# Reddit Comments Scraper (`igview-owner/reddit-comments-scraper`) Actor

Fast and reliable tool to search, extract, and download Reddit comments by keyword, subreddit, or author. No login required. Export to JSON/CSV.

- **URL**: https://apify.com/igview-owner/reddit-comments-scraper.md
- **Developed by:** [Sachin Kumar Yadav](https://apify.com/igview-owner) (community)
- **Categories:** Developer tools, Social media, Automation
- **Stats:** 13 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

## 💬 Reddit Comments Scraper - Extract Comments & Discussions

[![Apify](https://img.shields.io/badge/Apify-Actor-orange)](https://apify.com)
[![Reddit](https://img.shields.io/badge/Reddit-Supported-FF4500)](https://reddit.com)

**Extract Reddit comments from subreddit streams with rich metadata, pagination, and advanced filtering. Perfect for sentiment analysis, market research, and content monitoring!**

### 📋 Table of Contents

- [🚀 Features](#-features)
- [🎯 Use Cases](#-use-cases)
- [⚡ Quick Start](#-quick-start)
- [📊 Input Parameters](#-input-parameters)
- [📤 Output Format](#-output-format)
- [🔧 Configuration](#-configuration)
- [📈 Performance](#-performance)
- [❓ FAQ](#-faq)
- [🛠️ Troubleshooting](#️-troubleshooting)
- [📞 Support](#-support)

### 🚀 Features

#### 💬 **Comment Extraction Capabilities**
- ✅ **Subreddit Streams** - Scrape live comment feeds from any subreddit
- ✅ **Pagination Support** - Extract multiple pages with automatic cursor management
- ✅ **Batch Processing** - Efficient data extraction with structured output

#### 📊 **Rich Metadata Extraction**
- ✅ **Comment Details** - Author, content, scores, timestamps, permalinks
- ✅ **Linked Post Information** - Linked post title, subreddit, post ID, and link details
- ✅ **User Data** - Author names, flair information, and user status
- ✅ **Engagement Metrics** - Upvotes, downvotes, comment scores, and rankings
- ✅ **Thread Structure** - Parent-child relationships and reply hierarchies

#### 🔄 **Advanced Features**
- ✅ **Real-time Scraping** - Get the latest comments as they're posted
- ✅ **Cursor Pagination** - Resume scraping from specific positions
- ✅ **Error Handling** - Robust retry logic and comprehensive error reporting
- ✅ **Rate Limiting** - Respectful API usage with built-in delays

### 🎯 Use Cases

| Use Case | Description | Benefits |
|----------|-------------|----------|
| 📈 **Sentiment Analysis** | Analyze public opinion on products, brands, or topics | Track brand sentiment, identify trends, measure public reaction |
|  **Market Research** | Monitor discussions about competitors and industry trends | Competitive intelligence, product feedback, market insights |
|  **Content Monitoring** | Track mentions and discussions across subreddits | Brand monitoring, crisis management, engagement tracking |
|  **Academic Research** | Collect data for social media and communication studies | Large-scale data collection, discourse analysis, behavioral studies |
| 🤖 **AI Training Data** | Gather conversational data for chatbots and NLP models | Training datasets, conversation patterns, language modeling |
| 📊 **Social Listening** | Monitor community discussions and emerging topics | Trend identification, community insights, viral content tracking |

### ⚡ Quick Start

#### 1️⃣ **Scrape Subreddit Comment Stream**
```json
{
  "subreddit": "technology",
  "maxPages": 5
}
````

#### 2️⃣ **Advanced Pagination**

```json
{
  "subreddit": "AskReddit",
  "maxPages": 10
}
```

### 📊 Input Parameters

| Parameter | Type | Required | Description | Example |
|-----------|------|----------|-------------|---------|
| `subreddit` | String | ✅ | Subreddit name (without r/) | `"technology"`, `"AskReddit"`, `"gaming"` |
| `maxPages` | Integer | ❌ | Pages to scrape (1-50) | `5` (default: 1) |

#### 🏷️ **Popular Subreddits**

| Category | Subreddits | Description |
|----------|------------|-------------|
| 🎮 **Gaming** | gaming, pcmasterrace, nintendo | Gaming discussions and news |
| 💼 **Business** | entrepreneur, investing, stocks | Business and finance topics |
| 🔬 **Technology** | technology, programming, apple | Tech news and discussions |
| 🎭 **Entertainment** | movies, television, music | Entertainment content |
| 📰 **News** | worldnews, news, politics | Current events and politics |
| 🎨 **Creative** | art, photography, design | Creative content and feedback |

### 📤 Output Format

#### 💬 **Comment Data Structure**

```json
{
  "type": "comments_batch",
  "comments": [
    {
      "comment_id": "abc123",
      "author": "username",
      "content": "This is a comment...",
      "score": 42,
      "created_utc": 1640995200,
      "depth": 0,
      "parent_id": null,
      "subreddit": "funny",
      "post_title": "Amazing post title",
      "post_id": "xyz789",
      "permalink": "/r/funny/comments/xyz789/title/abc123/"
    }
  ],
  "batch_number": 1,
  "total_batches": 3
}
```

#### � **Summary Data Structure**

```json
{
  "type": "scraping_summary",
  "mode": "subreddit_comments",
  "subreddit": "technology",
  "total_comments_scraped": 250,
  "total_requests_made": 5,
  "pages_scraped": 5,
  "completed_at": "2024-01-01T12:00:00.000Z",
  "success": true
}
```

### 🔧 Configuration

#### 📄 **Pagination Settings**

| Pages | Comments | Use Case | Processing Time |
|-------|----------|----------|-----------------|
| 1-3 | 50-150 | Quick sampling | 1-2 minutes |
| 4-10 | 200-500 | Medium research | 3-5 minutes |
| 11-25 | 500-1250 | Large datasets | 8-15 minutes |
| 26-50 | 1250-2500 | Comprehensive analysis | 15-30 minutes |

#### 🎯 **Scraping Modes**

| Mode | Description | Best For |
|------|-------------|----------|
| **Subreddit Stream** | Extract live comments from a subreddit | Community monitoring, trend tracking |

### 📈 Performance

#### ⚡ **Speed Metrics**

- **Processing Time**: ~1-2 seconds per page
- **Comments per Page**: 25-50 comments typically
- **API Response**: Sub-second response times
- **Batch Processing**: Efficient data chunking

#### 🔄 **Reliability Features**

- **Automatic Retry Logic** - Handles temporary API failures
- **Rate Limiting** - Respectful 1-second delays between requests
- **Error Recovery** - Continues processing despite individual failures
- **Cursor Management** - Automatic pagination handling

#### 📊 **Data Quality**

- **Complete Metadata** - All available comment fields extracted
- **Nested Structure** - Preserves reply hierarchies and thread depth
- **Timestamp Accuracy** - UTC timestamps for precise timing
- **Content Integrity** - Raw comment text without modifications

### ❓ FAQ

#### **Q: What types of Reddit content can I scrape?**

**A:** You can scrape:

- Live comment streams from any public subreddit
- Comment metadata including scores, timestamps, and author info

#### **Q: How many comments can I extract?**

**A:** This depends on your configuration:

- **Subreddit Stream**: 25-50 comments per page, up to 50 pages (1250-2500 comments)

#### **Q: Does this work with private subreddits?**

**A:** No, this scraper only works with public subreddits and posts that are accessible without authentication.

#### **Q: How do I handle large datasets?**

**A:** The scraper automatically:

- Chunks data into manageable batches
- Provides pagination cursors for continuation
- Includes progress tracking and summaries

#### **Q: What about Reddit's rate limits?**

**A:** The scraper includes:

- Built-in 1-second delays between requests
- Automatic retry logic for failed requests
- Respectful API usage patterns

#### **Q: Can I resume interrupted scraping?**

**A:** Yes! Use the `startCursor` parameter with the cursor value from your previous run to continue where you left off.

### 🛠️ Troubleshooting

#### 🚨 **Common Issues**

| Issue | Cause | Solution |
|-------|-------|----------|
| "Subreddit not found" | Private/banned subreddit | Check subreddit exists and is public |
| "No comments found" | Empty subreddit / low activity | Verify content exists, try different subreddit |
| "Request timeout" | Network issues | Retry the scraping, check internet connection |

#### 🔍 **Debug Tips**

1. **Test URLs** - Verify Reddit URLs work in browser first
2. **Start Small** - Begin with 1-2 pages before scaling up
3. **Check Logs** - Review actor run logs for detailed error messages
4. **Validate Subreddits** - Ensure subreddit names are correct (no r/ prefix)

#### ⚠️ **Best Practices**

- Use reasonable page limits to avoid timeouts
- Monitor your Apify usage to stay within plan limits
- Respect Reddit's content policies and terms of service
- Consider data privacy when processing user-generated content

### 📞 Support

#### 🆘 **Need Help?**

- 📧 **Issues**: Report bugs and feature requests through Apify Console
- 💬 **Community**: Join Apify Discord for community support
- 📖 **Documentation**: Comprehensive guides in Apify Docs
- 🎯 **Best Practices**: Optimization tips for large-scale scraping

#### 🔗 **Related Actor**

- [Reddit User Data Scraper](https://apify.com/igview-owner/reddit-user-data-scraper)
- [Reddit Search Scraper](https://apify.com/igview-owner/reddit-search-scraper)
- [Reddit Post Viewer](https://apify.com/igview-owner/reddit-post-viewer)

***

### 🏷️ **Keywords & Tags**

`reddit scraper`, `reddit comments extractor`, `reddit api`, `comment scraping`, `subreddit scraper`, `reddit data extraction`, `social media scraping`, `reddit sentiment analysis`, `reddit monitoring`, `reddit research tool`, `reddit comment analysis`, `reddit thread scraper`, `reddit discussion extractor`, `reddit apify actor`, `reddit automation`, `reddit data mining`, `reddit content scraper`, `reddit post scraper`, `reddit comment harvester`, `reddit social listening`

***

**⭐ Star this actor if it helps you extract Reddit data efficiently!**

*Built with ❤️ using Apify Platform - Powerful Reddit data extraction made simple*

# Actor input Schema

## `searchQuery` (type: `string`):

🏷️ Search keyword or phrase to find in comment body (case-insensitive). Example: science, artificial intelligence, python programming

## `subreddit` (type: `string`):

🏷️ Filter by subreddit name (without r/). Example: AskReddit, funny, technology, worldnews

## `author` (type: `string`):

🏷️ Filter by Reddit username (without u/). Example: spez, AutoModerator

## `after` (type: `integer`):

⏰ Get comments made AFTER this many days ago. Example: Enter 30 to get comments from last 30 days.

## `before` (type: `integer`):

⏰ Get comments made BEFORE this many days ago. Example: Enter 1 to only get comments older than 1 day.

## `sort` (type: `string`):

📊 Sort results by creation time. 'desc' = newest first (default), 'asc' = oldest first

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

🔢 Total number of comments to fetch (1-1000). Results are fetched in batches of 100. More results = longer processing time.

## Actor input object example

```json
{
  "searchQuery": "quantum computing",
  "subreddit": "",
  "author": "",
  "sort": "desc",
  "maxResults": 100
}
```

# Actor output Schema

## `comments` (type: `string`):

View all comments with author, content, score, timestamp, subreddit, and permalink.

## `detailed` (type: `string`):

View all comment data including parent ID, link ID, subreddit ID, author flair, and batch number.

# 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 = {
    "searchQuery": "quantum computing",
    "subreddit": "",
    "author": "",
    "sort": "desc",
    "maxResults": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("igview-owner/reddit-comments-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 = {
    "searchQuery": "quantum computing",
    "subreddit": "",
    "author": "",
    "sort": "desc",
    "maxResults": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("igview-owner/reddit-comments-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 '{
  "searchQuery": "quantum computing",
  "subreddit": "",
  "author": "",
  "sort": "desc",
  "maxResults": 100
}' |
apify call igview-owner/reddit-comments-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Reddit Comments Scraper",
        "description": "Fast and reliable tool to search, extract, and download Reddit comments by keyword, subreddit, or author. No login required. Export to JSON/CSV.",
        "version": "1.0",
        "x-build-id": "4QCTN5JBUQKAthB18"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/igview-owner~reddit-comments-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-igview-owner-reddit-comments-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/igview-owner~reddit-comments-scraper/runs": {
            "post": {
                "operationId": "runs-sync-igview-owner-reddit-comments-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/igview-owner~reddit-comments-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-igview-owner-reddit-comments-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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",
                "properties": {
                    "searchQuery": {
                        "title": "🔍 Search Query",
                        "type": "string",
                        "description": "🏷️ Search keyword or phrase to find in comment body (case-insensitive). Example: science, artificial intelligence, python programming",
                        "default": "quantum computing"
                    },
                    "subreddit": {
                        "title": "📱 Subreddit Name",
                        "type": "string",
                        "description": "🏷️ Filter by subreddit name (without r/). Example: AskReddit, funny, technology, worldnews",
                        "default": ""
                    },
                    "author": {
                        "title": "👤 Author Username",
                        "type": "string",
                        "description": "🏷️ Filter by Reddit username (without u/). Example: spez, AutoModerator",
                        "default": ""
                    },
                    "after": {
                        "title": "📅 After (Days Ago)",
                        "minimum": 1,
                        "type": "integer",
                        "description": "⏰ Get comments made AFTER this many days ago. Example: Enter 30 to get comments from last 30 days."
                    },
                    "before": {
                        "title": "📅 Before (Days Ago)",
                        "minimum": 1,
                        "type": "integer",
                        "description": "⏰ Get comments made BEFORE this many days ago. Example: Enter 1 to only get comments older than 1 day."
                    },
                    "sort": {
                        "title": "🔄 Sort Order",
                        "enum": [
                            "desc",
                            "asc"
                        ],
                        "type": "string",
                        "description": "📊 Sort results by creation time. 'desc' = newest first (default), 'asc' = oldest first",
                        "default": "desc"
                    },
                    "maxResults": {
                        "title": "📊 Maximum Results",
                        "minimum": 1,
                        "maximum": 1000,
                        "type": "integer",
                        "description": "🔢 Total number of comments to fetch (1-1000). Results are fetched in batches of 100. More results = longer processing time.",
                        "default": 100
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```