Bright Data

One of the largest proxy pools on the market — residential, mobile, datacenter, ISP static, all in one place. The scale matters if you're running millions of requests across many geos. IPv6 is missing, which is a real gap for infrastructure testing. Overkill for most small and mid-size projects — you're paying for capacity you won't use.

Bright Data operates one of the largest proxy networks in the category, combining residential, mobile, datacenter, ISP, and browser automation infrastructure under a single platform. The residential pool is sourced through EarnApp — an opt-in application that compensates users for sharing their internet connection, providing a documented consent mechanism that distinguishes Bright Data's sourcing transparency from providers who are less explicit about acquisition methods. Network scale here means both volume and diversity: IP distribution across geographies, ASNs, and carrier types that determines targeting capability. The combination of multiple proxy types managed through one platform reduces the operational overhead of maintaining separate provider relationships for different use cases.

Full proxy stack with real opt-in sourcing via EarnApp — more transparent than most providers. KYC is mandatory for full residential access. Strong compliance-first setup; not suitable for quick or anonymous onboarding.

The full proxy stack covers residential, datacenter, ISP, mobile, and browser automation through the Scraping Browser product. Each type is maintained as distinct infrastructure rather than a single unified pool with type labels — the residential network, mobile network, and datacenter infrastructure are separate operational components. The Scraping Browser product is a differentiated offering that combines proxy rotation with a managed browser environment for JavaScript-heavy targets, reducing the complexity of combining a headless browser with proxy management independently. This means teams that need JavaScript rendering alongside IP rotation can manage both through one platform rather than integrating separate tools.

ZIP and ASN targeting on residential is rare — most providers stop at city level. That granularity disappears on datacenter and ISP proxies, so the advantage is type-specific. Session duration is fixed by the platform with no user-defined duration setting

ZIP code and ASN-level targeting on residential proxies is rare in the category. Most providers offer country and city as the standard targeting ceiling. ZIP-level precision enables use cases that require hyperlocal geo-verification — price monitoring that needs to appear from a specific postal code, local ad verification, location-based content access with neighborhood-level specificity. ASN targeting enables routing traffic through specific network operators rather than just geographic regions, which matters for testing how content appears to users on specific ISPs or corporate network blocks. The targeting parameter system encodes these options into the proxy authentication username field, which requires reading documentation but enables precise targeting through code.

high uptime commitment SLA with a fast engineer response is among the strongest in this market. The high stated success rates is a marketing claim — no financial penalty if it drops. No per-region latency benchmarks published, so real-world performance in your target geo is unknown until you test it yourself.

Bright Data's uptime commitment and engineer response window place it at the high end of reliability commitments in the proxy category. SLA terms with documented financial remedies are published — a meaningful distinction from providers who state reliability goals without structured accountability for when they're missed. High session success rates on maintained residential pools reflect active pool management: IPs are cycled and quality-checked rather than simply accumulated. The enterprise-grade reliability posture is designed for production data collection workloads where success rate consistency has direct operational cost implications when requests fail and need to be retried.

Billing options are genuinely flexible: PAYG or subscription, GB or per-IP. The pricing page is cluttered with promotions that make it hard to know what you'll actually pay at scale. You're paying for infrastructure depth and compliance — not cost efficiency.

PAYG and subscription options with per-GB and per-IP billing across different proxy types creates genuine flexibility alongside genuine complexity. A team running residential PAYG alongside datacenter subscription alongside Scraping Browser credits has multiple cost streams to track and optimize. The flexibility is real — teams can match billing model to usage pattern for each proxy type independently. The management overhead is also real — cost modeling requires understanding how each billing dimension interacts. Teams that don't model cost carefully before scaling can encounter higher bills than expected, particularly when PAYG rates apply to high-volume usage that would have been more economical on subscription terms.

Targeting and session control via proxy username parameters — powerful but code-level only. No dashboard toggle for rotation; no pip/npm SDK. Requires engineering effort — not usable without code.

Proxy authentication at Bright Data uses username parameter encoding where targeting options are embedded in the authentication username field during connection setup. Parameters for session type, geographic target, ZIP code, ASN, and carrier are all specified in the username string. This approach is powerful for code-driven targeting — a single proxy endpoint handles multiple targeting configurations through parameter changes rather than requiring separate endpoint URLs. The learning curve is reading and understanding the parameter documentation rather than guessing conventions. The Scraping Browser API provides a higher-level interface that abstracts some of this complexity for teams using browser automation.

SDK-based opt-in, KYC for clients, zero reselling policy — more auditable than most. GDPR and CCPA documented with a DPA available. Strongest self-reported compliance model in the proxy market — still not independently audited.

SOC 2 Type II certification, GDPR compliance documentation, KYC verification requirements for new client accounts, and a zero-reselling policy create a compliance architecture that enterprise procurement teams can evaluate against formal requirements checklists. The EarnApp opt-in sourcing mechanism is auditable — consent mechanics, compensation structure, and opt-out process are publicly documented and verifiable. This level of sourcing transparency is more extensive than most competitors provide. The compliance posture reflects the enterprise customer base Bright Data serves, where procurement teams require documented answers to sourcing and data processing questions before signing contracts.

24/7 live chat, WhatsApp, Telegram, and engineer support under SLA — the broadest support stack in the proxy market. The fast initial response SLA is real, but only on SLA-covered plans. PAYG users do not get SLA-level guarantees.

Support channels include 24/7 live chat, WhatsApp, and Telegram contact options alongside standard ticket escalation. SLA-backed engineer response times apply at enterprise tiers — meaning technical specialists with infrastructure access engage with issues within a committed window rather than at a best-effort pace. The multi-channel approach reflects Bright Data's enterprise customer base, which includes teams operating in different time zones with different communication preferences. Dedicated account management for enterprise clients shifts the support dynamic from reactive issue resolution to proactive partnership — account teams engage in onboarding, optimization, and capacity planning rather than only responding to problems.