A next-generation Roblox API integration toolkit with 2000+ functions and advanced security features
Latest update includes Bot Protection, Fraud Detection, GraphQL API, and extensive security improvements to keep your Roblox integrations safe and scalable.
Unified access to all major Roblox API endpoints with 2000+ functions covering every aspect of the platform.
High-performance data caching system minimizing API calls with configurable TTL and invalidation strategies.
Flexible data fetching with GraphQL allowing complex queries and efficient responses with exactly what you need.
Secure data transmission with industry-standard encryption protecting sensitive information end-to-end.
Advanced detection and prevention of automated attacks with behavior analysis and intelligent rate limiting.
AI-powered system detects suspicious transactions and user behavior to protect your game economy and players.
Real-time event notifications for platform events
Dynamic resource allocation based on demand
Multi-format data export (CSV, JSON, XML)
Seamless data transfer between games
Deep insights into player behavior
Discord, Twitter, and 3rd-party APIs
Live system performance metrics
Comprehensive in-game purchase handling
Data warehousing and visualization
Tools for content publishing and curation
Both programming paradigms supported
Windows, macOS, and Linux compatibility
# Using pip
pip install bloxapi
# Using poetry
poetry add bloxapi
# From source
git clone https://github.com/Bogdan11212/BloxAPI.git
cd BloxAPI
pip install -e .
from bloxapi import BloxAPI
# Initialize the client
api = BloxAPI()
# Get user information
user = api.users.get_by_username("Builderman")
print(f"User ID: {user.id}")
print(f"Display Name: {user.display_name}")
# Get game details
game = api.games.get_details(920587237)
print(f"Game Name: {game.name}")
print(f"Player Count: {game.playing}")
# Get user's inventory
inventory = api.inventory.get_collectibles(user.id)
for item in inventory:
print(f"{item.name} (Asset ID: {item.asset_id})")
# Get multiple users by IDs
users = api.users.get_users([1, 156, 123456])
# Check online status
presence = api.presence.get_user_presence(user.id)
print(f"Is online: {presence.is_online}")
print(f"Last location: {presence.last_location}")
# Get user's friends
friends = api.friends.get_friends(user.id)
for friend in friends:
print(f"{friend.display_name} (User ID: {friend.id})")
# Search for games
games = api.games.search(keyword="simulator", sort_by="most_played")
# Get game badges
badges = api.badges.get_game_badges(game.id)
for badge in badges:
print(f"{badge.name} - {badge.description}")
# Get game analytics (requires game ownership)
analytics = api.analytics.get_game_analytics(game.id, "player_retention")
# Get group information
group = api.groups.get_group(4199740)
print(f"Group Name: {group.name}")
print(f"Member Count: {group.member_count}")
# Get group members
members = api.groups.get_group_members(group.id, role="Admin")
# Join a group
api.groups.join_group(group.id)
# Get cross-platform analytics
cross_platform = api.integrated_analytics.get_cross_platform(game.id, start_date="2025-01-01", end_date="2025-04-01")
print(f"Mobile users: {cross_platform.mobile_percentage}%")
print(f"Console users: {cross_platform.console_percentage}%")
# Analyze player retention
retention = api.integrated_analytics.get_retention_cohorts(game.id, granularity="week")
print(f"Week 1 retention: {retention.cohorts[0].retention_rate}%")
# Predict player churn
churn_prediction = api.integrated_analytics.predict_churn(game.id, prediction_window=30)
for player in churn_prediction.at_risk_players:
print(f"Player {player.username} has {player.churn_probability * 100}% chance of churning")
# Get available platforms
platforms = api.platforms.get_available_platforms()
for platform in platforms:
print(f"Platform: {platform.name}, Status: {platform.status}")
# Import friends from external platform
friends = api.platforms.get_friends(user.id, platform_id="steam")
api.platforms.import_friends(user.id, platform_id="steam", friend_ids=[f.id for f in friends[:5]])
# Sync game data with external platforms
api.platforms.sync_game(game.id, platform_id="xbox", sync_config={
"achievements": True,
"leaderboards": True
})
# Get content library
content = api.content.get_library(user_id=user.id, content_type="Model")
for item in content:
print(f"{item.name} (Created: {item.created_at})")
# Upload new content
new_model = api.content.upload({
"content_type": "Model",
"name": "My Awesome Character",
"description": "A detailed character model",
"file_data": encoded_file_data,
"tags": ["character", "humanoid", "detailed"]
})
print(f"Uploaded model ID: {new_model.id}")
# Manage collaborators
api.content.add_collaborator(content_id=new_model.id, user_id=friend.id, permission_level="Edit")
# Configure data pipeline
pipeline = api.bi.create_pipeline(universe_id=game.id, {
"pipeline_name": "Daily Player Metrics",
"pipeline_steps": [
{"type": "extract", "source": "game_analytics", "metrics": ["playtime", "retention"]},
{"type": "transform", "aggregation": "daily"},
{"type": "load", "destination": "data_warehouse"}
],
"schedule": {"frequency": "daily", "time": "04:00:00"}
})
# Execute ad-hoc query
result = api.bi.execute_query(
query="SELECT date, count(distinct user_id) FROM player_sessions WHERE universe_id = :universe_id GROUP BY date",
data_source="data_warehouse",
parameters={"universe_id": game.id}
)
for row in result:
print(f"Date: {row.date}, Active Users: {row.count}")
# Authenticate with cookies
api = BloxAPI(cookies={".ROBLOSECURITY": "your_cookie_here"})
# Authenticate with API key (for developer endpoints)
api = BloxAPI(api_key="your_api_key_here")
# Get authenticated user info
me = api.users.get_authenticated_user()
# Execute a GraphQL query
result = api.graphql.execute("""
query {
user(id: 1) {
id
username
displayName
friends {
id
username
}
badges {
name
description
enabled
}
}
}
""")
# Query with variables
result = api.graphql.execute("""
query GetGame($id: Int!) {
game(id: $id) {
id
name
description
visitCount
likeCount
dislikeCount
}
}
""", variables={"id": 920587237})
print(f"Game name: {result['game']['name']}")
# Register a webhook for game events
webhook = api.webhooks.create({
"url": "https://example.com/webhook/game-events",
"events": ["player.join", "player.leave", "purchase.completed"],
"universe_id": game.id,
"secret": "your_webhook_secret"
})
print(f"Webhook ID: {webhook.id}")
# List active webhooks
webhooks = api.webhooks.get_all()
for webhook in webhooks:
print(f"Webhook {webhook.id}: {webhook.url} ({', '.join(webhook.events)})")
# Delete a webhook
api.webhooks.delete(webhook.id)
# Check for suspicious transaction
result = api.security.check_transaction({
"user_id": user.id,
"item_id": item.id,
"amount": 10000,
"currency": "Robux",
"account_age_days": 5 # User account age
})
if result.is_suspicious:
print(f"Transaction flagged: {', '.join(result.risk_factors)}")
print(f"Risk score: {result.risk_score}/100")
# Monitor for bot activity
bot_check = api.security.check_bot_activity({
"user_agent": request.headers.get("User-Agent"),
"ip": request.remote_addr
})
if bot_check.is_bot and not bot_check.is_allowed:
print(f"Blocked bot: {bot_check.bot_name}")
# Configure rate limits
api = BloxAPI(
rate_limit=True,
max_requests=100,
rate_limit_window=60 # seconds
)
# Configure Redis caching
api = BloxAPI(
cache=True,
cache_expire={
"users": 3600, # 1 hour for users
"games": 300, # 5 minutes for games
"default": 1800 # 30 minutes default
},
cache_backend="redis",
redis_url="redis://localhost:6379/0"
)
# Force cache refresh for specific data
api.cache.invalidate("users", user_id=1234)
# Cache statistics
stats = api.cache.get_stats()
print(f"Cache hit rate: {stats.hit_rate * 100}%")
print(f"Average lookup time: {stats.avg_lookup_time_ms}ms")
# Get system resource usage
resources = api.monitoring.get_system_resources()
print(f"CPU: {resources.cpu.percent}%")
print(f"Memory: {resources.memory.percent}%")
print(f"Disk: {resources.disk.percent}%")
# Get endpoint performance statistics
performance = api.monitoring.get_endpoint_stats()
for endpoint, stats in performance.items():
print(f"{endpoint}: {stats.count} requests, {stats.avg_time:.2f}ms avg, {stats.error_rate * 100:.2f}% errors")
import asyncio
from bloxapi.async_client import AsyncBloxAPI
async def main():
api = AsyncBloxAPI()
# Fetch multiple resources concurrently
user, game = await asyncio.gather(
api.users.get_by_username("Builderman"),
api.games.get_details(920587237)
)
print(f"User: {user.display_name}, Game: {game.name}")
# Run the async function
asyncio.run(main())
Visit our API Reference for complete documentation of all available methods and parameters. The full API documentation is included in this repository.
For a detailed overview of the project architecture, see ARCHITECTURE.md.
Contributions are welcome! Please check out our Contributing Guide for guidelines.
For information on reporting security vulnerabilities, see our Security Policy.
BloxAPI seamlessly integrates with popular web frameworks and tools:
from flask import Flask
from bloxapi.integrations.flask import init_bloxapi
app = Flask(__name__)
api = init_bloxapi(app)
@app.route('/user/<username>')
def get_user(username):
user = api.users.get_by_username(username)
return {
"id": user.id,
"displayName": user.display_name,
"avatar": user.avatar_url
}
# settings.py
INSTALLED_APPS = [
# ...
'bloxapi.integrations.django',
]
BLOXAPI_CONFIG = {
'cache': True,
'rate_limit': True,
}
# views.py
from django.http import JsonResponse
from bloxapi.integrations.django import get_api
def user_profile(request, username):
api = get_api()
user = api.users.get_by_username(username)
return JsonResponse({
"id": user.id,
"displayName": user.display_name,
})
BloxAPI leverages powerful GitHub Actions workflows to maintain a dynamic, visually engaging project:
Automatically generates beautiful SVG diagrams, icons, and visual elements whenever the codebase is updated.
Keeps repository statistics badges up-to-date with real-time metrics from GitHub and package registries.
Builds beautiful, responsive documentation pages from markdown files with syntax highlighting and interactive elements.
These workflows ensure that BloxAPI maintains its modern, professional appearance with minimal manual effort, automatically generating assets whenever code changes are pushed.
See our deployment documentation for detailed instructions.
# Pull the image docker pull ghcr.io/bogdan11212/bloxapi:latest # Run the container docker run -p 5000:5000 -e SECRET_KEY=your_secret_key ghcr.io/bogdan11212/bloxapi:latest # Using Docker Compose docker-compose up -d
The Docker image is continuously built and published with each release. You can also build your own image using the provided Dockerfile.
This project is licensed under the MIT License - see the LICENSE file for details.