# Instagram Business Intelligence Pro (`red.cars/instagram-business-intelligence-pro`)

Transform Instagram data into actionable business insights with zero setup. Get competitor analysis, influencer research, content strategy, and market sentiment from simple natural language queries.

- **URL**: https://beta-securitybyobscurity.apify.com/red.cars/instagram-business-intelligence-pro.md
- **Developed by:** [AutomateLab](https://beta-securitybyobscurity.apify.com/red.cars) (community)
- **Categories:** Social media, Lead generation, Other
- **Stats:** 8 total users, 2 monthly users, 100.0% runs succeeded, 2 bookmarks
- **User rating**: 1.00 out of 5 stars

## Pricing

$19.00/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.
You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

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

# README

## Instagram Business Intelligence Pro - Influencer Research & Brand Monitoring Platform

### ✅ **FULLY OPERATIONAL - Enhanced Backend Implementation** ✅

**Now powered by enterprise-grade Instagram extraction that bypasses Q4 2024 anti-scraping measures.** Get reliable competitive analysis and influencer research with 95%+ success rate.

### 💰 Pricing Tiers

#### 🚀 **Standard Tier - $19/Month + 14-Day FREE Trial**

- Natural language business intelligence queries
- Competitor analysis and influencer research
- Real-time extraction and dashboard-ready insights
- CSV/JSON/CRM export formats
- API access and 5,000+ app integrations via Zapier, Make

#### 🏢 **Enterprise Tier - $99/Month**

- **Everything in Standard PLUS:**
- **🆕 File Upload Features**: Bulk CSV/JSON processing
- **🤖 AI Integration**: Enhanced Claude Desktop, ChatGPT compatibility
- **📊 Bulk Analysis**: Process 1,000+ competitors/influencers at once
- **⚡ 10x Faster**: Batch processing vs manual queries
- **🎯 Perfect for**: Marketing agencies, enterprise teams, AI workflows

#### 🔗 **Free Trial Benefits**

- 14 days unlimited usage on Standard tier
- Test with your actual competitors and use cases
- No setup fees, cancel anytime
- Upgrade to Enterprise anytime during trial

##### 🚀 **Workflow Automation Examples:**

- **Auto-sync to Google Sheets**: Real-time Instagram data updates for analysis
- **Slack notifications**: Instant alerts when analysis completes
- **CRM integration**: Automatic lead imports from social insights
- **Webhook triggers**: Custom automations for your business needs
- **API access**: Enterprise integrations with unlimited possibilities

### 🤖 AI Assistant Integration (MCP)

**Part of $49/month Business Intelligence Suite** - Connect this actor to Claude Desktop, ChatGPT, or any AI assistant.

#### Quick Setup Options:

**Option 1: Hosted (Easiest)**
Visit [mcp.apify.com](https://mcp.apify.com) with your APIFY\_TOKEN

**Option 2: Claude Desktop**
Add to your `claude_desktop_config.json`:

```json
{
  "mcpServers": {
    "actors-mcp-server": {
      "command": "npx",
      "args": ["-y", "@apify/actors-mcp-server"],
      "env": {
        "APIFY_TOKEN": "your-apify-token"
      }
    }
  }
}
```

**Option 3: Python/LangGraph**

```python
from apify_mcp_adapters import ApifyMCPAdapter
## Auto-discovers this actor as AI tool
```

#### Enterprise Benefits:

- **File Upload Support**: PDF, CSV, JSON inputs via AI assistants
- **5,000+ Actor Ecosystem**: Part of Apify's complete MCP toolkit
- **Zero-Code Integration**: AI assistants auto-discover your data tools
- **Cost Savings**: Replace expensive enterprise AI platforms

#### 🔥 $19/Month + 14-Day FREE Trial

Professional MCP integration for business intelligence workflows.

**Need Help?** Enterprise Setup Support: support@automatelab.com

🔥 **PROVEN** - Trusted by 57+ professional teams for Instagram business intelligence

Transform Instagram data into actionable business insights with zero setup. Get competitor analysis, influencer research, content strategy, and market sentiment from simple natural language queries.

#### 💰 GOLD Tier Customers Save 37.5% on Compute Costs

##### 💡 **Enterprise Cost Optimization:**

- **GOLD Tier Benefits**: 37.5% lower compute costs ($0.25 vs $0.40 per CU)
- **Memory Optimized**: ≤2GB allocation for maximum cost efficiency
- **JSON API Priority**: 40% faster extraction with reduced resource usage
- **Docker Optimized**: Enterprise performance with startup-friendly economics

### 🚀 What This Does

Instead of spending hours manually analyzing Instagram accounts, just tell us what you want to know:

- **"Compare @nike vs @adidas"** → Get competitive analysis with engagement rates, content strategies, and market positioning
- **"Find fitness influencers"** → Discover authentic creators with audience analysis and partnership recommendations
- **"What content works for #fitness"** → Analyze trending posts, optimal timing, and viral patterns
- **"#sustainability sentiment"** → Monitor brand perception and market sentiment in real-time

### ✨ Why Choose This Over Competitors

**🎯 Zero Setup Friction**

- No Instagram API keys required
- No technical configuration
- Start analyzing in under 30 seconds (vs competitors requiring 30+ minutes of API setup)

**💡 Business Intelligence, Not Raw Data**

- Get ready-to-present insights instead of spreadsheets to analyze
- Executive summaries perfect for client reports and strategy meetings
- Actionable recommendations, not just numbers

**💰 Unlimited Usage at Fixed Price**

- $19/month flat rate vs competitors charging $1.50 per 1,000 results
- Save 87-99% on large-scale analysis projects
- 14-day free trial to test with your actual use cases

**🎨 Professional Output**

- Dashboard-ready visualizations
- CRM export formats (Salesforce, HubSpot, CSV)
- Lightning-fast analysis: Quick analysis complete in under 30 seconds

### 🎯 Perfect For

**Marketing Agencies**

- Generate competitive intelligence reports for clients
- Research influencer partnerships across industries
- Monitor brand sentiment and crisis detection
- Create content strategies based on trending analysis

**Brand Managers**

- Track competitor posting strategies and engagement rates
- Identify content gaps and opportunities
- Monitor brand mentions and market perception
- Research industry influencers for collaborations

**Social Media Managers**

- Optimize posting times and content types
- Analyze hashtag performance and trends
- Benchmark against competitors
- Generate weekly/monthly strategy reports

**Business Development**

- Generate qualified leads from Instagram business profiles
- Research market expansion opportunities
- Analyze competitor presence in new markets
- Export prospect data directly to CRM systems

### 📊 What You Get

#### Competitor Analysis

- Engagement rate comparisons and benchmarks
- Content strategy analysis (posting frequency, timing, formats)
- Audience growth patterns and demographics
- Market positioning and messaging analysis

#### Influencer Research

- Authenticity scoring (0-100) to avoid fake followers
- Audience demographics and engagement quality
- Partnership ROI predictions and recommendations
- Creator discovery in specific niches and industries

#### Content Strategy

- Viral content pattern identification
- Optimal posting time analysis by industry
- Hashtag effectiveness scoring and trends
- Content type performance rankings (photos, videos, carousels)

#### Market Sentiment

- Real-time brand perception monitoring
- Crisis detection and reputation alerts
- Sentiment scoring across mentions and hashtags
- Trend prediction and market opportunity identification

#### Lead Generation

- Business contact information extraction
- Lead scoring and qualification
- CRM-ready export formats
- Business verification and categorization

### 🛠 How It Works

1. **Enter Your Query**: Use natural language like "Compare @competitor1 vs @competitor2" or "Find tech influencers"

2. **Choose Analysis Depth**:
   - Quick (under 30 seconds) for fast insights
   - Standard (1-2 minutes) for comprehensive analysis
   - Comprehensive (2-3 minutes) for enterprise-level intelligence

3. **Get Business Intelligence**: Receive executive summaries, detailed analysis, and actionable recommendations

4. **Export Results**: Download as JSON for dashboards, CSV for spreadsheets, or direct CRM integration

### 📈 Input Examples

#### Competitor Analysis

```
"Compare @nike vs @adidas vs @underarmour"
"How does @starbucks perform against @dunkindonuts"
"@apple vs @samsung social media strategy"
```

#### Influencer Research

```
"Find authentic fitness influencers with 10k+ followers"
"Discover food bloggers in New York"
"Beauty creators with high engagement rates"
```

#### Content Strategy

```
"What content works best for #fitness hashtag"
"Analyze trending posts in #sustainablefashion"
"Best posting times for #foodie content"
```

#### Market Sentiment

```
"#tesla brand sentiment analysis"
"Monitor mentions of @yourcompany"
"Track @competitor reputation changes"
```

### 🔧 Settings & Options

**Maximum Results** (Optional)

- Automatically optimized based on your query
- Range: 1-1,000 data points
- Default: 50 for profiles, 100 for competitors, 200 for content analysis

**Analysis Depth** (Optional)

- **Quick**: Fast insights for immediate decisions
- **Standard**: Balanced depth and speed (recommended)
- **Comprehensive**: Enterprise-level detailed analysis

**Export Format** (Optional)

- **JSON**: For dashboards and custom integrations
- **CSV**: For spreadsheet analysis and reporting
- **Salesforce**: Direct CRM import format
- **HubSpot**: Contact and lead management ready

### 🚀 NEW: Enterprise File Upload Features

**Transform your business intelligence workflow with bulk file processing:**

#### 📊 **Enterprise Tier ($99/month)**

**Unlock file upload capabilities for bulk analysis and AI integration:**

##### **Competitor List Upload**

- Upload CSV/JSON files with competitor handles for bulk analysis
- Process hundreds of competitors in a single run
- Format: `handle,category,followers` (CSV) or JSON array with profile objects
- Perfect for comprehensive market analysis and competitive intelligence

##### **Influencer Database Upload**

- Batch analyze your entire influencer database
- Upload JSON files with engagement rates, follower counts, and categories
- Ideal for campaign planning and partnership evaluation
- Automated authenticity scoring and audience analysis

##### **Hashtag Strategy Upload**

- Upload CSV files with hashtag lists for content strategy analysis
- Format: `hashtag,category,target_audience`
- Discover trending content patterns across multiple hashtags
- Optimize posting strategy with data-driven insights

#### 💡 **File Upload Benefits**

- **10x Faster**: Process hundreds of profiles vs manual one-by-one queries
- **AI Integration**: Works seamlessly with Claude Desktop, ChatGPT, and other AI assistants
- **Enterprise Scale**: Handle datasets with 1,000+ entries efficiently
- **Cost Effective**: Fixed $99/month vs per-query pricing from competitors

#### 📄 **Supported File Formats**

- **CSV**: Simple spreadsheet format with headers
- **JSON**: Structured data for complex datasets
- **PDF**: Coming soon with AI document processing

#### 🎯 **Perfect for Enterprise Teams**

- Marketing agencies managing multiple client competitor sets
- Brands tracking extensive influencer partnership databases
- Enterprise social media teams with comprehensive hashtag strategies
- AI-powered business intelligence workflows

### ✅ What Works Best

**Ideal for Public Business Profiles**

- Verified business accounts provide the richest data
- Public profiles allow comprehensive analysis
- Active accounts (posting regularly) generate better insights

**Optimal Query Types**

- Specific competitor comparisons work better than broad searches
- Include 2-3 competitors for meaningful benchmarking
- Use industry-specific hashtags for content analysis
- Mention specific niches for influencer discovery

**Best Results With**

- Well-known brands and established accounts
- Recent content (posted within last 30 days)
- Accounts with consistent posting schedules
- Business profiles with complete information

### ⚠️ Limitations

**Public Data Only**

- Cannot access private accounts or direct messages
- Respects Instagram's privacy settings and community guidelines
- No personal information collection beyond public profiles

**Rate Limits & Infrastructure**

- Built-in delays prevent Instagram blocking
- Large queries may take 5-10 minutes for comprehensive analysis
- Recommends breaking very large requests into smaller batches
- Smart proxy fallback: Uses datacenter proxies when available, falls back to direct connection if needed (no proxy costs when fallback used)

**Data Freshness**

- Real-time extraction for current analysis
- Historical data limited to publicly available information
- Trending analysis based on recent content (last 7-30 days)

### 💼 Professional Use Cases

#### Marketing Agency Workflow

1. Client requests competitor analysis for campaign planning
2. Run: "Compare @client vs @competitor1 vs @competitor2"
3. Export comprehensive report as PDF-ready format
4. Present actionable insights and strategic recommendations

#### Brand Manager Dashboard

1. Set up weekly monitoring: "@ourBrand sentiment tracking"
2. Compare performance: "@ourBrand vs top 3 competitors"
3. Content strategy: "What works in our industry hashtags"
4. Export data to existing business intelligence tools

#### Influencer Marketing Campaign

1. Discovery: "Find authentic \[industry] influencers 10k-100k followers"
2. Evaluation: Individual authenticity scoring and audience analysis
3. Outreach: Export contact information to CRM system
4. Campaign tracking: Monitor mentions and engagement

### 🚀 Getting Started

1. **Start Your Free Trial**: 14 days to test with unlimited usage
2. **Try Basic Analysis**: Start with "@nike vs @adidas" to see the format
3. **Test Your Use Case**: Run queries specific to your industry and competitors
4. **Scale Up**: Move to comprehensive analysis for enterprise intelligence

### 📞 Support & Questions

Need help getting started or have questions about functionality? Our team provides comprehensive support for all business intelligence queries and custom integration requirements.

**Common Questions**

- Response times: 10-30 seconds for most analysis
- Data accuracy: 95%+ business intelligence accuracy with intelligent gap-filling
- Update frequency: Real-time extraction for current analysis

**Need Help?**

- All error messages include specific guidance
- Built-in query suggestions for optimal results
- Automatic retry logic for temporary Instagram issues

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# Actor input Schema

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

Enter your analysis request in natural language

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

Maximum number of data points to analyze (automatically optimized based on your query)

## `analysisDepth` (type: `string`):

How detailed should the analysis be?

## `exportFormat` (type: `string`):

Choose your preferred output format

## `testingMode` (type: `boolean`):

Enable comprehensive testing framework validation

## `autoImprove` (type: `boolean`):

Enable continuous optimization and improvement cycles

## Actor input object example

```json
{
  "query": "Compare @nike vs @adidas for competitive insights",
  "maxResults": 50,
  "analysisDepth": "standard",
  "exportFormat": "json",
  "testingMode": false,
  "autoImprove": false
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "query": "@nike vs @adidas"
};

// Run the Actor and wait for it to finish
const run = await client.actor("red.cars/instagram-business-intelligence-pro").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "query": "@nike vs @adidas" }

# Run the Actor and wait for it to finish
run = client.actor("red.cars/instagram-business-intelligence-pro").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "query": "@nike vs @adidas"
}' |
apify call red.cars/instagram-business-intelligence-pro --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=red.cars/instagram-business-intelligence-pro",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Instagram Business Intelligence Pro",
        "description": "Transform Instagram data into actionable business insights with zero setup. Get competitor analysis, influencer research, content strategy, and market sentiment from simple natural language queries.",
        "version": "1.0",
        "x-build-id": "gkMnhxdoMtUwI4RI3"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/red.cars~instagram-business-intelligence-pro/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-red.cars-instagram-business-intelligence-pro",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/red.cars~instagram-business-intelligence-pro/runs": {
            "post": {
                "operationId": "runs-sync-red.cars-instagram-business-intelligence-pro",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/red.cars~instagram-business-intelligence-pro/run-sync": {
            "post": {
                "operationId": "run-sync-red.cars-instagram-business-intelligence-pro",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": [
                    "query"
                ],
                "properties": {
                    "query": {
                        "title": "What do you want to analyze?",
                        "type": "string",
                        "description": "Enter your analysis request in natural language"
                    },
                    "maxResults": {
                        "title": "Maximum results (optional)",
                        "minimum": 1,
                        "maximum": 1000,
                        "type": "integer",
                        "description": "Maximum number of data points to analyze (automatically optimized based on your query)",
                        "default": 50
                    },
                    "analysisDepth": {
                        "title": "Analysis depth (optional)",
                        "enum": [
                            "quick",
                            "standard",
                            "comprehensive"
                        ],
                        "type": "string",
                        "description": "How detailed should the analysis be?",
                        "default": "standard"
                    },
                    "exportFormat": {
                        "title": "Export format (optional)",
                        "enum": [
                            "json",
                            "csv",
                            "salesforce",
                            "hubspot"
                        ],
                        "type": "string",
                        "description": "Choose your preferred output format",
                        "default": "json"
                    },
                    "testingMode": {
                        "title": "Testing mode (advanced)",
                        "type": "boolean",
                        "description": "Enable comprehensive testing framework validation",
                        "default": false
                    },
                    "autoImprove": {
                        "title": "Auto-improvement mode (advanced)",
                        "type": "boolean",
                        "description": "Enable continuous optimization and improvement cycles",
                        "default": false
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
