# Reddit Comment Scraper (`api-empire/reddit-comment-scraper`) Actor

Automatically extract Reddit comments and replies using Reddit Comments Scraper. Collect comment text, usernames, scores, and timestamps to support sentiment tracking, brand monitoring, and community research.

- **URL**: https://apify.com/api-empire/reddit-comment-scraper.md
- **Developed by:** [API Empire](https://apify.com/api-empire) (community)
- **Categories:** Social media, Automation, Lead generation
- **Stats:** 3 total users, 1 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

If you’re looking for the best Reddit Comments Scraper, you’re in the right place. This guide explains how to scrape Reddit comments, export data, and use it for SEO, research, marketing, and automation—without technical complexity.

* * *

### 🔍 What does Reddit Comments Scraper do?

A Reddit Comments Scraper is a powerful tool designed to extract comments from Reddit posts and threads in a structured, downloadable format. It allows you to collect user discussions, replies, scores, timestamps, and authors from any public subreddit or post URL.

Unlike manual copy-paste or limited browser tools, a professional reddit comments scraper online automates the entire process at scale. Whether you’re a marketer, data analyst, or researcher, this tool helps you analyze conversations, discover user intent, and uncover trending topics.

From SEO keyword research to sentiment analysis, a modern reddit comment exporter provides clean datasets ready for further processing. It works seamlessly with Apify Reddit Scraper, APIs, and workflows like reddit scraper n8n, ensuring flexibility for both beginners and developers.

* * *

### 📊 What Reddit Comments Scraper can I extract?

With this best Reddit comments scraper, you can extract a wide range of valuable data points from Reddit threads and discussions.

#### 🗂️ Extractable Data Types

| Data Type | Description |
| --- | --- |
| 💬 Comment Text | Full body of Reddit comments and replies |
| 👤 Username | Author name of each comment |
| 🔗 Post URL | Source Reddit thread link |
| ⏱️ Timestamp | Comment creation date & time |
| 👍 Score | Upvotes/downvotes count |
| 🧵 Thread Depth | Parent/child comment structure |
| 🏷️ Subreddit Name | Origin subreddit |
| 🆔 Comment ID | Unique identifier for each comment |
| 🧠 Metadata | Awards, edited status, and flags |

This reddit comments scraper free solution outputs clean, structured datasets compatible with Excel, JSON, CSV, APIs, and automation tools.

It also supports reddit scraper python, reddit scraper GitHub projects, and reddit scraper API integrations—making it ideal for both technical and non-technical users.

* * *

#### ⭐ Key Features of Reddit Comments Scraper

Here’s why this reddit comments scraper app stands out from the rest 👇

#### 🔥 Core Features

*   🚀 High-speed scraping for thousands of Reddit comments  
      
    
*   🆓 Free Reddit scraper with scalable paid options  
      
    
*   🔌 Reddit scraper API for automation & integration  
      
    
*   🧩 Works with reddit scraper n8n workflows  
      
    
*   🧠 SEO-optimized output for NLP & keyword research  
      
    
*   🧪 Compatible with reddit scraper python  
      
    
*   📦 Clean JSON, CSV, and Excel exports  
      
    
*   🧵 Preserves nested comment structure  
      
    
*   🌐 Works as reddit comments scraper online  
      
    
*   🔒 Safe, compliant, and ethically designed  
      
    

Whether you’re using a reddit comment scraper chrome extension alternative or a full-scale API, this tool gives you enterprise-grade data extraction without complexity.

* * *

### 🛠️ How to use Reddit Comments Scraper

Using the Reddit Comments Scraper is simple—even if you’re a beginner 👇

#### 🪜 Step-by-Step Guide

1️⃣ Log in to Apify  
Create a free Apify account or sign in.

2️⃣ Select the Actor  
Search for “Reddit Comments Scraper” in the Apify Store.

3️⃣ Enter Input Data  
Paste Reddit post or subreddit URLs into the startUrls field.

4️⃣ Choose Options  
Set comment depth, sorting, limits, or filters.

5️⃣ Run the Actor  
Click Start and let the scraper extract comments automatically.

6️⃣ Download Results  
Export your data as JSON, CSV, or Excel.

This reddit comments scraper online works seamlessly with reddit scraper API, GitHub workflows, and automation tools.

* * *

### 🎯 Use Cases

The Reddit Comments Scraper supports a wide range of real-world applications:

#### 💼 Business & Marketing

*   Discover customer pain points  
      
    
*   Analyze brand sentiment  
      
    
*   Extract UGC for content strategy  
      
    

#### 📊 Data & Research

*   Academic research  
      
    
*   Social listening  
      
    
*   Trend analysis  
      
    

#### 🤖 Automation & Dev Work

*   Integrate with reddit scraper n8n  
      
    
*   Use via reddit scraper python  
      
    
*   Build tools from reddit scraper GitHub  
      
    

This makes it the best Reddit comments scraper for professionals.

* * *

### 💡 Why choose us?

Here’s what makes our Reddit Comments Scraper the right choice 👇

#### 🌟 Our Advantages

*   ✅ Built on Apify Reddit Scraper infrastructure  
      
    
*   🆓 Reddit comments scraper free tier available  
      
    
*   🔌 Powerful reddit scraper API  
      
    
*   🧩 Works with chrome extension alternatives  
      
    
*   📈 Designed for SEO & NLP optimization  
      
    
*   🔒 Ethical and compliant scraping  
      
    
*   🧠 Trusted by developers, marketers & researchers  
      
    

We focus on data quality, speed, and scalability—not shortcuts.

* * *

### 📈 How many results can you scrape with Reddit Comments Scraper?

The Reddit Comments Scraper is built for scalability. You can extract:

*   🔹 Hundreds of comments from a single post  
      
    
*   🔹 Thousands from large subreddit threads  
      
    
*   🔹 Millions with automation & scheduling  
      
    

#### 🚀 Performance Highlights

*   ⚡ Parallel processing for fast extraction  
      
    
*   📦 Handles large datasets without breaking  
      
    
*   🔁 Supports pagination & nested replies  
      
    
*   🧩 Integrates with reddit scraper python  
      
    
*   🔌 API-based scraping for unlimited workflows  
      
    

Whether you’re running a reddit comment exporter once or setting up a continuous reddit scraper API, the tool adapts to your needs effortlessly.

* * *

### ⚖️ Is it legal to scrape Reddit?

Scraping Reddit comments is generally legal when done responsibly.

#### ✅ Key Compliance Points

*   Only scrape publicly available data  
      
    
*   Respect Reddit’s Terms of Service  
      
    
*   Avoid scraping private or deleted content  
      
    
*   Use data ethically and transparently  
      
    

Our Reddit Comments Scraper is designed to support compliant, ethical usage, making it suitable for research, SEO, and analytics.

* * *

### 🧾 Input Parameters

#### 📌 Example Input JSON
```json
{
  "startUrls": [
    {
      "url": "https://www.reddit.com/r/ChatGPT/comments/1epeshq/these_are_all_ai/"
    }
  ],
  "maxComments": 50,
  "sortOrder": "hot",
  "replyLimit": 1,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
````

### 📤 Output Format

#### 📌 Example Output JSON

```json
{
  "https://www.reddit.com/r/ChatGPT/comments/1epeshq/these_are_all_ai/": [
    {
      "comment_id": "lhk1f7n",
      "post_id": "t3_1epeshq",
      "author": "AutoModerator",
      "permalink": "https://www.reddit.com/r/ChatGPT/comments/1epeshq/these_are_all_ai/lhk1f7n/",
      "upvotes": 1,
      "content_type": "text",
      "parent_id": "t3_1epeshq",
      "author_avatar": "",
      "userUrl": "https://www.reddit.com/user/AutoModerator/",
      "contentText": "Comment text here...",
      "created_time": "",
      "replies": []
    }
  ]
}
```

### ❓ FAQ – Reddit Comments Scraper

#### 🔹 Is this a free Reddit comments scraper?

Yes, a free tier is available with scalable options.

#### 🔹 Does it work as a reddit comments scraper online?

Absolutely—no installation required.

#### 🔹 Is there a reddit comment scraper chrome extension?

This tool is a more powerful alternative to extensions.

#### 🔹 Can developers use it with Python?

Yes, it supports reddit scraper python workflows.

#### 🔹 Does it integrate with Apify?

Yes, it’s built on Apify Reddit Scraper.

#### 🔹 Can I export comments?

Yes, it’s a full reddit comment exporter.

#### 🔹 Is this the best Reddit comments scraper?

For scalability, SEO, and automation—yes.

### ✅ Conclusion 🎯

The Reddit Comments Scraper is a powerful and reliable solution for extracting Reddit discussions at scale 🚀. Whether you’re gathering insights, analyzing user opinions, or exporting comment data for research and automation, this tool delivers speed, accuracy, and flexibility. With support for APIs, Python, and Apify, it’s the best Reddit comments scraper for modern data needs.

### What are other Reddit scraping tools?

If you want to scrape specific Reddit data, you can use any of the dedicated scrapers below for faster and more targeted results.

| Scraper Name | Scraper Name |
|---|---|
| [Reddit Api Scraper](https://apify.com/api-empire/reddit-api-scraper) | [Reddit Scraper](https://apify.com/api-empire/reddit-scraper) |
| [Reddit Email Scraper](https://apify.com/api-empire/reddit-email-scraper) | [Reddit Subreddit Members Scraper](https://apify.com/api-empire/reddit-subreddit-members-scraper) |
| [Reddit Lead Scraper](https://apify.com/api-empire/reddit-lead-scraper) | [Reddit Trends Scraper](https://apify.com/api-empire/reddit-trends-scraper) |
| [Reddit Phone Number Scraper](https://apify.com/api-empire/reddit-phone-number-scraper) | [Reddit User Profile Posts And Comments Scraper](https://apify.com/api-empire/reddit-user-profile-posts-and-comments-scraper) |
| [Reddit Posts Scraper](https://apify.com/api-empire/reddit-posts-scraper) |  |

# Actor input Schema

## `startUrls` (type: `array`):

📋 Paste one or more Reddit post URLs here. Each URL will be scraped for comments.

Example: https://www.reddit.com/r/subreddit/comments/post\_id/title/

## `maxComments` (type: `integer`):

⚙️ Set the maximum number of comments to extract from each Reddit post. Range: 1-10,000 comments.

## `replyLimit` (type: `integer`):

🌳 Control the depth of nested replies stored in the `replies` field. Set to 0 for unlimited depth. Note: All replies are still collected in the flattened output regardless of this setting.

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

🛡️ Configure proxy settings for reliable scraping. By default, no proxy is used. If Reddit blocks requests, the scraper will automatically fallback to datacenter proxy, then residential proxy with smart retries.

## Actor input object example

```json
{
  "startUrls": [
    "https://www.reddit.com/r/ChatGPT/comments/1epeshq/these_are_all_ai/"
  ],
  "maxComments": 100,
  "replyLimit": 2,
  "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 = {
    "startUrls": [
        "https://www.reddit.com/r/ChatGPT/comments/1epeshq/these_are_all_ai/"
    ],
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("api-empire/reddit-comment-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 = {
    "startUrls": ["https://www.reddit.com/r/ChatGPT/comments/1epeshq/these_are_all_ai/"],
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("api-empire/reddit-comment-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 '{
  "startUrls": [
    "https://www.reddit.com/r/ChatGPT/comments/1epeshq/these_are_all_ai/"
  ],
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call api-empire/reddit-comment-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Reddit Comment Scraper",
        "description": "Automatically extract Reddit comments and replies using Reddit Comments Scraper. Collect comment text, usernames, scores, and timestamps to support sentiment tracking, brand monitoring, and community research.",
        "version": "0.1",
        "x-build-id": "PqhiKYXym5TtiutGA"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/api-empire~reddit-comment-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-api-empire-reddit-comment-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/api-empire~reddit-comment-scraper/runs": {
            "post": {
                "operationId": "runs-sync-api-empire-reddit-comment-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/api-empire~reddit-comment-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-api-empire-reddit-comment-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": [
                    "startUrls"
                ],
                "properties": {
                    "startUrls": {
                        "title": "🔗 Reddit Post URLs",
                        "type": "array",
                        "description": "📋 Paste one or more Reddit post URLs here. Each URL will be scraped for comments.\n\nExample: https://www.reddit.com/r/subreddit/comments/post_id/title/",
                        "items": {
                            "type": "string"
                        }
                    },
                    "maxComments": {
                        "title": "🔢 Maximum Comments per URL",
                        "minimum": 1,
                        "maximum": 10000,
                        "type": "integer",
                        "description": "⚙️ Set the maximum number of comments to extract from each Reddit post. Range: 1-10,000 comments.",
                        "default": 100
                    },
                    "replyLimit": {
                        "title": "💬 Reply Limit per Comment",
                        "minimum": 0,
                        "maximum": 100,
                        "type": "integer",
                        "description": "🌳 Control the depth of nested replies stored in the `replies` field. Set to 0 for unlimited depth. Note: All replies are still collected in the flattened output regardless of this setting.",
                        "default": 2
                    },
                    "proxyConfiguration": {
                        "title": "🔒 Proxy Configuration",
                        "type": "object",
                        "description": "🛡️ Configure proxy settings for reliable scraping. By default, no proxy is used. If Reddit blocks requests, the scraper will automatically fallback to datacenter proxy, then residential proxy with smart 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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```