Proxies for Competitive Intelligence

Competitive intelligence requires consistent, reliable access to competitor websites, pricing pages, product catalogs, and content. Without proxies, your monitoring IPs get blocked within days — leaving you blind to market changes. Proxy infrastructure makes competitive intelligence sustainable at scale.

What to Monitor

| Intelligence Type | Data Source | Frequency | Proxy Type | |---|---|---|---| | Pricing | Product/pricing pages | Hourly-daily | ISP (speed) | | Product catalog | Category pages | Daily | Residential (diversity) | | Content changes | Blog, landing pages | Daily | ISP (consistency) | | Job postings | Career pages | Weekly | Either | | Ad campaigns | Search ads, social | Daily | Residential (geo-targeted) | | Reviews | Review platforms | Daily | Residential |

Price Monitoring System

from dataclasses import dataclass
from datetime import datetime
import httpx

@dataclass(frozen=True) class PriceSnapshot: competitor: str product: str price: str currency: str url: str timestamp: str

def monitor_competitor_price( url: str, competitor: str, product: str, price_selector: str, proxy: str, ) -> PriceSnapshot: """Fetch competitor page and extract pricing.""" with httpx.Client(proxy=proxy, timeout=30) as client: resp = client.get(url, headers={ "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36", "Accept": "text/html,application/xhtml+xml", "Accept-Encoding": "gzip, deflate, br", }) soup = BeautifulSoup(resp.text, "html.parser") price_el = soup.select_one(price_selector) price_text = price_el.text.strip() if price_el else "not found"

# Extract currency and amount currency = "USD" for symbol, code in [("$", "USD"), ("€", "EUR"), ("£", "GBP")]: if symbol in price_text: currency = code break

return PriceSnapshot( competitor=competitor, product=product, price=price_text, currency=currency, url=url, timestamp=datetime.utcnow().isoformat(), ) ```

Content Change Detection

import hashlib

@dataclass(frozen=True) class ContentChange: url: str previous_hash: str current_hash: str changed: bool detected_at: str

class ContentMonitor: def __init__(self, proxy: str): self._proxy = proxy self._hashes: dict[str, str] = {}

def check(self, url: str) -> ContentChange: with httpx.Client(proxy=self._proxy, timeout=30) as client: resp = client.get(url, headers={ "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36", "Accept-Encoding": "gzip, deflate, br", }) current_hash = hashlib.sha256(resp.text.encode()).hexdigest() previous_hash = self._hashes.get(url, "") changed = previous_hash != "" and previous_hash != current_hash self._hashes = {**self._hashes, url: current_hash} return ContentChange( url=url, previous_hash=previous_hash, current_hash=current_hash, changed=changed, detected_at=datetime.utcnow().isoformat(), ) ```

Geo-Targeted Competitive Analysis

Monitor how competitors display different pricing or content by region:

def multi_geo_price_check(
    url: str,
    competitor: str,
    price_selector: str,
    username: str,
    password: str,
    countries: list[str],
) -> list[PriceSnapshot]:
    """Check competitor pricing from multiple countries."""
    results = []
    for country in countries:
        proxy = f"http://{username}-country-{country.lower()}:{password}@gate.hexproxies.com:8080"
        snapshot = monitor_competitor_price(url, f"{competitor} ({country})", "product", price_selector, proxy)
        results = [*results, snapshot]

# Check pricing from 5 countries snapshots = multi_geo_price_check( url="https://competitor.com/pricing", competitor="CompetitorX", price_selector=".price-amount", username="YOUR_USER", password="YOUR_PASS", countries=["US", "GB", "DE", "JP", "AU"], ) ```

Scheduling and Alerting

Run monitoring jobs on a schedule and alert on significant changes:

@dataclass(frozen=True) class Alert: type: str competitor: str message: str timestamp: str

def check_price_change(previous: PriceSnapshot, current: PriceSnapshot) -> Alert | None: if previous.price != current.price: return Alert( type="price_change", competitor=current.competitor, message=f"Price changed from {previous.price} to {current.price}", timestamp=current.timestamp, ) return None ```

Legal and Ethical Considerations

Competitive intelligence through publicly available data is a standard business practice. However: - Only access publicly available pages — do not circumvent authentication - Respect robots.txt directives - Do not overload competitor servers with excessive requests - Use the data for internal analysis only, not redistribution

Hex Proxies' infrastructure processes 50 billion requests per week. Our residential proxies provide the geographic diversity for multi-market analysis, while our ISP proxies offer the speed for real-time price monitoring.