Business · Price Monitoring

Price Monitoring Proxies that don't get blocked.

Retailers show different prices by location and flag repeat scrapers, so a single IP gets stale or blocked data. Track competitor and marketplace prices across regions: country-matched residential IPs return the prices a local shopper actually sees.

Residential proxiesfrom $2.25/GBno expiration
4.6 / 5
on Trustpilot · 12 reviews
Registered in the Netherlands · GDPR compliant
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Why you need proxies

Without proxies, price monitoring stalls fast.

Retailers show different prices by location and flag repeat scrapers, so a single IP gets stale or blocked data.

See the real shelf price

Residential IPs from real ISPs get served the same price a local customer does — no bot tax, no decoy pricing, no stale cache.

Track every market

Pull US prices from a US IP and EU prices from an EU IP. Currency, promotions, and regional SKUs all land correctly.

Scale across SKUs

Rotate across millions of IPs so monitoring 50K SKUs hourly looks like 50K separate shoppers. No throttling, no bans.

Reprice on clean data

98%+ success means your pricing engine acts on the real market, not a captcha page or a fallback price.

Which proxy type

The right proxy type for price monitoring.

Residential, country-matched, rotating — local pricing without tripping anti-bot.

Recommended
Residential

For ~95% of scraping jobs.

From $2.25/GB at scale

  • E-commerce, real estate, news, directories
  • SERP scraping (Google, Bing) with city targeting
  • Job boards, listings, regulatory filings
  • Sub-second response, lower cost
See residential plans
For hardest targets
Mobile

When residential gets flagged.

From $4.25/GB at scale

  • Social platforms (IG, TikTok, FB)
  • Sneaker, ticket, drop platforms
  • CGNAT-protected - near unblockable
  • Costs more per GB; use selectively
See mobile plans
Not recommended
Datacenter

Cheap, but blocked on sight.

Not sold by us

  • Reputable platforms block on sight
  • Cloudflare flags entire ASNs
  • Failure rate kills your ROI
  • OK only for static / unprotected APIs
Not available here
In production

What price monitoring looks like in production.

Track competitor and marketplace prices across regions: country-matched residential IPs return the prices a local shopper actually sees.

bash · curl with rotating proxy
# Rotating residential, US-targeted - fresh IP per request
curl -x "http://login:country-us@ip.simplynode.io:9003" \
     "https://target.example.com/page-1"

# Sticky session - same IP for paginated scrape (30-min TTL)
for page in {1..50}; do
  curl -x "http://login:country-us-session-abc-ttl-1800@ip.simplynode.io:9003" \
       "https://target.example.com/listings?page=$page"
done
python · requests + sessions
import requests, time, hashlib

# Routing params live in the password; username is your dashboard login
PROXY = "http://login:country-us@ip.simplynode.io:9003"
PROXIES = {"http": PROXY, "https": PROXY}

def scrape_with_retry(url, retries=3):
    for attempt in range(retries):
        try:
            r = requests.get(url, proxies=PROXIES, timeout=10)
            if r.status_code == 200:
                return r.text
        except requests.RequestException:
            time.sleep(2 ** attempt)  # exponential backoff
    return None

# 500K requests/day pattern - sessions for paginated workloads (30-min sticky)
def scrape_listing(base_url, total_pages):
    session_id = hashlib.md5(base_url.encode()).hexdigest()[:8]
    sticky_proxy = f"http://login:country-us-session-{session_id}-ttl-1800@ip.simplynode.io:9003"
    for p in range(1, total_pages + 1):
        html = scrape_with_retry(f"{base_url}?page={p}")
        parse_and_store(html)
python · scrapy settings.py
# settings.py - drop in to enable SimplyNode rotating residential
DOWNLOADER_MIDDLEWARES = {
    "scrapy.downloadermiddlewares.httpproxy.HttpProxyMiddleware": 110,
}

# Routing params (country, session, ttl, asn) live in the password field
HTTPS_PROXY = "http://login:country-us@ip.simplynode.io:9003"
HTTP_PROXY  = HTTPS_PROXY

# Concurrent requests - bump up since we have unlimited concurrency
CONCURRENT_REQUESTS = 64
CONCURRENT_REQUESTS_PER_DOMAIN = 16
DOWNLOAD_DELAY = 0  # residential IPs handle rate without throttle
RETRY_TIMES = 3
RETRY_HTTP_CODES = [429, 500, 502, 503, 504]

# In your spider:
# yield scrapy.Request(url, meta={"proxy": HTTPS_PROXY})
node · playwright with proxy auth
import { chromium } from 'playwright';

// Sticky session - same residential IP across the whole browser lifetime
const sessionId = Math.random().toString(36).slice(2, 10);

const browser = await chromium.launch({
  proxy: {
    server: 'http://ip.simplynode.io:9003',
    username: 'login',
    password: `country-us-session-${sessionId}-ttl-1800`
  }
});

const page = await browser.newPage();
await page.goto('https://target.example.com/login');
// Login flow + paginated scrape, all from the same residential IP
Real customer

Pricing team · 30K SKUs · 97% success.

01
Case study · live for 10+ months

Repricing against 25 competitors across 9 countries every hour.

An e-commerce pricing team uses SimplyNode residential proxies with country targeting to pull 25 competitors' prices every hour into a repricing engine. Bandwidth scales with catalog size, and the re-scrape budget stays under 2% of volume.

30K
SKUs / hour
9
Countries
97%
Success rate
Common pitfalls

Four mistakes that corrupt price data.

Reprice on bad data and you either leave money on the table or start a race to the bottom. These are the failures we see most.

Pitfall 01

Monitoring from one country

Pulling 'competitor prices' from one office IP returns one country's prices and currency for every market you sell in.

Fix: set -country-us, -country-uk etc. per market you reprice.

Pitfall 02

One IP for the whole catalog

A single IP scraping a retailer thousands of times per hour gets rate-limited and starts seeing decoy or cached prices.

Fix: use rotating mode (default) — a fresh IP per request.

Pitfall 03

No retry logic

Even at 98% success, 1 in 50 requests fails. Missing prices silently skew your repricing math.

Fix: 3 retries with exponential backoff. See the Python example above.

Pitfall 04

Trusting datacenter IPs

Big retailers flag datacenter ranges and feed them inflated or generic prices, so cheap proxies poison the data.

Fix: use residential for any retailer that actively prices against bots.

Pricing

Price Monitoring pricing.

Pay per GB from $2.25/GB at scale, with loyalty discounts on top. No use-case surcharge; the same product serves every workflow.

From $4/GB at the starter tier, drops to $2.25/GB at 500-1000 GB.

Most repricing teams sit in the 100-500 GB/month range — that's $2.50-$3/GB effective, with loyalty discount on top once you cross $100/month.

See full pricing →
FAQ · Price monitoring

Common price monitoring questions.

Residential proxies. Residential, country-matched, rotating — local pricing without tripping anti-bot.

Retailers show different prices by location and flag repeat scrapers, so a single IP gets stale or blocked data.

Point your client at our gateway over HTTP/HTTPS/SOCKS5, authenticate with username:password or a whitelisted IP, and choose residential IPs. No SDK or agent.

Pay-as-you-go from $2.25/GB at scale, loyalty discounts on top, bandwidth never expires.

Yes — buy 1 GB, run your workflow, and check the success rate before committing volume.

Start price monitoring on the right IPs.

Buy 1 GB, run price monitoring on your real target, and watch the success rate. Bandwidth never expires.