Thordata vs Bright Data: Which Proxy Network Wins for E-commerce Scraping?

If you run an e-commerce intelligence operation, you've almost certainly had the Bright Data conversation. It's the default answer when someone asks "what proxy network should we use for price monitoring?" — and for good reason. Bright Data has the biggest residential pool, the deepest tooling, and a sales team that has seen every retailer anti-bot system three times over.

But here's the thing nobody wants to say out loud: Bright Data is expensive, their dashboard is a maze, and getting help on a Tuesday afternoon feels like filing a ticket with the DMV. That's the gap Thordata has been slipping into — a challenger residential network that costs roughly half as much, gets a human on chat within minutes, and works well enough on Amazon, Walmart, and Shopify that most price-monitoring teams can't actually tell the difference in production.

This post compares them head-to-head for the use cases that matter to e-commerce scrapers: price tracking, stock monitoring, and MAP enforcement. I'll tell you exactly where Bright Data is still worth the premium and where

is the smarter pick.

The short answer

Use Bright Data if you need the largest possible IP pool, enterprise SLAs, or deep tooling like Web Unlocker and their ready-made scrapers. Use Thordata if you're running a focused e-commerce pipeline, care about unit economics, and want support that actually replies the same day.

For most mid-market teams scraping a few million retailer pages a month, Thordata wins on total cost of ownership. For enterprise teams with compliance reviews, dedicated account managers, and a need for every exotic geo, Bright Data still leads.

Network size and geo coverage

This is where Bright Data's marketing team has been shouting from the rooftops for years. The company claims roughly 150 million residential IPs across every country you've ever heard of and several you haven't. That scale matters for two things: rotating through fresh IPs fast enough to avoid retailer velocity triggers, and reaching obscure geographies (think MAP enforcement in Chile or grey-market monitoring in Vietnam).

Thordata's pool is smaller — published numbers sit in the 60 million residential IP range — but it covers the countries that actually matter for most e-commerce work: US, UK, Germany, France, Canada, Australia, Japan, Brazil, Mexico, and the rest of Western Europe. If your price monitoring is mostly US and EU, you will never hit a geo limitation on Thordata.

Where Bright Data pulls ahead: ISP proxies, mobile proxies, and datacenter pools are all larger and more granular. If you need city-level targeting in Tier 2 US cities or ASN-level selection, Bright Data has more levers.

Success rate on retailer anti-bot

This is the only metric that actually matters, and it's the hardest to get honest numbers on because every benchmark is self-reported and every retailer updates their defenses monthly.

From what production users report in 2026:

• Amazon product pages — both networks sit in the 92-97% success range on plain residential. Amazon's defenses are mostly fingerprint and behavior-based at this point, so your headers and pacing matter more than the proxy. Thordata's rotating residential is slightly cheaper per successful request.
• Walmart — Bright Data's Web Unlocker wins here because Walmart pushes heavy JavaScript challenges. On raw residential, both are roughly equivalent.
• Shopify storefronts — almost any residential IP works. This is an easy win for the cheaper provider.
• Target, Best Buy, and other Tier 1 US retailers — very similar success rates, with Bright Data having a small edge on the hardest cases.

If you're comparing proxy networks for this exact use case, our best proxy networks for e-commerce scraping category page has the full landscape, and the best residential proxy providers listicle ranks them by real-world reliability.

Session stickiness and rotation

E-commerce scraping has a quiet requirement that nobody documents well: you often need a sticky session to complete a multi-step flow (search → product → variant → price), but you also need fast rotation for high-volume SKU sweeps.

Both networks support sticky sessions, but the configuration ergonomics differ:

• Bright Data gives you precise control — session IDs, TTLs from 1 minute to infinity, country and city targeting per session. It's powerful and occasionally confusing.
• Thordata offers sticky sessions up to 30 minutes with a simpler parameter model. For most price monitoring use cases this is exactly what you want and nothing more.

If your scraper needs sessions pinned to a specific ASN or city for more than 30 minutes, Bright Data is your answer. Otherwise Thordata's simplicity is a feature, not a limitation.

Pricing: where the gap really opens up

This is where the conversation gets real. As of 2026, rough per-GB residential pricing:

• Bright Data — starts around $8.40/GB on pay-as-you-go, drops to roughly $4-5/GB at committed volume (hundreds of GB/month).
• Thordata — starts around $3/GB on pay-as-you-go, drops to roughly $1.50-2/GB at similar volumes.

For a team burning 500 GB of residential traffic a month on price monitoring, that's the difference between a $2,000 invoice and a $900 invoice. Over a year, you're looking at $13,000+ in savings — enough to hire a contractor or fund another data source.

Bright Data's counter-argument is that their ecosystem (Web Unlocker, Scraping Browser, ready-made datasets) reduces your engineering time. That's true if you'd otherwise build those things yourself. It's not true if you already have a working scraper and just need clean IPs.

SDK, proxy manager, and dev experience

This is Bright Data's moat. Their Proxy Manager, Scraping Browser, and the recently-beefed-up Bright Data SDK are genuinely excellent. If you're building scrapers from scratch and want unlock-as-a-service, they're ahead.

Thordata's approach is simpler: they give you endpoints, credentials, and a clean dashboard. No Proxy Manager, no unlocker-as-a-service (though they do offer a Web Unblocker product now). For teams that already use Scrapy, Playwright, or their own stack, that's fine — maybe even preferable, because there's less proprietary glue to maintain.

If you're shopping broader categories, see our web scraping tools roundup and headless browser automation comparison for the tooling layer that sits on top of your proxy network.

Compliance and KYC

Both networks require KYC for residential and mobile proxies, which is the industry norm post-2023 after the Bright Data vs Meta lawsuit clarified how these networks source IPs. Expect to provide company details, use-case documentation, and sometimes sample URLs before you get turned on.

Bright Data's compliance review is more thorough and slower — usually 1-3 business days. Thordata's tends to clear within a day for legitimate business use cases. Neither will let you scrape social media PII or banking sites, so don't try.

For an e-commerce scraper going after public product data, both compliance processes are painless. It's the researcher or OSINT use cases where Bright Data's review gets heavier.

Support responsiveness (this matters more than you think)

Here's something you won't find in a spec sheet: when your scraper suddenly gets a 40% success rate drop at 2 AM because a retailer pushed new defenses, how fast do you get a human who can actually help?

• Bright Data — enterprise tier gets a dedicated account manager and fast response. Lower tiers file tickets that come back in 24-48 hours with templated answers.
• Thordata — live chat with a technical rep, typically same-hour response during business hours across APAC/EU/US. Smaller team, but the person answering actually knows the product.

For a mid-market team this is huge. Support is effectively free incident response, and Thordata's ratio of competent-human-per-customer is better right now.

Where Bright Data still wins outright

I don't want to paint Bright Data as outdated — it's not. They win when:

• You need the absolute largest IP pool (anti-bot teams are good at fingerprinting smaller pools).
• You need city or ASN targeting outside the top 50 metros.
• You want Web Unlocker / Scraping Browser as turnkey services.
• You need a SOC 2 Type II partner with a procurement-friendly MSA.
• Your compliance team requires a vendor with public legal precedent and clear IP sourcing documentation.

Enterprise buyers with these needs should just buy Bright Data and move on. The premium is worth it.

Where Thordata wins for e-commerce

Thordata wins when:

• You're price-monitoring mainstream retailers (Amazon, Walmart, Target, BestBuy, Shopify, eBay).
• Your volume is 100 GB - 2 TB/month — the sweet spot where their pricing is genuinely disruptive.
• You want a dashboard a new engineer can understand in 10 minutes.
• You need responsive support without an enterprise contract.
• You're okay supplying your own scraping framework (Playwright, Scrapy, Crawlee).

For most growth-stage e-commerce intelligence companies, that's a better fit than paying enterprise Bright Data rates for features you don't use.

A practical migration path

If you're already on Bright Data and curious about Thordata, don't rip and replace — run them side by side for 2 weeks:

1. Pick your three highest-volume retailers.
2. Route 10% of traffic through Thordata.
3. Compare success rate, response time, and cost-per-successful-page.
4. Expand to 50/50 if the numbers look good.
5. Keep Bright Data for your hardest targets (Walmart Web Unlocker, exotic geos) and move the rest.

This hybrid approach is what most production teams actually end up running, because neither network is strictly better for every retailer. You save money on the easy 80% and keep Bright Data's firepower for the nasty 20%.

Related reading

• Best residential proxy providers for 2026
• Web scraping tools compared
• How to scrape Amazon without getting blocked
• MAP enforcement tooling for brands

Frequently Asked Questions

Is Thordata actually cheaper than Bright Data, or are they hiding fees?

Thordata is genuinely cheaper on residential traffic — typically 40-60% less per GB at comparable volumes. There are no hidden egress or setup fees. The main cost you can accidentally rack up is sticky session traffic, which both providers bill the same way. Bright Data's Web Unlocker and Scraping Browser are separate paid products; Thordata's Web Unblocker is similar and priced lower.

Can Thordata handle Amazon scraping at scale?

Yes. Teams are running multi-million-page Amazon scrapes on Thordata residential with success rates in the 92-96% range, which is comparable to Bright Data on the same target. The bottleneck at scale is usually your fingerprinting and pacing logic, not the proxy network itself.

Does Bright Data have better anti-bot bypass than Thordata?

On raw residential proxies, the difference is small and retailer-dependent. Bright Data's advantage shows up when you use their Web Unlocker product, which handles challenges like PerimeterX and DataDome automatically. If you're willing to run your own unlock logic, the gap narrows significantly.

Which one is better for sticky sessions during checkout flow scraping?

Bright Data offers longer and more granular sticky sessions, including infinite-duration sessions with ASN targeting. Thordata tops out at 30-minute sticky sessions but with simpler configuration. For typical e-commerce flows (search → product → variant → price), 30 minutes is plenty.

Does Thordata offer ISP or mobile proxies too?

Yes to both, though the pools are smaller than Bright Data's. For most e-commerce work, residential is what you want anyway — ISP proxies are mainly useful for account-based scraping and mobile proxies for apps.

Is there a compliance risk in using either one?

Both networks do KYC and restrict use cases to public data scraping, which covers e-commerce price and stock monitoring cleanly. Bright Data has more public legal documentation (including the Meta case) which makes procurement happy. Thordata's compliance is fine for legitimate use but has less public paper trail — factor that in if your legal team requires it.

Should I switch from Bright Data to Thordata?

Not cold-turkey. Run them in parallel on 10-20% of your traffic for two weeks, measure cost-per-successful-page on your actual targets, and expand from there. Most teams end up running a hybrid — Thordata for the bulk, Bright Data for the hardest retailers or exotic geos.