# Instagram Email Scraper (`scraperforge/instagram-email-scraper`) Actor

📧 Instagram Email Scraper finds verified emails from Instagram profiles, bios & linked sites. 🔍 Perfect for lead gen, influencer outreach & prospecting. ⚡ Fast, accurate, deduped results with bulk CSV export & smart filters. ✅ Grow your pipeline compliantly.

- **URL**: https://apify.com/scraperforge/instagram-email-scraper.md
- **Developed by:** [ScraperForge](https://apify.com/scraperforge) (community)
- **Categories:** Automation, Lead generation, Social media
- **Stats:** 5 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$19.99/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

## 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

### Instagram Email Scraper

The Instagram Email Scraper is a focused Instagram email extractor that searches for Instagram.com results on Google using your keywords, then pulls publicly visible email addresses from the result snippets and titles. It solves the tedious, manual task of finding contact emails by acting as an IG email scraper and Instagram email finder for outreach, partnerships, and research. Built for marketers, developers, data analysts, and researchers, it enables scalable prospecting and clean exports for repeatable workflows.

### What data / output can you get?

Below are the exact fields this Instagram email scraping tool saves to the Apify dataset.

| Field       | Description                                                                 | Example value |
| ---         | ---                                                                         | --- |
| network     | Social network label derived from the selected platform                     | Instagram.com |
| keyword     | The keyword used for the search (inferred from query)                       | marketing |
| title       | The Google result title for the Instagram page/post                         | Social Lift Marketing (@socialliftmarketing) |
| description | The Google result snippet/description text                                  | This is Tunbridge Wells Squash ... 07802 640882 socialliftmarketing@ outlook.com #SocialMediaMarketing ... |
| url         | Direct link to the Instagram post/profile found in Google results           | https://www.instagram.com/socialliftmarketing/ |
| email       | Extracted email address (regex-matched and normalized to lowercase)         | socialliftmarketing@outlook.com |

Notes:
- Results are saved to the Apify dataset so you can export to JSON, CSV, or Excel directly from the platform.
- Some descriptions may be empty when Google doesn’t provide a snippet. Only rows with a detected email are pushed.

### Key features

- 🔍 Bold keyword targeting with location and domain filters  
  Use keyword queries with optional location and email domain filters to extract emails that match exactly what you’re looking for. Great for focused campaigns with an Instagram lead scraper approach.

- 📧 Email-first extraction with validation via regex  
  Emails are matched with a robust regex and normalized; only results that contain an email are pushed to your dataset to keep outputs clean and relevant for an Instagram business email scraper workflow.

- 🧭 Smart pagination with stop conditions  
  The actor iterates Google pages until it reaches your maxEmails per keyword, with a safety stop after several empty pages to save time and credits.

- 🛡️ Reliable proxy strategy (Apify-native)  
  With the legacy engine, it starts on the GOOGLE_SERP proxy and automatically falls back to SHADER (datacenter) and then RESIDENTIAL proxies when needed, increasing reliability for stable IG email scraper runs.

- 🧹 Lightweight de-duplication and structured output  
  Duplicate SERP URLs on a page are skipped and results stream in real time to the dataset in a consistent schema, enabling fast exports for downstream systems.

- 🔐 No login required  
  No cookies or Instagram login are needed. This Instagram email scraping software works from public Google results pointing to Instagram pages.

- 👨‍💻 Developer-friendly on Apify  
  Run programmatically via the Apify platform and SDKs to automate schedules and pipelines in Python or through the API—ideal for building an Instagram email scraping tool into your stack.

- 💾 Easy exports for teams  
  Download data from the dataset in JSON, CSV, or Excel and plug into CRM, analytics, or enrichment workflows as an Instagram profile email finder.

### How to use Instagram Email Scraper - step by step

1) Sign up or log in to Apify  
2) Open the Instagram Email Scraper actor  
3) Add input data  
   - Provide keywords (required). Optionally add emailDomains (e.g., “@gmail.com”), a location string (e.g., “London”), maxEmails per keyword, engine, and proxyConfiguration.  
4) Configure key settings  
   - maxEmails limits results per keyword (default 20).  
   - emailDomains restricts results to specific domains.  
   - location adds a location term to the query.  
   - engine defaults to legacy; with this engine, the actor starts with the GOOGLE_SERP proxy for best results.  
5) Start the run  
   - The actor builds site:instagram.com queries and fetches Google SERPs with retry + proxy fallback.  
6) Monitor progress  
   - Emails stream to the dataset as they are found. Logs show collection counts and proxy fallbacks if any.  
7) Export results  
   - Open the Run dataset and export to JSON, CSV, or Excel for immediate use.

Pro tip: Automate runs with the Apify API or a Python workflow to schedule recurring searches (e.g., weekly Instagram B2B email extractor jobs for ongoing outreach).

### Use cases

| Use case name | Description |
| --- | --- |
| Influencer outreach for brands | Build targeted lists of creator/business emails by keyword and location to accelerate collaborations and partnerships. |
| B2B lead generation | Extract public contact emails related to your niche and feed them into CRMs for pipeline growth with an Instagram email extractor workflow. |
| PR and media sourcing | Find press or contact emails on relevant Instagram profiles to streamline PR outreach. |
| Local business prospecting | Combine keywords with a city/region to discover local businesses’ public emails for regional campaigns. |
| Agency campaign research | Aggregate emails from niche-specific Instagram pages to power campaigns and cold outreach at scale. |
| Academic/market research | Collect structured datasets of public contact emails and associated snippet metadata for analysis. |
| API-driven enrichment | Schedule runs and export to JSON/CSV to enrich internal systems or downstream automations. |

### Why choose Instagram Email Scraper?

Precision, automation, and reliability—purpose-built for extracting publicly shared emails from Instagram-related search results at scale.

- ✅ Accurate, email-only output thanks to regex matching and normalization
- ⚡ Scales per keyword with smart pagination and max limit controls
- 🔁 Robust proxy fallback (GOOGLE_SERP → datacenter → residential) for high success rates
- 👨‍💻 Developer-ready: run via Apify API or Python scripts for automation
- 🔒 No login required; only public data via Google results is used
- 💾 Dataset-native exports (JSON, CSV, Excel) for fast handoff to CRMs and analytics
- 🆚 Purpose-built actor vs. unstable browser extensions—production-grade reliability and structured outputs

In short: a focused Instagram email scraping tool that favors clean data, resilient infrastructure, and automation-ready workflows.

### Is it legal / ethical to use Instagram Email Scraper?

Yes—when done responsibly. This actor extracts emails that are publicly visible in Google search snippets of Instagram pages/posts. It does not log into Instagram or access private data.

Guidelines:
- Collect only publicly shared contact emails and respect platform terms
- Comply with applicable laws and regulations (e.g., GDPR, CCPA)
- Avoid spam and use contact information for legitimate purposes
- Do not attempt to access private profiles or non-public data
- Consult your legal team for edge cases or jurisdiction-specific requirements

### Input parameters & output format

#### Example input (JSON)
```json
{
  "keywords": ["marketing", "founder", "business"],
  "platform": "Instagram",
  "location": "London",
  "emailDomains": ["@gmail.com", "@outlook.com"],
  "maxEmails": 20,
  "engine": "legacy",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
````

Parameter reference:

- keywords (array)
  - Required: Yes
  - Default: none
  - Description: List of keywords to search for on Instagram. The actor searches Google for Instagram profiles/posts containing these keywords and extracts email addresses.
- platform (string; enum: "Instagram")
  - Required: No
  - Default: "Instagram"
  - Description: Select platform.
- location (string)
  - Required: No
  - Default: ""
  - Description: Optional. Add location to search query (e.g., "London", "New York"). Leave empty to search globally.
- emailDomains (array)
  - Required: No
  - Default: none
  - Description: Optional. Filter results to only include emails from specific domains (e.g., \["@gmail.com", "@outlook.com"]). Leave empty to collect all email domains.
- maxEmails (integer; 1–5000)
  - Required: No
  - Default: 20
  - Description: Maximum number of emails to collect per keyword.
- engine (string; enum: "legacy")
  - Required: No
  - Default: "legacy"
  - Description: Choose scraping engine. Note: In this version, the available value is "legacy".
- proxyConfiguration (object)
  - Required: No
  - Default: none (prefill uses { "useApifyProxy": false })
  - Description: Choose which proxies to use. If Google rejects/blocks, the actor can fall back to other Apify proxies. With the legacy engine, the actor starts with the GOOGLE\_SERP proxy for best results on Google.

#### Example output (JSON)

```json
{
  "network": "Instagram.com",
  "keyword": "marketing",
  "title": "Social Lift Marketing (@socialliftmarketing)",
  "description": "This is Tunbridge Wells Squash ... 07802 640882 socialliftmarketing@ outlook.com #SocialMediaMarketing # Marketing ...",
  "url": "https://www.instagram.com/socialliftmarketing/",
  "email": "socialliftmarketing@outlook.com"
}
```

Notes:

- Only rows with a detected email are pushed.
- description may be an empty string if Google doesn’t provide a snippet for that result.

### FAQ

#### Is there a free option to try it?

✅ Yes. You can start with Apify’s trial minutes to test the Instagram email scraping tool before scaling up your workload.

#### Do I need to log into Instagram to use it?

❌ No. The actor does not require login or cookies. It uses public Google search results pointing to Instagram.com pages.

#### Can I use it with Python or the Apify API?

✅ Yes. You can trigger runs and fetch datasets via the Apify API or integrate into Python workflows, making it a developer-friendly Instagram email scraping software.

#### How many results can it collect per run?

📈 You control this with maxEmails per keyword (default 20). The actor paginates through Google results and stops after a series of empty pages to conserve resources.

#### Can I filter emails by domain?

✅ Yes. Use the emailDomains parameter (e.g., \["@gmail.com", "@outlook.com"]) to include only matching domains in your results.

#### Which proxies does it use?

🛡️ With the legacy engine, the actor starts with the Apify GOOGLE\_SERP proxy and can fall back to SHADER (datacenter) and then RESIDENTIAL proxies for reliable access.

#### What data does it return?

📦 Each result includes network, keyword, title, description, url, and email. Outputs are streamed to the dataset for export in JSON, CSV, or Excel.

#### Does it verify emails beyond detection?

ℹ️ Emails are extracted via regex from SERP content. There is no external verification—results reflect publicly visible emails found in snippets/titles.

#### Is this an Instagram email extractor Chrome extension?

❌ No. It’s an Apify cloud actor—more reliable and scalable than a browser extension for an Instagram email extractor or IG email scraper workflow.

### Final thoughts

This Instagram Email Scraper is built to extract publicly shared emails from Instagram-related search results—fast, structured, and automation-ready. You’ll get clean email hits with contextual metadata, exportable in minutes for outreach, enrichment, and research. Ideal for marketers, sales teams, analysts, and developers, it combines domain filters, location targeting, and resilient proxy handling. Run it via the Apify UI or integrate with the API/Python to automate your Instagram email lookup pipeline. Start extracting smarter, scalable contact data for your next campaign.

# Actor input Schema

## `keywords` (type: `array`):

List of keywords to search for on Instagram (e.g., \['marketing', 'founder', 'business']). The actor will search Google for Instagram profiles/posts containing these keywords and extract email addresses.

## `platform` (type: `string`):

Select platform.

## `location` (type: `string`):

Optional: Add location to search query (e.g., 'London', 'New York'). Leave empty to search globally.

## `emailDomains` (type: `array`):

Optional: Filter results to only include emails from specific domains (e.g., \['@gmail.com', '@outlook.com']). Leave empty to collect all email domains.

## `maxEmails` (type: `integer`):

Maximum number of emails to collect per keyword (default: 20).

## `engine` (type: `string`):

Choose scraping engine. 🚀 Cost Effective (New): Uses residential proxies with async requests for faster, cheaper scraping. 🔧 Legacy: Uses GOOGLE\_SERP proxy with traditional selectors - more reliable but slower and more expensive.

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

Choose which proxies to use. By default, no proxy is used. If Google rejects or blocks the request, the actor will automatically fallback to datacenter proxy, then residential proxy with 3 retries.

## Actor input object example

```json
{
  "keywords": [
    "marketing"
  ],
  "platform": "Instagram",
  "location": "",
  "emailDomains": [
    "@gmail.com"
  ],
  "maxEmails": 20,
  "engine": "legacy",
  "proxyConfiguration": {
    "useApifyProxy": 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 = {
    "keywords": [
        "marketing"
    ],
    "emailDomains": [
        "@gmail.com"
    ],
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("scraperforge/instagram-email-scraper").call(input);

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

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

```

## Python example

```python
from apify_client import ApifyClient

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

# Prepare the Actor input
run_input = {
    "keywords": ["marketing"],
    "emailDomains": ["@gmail.com"],
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("scraperforge/instagram-email-scraper").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "keywords": [
    "marketing"
  ],
  "emailDomains": [
    "@gmail.com"
  ],
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call scraperforge/instagram-email-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Instagram Email Scraper",
        "description": "📧 Instagram Email Scraper finds verified emails from Instagram profiles, bios & linked sites. 🔍 Perfect for lead gen, influencer outreach & prospecting. ⚡ Fast, accurate, deduped results with bulk CSV export & smart filters. ✅ Grow your pipeline compliantly.",
        "version": "0.1",
        "x-build-id": "CFQ2nVzNnm3UT3Mt5"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/scraperforge~instagram-email-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-scraperforge-instagram-email-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/scraperforge~instagram-email-scraper/runs": {
            "post": {
                "operationId": "runs-sync-scraperforge-instagram-email-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/scraperforge~instagram-email-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-scraperforge-instagram-email-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "keywords"
                ],
                "properties": {
                    "keywords": {
                        "title": "Keywords",
                        "type": "array",
                        "description": "List of keywords to search for on Instagram (e.g., ['marketing', 'founder', 'business']). The actor will search Google for Instagram profiles/posts containing these keywords and extract email addresses.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "platform": {
                        "title": "Platform",
                        "enum": [
                            "Instagram"
                        ],
                        "type": "string",
                        "description": "Select platform.",
                        "default": "Instagram"
                    },
                    "location": {
                        "title": "Location Filter",
                        "type": "string",
                        "description": "Optional: Add location to search query (e.g., 'London', 'New York'). Leave empty to search globally.",
                        "default": ""
                    },
                    "emailDomains": {
                        "title": "Email Domains Filter",
                        "type": "array",
                        "description": "Optional: Filter results to only include emails from specific domains (e.g., ['@gmail.com', '@outlook.com']). Leave empty to collect all email domains.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "maxEmails": {
                        "title": "Maximum Emails per Keyword",
                        "minimum": 1,
                        "maximum": 5000,
                        "type": "integer",
                        "description": "Maximum number of emails to collect per keyword (default: 20).",
                        "default": 20
                    },
                    "engine": {
                        "title": "Engine",
                        "enum": [
                            "legacy"
                        ],
                        "type": "string",
                        "description": "Choose scraping engine. 🚀 Cost Effective (New): Uses residential proxies with async requests for faster, cheaper scraping. 🔧 Legacy: Uses GOOGLE_SERP proxy with traditional selectors - more reliable but slower and more expensive.",
                        "default": "legacy"
                    },
                    "proxyConfiguration": {
                        "title": "Proxy Configuration",
                        "type": "object",
                        "description": "Choose which proxies to use. By default, no proxy is used. If Google rejects or blocks the request, the actor will automatically fallback to datacenter proxy, then residential proxy with 3 retries."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```