Dynamic price monitoring
Track price changes for your SKUs and competitor SKUs across marketplaces, retailers and country versions in real time.
Ecommerce Scraping Use Case
Residential Proxies for Ecommerce Scraping
Monitor pricing, stock, Buy Box and product catalogs across Amazon, Walmart, Mercado Libre, AliExpress and thousands of DTC stores using real ISP-connected IPs with city-level targeting and sticky cart sessions.
Anti-bot bypass
City & country pricing
Sticky cart sessions
Real-time price tracking
Marketplace-grade scale
Why ecommerce scraping breaks
without the right proxies
Modern marketplaces and DTC stores run sophisticated anti-bot stacks, personalize prices by location, and split catalogs across thousands of variants. Here is what fails first.
Anti-bot systems flag datacenter IPs
Cloudflare, Akamai, PerimeterX and DataDome routinely throttle, CAPTCHA or block known datacenter ranges before you ever see a price.
Prices and stock vary by location
Marketplaces show different SKUs, prices, currencies, shipping and discounts depending on the visitor’s country, city or even ZIP code.
Catalogs are huge and fast-changing
Crawling millions of product pages, variants and reviews per day puts heavy pressure on a fixed pool of IPs and quickly trips rate limits.
Cart and checkout flows need stability
Pricing on cart pages, shipping calculators and checkout-only offers require holding the same IP across multiple requests.
Personalized prices distort signals
Logged-in or fingerprinted sessions return prices tailored to the user, making naive scraping unreliable for benchmarking.
JS-heavy storefronts hide data
Modern ecommerce sites render product info client-side — without a browser-grade proxy stack, you only see empty HTML shells.
Real shopper traffic with residential IPs
Residential proxies route retail crawls through real ISP-connected IPs from actual consumer devices. The result: lower block rates on protected marketplaces, accurate localized pricing and stable cart sessions for checkout flows.
Built for retail data teams
Real shoppers, real prices, real stock
Instead of crawling marketplaces from a fixed datacenter range, requests are spread across millions of residential connections. You get authentic localized pages — the same prices, SKUs and offers a real shopper would see, with stable sessions for cart and checkout flows.
- Lower block & CAPTCHA rates on protected retailers
- Country, region, city & ZIP-level pricing accuracy
- Sticky sessions for cart, shipping and checkout
- Catalog-scale concurrency for millions of SKUs
Rotate through real ISP IPs
Spread crawls across millions of residential connections so traffic looks naturally distributed across real shoppers.
Sticky sessions for carts
Hold the same residential IP across category → product → cart → shipping flows to capture true checkout-time prices.
Country, region & city pricing
See exactly what local shoppers see — local currency, local SKUs, local promotions and local stock availability.
Lower CAPTCHA & block risk
Real residential routing reduces detection on Cloudflare, Akamai and bot management systems used by major retailers.
Catalog-scale concurrency
Run thousands of parallel workers across SKUs, variants and ASINs without hitting per-IP throttling.
Compliant public data only
Designed for collecting publicly available product, price and review information while respecting site policies.
Built for workflows that actually run
From Fortune 500 data platforms to lean growth teams, the same endpoint adapts to dozens of different jobs.
Stock & availability tracking
Detect restocks, low-stock signals and out-of-stock SKUs across thousands of product pages on a fixed schedule.
Product catalog & assortment
Build full SKU coverage from category trees, search results and seller pages on Amazon, Walmart, eBay, Mercado Libre and more.
MAP enforcement
Detect minimum advertised price violations across resellers, marketplaces and grey-market listings before margins erode.
Reviews & ratings analytics
Aggregate public reviews, ratings and Q&A across marketplaces to power product intelligence and sentiment dashboards.
Promotions & deal monitoring
Capture deal pages, flash sales, coupons and promo banners as they appear in different regions and categories.
Cross-border price arbitrage
Compare the same product across country storefronts to identify margin and arbitrage opportunities.
Marketplace SERP & Buy Box
Track on-site search rankings, Buy Box ownership and sponsored placements across keyword and category SERPs.
Brand protection
Spot counterfeits, unauthorized resellers and trademark misuse across global marketplaces and listings.
New product & trend research
Surface trending categories, bestsellers and new arrivals to inform sourcing, dropshipping and merchandising.
Scrape the biggest retail platforms in the world
From global marketplaces to regional retailers and Shopify storefronts — residential proxies route your crawls through real local shoppers, not flagged datacenter ranges.
AmazonUS · EU · APAC
eBayGlobal
WalmartUS · CA
Mercado LibreLATAM
AliExpressGlobal
Shopee / LazadaAPAC
AllegroPL · EU
Otto · CdiscountEU
JD · TmallCN
RakutenJP
EtsyGlobal
Shopify storefrontsGlobal
Don’t see your retailer here? Residential proxies work with any public storefront — including Shopify, WooCommerce and custom DTC stacks.
Everything a serious data team needs
Purpose-built infrastructure for high-volume scraping, automation, price intelligence and ad verification — without the operational headache.
Rotating residential IPs
Distribute requests across the residential pool so individual SKUs never get hammered from a single IP.
Sticky sessions for cart flows
Configure session duration to keep one IP across multi-step retail flows — category, PDP, cart and checkout.
City & ZIP-level targeting
Pin requests to a specific city or postal code where it’s available, to capture localized inventory and shipping.
HTTP, HTTPS & SOCKS5
Plug into your existing scraping stack, headless browsers, retail intelligence platforms or RPA tooling.
Catalog-scale concurrency
Run thousands of parallel workers across millions of product URLs without per-session caps.
Authentication options
User:Pass or IP whitelist auth — pick whatever fits your retail-data warehouse, Lambda or Kubernetes setup.
API-friendly setup
Drop into Puppeteer, Playwright, Scrapy, Python requests, Node.js Axios or your custom retail data pipeline.
Bandwidth analytics
Track GB consumption per project in the dashboard so you can budget price-monitoring jobs accurately.
No expiration on traffic
Top up once and use traffic over months — perfect for seasonal pricing campaigns and retail events.
From sign-up to first request
in 3 steps
Zero infrastructure to provision, no long onboarding call. Start routing real residential traffic in minutes.
01Step 1
Pick the storefront and country
Choose the marketplace, retailer or storefront and the country/city you want to scrape — pricing and stock often differ by region.
02Step 2
Configure rotation or sticky sessions
Use rotating IPs for catalog-wide crawls or sticky sessions to hold one IP across a full PDP → cart → shipping flow.
03Step 3
Stream prices into your pipeline
Send the data to your warehouse, BI or pricing engine — and rerun on schedule to keep dashboards always-fresh.
Drop into your existing
retail data stack
Whether you run Scrapy spiders, Playwright workers, serverless crawlers or a custom retail intelligence platform — wire residential proxies in with a few lines.
cart_flow.py · Python · sticky sessionExample
import requests
# Sticky residential session for a single PDP → cart flow
proxies = {
"http": "http://USER-session-abc123:PASS@proxy.example.com:8000",
"https": "http://USER-session-abc123:PASS@proxy.example.com:8000",
}
# Step 1: product page (US, New York city target)
pdp = requests.get(
"https://www.example-shop.com/p/SKU-12345",
headers={"X-Geo": "US-NY-NewYork"},
proxies=proxies,
)
# Step 2: add to cart
cart = requests.post(
"https://www.example-shop.com/cart",
json={"sku": "SKU-12345", "qty": 1},
proxies=proxies,
)
print("PDP:", pdp.status_code, "Cart:", cart.status_code)Puppeteer / PlaywrightRender JS-heavy product pages and capture true rendered prices, availability and Buy Box.
Python Requests · BeautifulSoupQuick scripts and notebooks for daily price snapshots, SKU diffs and ad-hoc analysis.
Scrapy spidersWire residential proxies into middlewares for distributed retail crawls at marketplace scale.
Node.js Axios · GotPass proxy host, port and auth into per-request configs from serverless functions and workers.
Selenium · WebdriverIODrive checkout-style flows with sticky sessions when you need real cart and shipping prices.
Custom retail pipelinesPlug residential routing into ETL workers, Kafka consumers and pricing engines.
Residential vs datacenter
for ecommerce scraping
For protected marketplaces and DTC stores, residential proxies typically win on success rate and localization. Datacenter proxies stay useful for unprotected feeds and internal testing.
Feature
Residential proxiesRecommended
Datacenter proxies
Marketplace anti-bot bypass
Residential
Real ISP IPs blend with shoppers — lower block rate on Cloudflare/Akamai/DataDome
Datacenter
Frequently flagged by major retail anti-bot stacks
Localized pricing & stock
Residential
Country, region, city and ZIP-level targeting on real local IPs
Datacenter
Limited geo realism, often shared by many sites
Cart / checkout flows
Residential
Sticky sessions hold one IP through PDP → cart → shipping
Datacenter
Rotation only, harder to maintain consistent retail sessions
Catalog scale
Residential
Distributed pool ideal for millions of SKUs and concurrent crawls
Datacenter
Fast but small IP surface, easier to rate-limit at scale
Best for
Residential
Marketplaces (Amazon, MELI, Walmart), DTC stores, MAP, Buy Box
Datacenter
Internal tools, simple feeds, low-protection product pages
Cost per GB
Residential
Higher per GB, but higher success rate on retail targets
Datacenter
Lower per GB, but more retries on protected stores
Compliance fit
Residential
Public product data collection with location-aware controls
Datacenter
Suitable for unprotected feeds and internal sandbox testing
Scrape storefronts across 210+ countries
Run retail crawls from real local IPs in every major market. Country, region, city and ASN-level targeting — perfect for cross-border pricing, MAP and Buy Box monitoring.
210+
Countries covered
100M+
Residential IPs
99.9%
Uptime SLA
0.3s
Avg. response
🇺🇸US
United States9,567,890+ residential IPs
Network liveView country
🇬🇧GB
United Kingdom3,260,554+ residential IPs
Network liveView country
🇩🇪DE
Germany3,221,909+ residential IPs
Network liveView country
🇨🇦CA
Canada2,789,123+ residential IPs
Network liveView country
🇫🇷FR
France2,661,413+ residential IPs
Network liveView country
🇯🇵JP
Japan2,123,456+ residential IPs
Network liveView country
🇦🇺AU
Australia2,123,456+ residential IPs
Network liveView country
🇰🇷KR
South Korea1,987,654+ residential IPs
Network liveView country
Built for teams that depend on
retail data
From DTC brands and marketplaces to pricing platforms and brand-protection vendors — residential proxies power the data layer behind modern ecommerce operations.
Ecommerce brands
Track your own SKUs across resellers, marketplaces and countries to defend pricing and assortment.
Retail analytics platforms
Power price intelligence, BI and analytics SaaS with reliable retail data pipelines.
Marketplaces & aggregators
Aggregate sellers, listings and offers across third-party marketplaces and storefronts.
Dropshipping & DTC
Discover trending products, monitor competitors and validate niches before launching.
Brand protection teams
Detect counterfeits, unauthorized sellers and IP infringement across global marketplaces.
Pricing & revenue teams
Feed dynamic pricing engines and elasticity models with always-fresh competitor data.
Cross-border retailers
Compare prices, taxes and shipping across country storefronts to optimize global launches.
Investors & market research
Track GMV signals, category share and merchant trends from public marketplace data.
Responsible use
Scrape ecommerce responsibly
Our residential proxies are intended for lawful and ethical retail data collection. Use them to access publicly available product, price and listing data — and respect website terms, rate limits, privacy laws and platform rules.
- Collect only publicly available product, price and listing data
- Respect website terms of service and rate limits
- Avoid scraping personal customer data without permission
- Follow applicable data protection and consumer laws
- Do not bypass paywalls, logins or anti-fraud controls
Frequently asked questions
Can't find what you're looking for? Our engineers are happy to answer anything from ethics to architecture.
Yes. Residential proxies route requests through real ISP-connected IPs, which makes them well suited for collecting public product, price and review data on major marketplaces. Combine rotation with sticky sessions and city-level targeting depending on your task.
Use rotating proxies for catalog-wide and SERP-style crawls (millions of SKUs, listings, search results). Use sticky sessions when you need to walk a single shopper journey — product page → cart → shipping calculator → checkout — and keep the same IP across the flow.
Yes. Many retailers show different prices, currencies, SKUs, taxes and stock availability based on the visitor’s country, region or city. Geo-targeted residential proxies let you query each storefront from a real local IP and capture the actual local offer.
Yes. Sticky sessions are designed for multi-step flows. You hold the same residential IP across product, cart, shipping and checkout requests, which is essential for capturing true cart-time prices, shipping costs and promo eligibility.
For protected marketplaces and retailers (Amazon, Mercado Libre, Walmart, Cloudflare/Akamai-protected stores), residential proxies typically have a much higher success rate. Datacenter proxies remain useful for unprotected feeds, internal testing and simple low-risk crawls.
It depends on the jurisdiction, the website, the data type and how it is used. As a general rule: only collect publicly available data, respect website terms, do not bypass authentication or anti-fraud, and do not collect personal data without a lawful basis. Consult your legal team for your specific use case.
Ecommerce ready · from $1 / GB
Start tracking real retail prices today
Run catalog crawls, MAP enforcement, Buy Box tracking and competitor monitoring with rotating residential IPs, sticky cart sessions and city-level targeting.
No contracts Pay-as-you-go 210+ countries