tg automation v4.0 CLUSTER
AUTONOMOUS PYTHON ENGINE / Zero-Ban Extraction Fleet

Hyper-Scale Python
Automation Engines

Orchestrate high-throughput web scraping swarms, stealth residential proxies, and machine-learning extraction pipelines. Sub-millisecond uvloop coroutines with zero thread contention.

50K+
Concurrent Tasks
99.9%
Bypass Pass-Rate
< 12ms
Event Loop Latency
STREAMING
PID: 4180 | RAM: 248MB | PROXIES: 75.2M
Python 3.12 (uvloop)
Engine Capabilities

Engineered for Heavy Duty Autonomy

Deconstruct web bot mitigation systems with automated browser fingerprint randomization and sub-second proxy dispatch.

Rust-Accelerated Event Loop

uvloop & Rust

Achieve 50,000 asynchronous network operations per cluster node. Custom memory-mapped buffers bypass standard GIL locking while maintaining native Python coroutine ergonomics.

Zero-Allocation Parsing
Dynamic Concurrency Auto-Scale

Stealth Fingerprint Evasion

JA4 Spoof

Randomize TLS JA3/JA4 ciphers, WebGL canvas noise, and TCP window packets on every HTTP transaction to bypass Cloudflare Turnstile, Datadome, and Akamai.

75M+ Residential IP Rotation

Automated Webhooks & DAGs

Push real-time payload mutations to Kafka, ClickHouse, Snowflake, or S3 using zero-copy Parquet serializers.

Pydantic v2 Schema Guard

Autonomous schema drift detection halts and alerts when target HTML hierarchies shift, preserving warehouse data integrity.

OpenTelemetry Observability

Native Grafana and Prometheus exporters provide end-to-end distributed span tracing across multi-region worker fleets.

Developer Experience

Write Plain Python.
tgautomation Handles The Swarm.

No convoluted YAML or proprietary orchestrators. Wrap your standard async routines with intuitive decorators to gain automated stealth and retry guarantees.

1
Install via PyPI: pip install tgautomation
2
Attach the @tg.workflow decorator
3
Stream directly to S3/Snowflake without custom ETL plumbing
crawler_pipeline.py
Python 3.12
import tgautomation as tg
from pydantic import BaseModel

class FinancialFeed(BaseModel):
    ticker: str
    price: float
    order_depth: list[dict]

# Autonomous anti-bot orchestration
@tg.workflow(
    concurrency=1000,
    stealth_mode=True,
    tls_profile="chrome-124-ja4"
)
async def stream_market_records(feed_url: str) -> FinancialFeed:
    session = await tg.stealth_session()
    raw = await session.get(feed_url)
    
    # Schema validation against Pydantic
    record = tg.extract_schema(raw, model=FinancialFeed)
    await tg.stream_to_lake("s3://market-lake/v1", record)
    return record
Transparent Economics

Predictable Fleet Scaling

Start on developer nodes, scale to dedicated single-tenant Kubernetes VPC clusters.

Starter Node

Dev Tier

Ideal for prototypes, indie crawlers, and single-domain extractors.

$49 / mo
  • 100,000 monthly executions
  • 15 concurrent async coroutines
  • Standard Data Center Proxies
  • Community Discord Support
Get Started
Most Popular

Cluster Pro

High Scale

For fintech data pipelines, retail scraping, and high-frequency feeds.

$199 / mo
  • 2,500,000 monthly executions
  • 150 concurrent async coroutines
  • Residential Proxy Pool + Captcha Solver
  • Slack & Webhook Anomaly Triggers
  • Priority 1-Hour SLA Support
Deploy Cluster Pro

Enterprise VPC

Custom SLA

Dedicated Kubernetes clusters, bespoke proxy pools, and 24/7 SRE.

Custom / annual plan
  • Unlimited requests & workers
  • Single-Tenant Kubernetes Cluster (VPC)
  • Custom Zero-Day Bypass Fingerprints
  • 99.99% Uptime SLA & SOC2 Certified
  • Dedicated Enterprise Architect
Contact Architecture Team
Instant Provisioning

Request tgautomation Access

Provision an evaluation cluster with $500 free residential proxy credits.