Business · Market Research

Market Research Proxies that don't get blocked.

Markets, catalogs, and content vary by country, so research from one location misses most of the picture. Gather pricing, assortment, and content data across markets: country-targeted residential IPs surface the regional view at scale.

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, market research stalls fast.

Markets, catalogs, and content vary by country, so research from one location misses most of the picture.

Collect from any market

See prices, products, and content exactly as a customer in that country does — US data from a US IP, Japanese data from a Tokyo IP. One pipeline, every market.

Stay invisible to competitors

Residential IPs come from real ISPs, so the sites you research can't flag your traffic as a competitor's crawler and feed you decoy data.

Pull at scale without limits

Rotate across millions of IPs so a 100K-page research run looks like 100K separate visitors. No throttling, no CAPTCHAs.

Trust your numbers

98%+ success and clean residential routing mean the dataset reflects the real market, not a bot-detection fallback page.

Which proxy type

The right proxy type for market research.

Residential, broad country coverage — the local view in every market you study.

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 $2.25/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 market research looks like in production.

Gather pricing, assortment, and content data across markets: country-targeted residential IPs surface the regional view at scale.

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

Market intelligence firm · 12 markets · 96% success.

01
Case study · live for 9+ months

Tracking 8,000 SKUs and 40 competitors across 12 markets.

A market intelligence team uses SimplyNode residential proxies with country targeting to pull product catalogs, prices, and reviews from 40 competitors every night, normalizing everything into a single dashboard their strategy team reads each morning.

8,000
SKUs tracked
12
Markets
96%
Success rate
Common pitfalls

Four mistakes that skew research data.

Bad market data is worse than none — it drives confident wrong decisions. These are the failures we see most.

Pitfall 01

Researching from one country

Pulling 'global' pricing from a single office IP returns one country's prices for every market. The comparison is wrong before analysis starts.

Fix: set -country-us, -country-de etc. per market you track.

Pitfall 02

One IP for the whole crawl

A single IP hitting a marketplace thousands of times gets rate-limited and starts seeing decoy or cached data.

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

Pitfall 03

No retry logic

Even at 98% success, 1 in 50 requests fails. Dropping them leaves silent gaps in the dataset.

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

Pitfall 04

Trusting datacenter IPs

Commercial sites flag datacenter ranges and feed them generic or stale content, so the 'cheap' option corrupts the data.

Fix: use residential for anything a competitor actively protects.

Pricing

Market Research 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 research teams sit in the 50-300 GB/month range — that's $2.50-$3/GB effective, with loyalty discount on top once you cross $100/month.

See full pricing →
FAQ · Market research

Common market research questions.

Residential proxies. Residential, broad country coverage — the local view in every market you study.

Markets, catalogs, and content vary by country, so research from one location misses most of the picture.

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 market research on the right IPs.

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