# Apify Store Analyzer (`scraper_guru/apify-store-analyzer`) Actor
Analyze 10,000+ Apify Actors for competitive intelligence. Get pricing strategies, market opportunities, and $1M Challenge insights. Perfect for actor creators, researchers, and marketplace analysts.
- **URL**: https://apify.com/scraper\_guru/apify-store-analyzer.md
- **Developed by:** [LIAICHI MUSTAPHA](https://apify.com/scraper_guru) (community)
- **Categories:** Developer tools
- **Stats:** 25 total users, 4 monthly users, 100.0% runs succeeded, 3 bookmarks
- **User rating**: No ratings yet
## Pricing
from $1.00 / 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.
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
## 🔍 Apify Store Analyzer
#### *Unlock the Secrets of the Apify Marketplace*
**Analyze 10,000+ Apify Actors to discover pricing strategies, market opportunities, and $1M Challenge insights**
[](https://apify.com)
[](https://python.org)
[](LICENSE)
[🚀 Try It Now](https://console.apify.com/actors) • [📖 Documentation](https://docs.apify.com) • [💬 Community](https://discord.gg/apify)
---
### 🎯 What Does This Actor Do?
Transform the Apify marketplace into actionable intelligence with comprehensive analysis across:
| Feature | Description |
|---------|-------------|
| 📊 **Market Analysis** | Analyze 10,000+ actors across all categories |
| 💰 **Pricing Intelligence** | Understand pricing strategies (FREE, PAY_PER_EVENT, etc.) |
| 🏆 **Success Patterns** | Identify what makes actors successful |
| 🎯 **Challenge Insights** | Track $1M Challenge eligible actors |
| 📈 **Growth Tracking** | Monitor 7-day, 30-day, and 90-day user trends |
| 🔍 **Category Analysis** | Find underserved niches and opportunities |
---
### 🚀 Quick Start
#### 1️⃣ Choose Your Analysis Mode
```json
{
"mode": "byCategory",
"categories": ["AI", "AUTOMATION"],
"maxActors": 100,
"includeAnalytics": true
}
````
#### 2️⃣ Run & Get Results
Within minutes, you'll have:
- ✅ Complete actor metadata
- ✅ Comprehensive analytics report
- ✅ Actionable market insights
***
### 📊 Analysis Modes
#### 🌐 **All Actors Mode**
Analyze the entire Apify marketplace (10,000+ actors)
```json
{
"mode": "allActors",
"includeAnalytics": true
}
```
**Perfect for:** Market research, trend analysis, comprehensive reports
***
#### 📂 **By Category Mode**
Focus on specific categories like AI, AUTOMATION, ECOMMERCE
```json
{
"mode": "byCategory",
"categories": ["AI", "AUTOMATION", "DEVELOPER_TOOLS"],
"includeAnalytics": true
}
```
**Perfect for:** Category research, competition analysis, niche discovery
**Available Categories:**
- 🤖 AI
- ⚙️ AUTOMATION
- 🛒 ECOMMERCE
- 📱 SOCIAL\_MEDIA
- 🔍 SEO\_TOOLS
- 📧 LEAD\_GENERATION
- 📰 NEWS
- 💼 JOBS
- 🛠️ DEVELOPER\_TOOLS
- 🏠 REAL\_ESTATE
- 🌟 OPEN\_SOURCE
- 🤝 AGENTS
- 🔌 MCP\_SERVERS
***
#### 🏆 **Challenge Eligible Mode**
Find only actors eligible for the Apify $1M Challenge
```json
{
"mode": "challengeEligible",
"includeAnalytics": true
}
```
**Perfect for:** Challenge research, competitive intelligence, success patterns
***
#### ⭐ **Top Actors Mode**
Get the top 100 performing actors by user count
```json
{
"mode": "topActors",
"includeAnalytics": true
}
```
**Perfect for:** Benchmarking, best practices, success factors
***
### 🎛️ Advanced Filters
#### Filter by Performance
```json
{
"mode": "byCategory",
"categories": ["AI"],
"minTotalRuns": 10000,
"minTotalUsers": 500,
"includeAnalytics": true
}
```
#### Filter by Pricing Model
```json
{
"mode": "byCategory",
"categories": ["AUTOMATION"],
"pricingModels": ["FREE", "PAY_PER_EVENT"],
"includeAnalytics": true
}
```
#### Limit Results for Testing
```json
{
"mode": "byCategory",
"categories": ["AI"],
"maxActors": 50,
"includeAnalytics": true
}
```
***
### 📤 Output Data
#### Individual Actor Records
```json
{
"title": "Website Content Crawler",
"name": "website-content-crawler",
"username": "apify",
"stats": {
"totalRuns": 22149737,
"totalUsers": 88904,
"totalUsers7Days": 1900,
"totalUsers30Days": 4630,
"totalUsers90Days": 10193
},
"currentPricingInfo": {
"pricingModel": "FREE",
"pricePerUnitUsd": 0
},
"categories": ["AI", "DEVELOPER_TOOLS"],
"actorReviewRating": 4.45,
"actorReviewCount": 122,
"bookmarkCount": 2054,
"isWhiteListedForAgenticPayments": true
}
```
#### Analytics Report
```json
{
"_type": "ANALYTICS_REPORT",
"generated_at": "2025-11-30T15:30:00.000Z",
"total_actors_analyzed": 1054,
"analytics": {
"summary": {
"total_actors": 1054,
"total_runs": 145000000,
"total_users": 890000,
"avg_runs_per_actor": 137572.71,
"avg_users_per_actor": 8443.50,
"avg_rating": 4.31,
"challenge_eligible_count": 284,
"challenge_eligible_percentage": 26.95
},
"pricing_analysis": {
"distribution": {
"FREE": 412,
"PAY_PER_EVENT": 338,
"PRICE_PER_DATASET_ITEM": 214,
"FLAT_PRICE_PER_MONTH": 90
},
"stats_by_model": { ... }
},
"category_analysis": { ... },
"top_actors": {
"by_total_runs": [ ... ],
"by_total_users": [ ... ]
},
"insights": [
"FREE actors have 2.3x more users on average than PAY_PER_EVENT actors",
"Highest average users per actor: AI (12,450 users/actor)",
"26.95% of analyzed actors are eligible for the $1M Challenge"
]
}
}
```
***
### 💡 Use Cases
#### 🎨 For Actor Creators
| Question | How This Actor Helps |
|----------|---------------------|
| *"What pricing model should I use?"* | Compare FREE vs PAID success rates |
| *"Is my category saturated?"* | Analyze actor count vs avg users per category |
| *"What features are trending?"* | Track challenge-eligible actors and categories |
| *"How do I price competitively?"* | Benchmark against similar actors |
#### 👥 For Users
| Question | How This Actor Helps |
|----------|---------------------|
| *"What's the best actor for X?"* | Filter by category, sort by users/ratings |
| *"Are there alternatives to Y?"* | Find actors in same category |
| *"What's popular right now?"* | Track 7-day/30-day growth trends |
| *"Should I trust this actor?"* | Check ratings, user count, review count |
#### 📊 For Researchers
| Question | How This Actor Helps |
|----------|---------------------|
| *"What are marketplace trends?"* | Analyze pricing, categories, growth patterns |
| *"What makes actors successful?"* | Correlate ratings, users, runs, pricing |
| *"How has the market evolved?"* | Track challenge eligibility, new categories |
| *"What are market gaps?"* | Find low-competition, high-demand niches |
***
### 📈 Example Insights
#### Real Data from 10,000+ Actors:
```
🏆 Top Category: AI (1,054 actors)
💰 Most Common Pricing: PAY_PER_EVENT (32%)
⭐ Average Rating: 4.2/5
🎯 Challenge Eligible: 26%
📈 FREE actors have 2.3x more users than paid
🚀 Top performer: 48M runs, 88K users
```
***
### 🎬 Example Workflows
#### Research a New Actor Category
```json
{
"mode": "byCategory",
"categories": ["AI"],
"includeAnalytics": true
}
```
**Output:** Complete AI category analysis with:
- Actor count
- Pricing distribution
- Top performers
- Average success metrics
- Market saturation score
***
#### Find Challenge Opportunities
```json
{
"mode": "challengeEligible",
"minTotalUsers": 1000,
"includeAnalytics": true
}
```
**Output:** Successful challenge actors with:
- Pricing strategies
- User adoption patterns
- Common categories
- Success factors
***
#### Competitive Benchmarking
```json
{
"mode": "byCategory",
"categories": ["AUTOMATION"],
"pricingModels": ["PAY_PER_EVENT"],
"minTotalUsers": 500,
"includeAnalytics": true
}
```
**Output:** Competitive landscape showing:
- Similar actors
- Pricing strategies
- User counts
- Rating benchmarks
***
### 🛠️ Technical Details
#### Performance
- ⚡ Scrapes 100 actors per request
- 🚀 Handles 10,000+ actors in ~5-10 minutes
- 💾 0.3s delay between requests (API-friendly)
- 📊 Comprehensive analytics in real-time
#### Data Source
- Uses Algolia search API (Apify's public store index)
- Real-time marketplace data
- No authentication required
- Rate-limit compliant
#### Output Format
- JSON dataset (one item per actor)
- CSV export available
- Excel export available
- API accessible
***
### 🤝 Contributing
Found a bug? Have a feature request? Want to improve the analytics?
1. 🐛 [Report bugs](https://github.com/yourusername/apify-store-analyzer/issues)
2. 💡 [Request features](https://github.com/yourusername/apify-store-analyzer/issues)
3. 🔧 [Submit pull requests](https://github.com/yourusername/apify-store-analyzer/pulls)
***
### 📚 Resources
- 🏪 [Apify Store](https://apify.com/store)
- 🏆 [$1M Challenge](https://apify.com/challenges)
- 📖 [Apify Documentation](https://docs.apify.com)
- 💬 [Apify Discord](https://discord.gg/apify)
- 🎓 [Actor Development Guide](https://docs.apify.com/actors)
***
### 📊 Real-World Examples
#### Blog Post: *"I Analyzed 10,000 Apify Actors - Here's What I Found"*
Use this actor to:
1. Scrape all actors
2. Export analytics report
3. Create visualizations
4. Publish insights
#### Product: *"Actor Market Intelligence Dashboard"*
Use this actor to:
1. Track category trends
2. Monitor competitor growth
3. Identify market gaps
4. Build pricing strategies
#### Research: *"The Economics of the Apify Marketplace"*
Use this actor to:
1. Analyze pricing models
2. Study success factors
3. Track market evolution
4. Publish academic paper
***
### 🎯 Why This Actor?
#### ✅ Complete
- Every data field from Apify Store
- 10,000+ actors analyzed
- Comprehensive analytics
#### ✅ Fast
- Parallel processing
- Efficient API usage
- Real-time results
#### ✅ Flexible
- Multiple analysis modes
- Advanced filtering
- Custom parameters
#### ✅ Actionable
- Ready-to-use insights
- Export in any format
- API integration ready
***
### 💬 Questions?
**Need help?** Check out:
- 📖 [Documentation](https://docs.apify.com)
- 💬 [Discord Community](https://discord.gg/apify)
- 🌐 [n8n Learning Hub](https://n8nlearninghub.com)
**Built with ❤️ by [MHL](https://github.com/MHL-io)**
[⭐ Star on GitHub](https://github.com/MHL-io/apify-store-analyzer) • [🐛 Report Bug](https://github.com/MHL-io/apify-store-analyzer/issues) • [💡 Request Feature](https://github.com/MHL-io/apify-store-analyzer/issues)
***
*"I used Apify to analyze Apify" - The ultimate meta project 🤯*
# Actor input Schema
## `mode` (type: `string`):
What do you want to analyze?
## `categories` (type: `array`):
Select one or more categories (leave empty for all)
## `minTotalRuns` (type: `integer`):
Only include actors with at least this many total runs
## `minTotalUsers` (type: `integer`):
Only include actors with at least this many total users
## `minOpportunityScore` (type: `integer`):
Only include niches/keywords with at least this rating (Filters out bad ideas)
## `pricingModels` (type: `array`):
Select pricing models to include
## `includeAnalytics` (type: `boolean`):
Include comprehensive analytics and insights
## `maxActors` (type: `integer`):
Limit number of actors to analyze (0 = no limit). Default: 50 for quick tests.
## Actor input object example
```json
{
"mode": "findNewIdeas",
"categories": [
"AI"
],
"minTotalRuns": 0,
"minTotalUsers": 0,
"minOpportunityScore": 0,
"includeAnalytics": true,
"maxActors": 50
}
```
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"categories": [
"AI"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("scraper_guru/apify-store-analyzer").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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "categories": ["AI"] }
# Run the Actor and wait for it to finish
run = client.actor("scraper_guru/apify-store-analyzer").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 '{
"categories": [
"AI"
]
}' |
apify call scraper_guru/apify-store-analyzer --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scraper_guru/apify-store-analyzer",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Apify Store Analyzer",
"description": "Analyze 10,000+ Apify Actors for competitive intelligence. Get pricing strategies, market opportunities, and $1M Challenge insights. Perfect for actor creators, researchers, and marketplace analysts.",
"version": "2.0",
"x-build-id": "6av5qK2gBXQyAh08V"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scraper_guru~apify-store-analyzer/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scraper_guru-apify-store-analyzer",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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/scraper_guru~apify-store-analyzer/runs": {
"post": {
"operationId": "runs-sync-scraper_guru-apify-store-analyzer",
"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/scraper_guru~apify-store-analyzer/run-sync": {
"post": {
"operationId": "run-sync-scraper_guru-apify-store-analyzer",
"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": [
"mode"
],
"properties": {
"mode": {
"title": "Analysis Mode",
"enum": [
"allActors",
"byCategory",
"challengeEligible",
"topActors",
"findNewIdeas"
],
"type": "string",
"description": "What do you want to analyze?",
"default": "findNewIdeas"
},
"categories": {
"title": "Categories to Analyze",
"uniqueItems": true,
"type": "array",
"description": "Select one or more categories (leave empty for all)",
"items": {
"type": "string",
"enum": [
"AI",
"AUTOMATION",
"ECOMMERCE",
"SOCIAL_MEDIA",
"SEO_TOOLS",
"LEAD_GENERATION",
"NEWS",
"JOBS",
"DEVELOPER_TOOLS",
"REAL_ESTATE",
"OPEN_SOURCE",
"AGENTS",
"MCP_SERVERS"
]
},
"default": [
"AI"
]
},
"minTotalRuns": {
"title": "Minimum Total Runs",
"minimum": 0,
"type": "integer",
"description": "Only include actors with at least this many total runs",
"default": 0
},
"minTotalUsers": {
"title": "Minimum Total Users",
"minimum": 0,
"type": "integer",
"description": "Only include actors with at least this many total users",
"default": 0
},
"minOpportunityScore": {
"title": "Minimum Opportunity Score",
"minimum": 0,
"type": "integer",
"description": "Only include niches/keywords with at least this rating (Filters out bad ideas)",
"default": 0
},
"pricingModels": {
"title": "Filter by Pricing Model",
"uniqueItems": true,
"type": "array",
"description": "Select pricing models to include",
"items": {
"type": "string",
"enum": [
"FREE",
"PAY_PER_EVENT",
"PRICE_PER_DATASET_ITEM",
"FLAT_PRICE_PER_MONTH"
]
}
},
"includeAnalytics": {
"title": "Generate Analytics Report",
"type": "boolean",
"description": "Include comprehensive analytics and insights",
"default": true
},
"maxActors": {
"title": "Maximum Actors",
"minimum": 0,
"maximum": 10000,
"type": "integer",
"description": "Limit number of actors to analyze (0 = no limit). Default: 50 for quick tests.",
"default": 50
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```