Best proxies for scraping e-commerce price intelligence in 2026

This list is for people who pull product prices off Amazon, Walmart, Shopify storefronts, or marketplace listings on a recurring schedule, whether that’s for a repricing tool, a dropshipping catalog, or a competitor monitoring dashboard. I run scraping infrastructure for a few small operations out of Singapore, mostly APAC and US retail targets, and proxies are the single line item that makes or breaks the uptime of that kind of job. A bad proxy pool doesn’t fail loudly. It fails quietly, feeding you stale cached prices or CAPTCHA pages that your parser happily records as “data.”

Price intelligence scraping is a different animal from general web scraping. You’re hitting the same handful of domains, often thousands of times a day, and those domains run some of the most aggressive anti-bot stacks on the internet: Amazon’s own detection layer, PerimeterX/HUMAN on a lot of DTC storefronts, Akamai Bot Manager on big retailers, Cloudflare on smaller ones. You need IPs that look like real shoppers, not datacenter ranges that get flagged on the first request. That shifts the calculus toward residential and ISP proxies over cheap datacenter pools for the storefronts that matter, while leaving room for datacenter proxies on softer targets where cost per request actually matters more.

I picked and tested these providers against that specific job: repeated, scheduled requests against price and inventory pages on major retail sites, not one-off scraping of unprotected blogs. Everything below reflects pricing and plan structure as of mid-2026, which moves fast in this market, so check the vendor page before you commit to an annual plan.

how I picked

residential and ISP IP pool size and geographic spread, since price intelligence usually needs US, EU, and APAC exit points to catch regional pricing
measured success rate against retail-grade anti-bot systems (Akamai, PerimeterX/HUMAN, Cloudflare, Amazon’s in-house detection), not just generic block rate
sticky session support and rotation control, because product pages often need session persistence to load pricing widgets correctly
real price per GB at volumes a working price-intelligence operation actually uses, not the teaser rate on the homepage
availability of a structured e-commerce scraper API for teams that don’t want to maintain their own parsing layer
a pay-as-you-go or trial tier so you can validate against your actual target sites before signing an annual contract

the picks

Bright Data

Bright Data has the largest residential IP pool in the industry by most public counts, and it’s the one I reach for when a target site has serious defenses, like Amazon product pages or a big-box retailer running Akamai. Their documentation is genuinely thorough, which matters more than it sounds like when you’re debugging why 2% of your requests are silently returning a decoy price page instead of a block. They also run a dedicated E-commerce Scraper API that returns parsed JSON for Amazon, Walmart, and a list of other named retailers, so you can skip building your own parser for the big targets.

The catch is cost. Bright Data is consistently the most expensive option on this list, and their account approval and KYC process is heavier than the smaller vendors here. Worth it if you’re running a business on this data, overkill if you’re checking prices on fifty SKUs a day.

largest residential pool with genuine global coverage, including harder APAC regions
purpose-built E-commerce Scraper API with pre-parsed retailer data
strong documentation and account support for debugging block patterns
most expensive option on this list at every volume tier
onboarding and KYC is slower than smaller competitors

Pricing: residential proxies from roughly $8.40/GB pay-as-you-go, dropping with committed volume plans starting around $499/month.

Read the full Bright Data review

Oxylabs

Oxylabs is the other enterprise-grade option, and for e-commerce specifically I’d actually put it ahead of Bright Data for most teams. Their E-Commerce Scraper API is priced per result rather than per GB, which is a better fit for price monitoring since your cost scales with the number of SKUs you track rather than page weight, and retail pages are often bloated with images and scripts you don’t need. They also publish real success-rate numbers per target domain in their developer docs, which is more transparency than most of the industry offers.

Support is solid but geared toward mid-size and larger accounts. If you’re a solo operator scraping a few hundred products a day, you’ll get functional service but you’re not the priority customer.

E-Commerce Scraper API billed per result, which maps cleanly to SKU-based monitoring
published per-domain success rates instead of vague marketing claims
large residential and datacenter pools with good EU coverage
account minimums push out very small operators
per-result API pricing gets expensive fast if you’re pulling full page HTML instead of structured fields

Pricing: residential pay-as-you-go from about $8/GB, with the E-Commerce Scraper API starting near $1.49 per 1,000 results on entry plans.

Read the full Oxylabs review

Decodo (formerly Smartproxy)

Smartproxy rebranded to Decodo in 2024, keeping the same infrastructure and pool while repositioning around developer tooling. It’s the pick I’d point a small e-commerce team toward first: cheaper than Bright Data and Oxylabs, a usable dashboard, and residential coverage that’s good enough for Amazon and most Shopify stores without the enterprise sales process.

Where it falls short is scale and depth of geo-targeting. City-level targeting exists but the pool thins out fast once you get past the top 20 or so countries, so if your price monitoring needs granular coverage across, say, secondary EU markets, you’ll hit gaps Bright Data and Oxylabs don’t have.

meaningfully cheaper than the two enterprise options above at comparable quality
self-serve signup and dashboard, no sales call required to get started
decent success rate against Cloudflare and PerimeterX on mid-tier retail sites
city-level geo-targeting is shallow outside major markets
occasional session instability on longer scraping runs, per user reports on their support forum

Pricing: residential plans start around $7/GB, with pay-as-you-go options and a $50 entry tier for smaller test runs.

Read the full Decodo review

NetNut

NetNut’s angle is static residential (ISP) IPs sourced directly from network owners rather than a peer-to-peer residential pool, which means the IPs are more stable session to session. For price intelligence where you want to hammer the same product page repeatedly to track price changes over hours, a static IP that doesn’t rotate mid-session is genuinely useful, since some retail sites treat rapid IP switching on the same account session as a bot signal.

Their unlimited concurrent connections on higher plans is a real differentiator if you’re running a wide horizontal scrape across thousands of SKUs at once rather than a deep vertical one.

static ISP proxies that hold a stable IP across long scraping sessions
unlimited concurrent connections on business and above plans
direct ISP sourcing tends to mean fewer IPs already burned by other scrapers
smaller total IP pool than Bright Data or Oxylabs
pricing structure is less transparent, most plans require a call for enterprise volume

Pricing: static residential plans start around $300/month for entry business tiers, with pay-as-you-go residential from roughly $20/GB.

Visit NetNut

IPRoyal

IPRoyal is the budget pick that actually holds up. Their residential traffic doesn’t expire on a monthly cycle the way most competitors’ does, so if you buy a block of GBs for a slow month of price checks, it carries over instead of resetting. For a solo operator or a small dropshipping catalog where you’re not burning bandwidth every day, that alone can cut effective cost significantly compared to a use-it-or-lose-it plan.

It’s not built for the hardest targets. I’ve had noticeably lower success rates against Amazon’s detection specifically compared to Bright Data or Oxylabs, so I use IPRoyal for softer retail targets and Shopify stores rather than as my primary Amazon pool.

residential traffic doesn’t expire, unusual in a market that mostly resets monthly
lowest entry cost on this list for residential IPs, with purchases starting around $3
straightforward self-serve dashboard with no minimum contract
weaker success rate against Amazon’s detection layer specifically compared to enterprise options
smaller pool means more IP reuse and occasional overlap with other scrapers’ traffic

Pricing: residential proxies from about $7/GB pay-as-you-go, no monthly minimum.

Visit IPRoyal

Soax

Soax’s strength is flexibility on small and medium volume. You can buy a 1GB trial to test against your actual target list before committing, which most of the larger vendors don’t offer without a sales conversation, and their targeting goes down to city and ISP level in more countries than Decodo covers. For a team doing regional price comparisons, say tracking the same SKU’s price across five APAC markets, that granularity is genuinely useful.

The dashboard and rotation controls are less polished than Oxylabs or Bright Data, and at higher volumes the per-GB price doesn’t come down as aggressively as the bigger players.

low-commitment trial tier for testing against real targets before buying in bulk
city and ISP-level targeting across a wide country list, useful for regional price comparisons
mixes residential and mobile IPs in the same pool, helpful against mobile-first detection
per-GB pricing stays relatively flat at scale compared to enterprise competitors
rotation and session controls feel less mature than the top two picks

Pricing: plans start around $9 for a 1GB test, with standard residential from roughly $9/GB.

Visit Soax

Webshare

Webshare is the outlier on this list because its core strength is datacenter proxies, not residential. For price intelligence, that only works on retailers with weaker bot defenses, smaller Shopify stores, regional marketplaces, sites that aren’t running Akamai or PerimeterX. But for those targets, Webshare is absurdly cheap, and they offer a free tier with 10 datacenter proxies that’s enough to validate your scraper logic before you spend anything.

I wouldn’t point Webshare at Amazon or Walmart. I do use it for the long tail of smaller e-commerce sites in a price monitoring list where paying residential rates for every target would be wasteful.

free tier with 10 datacenter proxies, useful for testing scraper logic at zero cost
lowest cost per proxy on this list by a wide margin for datacenter IPs
residential add-on available for the subset of targets that need it
datacenter IPs get blocked fast on Amazon, Walmart, and other heavily defended retailers
not a fit as your only pool if most of your target list runs serious bot protection

Pricing: datacenter plans start around $2.99/month, residential add-on from roughly $3.75/GB on entry tiers.

Visit Webshare

comparison table

provider	price	primary strength	primary weakness
Bright Data	from ~$8.40/GB	largest pool, dedicated e-commerce API	most expensive, slower onboarding
Oxylabs	from ~$8/GB, API from ~$1.49/1k results	per-result e-commerce API, published success rates	account minimums for smaller teams
Decodo	from ~$7/GB	cheap self-serve entry into enterprise-grade infra	shallow geo-targeting outside top markets
NetNut	from ~$20/GB, plans from ~$300/mo	static ISP IPs, unlimited concurrency	smaller pool, opaque enterprise pricing
IPRoyal	from ~$7/GB	traffic doesn’t expire, lowest entry cost	weaker against Amazon-grade detection
Soax	from ~$9/GB	small trial tiers, deep city-level targeting	pricing doesn’t scale down much at volume
Webshare	from ~$2.99/mo	cheapest datacenter option, free tier	blocked fast on heavily defended retailers

how to choose

Start with your target list, not the proxy vendor. If you’re scraping Amazon, Walmart, or any retailer running Akamai or PerimeterX, datacenter proxies are close to useless and you should budget for residential or ISP IPs from Bright Data, Oxylabs, NetNut, or Decodo. If your list is mostly smaller Shopify stores or regional marketplaces without serious bot defenses, Webshare’s datacenter pricing will save you real money and there’s no reason to pay residential rates for a target that doesn’t need it.

Match the billing model to how you actually scrape. Per-GB pricing punishes you if you’re pulling full page HTML with images and scripts on heavy retail pages, since a single Amazon product page can run several hundred KB before you even get to the price. If you only need the price, stock status, and a couple of fields, a per-result structured API like Oxylabs’ E-Commerce Scraper API often works out cheaper than raw proxy bandwidth, because you’re not paying to transfer the parts of the page you’re throwing away.

Proxies alone don’t solve detection. Retail anti-bot systems increasingly fingerprint the browser and TLS handshake on top of the IP, so a residential IP behind a scraper with a default headless Chrome fingerprint still gets flagged. If you’re scaling past a handful of targets, pair whatever proxy pool you choose with proper fingerprint rotation. I’ve written more about that side of the stack on antidetectreview.org, which covers the browser fingerprinting tools that actually matter alongside your proxy layer. And if your price monitoring setup also involves managing multiple seller or buyer accounts across marketplaces to see region-locked or account-tiered pricing, multiaccountops.com covers the account isolation side of that, which is a separate problem from IP rotation.

One more thing worth saying plainly, since it comes up constantly: scraping public price pages is not automatically illegal, but it isn’t automatically fine either, and it depends on the target’s terms of service, your jurisdiction, and whether you’re circumventing access controls rather than just reading public data. This is not legal advice. If you’re building anything beyond a personal side project, get an actual lawyer to look at your specific setup, and at minimum respect the target site’s robots.txt directives, which is the closest thing the web has to a documented standard for what a site owner considers acceptable automated access. Google’s own guidance on how crawlers should interpret robots.txt is a reasonable baseline even outside search indexing.

verdict / top pick

For most teams doing serious e-commerce price intelligence, my top pick is Oxylabs. The combination of a purpose-built E-Commerce Scraper API billed per result, published success rates by domain, and residential pool depth that holds up against Amazon and Walmart makes it the best fit for the specific job this list is about, not general scraping. If budget is the constraint and you’re monitoring a smaller catalog or softer targets, start with Decodo or IPRoyal and upgrade once you know your actual volume. If you’re mixing in a long tail of lightly defended smaller stores, keep Webshare in the stack for those targets specifically rather than paying residential rates across the board.

For more on how I evaluate scraping infrastructure, check the rest of the write-ups on the blog.

Written by Xavier Fok

disclosure: this article may contain affiliate links. if you buy through them we may earn a commission at no extra cost to you. verdicts are independent of payouts. last reviewed by Xavier Fok on 2026-07-11.