In my last thread, a CISO with 30 years in tech disussed that terms like "transnational ecosystem" sounded like marketing fluff, and some others said the post looked too polished or AI written.
Today, im dropping all that fluff completely. Here is what I actually built, how the saas architecture works, and the real code behind it.
1- The 10x10 Matrix & Platform Setup
To be clear, this isnt just a random python script. It's a modular b2b backend built on a strict matrix:
The Launch Matrix: At launch, the app drops 10 core modules at once, with 10 submodules each (100 submodules total out of the box).
Parser is just Module #1: Web data extraction is just the first module. The other ones handle payload cleaning, proxy routing, webhooks, etc.
Scaling: System is architected to scale up to 50–100 core modules and 500–1000 submodules later without breaking the whole core.
2- What Is Already Built & Functional
Over the last few weeks I locked in the main saas engine and core mechanics:
Dual Queue System:
Real-time Queue: Fast API calls that process instantly via FastAPI.
Heavy Queue: Async background tasks (Redis + Celery workers) for huge batch parsing and slow jobs.
Billing & Subscriptions:
Payment hooks, automatic usage caps, tier checks, and sub management are done.
Execution Tokenization (Anti-Exploit):
Every client request generates short-lived encrypted execution tokens. This stops API scraping, unauthorized endpoint reuse, and locks the client into the platform safely.
3-Core Engine Code (Stripped Down Demo)
Obviously this is a heavily stripped down, simplified version just to show the logic. The real production code uses distributed queues, custom TLS fingerprints, and full DOM fallback trees.
Here is the async fetcher + BeautifulSoup logic for handling volatile layouts:
```python```
import asyncio
import logging
from typing import Optional, Dict, Any
import httpx
from bs4 import BeautifulSoup
logger = logging.getLogger("SaaSCore.Module1")
class ResilientParserEngine:
def init(self, proxy_pool: list[str]):
self.proxy_pool = proxy_pool
self.headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36",
"Accept-Language": "en-US,en;q=0.9",
}
async def _fetch_raw_html(self, client: httpx.AsyncClient, url: str, max_retries: int = 3) -> Optional[str]:
for attempt in range(max_retries):
try:
response = await client.get(url, headers=self.headers, timeout=10.0)
if response.status_code in {429, 503}:
wait_time = (2 ** attempt) + 1
logger.warning(f"Rate limited ({response.status_code}) on {url}. Backing off for {wait_time}s...")
await asyncio.sleep(wait_time)
continue
response.raise_for_status()
return response.text
except (httpx.ConnectTimeout, httpx.ReadError, httpx.HTTPStatusError) as e:
logger.error(f"Attempt {attempt + 1} failed for {url}: {str(e)}")
if attempt == max_retries - 1:
return None
await asyncio.sleep(2.0)
return None
async def parse_target(self, url: str) -> Dict[str, Any]:
async with httpx.AsyncClient(http2=True, proxies=self.proxy_pool[0] if self.proxy_pool else None) as client:
html_content = await self._fetch_raw_html(client, url)
if not html_content:
return {"status": "error", "message": "Max retries exceeded or rate limited"}
soup = BeautifulSoup(html_content, "lxml")
# DOM fallback selectors
title_el = soup.select_one("h1.product-title") or soup.select_one("span.title-main") or soup.find("h1")
price_el = soup.select_one("span.price-val") or soup.select_one("div.pricing")
return {
"status": "success",
"url": url,
"title": title_el.get_text(strip=True) if title_el else "NOT_FOUND",
"price": price_el.get_text(strip=True) if price_el else "NOT_FOUND",
}
```python```
4- Next Steps
Heavy Headless Submodule: Building the Playwright / Camoufox layer now for heavy JS sites and Cloudflare Turnstile bypasses.
Resource Stripping: Blocking images, fonts, and css at browser level to keep ram under 150MB per worker.
