# Bilibili Comment Sentiment (`kjames2001/bilibili-comment-sentiment`) Actor

Scrape Bilibili videos and comments, then run AI-powered sentiment analysis. Get sentiment scores, topics, and audience insights for Chinese market research.

- **URL**: https://apify.com/kjames2001/bilibili-comment-sentiment.md
- **Developed by:** [James Huang](https://apify.com/kjames2001) (community)
- **Categories:** Social media, AI
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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

## 🧠 Bilibili Sentiment Analysis | B站评论分析 & Chinese Social Media Sentiment

[![Apify Actor](https://img.shields.io/badge/Apify-Actor-blue)](https://apify.com/store)
[![AI Sentiment](https://img.shields.io/badge/AI-Sentiment_Analysis-green)](https://apify.com/store)
[![Node.js 20](https://img.shields.io/badge/Node.js-20-green)](https://nodejs.org)
[![Pay Per Event](https://img.shields.io/badge/Pricing-Pay_per_Event-orange)](https://apify.com/pricing)

> Scrape **Bilibili** videos and comments, then run AI-powered **bilibili sentiment analysis** on the data. Get sentiment scores, topic extraction, emotion detection, and **chinese audience insights** from **B站评论分析**. The ultimate tool for **china market research sentiment** and **chinese social media sentiment** analysis on China's largest video platform — with both rule-based and GPT-4o-mini LLM modes.

### Features

- **Bilibili Comments Analysis** — Extract and analyze comments from videos matching your keywords
- **AI-Powered Sentiment** — Optional LLM-based analysis using OpenAI GPT-4o-mini for deep insights
- **Rule-Based Fallback** — Built-in Chinese sentiment lexicon with 70+ positive/negative words and negation detection
- **Sentiment Scoring** — Per-comment sentiment classification (positive/negative/neutral) with scores
- **Aggregate Analysis** — Per-video sentiment breakdown with percentages, overall sentiment, and sentiment score
- **Top Keywords** — Most frequently used positive and negative words across all comments
- **Topic Extraction** — When using LLM mode, extract discussion topics from each comment
- **Spam Detection** — LLM mode includes spam classification
- **Multi-Keyword** — Analyze multiple search keywords in a single run
- **No Browser Needed** — Direct API access, fast and efficient

### Use Cases

- **Brand Monitoring** — Track sentiment around your brand on B站 (Bilibili)
- **China Market Research** — Understand **chinese social media sentiment** for product launches
- **Audience Analysis** — Get **chinese audience insights** from real user comments
- **Content Evaluation** — Measure audience reception of videos and campaigns
- **Competitor Analysis** — Compare sentiment around competing brands or products
- **Trend Detection** — Identify emerging positive/negative sentiment shifts
- **Academic Research** — Study Chinese online discourse and social media patterns
- **Bilibili AI Analysis** — Leverage AI to process thousands of Chinese comments automatically
- **Crisis Monitoring** — Detect negative sentiment spikes around your brand in real-time

### Input Parameters

| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| `searchKeywords` | array | **Yes** | `["华为"]` | Keywords to search on Bilibili |
| `maxVideos` | int | No | `10` | Max videos to analyze per keyword (1-100) |
| `maxCommentsPerVideo` | int | No | `50` | Max comments to extract per video (1-500) |
| `analysisType` | select | No | `full` | `sentiment` (basic) or `full` (sentiment + topics + emotion + spam) |
| `openaiApiKey` | string | No | `""` | OpenAI API key for LLM analysis. If empty, uses rule-based analysis |
| `proxyConfiguration` | object | No | Apify proxy | Proxy config (residential recommended outside China) |

### Output Fields

#### Video Object with Sentiment

| Field | Type | Description |
|---|---|---|
| `bvid` | string | Bilibili video ID |
| `aid` | int | Bilibili video ID (AV format) |
| `title` | string | Video title |
| `author` | string | Creator name |
| `viewCount` | int | Total views |
| `likeCount` | int | Total likes |
| `replyCount` | int | Total comments |
| `publishDate` | string | ISO date string |
| `tags` | array | Video tags |
| `searchKeyword` | string | Keyword that matched this video |
| `sentimentSummary` | object | Aggregate sentiment analysis (see below) |
| `comments` | array | Analyzed comments (see below) |
| `scrapedAt` | string | ISO timestamp |

#### Sentiment Summary Object

| Field | Type | Description |
|---|---|---|
| `sentimentBreakdown.positive` | int | Count of positive comments |
| `sentimentBreakdown.negative` | int | Count of negative comments |
| `sentimentBreakdown.neutral` | int | Count of neutral comments |
| `sentimentBreakdown.positivePct` | int | Positive percentage |
| `sentimentBreakdown.negativePct` | int | Negative percentage |
| `sentimentBreakdown.neutralPct` | int | Neutral percentage |
| `overallSentiment` | string | Overall: positive, negative, or neutral |
| `sentimentScore` | float | Score from -1.0 to 1.0 |
| `topPositiveWords` | array | Top positive words with frequency |
| `topNegativeWords` | array | Top negative words with frequency |
| `totalCommentsAnalyzed` | int | Number of comments analyzed |

#### Comment Object with Analysis

| Field | Type | Description |
|---|---|---|
| `content` | string | Comment text (Chinese) |
| `author` | string | Commenter name |
| `likes` | int | Comment likes |
| `timestamp` | string | ISO date string |
| `sentimentAnalysis.sentiment` | string | positive / negative / neutral |
| `sentimentAnalysis.score` | float/int | Sentiment score |
| `sentimentAnalysis.positiveWords` | array | Positive words found (rule-based) |
| `sentimentAnalysis.negativeWords` | array | Negative words found (rule-based) |
| `sentimentAnalysis.topics` | array | Discussion topics (LLM mode only) |
| `sentimentAnalysis.emotion` | string | Detected emotion (LLM mode only) |
| `sentimentAnalysis.is_spam` | bool | Spam classification (LLM mode only) |

### Analysis Modes

#### Rule-Based (No API Key)
- Fast, free, no external dependencies
- Chinese sentiment lexicon with 70+ words
- Negation detection (不/没/别/无/非 prefixes)
- Positive/negative/neutral classification
- Word frequency aggregation

#### LLM-Powered (With OpenAI API Key)
- GPT-4o-mini for deep Chinese language understanding
- Topic extraction from each comment
- Emotion detection (joy, anger, surprise, etc.)
- Spam/ad detection
- More accurate sentiment scoring (-1.0 to 1.0)
- Better handling of sarcasm and context

### How It Works

1. **Input keywords** — Provide brand or topic keywords to search on Bilibili (e.g., "华为", "iPhone")
2. **Video scraping** — The actor searches Bilibili and fetches matching videos with metadata
3. **Comment extraction** — Comments are scraped from each video via Bilibili's reply API
4. **Sentiment analysis** — Each comment is classified as positive/negative/neutral using rule-based or LLM analysis
5. **Aggregation** — Per-video sentiment summaries with percentages, top keywords, and overall scores
6. **Structured JSON output** — Results saved to Apify dataset, ready for dashboards and reports

### Pricing

This Actor uses **pay-per-event** pricing:

| Event | Cost |
|---|---|
| Actor start (1GB RAM) | $0.01 |
| Video analyzed | $0.02 |
| Comment sentiment analyzed | $0.005 |

**Example**: 3 keywords × 10 videos × 50 comments = $0.01 + (30 × $0.02) + (1500 × $0.005) = **$8.16**

### Technical Details

This **bilibili sentiment analysis** tool combines scraping and AI analysis:
- Search: `api.bilibili.com/x/web-interface/search/type`
- Comments: `api.bilibili.com/x/v2/reply/main`
- Sentiment: Rule-based Chinese lexicon or OpenAI GPT-4o-mini API

No headless browser needed. Cookie-based access handled automatically. Residential proxies recommended outside China.

#### Runtime & SDK
- **Runtime:** Node.js 20
- **SDK:** Apify SDK v3 + Crawlee v3
- **AI:** OpenAI GPT-4o-mini (optional, for LLM mode)

### Why Use This vs Alternatives?

| Feature | This Actor | Chinese Brand Monitor | Bilibili Scraper (comments only) |
|---|---|---|---|
| Sentiment scoring | ✅ | ✅ (basic) | ❌ |
| Rule-based + LLM modes | ✅ | ❌ | ❌ |
| Per-comment analysis | ✅ | ❌ | ❌ |
| Emotion detection | ✅ | ❌ | ❌ |
| Topic extraction | ✅ | ❌ | ❌ |
| Spam detection | ✅ | ❌ | ❌ |
| Top keyword extraction | ✅ | ❌ | ❌ |
| Multi-keyword support | ✅ | ✅ | ❌ |
| Aggregate summaries | ✅ | ✅ | ❌ |
| Free rule-based mode | ✅ | ❌ | N/A |

### FAQ

<details>
<summary><b>Do I need an OpenAI API key?</b></summary>
No. If you leave the `openaiApiKey` field empty, the actor uses a built-in rule-based Chinese sentiment lexicon with 70+ words and negation detection. This is free and requires no external API. The LLM mode provides deeper analysis (topics, emotions, spam detection) but requires an OpenAI key.
</details>

<details>
<summary><b>What languages does the sentiment analysis support?</b></summary>
The actor is optimized for Chinese comments (中文评论). The rule-based lexicon covers Chinese sentiment words. The LLM mode (GPT-4o-mini) handles Chinese naturally, including sarcasm and context.
</details>

<details>
<summary><b>Can I analyze multiple brands at once?</b></summary>
Yes. Provide multiple keywords in the `searchKeywords` array. Each keyword is searched independently, and results include the `searchKeyword` field so you can group by brand.
</details>

<details>
<summary><b>Do I need a proxy?</b></summary>
If running from outside China, residential proxies are recommended to avoid IP-based rate limiting on Bilibili's API.
</details>

### Keywords

`bilibili sentiment analysis` · `b站评论分析` · `chinese social media sentiment` · `bilibili comment analysis` · `chinese audience insights` · `china market research sentiment` · `bilibili ai analysis` · `bilibili nlp` · `chinese sentiment analysis` · `bilibili brand monitoring` · `b站情感分析` · `bilibili opinion mining` · `chinese comment sentiment` · `bilibili emotion detection` · `bilibili topic extraction` · `chinese language sentiment` · `bilibili comment scraper` · `china social listening` · `bilibili sentiment api` · `chinese nlp sentiment` · `b站舆情` · `bilibili sentiment score` · `bilibili comment mining` · `chinese text sentiment analysis`

# Actor input Schema

## `searchKeywords` (type: `array`):

Keywords to search on Bilibili. e.g. ["华为", "iPhone"]
## `maxVideos` (type: `integer`):

Maximum videos to analyze per keyword.
## `maxCommentsPerVideo` (type: `integer`):

Maximum comments to extract and analyze per video.
## `analysisType` (type: `string`):

Type of AI analysis to perform.
## `openaiApiKey` (type: `string`):

OpenAI API key for LLM analysis. If not provided, uses rule-based sentiment analysis.
## `proxyConfiguration` (type: `object`):

Apify proxy configuration.

## Actor input object example

```json
{
  "searchKeywords": [
    "华为"
  ],
  "maxVideos": 10,
  "maxCommentsPerVideo": 50,
  "analysisType": "full",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
````

# 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 = {
    "searchKeywords": [
        "华为"
    ],
    "openaiApiKey": "",
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("kjames2001/bilibili-comment-sentiment").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 = {
    "searchKeywords": ["华为"],
    "openaiApiKey": "",
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("kjames2001/bilibili-comment-sentiment").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 '{
  "searchKeywords": [
    "华为"
  ],
  "openaiApiKey": "",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call kjames2001/bilibili-comment-sentiment --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=kjames2001/bilibili-comment-sentiment",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Bilibili Comment Sentiment",
        "description": "Scrape Bilibili videos and comments, then run AI-powered sentiment analysis. Get sentiment scores, topics, and audience insights for Chinese market research.",
        "version": "0.1",
        "x-build-id": "nBBxj4dcaK4HB8AkX"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/kjames2001~bilibili-comment-sentiment/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-kjames2001-bilibili-comment-sentiment",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/kjames2001~bilibili-comment-sentiment/runs": {
            "post": {
                "operationId": "runs-sync-kjames2001-bilibili-comment-sentiment",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/kjames2001~bilibili-comment-sentiment/run-sync": {
            "post": {
                "operationId": "run-sync-kjames2001-bilibili-comment-sentiment",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": [
                    "searchKeywords"
                ],
                "properties": {
                    "searchKeywords": {
                        "title": "Search Keywords",
                        "type": "array",
                        "description": "Keywords to search on Bilibili. e.g. [\"华为\", \"iPhone\"]",
                        "items": {
                            "type": "string"
                        }
                    },
                    "maxVideos": {
                        "title": "Max Videos per Keyword",
                        "minimum": 1,
                        "maximum": 100,
                        "type": "integer",
                        "description": "Maximum videos to analyze per keyword.",
                        "default": 10
                    },
                    "maxCommentsPerVideo": {
                        "title": "Max Comments per Video",
                        "minimum": 1,
                        "maximum": 500,
                        "type": "integer",
                        "description": "Maximum comments to extract and analyze per video.",
                        "default": 50
                    },
                    "analysisType": {
                        "title": "Analysis Type",
                        "enum": [
                            "sentiment",
                            "full"
                        ],
                        "type": "string",
                        "description": "Type of AI analysis to perform.",
                        "default": "full"
                    },
                    "openaiApiKey": {
                        "title": "OpenAI API Key (optional)",
                        "type": "string",
                        "description": "OpenAI API key for LLM analysis. If not provided, uses rule-based sentiment analysis."
                    },
                    "proxyConfiguration": {
                        "title": "Proxy Configuration",
                        "type": "object",
                        "description": "Apify proxy configuration."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```