# Amazon B2b Email Scraper (`simpleapi/amazon-b2b-email-scraper`) Actor

🛒 Amazon B2B Email Scraper finds verified business emails and contacts from Amazon sellers, brands, and storefronts. 📧 Enrich and export to CSV/CRM. 🔎 Fast, accurate, privacy‑aware. 🚀 Perfect for B2B lead gen, supplier sourcing, and sales outreach.

- **URL**: https://apify.com/simpleapi/amazon-b2b-email-scraper.md
- **Developed by:** [SimpleAPI](https://apify.com/simpleapi) (community)
- **Categories:** Automation, Lead generation, Social media
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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

A amazon email scraper helps you quickly collect public email addresses from Amazon profiles in a structured and efficient way 📩. Whether you're using a amazon email scraper free, a amazon email scraper app, or an online tool, it simplifies outreach, partnerships, and contact discovery while saving valuable time and effort.

### 📩 What does Amazon Email Scraper do?

A Amazon email scraper is a powerful tool designed to collect publicly available email addresses from Amazon profiles at scale 🚀. It scans bios, business profiles, and contact sections to extract verified emails that creators, brands, and businesses intentionally share for communication.

With a amazon email scraper online free or advanced app-based solution, you can quickly build contact lists for outreach, partnerships, influencer marketing, and lead generation 💼. Instead of manually opening hundreds of profiles, this tool automates the process while keeping results structured and export-ready.

Whether you use a amazon email scraper free, a amazon email scraper app, or an Apify Amazon email scraper, the goal is simple: save time, improve accuracy, and scale your outreach efforts efficiently 📊.

* * *

### 📊 What Amazon Email Scraper can I extract?

A amazon email extractor scraper for Amazon gathers multiple data points from public profiles, not just emails. Below is a clear overview 👇

| 📌 Data Type | 📄 Description |
| --- | --- |
| Email Address | Public business or creator email from bio/contact |
| Username | Amazon handle of the profile |
| Profile Name | Display name shown on Amazon |
| Bio Text | Full bio description |
| Website URL | External links shared in bio |
| Category | Business/creator category |
| Follower Count | Total followers for context |
| Profile URL | Direct link to the profile |
| Verification Status | Verified or non-verified accounts |

Using tools like amazon email extractor online, you get clean, structured data ready for real-world use 📥.

* * *

#### ✨ Key Features of Amazon Email Scraper

An advanced amazon email finder scraper comes packed with features that make data extraction smooth and reliable:

*   ⚡ Fast bulk extraction from thousands of profiles  
    
*   📩 Accurate email detection from public bios  
    
*   🔍 Filter by keywords, followers, or categories  
    
*   🧾 Clean, structured output formats (JSON, CSV, Excel)  
    
*   🖥️ Works as amazon email scraper app or cloud-based tool  
    
*   🆓 Supports amazon email scraper free usage tiers  
    
*   🧩 Compatible with amazon email scraper python github workflows  
    
*   ☁️ Seamless integration with Apify Amazon email scraper  
    
*   🛡️ Focus on publicly available data only  
    

These features make it ideal for marketers, agencies, founders, and researchers who value speed and clarity 🔑.

* * *

### 🛠️ How to use Amazon Email Scraper

Using a amazon email scraper is simple—even for beginners 👌. Follow these steps:

#### 🔹 Step-by-Step Guide

1.  Log in to Apify – Create a free account or sign in.  
    
2.  Select the Actor – Search for Amazon Email Scraper in the Apify store.  
    
3.  Enter Input Data – Add Amazon profile URLs, usernames, hashtags, or search queries.  
    
4.  Choose Options – Set limits, filters, or email-only extraction.  
    
5.  Run the Actor – Start the process and let it collect emails automatically ⚙️.  
    
6.  Download Results – Export data in your preferred format 📂.  
    

Whether you prefer a amazon email scraper download, web-based tool, or Python workflow, the process remains smooth and user-friendly 🧭.

* * *

### 🎯 Use Cases

A amazon email scraper fits many real-world scenarios:

*   📢 Influencer outreach for brand collaborations  
    
*   💼 B2B lead generation for agencies and SaaS  
    
*   🛍️ E-commerce partnerships with creators  
    
*   📈 Growth marketing campaigns  
    
*   🎓 Academic and market research  
    
*   📰 Media & PR contact discovery  
    
*   🤝 Affiliate recruitment programs  
    

Tools like amazon email extractor help professionals connect with the right audience—faster and smarter 💡.

* * *

### ⭐ Why choose us?

Our amazon email scraper stands out for its balance of simplicity and performance 🏆:

*   ✅ Trusted by marketers, founders, and researchers  
    
*   ⚡ High-speed extraction with stable results  
    
*   📩 Clean, duplicate-free email output  
    
*   🧩 Works with amazon email scraper python github setups  
    
*   ☁️ Reliable cloud execution via Apify  
    
*   🆓 Flexible plans including free usage  
    
*   📞 Clear documentation and support  
    

If you're searching for a dependable amazon email scraper app that scales with your needs, this is built for you 🔥.

* * *

### 📈 How many results can you scrape with Amazon Email Scraper?

The number of results you can extract depends on your input, filters, and execution limits—but scalability is a major strength 💪.

A amazon email extractor online can handle:

*   🔹 Hundreds of profiles in small runs  
    
*   🔹 Thousands of profiles in bulk campaigns  
    
*   🔹 Large datasets using queues and pagination  
    

With cloud-based tools like Apify Amazon email scraper, performance remains stable even for large jobs 🌐. You can control limits per run, avoid duplicates, and segment results by category or follower count.

For developers, pairing the scraper with amazon email scraper python github workflows allows automation and scheduled extraction 🔁.

Whether you're running a quick amazon email scraper free task or a large-scale data collection project, the system adapts to your growth needs seamlessly 📊.

* * *

### ⚖️ Is it legal to scrape Amazon emails?

Scraping publicly available email addresses from Amazon profiles falls into a legal gray area and depends on how the data is used ⚠️.

Key considerations include:

*   📌 Only collect publicly displayed emails  
    
*   📌 Respect Amazon's terms and local regulations  
    
*   📌 Avoid spam or deceptive outreach  
    
*   📌 Use data for legitimate business or research purposes  
    

Tools like a amazon email finder scraper should be used responsibly, transparently, and ethically 🤝. Always consult legal guidance if unsure.

* * *

### 🔧 Input Parameters

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

### 📤 Output Format

#### 📄 Example Output (JSON)

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

### ❓ FAQ

#### 1. Is there a amazon email scraper free option?

Yes, many tools offer free usage with limits.

#### 2. Does it work as a amazon email scraper app?

Yes, it works via web and API-based setups.

#### 3. Can I use it with Python?

It integrates well with amazon email scraper python github workflows.

#### 4. Are emails verified?

Only publicly shared emails are collected.

#### 5. Can I scrape followers' emails?

Only if emails are publicly visible on profiles.

#### 6. Does amazon email scraper support bulk runs?

Yes, it's designed for bulk extraction.

#### 7. Is Apify Amazon email scraper reliable?

Yes, it's widely used for scalable data collection.

### 🚀 Conclusion

Using a amazon email scraper makes connecting with creators and businesses easier and more organized 🤝. From small campaigns to large-scale extraction, tools like Apify Amazon email scraper or amazon email extractor online support faster outreach, cleaner data, and scalable growth—helping you focus on building meaningful connections instead of manual searching.

***

✨ Ready to build smarter outreach with a Amazon email scraper? This tool gives you clarity, speed, and structure—exactly what modern growth needs.

# Actor input Schema

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

List of keywords to search for on Amazon (e.g., \['marketing', 'founder', 'business']). The actor will search Google for Amazon 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": "Amazon",
  "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("simpleapi/amazon-b2b-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("simpleapi/amazon-b2b-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 simpleapi/amazon-b2b-email-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=simpleapi/amazon-b2b-email-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Amazon B2b Email Scraper",
        "description": "🛒 Amazon B2B Email Scraper finds verified business emails and contacts from Amazon sellers, brands, and storefronts. 📧 Enrich and export to CSV/CRM. 🔎 Fast, accurate, privacy‑aware. 🚀 Perfect for B2B lead gen, supplier sourcing, and sales outreach.",
        "version": "0.1",
        "x-build-id": "lgqs2nut5ZEyfosjD"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/simpleapi~amazon-b2b-email-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-simpleapi-amazon-b2b-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/simpleapi~amazon-b2b-email-scraper/runs": {
            "post": {
                "operationId": "runs-sync-simpleapi-amazon-b2b-email-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/simpleapi~amazon-b2b-email-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-simpleapi-amazon-b2b-email-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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 Amazon (e.g., ['marketing', 'founder', 'business']). The actor will search Google for Amazon profiles/posts containing these keywords and extract email addresses.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "platform": {
                        "title": "Platform",
                        "enum": [
                            "Amazon"
                        ],
                        "type": "string",
                        "description": "Select platform.",
                        "default": "Amazon"
                    },
                    "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```