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Retailers show different prices in New York vs. London. We route your request through a Residential IP in your exact target city, ensuring you see the local price, not a generic "national" average.
Datacenter IPs get blocked or fed fake data. Our network uses real ISP connections (Comcast, Verizon, Vodafone), making your price scraping bot indistinguishable from a real customer browsing the store.
We deliver the raw HTML or JSON directly to your ecommerce scraping tool. No caching, no delays. You get the live data instantly to feed your dynamic pricing engine.
Why pay for expensive SaaS? Integrate directly into Python, Node.js, or Go.
import requests
# 🟢 CONFIGURATION: MAGNETIC PROXY
# Goal: Check iPhone 15 prices in Miami vs. Los Angeles
# Strategy: Compare regional pricing using City Targeting (snake_case)
# Documentation: https://magneticproxy.com/documentation
HOST = "rs.magneticproxy.net"
PASS = "mypassword"
# 1. Target: Miami, FL
# User format: customer-<USER>-cc-us-city-miami
user_miami = "customer-myuser-cc-us-city-miami"
# We use standard HTTP Port 1080
proxy_miami = f"http://{user_miami}:{PASS}@{HOST}:1080"
# 2. Target: Los Angeles, CA
# User format: customer-<USER>-cc-us-city-los_angeles
user_la = "customer-myuser-cc-us-city-los_angeles"
proxy_la = f"http://{user_la}:{PASS}@{HOST}:1080"
target_url = "https://www.major-retailer.com/product/iphone-15"
def check_price(proxy_url, city_name):
try:
proxies = {"http": proxy_url, "https": proxy_url}
print(f"🔎 Checking price in {city_name} via {HOST}...")
resp = requests.get(target_url, proxies=proxies, timeout=10)
# Parse price here...
print(f"✅ {city_name}: Data Retrieved ({len(resp.content)} bytes)")
except Exception as e:
print(f"Error in {city_name}: {e}")
# Run checks
check_price(proxy_miami, "Miami")
check_price(proxy_la, "Los Angeles")Pricing algorithms often adjust based on shipping distance. Use our City Targeting (e.g., city-chicago, city-paris) to detect these micro-variations.
Whether you are doing competitor price scraping on AliExpress (China) or MercadoLibre (LATAM), we have local nodes ready.
Need to check 50,000 SKUs every hour? Scale your threads as high as you need. We process parallel requests without throttling.
Retailers often send "Out of Stock" pages to bots. Our residential trust score ensures you see the real stock status, preventing bad repricing decisions.
For advanced ecommerce web scraping using UDP or needing remote DNS resolution (Port 9000), we provide full SOCKS5 support included in every plan.
Feature
Generic Price Monitoring SaaS
Magnetic Residential Proxies
Cost
Expensive ($500+/mo)
Affordable (Starts at $5)
Flexibility
Limited to their features
Unlimited (Build anything)
Data Freshness
Often Cached (Delayed)
Real-Time (Live)
Targeting
Usually Country-Level
City & ISP Level
Success Rate
Variable
99.9% (Control is yours)
Detect unauthorized sellers violating Minimum Advertised Price (MAP) agreements across different regions.
Feed your internal ecommerce data scraping pipeline with sub-second data to beat competitors to the "Buy Box.
Calculate total landed cost (Product + Shipping) by simulating users in different delivery zones.
Get the plan that fits you
$5.00 per GB
Quick setup, quick tests
Single target, small batch pulls
One off checks, SEO, ads, content access
$2.00 per GB
Light daily scraping
Small catalog monitoring, price, availability
Simple automation flows, scripts, lightweight tools
$1.90 per GB
Multi location research
Ongoing monitoring, ecom, travel, marketplaces
Team sprint workloads, steady volume
$1.80 per GB
Always on data collection
Broader catalog coverage, higher request volume
Mixed protocols, more integrations, more endpoints
Always innovating to deliver smarter, faster and better solutions...
without paying a cent.
Features
Dux-Soup
Meet Alfred
Sales Robot
LinkedIn profile extraction
Scrape data while browsing or searching
Partial supportRequires manual setup to extract profiles at scale.
Audience creation
Organize contacts into reusable lists
AI message generator
Create personalized messages with AI
Message sequences
Set up follow-ups across days
Send time control
Set up follow-ups across days
Prospect response recognition
Detect replies so you can take manual action
Partial supportRequires manual setup to extract profiles at scale.
Partial supportRequires manual setup to extract profiles at scale.
Performance metrics
Track replies, acceptances, delivery
LinkedIn limit protection
Stay safe with custom usage caps
Access after trial
Check the most Frequently Asked Questions
What are Price Monitoring Proxies and why do I need them?
Can I track dynamic pricing across different countries and cities?
How fast are your proxies for price monitoring during high-volume scraping?
Do your Price Monitoring Proxies support session retention for complex workflows?