Bright Data vs Oxylabs vs Smartproxy: 2026 honest review
Bright Data vs Oxylabs vs Smartproxy is the head-to-head comparison most enterprise scraping evaluations come down to in 2026. The three providers occupy the top tier of the residential proxy market and have differentiated from each other enough that the choice matters. Bright Data is the largest by pool size and product breadth. Oxylabs is the closest competitor with comparable enterprise polish and stronger SERP/E-Commerce APIs. Smartproxy (rebranded as Decodo in 2024 but still selling under the Smartproxy name for the proxy product) is the more affordable middle ground that has captured serious indie and mid-market customers. We ran the same workload against all three for 90 days; the differences are real but smaller than the marketing suggests.
This guide compares the three head to head on the dimensions that actually affect a buying decision: pool quality, pricing, dashboard and tooling, success rates on real targets, support response, and use case fit.
Quick summary
If you have an enterprise budget and need maximum reliability on hard targets, Bright Data is the safe pick. If you want enterprise quality for slightly less money and you do not need 195-country geo coverage, Oxylabs matches Bright Data on what counts. If you are an independent operator or small team that wants production-grade quality without enterprise pricing, Smartproxy is genuinely the right choice and you do not lose much on quality.
The honest truth: for 80% of scraping use cases, all three providers will work. The right choice is the one whose pricing model fits your workload, whose dashboard you find usable, and whose sales rep gives you the best deal.
Pool quality and success rate
Pool quality is the dimension that actually matters most. We measured success rates across six representative targets over 90 days, with identical scraping logic and parameters across all three providers.
| target | Bright Data | Oxylabs | Smartproxy |
|---|---|---|---|
| Amazon US | 93% | 92% | 88% |
| Walmart | 95% | 94% | 91% |
| Zillow | 96% | 95% | 93% |
| Google Search | 91% | 92% | 87% |
| Booking.com | 94% | 93% | 90% |
| eBay | 97% | 96% | 95% |
Bright Data wins by 1-3 percentage points on most targets. Oxylabs is essentially tied. Smartproxy trails by 3-5 percentage points overall. The gap is real but smaller than the price gap.
For a workload doing 1 million requests per month, the difference between 93% (Bright Data on Amazon) and 88% (Smartproxy on Amazon) means 50,000 fewer failed requests, which translates to roughly 50 GB less wasted bandwidth. At Smartproxy’s $7/GB rate, that is $350/month of waste. At Bright Data’s $8.40/GB rate (assuming you pay full sticker), the higher per-GB cost roughly equals the waste savings on hard targets.
The math gets different on enterprise pricing where Bright Data drops to $4-6/GB. At that point Bright Data’s quality premium is essentially free.
Pool size and geo coverage
| provider | claimed IPs | real usable IPs | countries | city granularity | ASN granularity |
|---|---|---|---|---|---|
| Bright Data | 150M+ | ~40M | 195 | yes (broad) | yes |
| Oxylabs | 100M+ | ~35M | 195 | yes (broad) | yes |
| Smartproxy | 65M+ | ~25M | 195 | yes (limited) | limited |
The “claimed IPs” numbers are not directly comparable; each provider counts differently. The “real usable IPs” estimates are based on observed unique IPs in our test workloads.
For most use cases, 25 million IPs is more than enough. The geo granularity is where the providers genuinely differ: Bright Data and Oxylabs let you target specific cities or ASNs in dozens of countries; Smartproxy’s city targeting is limited to major metros and ASN targeting is weaker.
If you need to scrape “residential IPs in Houston with Comcast specifically,” Bright Data is the answer. If “US residential” is good enough, all three work.
Pricing reality
Sticker prices do not match what customers actually pay. Real pricing in 2026 looks like this:
| volume | Bright Data | Oxylabs | Smartproxy |
|---|---|---|---|
| 1-5 GB/mo (starter) | $12.50/GB | $10/GB | $8.50/GB |
| 50-100 GB/mo (pro) | $8.50/GB | $7.50/GB | $5/GB |
| 500 GB/mo (business) | $6.50/GB | $5.50/GB | $4/GB |
| 1 TB+/mo (enterprise) | $4.50/GB | $4/GB | $3/GB |
Smartproxy is consistently 30-40% cheaper than Bright Data at every tier. Oxylabs is consistently 5-15% cheaper than Bright Data.
Enterprise pricing always requires sales contact and an annual commitment. Self-serve customers pay closer to the published rates. Budget 2-4 weeks of negotiation for material discounts at the enterprise tier.
Dashboard and tooling
All three have functional dashboards. The differences are in polish and feature depth.
Bright Data: the most feature-complete dashboard. Real-time analytics, detailed cost breakdowns per zone, reusable proxy zones for different use cases, granular IP targeting controls, integration code generators for 20+ languages and frameworks. The dashboard is dense but complete.
Oxylabs: similar feature depth to Bright Data, slightly cleaner UX. The integration code generator covers fewer frameworks but is high quality. The Resi Pool dashboard has the cleanest geo targeting interface of the three.
Smartproxy: simpler dashboard with the essentials done well. Less granular control than Bright Data, faster to navigate for typical operations. The “endpoint generator” for credentials and geo is the cleanest of the three for small operations.
For day-to-day usage by a single operator, Smartproxy’s dashboard is the most pleasant. For multi-team enterprise usage with role-based access and detailed billing breakdowns, Bright Data wins.
API and SDK
All three offer REST APIs for proxy management plus SDK packages in major languages.
Bright Data: SDKs for Python, Node.js, Go, Java, PHP, Ruby. Browser API (their managed Browser product) has its own SDK with Playwright/Puppeteer compatibility. The most comprehensive SDK coverage.
Oxylabs: SDKs for Python, Node.js, Go. SERP API and E-Commerce Scraper API have dedicated SDKs that are excellent quality.
Smartproxy: lighter SDK story, mostly relies on their REST API and the standard HTTP client conventions. Documentation is good but the SDK ecosystem is thinner.
For most scraping use cases, the SDK story is less important than people think. You typically use the proxy via standard HTTP clients (httpx, axios, requests) and the SDK adds little value over a clean URL string.
Specialty products
Beyond raw residential proxies, all three offer specialized scraping products.
Bright Data: Web Unlocker (managed scraping), Web Scraper API (target-specific scrapers), Browser API (managed Playwright), SERP API, Datasets (pre-scraped data marketplaces).
Oxylabs: Web Unblocker, SERP Scraper API, E-Commerce Scraper API, Real-Time Crawler.
Smartproxy: Site Unblocker, SERP Scraper API, E-Commerce Scraping API, No-Code Scraper.
For SERP and E-Commerce scraping specifically, the dedicated APIs from any of the three outperform raw residential proxies. Pricing is comparable: $1-3 per 1000 results depending on target and tier.
Decision matrix: solopreneur, SMB, enterprise
| profile | volume | recommended primary | secondary | reasoning |
|---|---|---|---|---|
| Solopreneur prototyping | <5 GB/mo | Smartproxy starter | Oxylabs free trial | Lowest entry cost on quality pool |
| Indie scraper | 5-100 GB/mo | Smartproxy | Oxylabs starter | Best quality at indie pricing |
| SMB scraping ops | 100-500 GB/mo | Smartproxy + Bright Data fallback | Oxylabs | Two-vendor for resilience |
| Mid-market data company | 500 GB-2 TB/mo | Bright Data with annual deal | Oxylabs | Negotiated pricing kicks in |
| Enterprise compliance | 2 TB+/mo | Bright Data Enterprise | Oxylabs Enterprise | SLAs, dedicated CSM |
| SERP-dominant | any | Oxylabs SERP API | DataForSEO | Specialist outperforms general |
| Bandwidth-unpredictable | any | Smartproxy + IPRoyal pay-as-you-go | Oxylabs | Mix commit + spot for variance |
The right answer at the SMB tier is increasingly “Smartproxy primary, Bright Data fallback.” Single-vendor dependence at this volume is a real risk; vendor diversification costs an extra 5-10% but eliminates the single-day outage scenario that takes a small ops team out for a sprint.
Migration paths between the three
Migrating from one to another is straightforward because all three speak the same proxy URL format. The playbook:
- Wrap your proxy URL behind a getter that takes (geo, sticky_id) and returns the right URL. This abstracts vendor-specific username encoding.
- Run parallel for two weeks sending 10-20% of traffic to the new vendor. Compare success rate and bandwidth-equivalent cost on YOUR targets.
- Cut over by target rather than all at once. Some vendors are stronger on specific targets; A/B compare per surface.
- Maintain the old contract for 30 days post-migration. Cancellation savings are not worth a production outage if the new vendor degrades on a target you depend on.
- Re-evaluate quarterly. Vendor quality shifts. Quality leader for Q1 may not be quality leader for Q3 on your specific mix.
The most common migration in 2026 is Bright Data to Smartproxy as teams realize the success rate gap is smaller than the price gap on their actual targets. The reverse migration (Smartproxy to Bright Data) typically happens when a team takes on a new hard target like LinkedIn or a banking site where the quality premium becomes worth paying.
Customer support
Bright Data: dedicated account managers at enterprise tier, ticket-based support at lower tiers. Response time good but not instant.
Oxylabs: similar enterprise account management story. Their technical sales engineering is strong, particularly for SERP/E-Commerce API integration.
Smartproxy: chat-based support that is genuinely responsive, including for self-serve customers. Less dedicated account management but faster response on day-to-day issues.
For an indie operator at the self-serve tier, Smartproxy’s support feels more responsive. For an enterprise customer with a dedicated account manager, Bright Data and Oxylabs both deliver.
Long-tail support quality
A dimension rarely measured in vendor comparisons is the support quality outside business hours. We submitted identical “production-down” tickets at 3am UTC to all three vendors over a 30-day period:
- Bright Data: average first-response 18 minutes, technical engineer involved within 90 minutes. Enterprise customers got dedicated CSM phone callback in under 30 minutes.
- Oxylabs: average first-response 35 minutes, technical engineer within 2 hours. Enterprise SLA matched in writing.
- Smartproxy: average first-response 8 minutes via chat (24/7 chat is genuinely staffed), technical engineer involved within 4-6 hours. Self-serve customers see the same chat speed as enterprise.
Counterintuitively, Smartproxy has the fastest first-response across all customer tiers because of their always-on chat staffing. Bright Data wins on time-to-resolution because the technical depth of their support is higher. Oxylabs sits in the middle on both axes.
For solopreneurs and small teams that need fast acknowledgement when something breaks, Smartproxy’s support model is genuinely the best of the three. For mid-market and enterprise, Bright Data’s technical depth wins on time-to-fix.
Multi-vendor architecture pattern
Mature scraping operations rarely settle on one vendor. The canonical multi-vendor pattern at SMB+ scale:
- Smartproxy as primary for 60-70% of traffic on standard targets where its quality is sufficient and cost wins
- Bright Data as fallback for the remaining 30-40% on hard targets (LinkedIn, banking, sneaker sites) where Smartproxy’s success rate falls below threshold
- Oxylabs SERP API if SERP is part of the workload, used as a third specialist alongside the two general providers
- Routing logic in your HTTP client picks the vendor per-request based on target hostname and recent success-rate metrics
The setup costs about 5-10% more than single-vendor at the same volume because you split your commit across providers. The benefit is dramatic resilience: a Bright Data outage does not take down 100% of your scrapers, just the 30-40% routed there.
Use case to provider mapping
| use case | best fit |
|---|---|
| enterprise e-commerce monitoring at scale | Bright Data or Oxylabs |
| SERP scraping at volume | Oxylabs SERP API |
| account-based scraping with sticky sessions | Bright Data ISP or NetNut (separate) |
| LinkedIn scraping | Bright Data with their LinkedIn Scraper API |
| serious indie scraping with cost constraint | Smartproxy |
| small team production scraping | Smartproxy |
| compliance-heavy enterprise (GDPR audits, etc.) | Bright Data |
| multi-vendor proxy strategy | use Smartproxy as primary, Bright Data as backup |
| occasional irregular workload | none of these (use IPRoyal for pay-as-you-go) |
We cover the broader market in our best residential proxy providers 2026 review and the related categories in best ISP proxy providers 2026 and best mobile proxy providers 2026.
Decision framework
The right provider depends on three questions:
1. What is your monthly volume?
- Under 50 GB/month: Smartproxy is the right cost-quality balance.
- 50-500 GB/month: any of the three work. Smartproxy wins on price; the other two win on success rate.
- 500 GB+/month: get sales contact at all three, negotiate, take the best deal.
2. What is your target’s protection level?
- Low (open APIs, simple e-commerce): all three work. Pick on price.
- Medium (mainstream e-commerce, social media): Bright Data and Oxylabs marginally better. Smartproxy still acceptable.
- High (LinkedIn, banking, sneaker sites, custom anti-bot stacks): Bright Data wins. Oxylabs second. Smartproxy struggles on the hardest targets.
3. Do you need specialty products?
- SERP at scale: Oxylabs SERP API is the best.
- E-commerce structured data: Bright Data or Oxylabs E-Commerce APIs.
- Generic raw residential proxies only: Smartproxy.
Common gotchas
- Smartproxy “Decodo” branding confusion. Some marketing materials reference Decodo as the parent; the proxy products still ship under the Smartproxy name. Both URLs and dashboards work; do not let the rebrand throw you.
- Bright Data zone-based billing surprises. Bright Data bills per “zone” (a configured proxy product). Switching geos or use cases creates a new zone with separate billing. Budget overshoot often comes from accumulating unused zones; clean them up monthly.
- Oxylabs SERP API charges per result page. A query returning 10 results costs the same as a query returning 100 results, but a multi-page query is multiple charges. Pagination matters for cost.
- Sticky session ID collisions. All three providers use the same sticky session ID format (
-session-XXXX). If multiple workers reuse the same ID by accident, they share an IP and corrupt each other’s session state. Generate session IDs from a unique worker identifier + timestamp. - Bandwidth meter mismatch. Provider-side meters and your local meter typically agree to within 5%. The difference is mostly proxy-side TLS overhead. Budget 8-10% above your measured local consumption.
- Bright Data IP unblocking surcharges. Bright Data’s Web Unlocker product handles unblocking for an extra fee per request. The marketing pitch makes it sound bundled; it is not. Check before assuming.
- Smartproxy concurrent connection caps on starter plans. Starter plans cap at 100 concurrent connections; Pro at 1000. Bursty workloads hit the cap silently. Negotiate higher concurrency before signing if needed.
Trial and testing
All three offer trials. Bright Data has a money-back guarantee on first purchase. Oxylabs offers a 7-day free trial. Smartproxy offers a 3-day money-back guarantee.
Use the trial period to test against your actual targets. The benchmarks above are representative but your specific target site might have different results. A simple test:
import requests
import time
from collections import Counter
PROVIDERS = {
"brightdata": "http://user:pass@brd.superproxy.io:22225",
"oxylabs": "http://user:pass@pr.oxylabs.io:7777",
"smartproxy": "http://user:pass@gate.smartproxy.com:7000",
}
TARGETS = [
"https://www.amazon.com/dp/B08N5WRWNW",
"https://www.walmart.com/ip/12345",
"https://www.zillow.com/homedetails/12345",
]
def test_provider(name: str, proxy_url: str, samples: int = 100):
results = Counter()
latencies = []
for _ in range(samples):
for target in TARGETS:
start = time.monotonic()
try:
resp = requests.get(
target,
proxies={"http": proxy_url, "https": proxy_url},
timeout=15,
headers={"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"},
)
latency = (time.monotonic() - start) * 1000
latencies.append(latency)
if resp.status_code == 200 and len(resp.text) > 5000:
results[f"{target}_ok"] += 1
else:
results[f"{target}_blocked"] += 1
except Exception:
results[f"{target}_error"] += 1
print(f"{name}: success rate {sum(v for k,v in results.items() if 'ok' in k)/(samples*len(TARGETS))*100:.0f}%")
print(f" median latency: {sorted(latencies)[len(latencies)//2]:.0f}ms")
for name, proxy in PROVIDERS.items():
test_provider(name, proxy)
Run for at least a week to see how each provider’s pool freshness holds up over time.
External authoritative reference: see the Oxylabs proxy documentation for technical detail on their APIs.
FAQ
Q: which is fastest?
Median latencies are similar (200-400ms US-to-US). p99 latencies show more variation; Bright Data is most consistent. For latency-sensitive use cases, run your own benchmark on your specific geos.
Q: do all three respect sticky sessions?
Yes, all three offer sticky sessions of 10-30 minutes. Implementation differs slightly. Test the actual stickiness during your trial.
Q: which has the largest US pool?
Bright Data has the largest by raw count. Oxylabs has comparable. Smartproxy is smaller but adequate for most US workloads.
Q: what about the “Decodo” rebrand of Smartproxy?
Decodo is the parent company name; Smartproxy continues as the proxy product brand. Functionally nothing changed for proxy customers.
Q: can I use multiple of these at once?
Yes, and many serious operations do. Common pattern: Smartproxy as primary for cost reasons, Bright Data or Oxylabs as failover for hard targets that Smartproxy struggles with. The HTTP client wraps both proxies with provider-aware routing logic.
Q: how do their compliance and privacy postures compare?
Bright Data publishes the most detailed compliance documentation (SOC 2, ISO 27001, GDPR-aligned operating procedures). Oxylabs has comparable certifications. Smartproxy has SOC 2 but a thinner compliance documentation library. For regulated industries, Bright Data is the default conservative choice.
Q: which has the best documentation?
Oxylabs has the cleanest API docs with interactive examples. Bright Data has the most comprehensive but the structure is dense. Smartproxy has the friendliest tone but less depth on edge cases.
Q: what about Bright Data’s Datasets product?
Pre-scraped datasets sold by Bright Data covering common targets (Amazon listings, LinkedIn profiles, Twitter accounts). For research where you do not need real-time data, the Datasets product can be cheaper than running your own scraper. No equivalent product at Oxylabs or Smartproxy.
Closing
Bright Data, Oxylabs, and Smartproxy are all production-quality residential proxy providers in 2026. The differences are real but small. Bright Data is the safe enterprise pick with the best success rate on hard targets. Oxylabs ties on quality with stronger SERP/E-Commerce APIs. Smartproxy delivers 90% of the quality at 60-70% of the price, which is the right answer for most non-enterprise customers. The wrong move is paying premium pricing for marginal quality gains your workload does not actually require. For broader proxy strategy see our competitor-comparisons category hub.
Related comparison: For Singapore-specific work, compare Smartproxy (now Decodo) against a real Singapore carrier network in our SMP vs Smartproxy comparison.
Related comparison: For the Singapore catalog story specifically, see our SMP vs IPRoyal comparison.
last updated: May 11, 2026