_BASE_URL`

Apify 用户无需填写 SocialDataX API Key。

更多信息见 [SocialDataX 官网](https://socialdatax.com/)。

# Actor input Schema

## `operation` (type: `string`):

先选择要调用的微信视频号 / WeChat Channels 数据能力，然后只填写该 operation 需要的字段；无关字段会被忽略。持续使用需要 Apify paid plan；free plan 用户有 5 次 SocialDataX API request 试用额度。Choose the operation first, then fill only the fields used by that operation.

## `keyword` (type: `string`):

仅 operation=search\_videos 时必填；其它 operation 可留空。Search keyword for WeChat Channels video search.

## `sort_type` (type: `string`):

仅 operation=search\_videos 时使用。all=综合，time\_descending=最新优先，collect\_count\_descending=收藏数优先。

## `duration_range` (type: `string`):

仅 operation=search\_videos 时使用。all=全部，under\_5\_min=5 分钟以下，between\_5\_and\_20\_min=5-20 分钟，over\_20\_min=20 分钟以上。

## `url` (type: `string`):

operation=get\_video\_detail、get\_video\_comments、list\_user\_videos 时可使用。推荐直接粘贴微信视频号视频链接或分享文案。详情接口不要同时传 url 和 encrypted\_object\_id；评论接口不要同时传 url 和 object\_id + object\_nonce\_id。

## `encrypted_object_id` (type: `string`):

operation=get\_video\_detail 时可使用；从 search\_videos Dataset 行里的 encrypted\_object\_id 复制。不要和 url 同时填写。

## `object_id` (type: `string`):

operation=get\_video\_comments、get\_video\_comment\_replies 时使用；与同一条视频的 object\_nonce\_id 一起从 get\_video\_detail 或评论 Dataset 行中复制。评论回复不支持 url 或 encrypted\_object\_id。

## `object_nonce_id` (type: `string`):

operation=get\_video\_comments、get\_video\_comment\_replies 时使用；必须和同一条视频的 object\_id 配对原样传入。

## `comment_id` (type: `string`):

仅 operation=get\_video\_comment\_replies 时必填。先运行 get\_video\_comments，在 Dataset 里找到 reply\_count > 0 的一级评论行，复制该行的 comment\_id；不要填评论内容、昵称或回复项 ID。

## `user_id` (type: `string`):

operation=get\_user\_info、list\_user\_videos 时使用。只支持以 @finder 结尾的微信视频号用户 ID；可从视频详情、评论、评论回复或用户视频列表 Dataset 行里的 author\_user\_id / user\_id 复制。不要填昵称、主页名称或 @stranger ID。

## `page_token` (type: `string`):

搜索、评论、评论回复、用户视频列表继续翻页时传入上一页返回的完整 next\_page\_token；第一页留空。auto\_paginate=true 时通常不用手动填写。

## `max_items` (type: `integer`):

最多写入多少条 Dataset item。对搜索、评论、评论回复、用户视频列表用于限制自动翻页结果；对热搜用于限制本次导出的热搜条目数。较大的值可能触发多次 SocialDataX API request。

## `auto_paginate` (type: `boolean`):

开启后 Actor 会按 next\_page\_token 继续请求，直到达到 max\_items 或没有下一页。关闭时只请求当前 page\_token。每翻一页计 1 次 SocialDataX API request。When enabled, each page request counts as one SocialDataX API request.

## Actor input object example

```json
{
  "operation": "search_videos",
  "keyword": "露营",
  "sort_type": "all",
  "duration_range": "all",
  "max_items": 50,
  "auto_paginate": true
}
```

# Actor output Schema

## `dataset` (type: `string`):

Open flat result rows written to the default Apify Dataset. Export as JSON, CSV, Excel / XLSX, or JSONL.

## `keyValueStore` (type: `string`):

Open the default key-value store. The OUTPUT record contains operation, item count, request count, page-level response summaries, non-fatal warnings, and lightweight failure details when a run fails.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("socialdatax/socialdatax-wechat-data-api").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("socialdatax/socialdatax-wechat-data-api").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 '{}' |
apify call socialdatax/socialdatax-wechat-data-api --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "微信视频号 / WeChat Channels API - 热搜、搜索、评论、用户数据",
        "description": "社媒数据助手 SocialDataX 提供的只读微信视频号 / WeChat Channels data API，支持热搜 / hot list、视频搜索 / video search、视频详情 / video details、评论 / comments、评论回复 / comment replies、用户资料 / creator profiles 和用户视频列表 / creator videos。",
        "version": "0.1",
        "x-build-id": "o9fjoKw3M2DgGazZR"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/socialdatax~socialdatax-wechat-data-api/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-socialdatax-socialdatax-wechat-data-api",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/socialdatax~socialdatax-wechat-data-api/runs": {
            "post": {
                "operationId": "runs-sync-socialdatax-socialdatax-wechat-data-api",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/socialdatax~socialdatax-wechat-data-api/run-sync": {
            "post": {
                "operationId": "run-sync-socialdatax-socialdatax-wechat-data-api",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": [
                    "operation"
                ],
                "properties": {
                    "operation": {
                        "title": "操作 / Operation",
                        "enum": [
                            "search_hot_list",
                            "search_videos",
                            "get_video_detail",
                            "get_user_info",
                            "list_user_videos",
                            "get_video_comments",
                            "get_video_comment_replies"
                        ],
                        "type": "string",
                        "description": "先选择要调用的微信视频号 / WeChat Channels 数据能力，然后只填写该 operation 需要的字段；无关字段会被忽略。持续使用需要 Apify paid plan；free plan 用户有 5 次 SocialDataX API request 试用额度。Choose the operation first, then fill only the fields used by that operation.",
                        "default": "search_videos"
                    },
                    "keyword": {
                        "title": "关键词 / Keyword",
                        "type": "string",
                        "description": "仅 operation=search_videos 时必填；其它 operation 可留空。Search keyword for WeChat Channels video search.",
                        "default": "露营"
                    },
                    "sort_type": {
                        "title": "搜索排序 / Search sort",
                        "enum": [
                            "all",
                            "time_descending",
                            "collect_count_descending"
                        ],
                        "type": "string",
                        "description": "仅 operation=search_videos 时使用。all=综合，time_descending=最新优先，collect_count_descending=收藏数优先。",
                        "default": "all"
                    },
                    "duration_range": {
                        "title": "视频时长 / Duration",
                        "enum": [
                            "all",
                            "under_5_min",
                            "between_5_and_20_min",
                            "over_20_min"
                        ],
                        "type": "string",
                        "description": "仅 operation=search_videos 时使用。all=全部，under_5_min=5 分钟以下，between_5_and_20_min=5-20 分钟，over_20_min=20 分钟以上。",
                        "default": "all"
                    },
                    "url": {
                        "title": "视频链接 / Video URL",
                        "type": "string",
                        "description": "operation=get_video_detail、get_video_comments、list_user_videos 时可使用。推荐直接粘贴微信视频号视频链接或分享文案。详情接口不要同时传 url 和 encrypted_object_id；评论接口不要同时传 url 和 object_id + object_nonce_id。"
                    },
                    "encrypted_object_id": {
                        "title": "加密视频 ID / Encrypted object ID",
                        "type": "string",
                        "description": "operation=get_video_detail 时可使用；从 search_videos Dataset 行里的 encrypted_object_id 复制。不要和 url 同时填写。"
                    },
                    "object_id": {
                        "title": "视频 object_id / Object ID",
                        "type": "string",
                        "description": "operation=get_video_comments、get_video_comment_replies 时使用；与同一条视频的 object_nonce_id 一起从 get_video_detail 或评论 Dataset 行中复制。评论回复不支持 url 或 encrypted_object_id。"
                    },
                    "object_nonce_id": {
                        "title": "视频 object_nonce_id / Object nonce ID",
                        "type": "string",
                        "description": "operation=get_video_comments、get_video_comment_replies 时使用；必须和同一条视频的 object_id 配对原样传入。"
                    },
                    "comment_id": {
                        "title": "一级评论 ID / Comment ID",
                        "type": "string",
                        "description": "仅 operation=get_video_comment_replies 时必填。先运行 get_video_comments，在 Dataset 里找到 reply_count > 0 的一级评论行，复制该行的 comment_id；不要填评论内容、昵称或回复项 ID。"
                    },
                    "user_id": {
                        "title": "视频号用户 ID / User ID",
                        "type": "string",
                        "description": "operation=get_user_info、list_user_videos 时使用。只支持以 @finder 结尾的微信视频号用户 ID；可从视频详情、评论、评论回复或用户视频列表 Dataset 行里的 author_user_id / user_id 复制。不要填昵称、主页名称或 @stranger ID。"
                    },
                    "page_token": {
                        "title": "分页令牌 / Page token",
                        "type": "string",
                        "description": "搜索、评论、评论回复、用户视频列表继续翻页时传入上一页返回的完整 next_page_token；第一页留空。auto_paginate=true 时通常不用手动填写。"
                    },
                    "max_items": {
                        "title": "最大结果数 / Max items",
                        "minimum": 1,
                        "maximum": 1000,
                        "type": "integer",
                        "description": "最多写入多少条 Dataset item。对搜索、评论、评论回复、用户视频列表用于限制自动翻页结果；对热搜用于限制本次导出的热搜条目数。较大的值可能触发多次 SocialDataX API request。",
                        "default": 50
                    },
                    "auto_paginate": {
                        "title": "自动翻页 / Auto paginate",
                        "type": "boolean",
                        "description": "开启后 Actor 会按 next_page_token 继续请求，直到达到 max_items 或没有下一页。关闭时只请求当前 page_token。每翻一页计 1 次 SocialDataX API request。When enabled, each page request counts as one SocialDataX API request.",
                        "default": true
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```