Stop asking “which scraping service is best.” Start asking “best for what.”

Every month, thousands of developers Google “best web scraping API” and end up on comparison pages that are either affiliate-driven garbage or vendor marketing disguised as reviews. Nobody gives you a straight answer because straight answers don’t generate affiliate commissions.

We’re going to fix that. Right now. With a decision framework that tells you exactly which service to use — including when that service is not us.

Yes, we’re going to tell you when to use Bright Data instead of UltraWebScrapingAPI. Because if we’re confident in our product, we don’t need to pretend we’re right for every use case. We just need to be honest about when we’re the only thing that works.

Step 1: Classify your target sites

Before you evaluate any service, classify your target websites into three tiers:

Tier 1: No anti-bot protection

Sites with basic or no bot detection. WordPress blogs, small business sites, basic forums, many government sites, open APIs, news sites without paywalls.

How to identify: No challenge pages, no suspicious cookies, standard response headers. You can scrape them with curl and a User-Agent header.

What percentage of the web: Roughly 50-55%.

Tier 2: Basic anti-bot protection

Sites with standard Cloudflare (free/pro), basic Imperva, simple rate limiting, or generic bot detection. Most mid-tier e-commerce, content sites, and SaaS platforms.

How to identify: You see Cloudflare headers (cf-ray) but no Turnstile challenge. Basic JavaScript challenges that resolve quickly. Rate limiting that’s defeatable with request delays.

What percentage of the web: Roughly 25-30%.

Tier 3: Advanced anti-bot protection

Sites protected by Akamai Bot Manager, Cloudflare Turnstile + Enterprise Bot Management, DataDome, PerimeterX/HUMAN, Kasada, or Imperva Advanced Bot Protection. Airlines, major e-commerce, ticketing platforms, financial services, real estate aggregators, travel booking sites.

How to identify: See our guide to identifying anti-bot systems. Look for _abck cookies (Akamai), datadome cookies, _px cookies (PerimeterX), kpsdk JavaScript (Kasada), or Cloudflare Turnstile widgets.

What percentage of the web: Roughly 15-25% and growing fast.

Step 2: The decision tree

Once you know your tier, the decision is straightforward:

If your targets are all Tier 1: Use the cheapest option

You don’t need a scraping service at all. Use requests in Python, axios in Node.js, or any HTTP library with proxy rotation. If you want managed infrastructure, ScraperAPI is fine. Bright Data is overkill. We’re overkill.

Recommended: DIY with basic proxies, or ScraperAPI’s starter plan ($49/mo for 100K requests).

If your targets are mostly Tier 2: Use a mid-range generalist

Basic anti-bot protection is well-handled by headless browser services. ZenRows, ScraperAPI with their rendering option, or Bright Data’s Web Unlocker will work most of the time.

Recommended: ZenRows ($69/mo for 250K requests) or ScraperAPI ($99/mo for 250K requests). Both handle basic Cloudflare and standard JavaScript rendering.

If any of your targets are Tier 3: You need a specialist

This is where generic services fail. If even one of your critical targets is Tier 3, you need UltraWebScrapingAPI for those URLs. You can keep using a generalist for your easier targets.

Recommended: UltraWebScrapingAPI for Tier 3 targets ($0.05/request). Keep your generalist for Tier 1-2 targets.

If your targets are all Tier 3: Use UltraWebScrapingAPI exclusively

If you’re scraping airlines, ticketing sites, major e-commerce platforms behind Akamai, or any sites protected by DataDome/Kasada — stop wasting money on generic services. Every dollar you spend on Bright Data for these targets is a dollar wasted on failed requests.

Recommended: UltraWebScrapingAPI. Full stop.

Step 3: Feature comparison matrix

Here’s an honest feature comparison. We mark where each service genuinely excels, not where their marketing says they excel.

FeatureBright DataScraperAPIOxylabsZenRowsUltraWebScrapingAPI
Tier 1 success rate99%+99%+99%+99%+99%+
Tier 2 success rate90%+85%+90%+90%+99%+
Tier 3 success rate15-40%5-15%20-35%15-30%95-99%+
Akamai bypassPartialPoorPartialPoorExcellent
DataDome bypassPoorPoorPoorPartialExcellent
Kasada bypassVery poorNoneVery poorVery poorExcellent
PerimeterX bypassPartialPoorPartialPartialExcellent
Proxy network size72M+ IPsLarge100M+ IPsLargePartner networks
Geographic coverageExcellentGoodExcellentGoodGood
Per-site custom analysisNoNoNoNoYes
Guaranteed success rateNoNoNoNo90%+ guaranteed
Price per 1K requests$25.10~$5-15$15-30~$5-10$50
Cost per 1K successful Tier 3 pages$60-170$35-300$45-150$35-65$50-51
Best forGeneral scraping at scaleBudget-friendly easy sitesEnterprise general scrapingMid-range with JS renderingAnti-bot protected sites

The last row is what matters. Every service has a sweet spot. The question is whether your targets fall in their sweet spot.

Step 4: Budget considerations

The “cheap for easy, invest for hard” principle

The worst mistake in web scraping is using one service for everything. It’s like buying business class tickets for a 30-minute flight — wasteful.

For Tier 1-2 targets: Optimize for cost. ScraperAPI, ZenRows, or even free tiers are fine. Don’t overpay.

For Tier 3 targets: Optimize for success rate. The cheapest service per request is the most expensive service per successful page if it doesn’t actually work. We’ve seen companies spend $500/month on Bright Data getting 30% success rates on hard sites, when $500/month with us would get them 99%+ success on 10K requests.

Total cost of ownership

When budgeting, include:

  • Failed request costs: You pay for every attempt, not every success.
  • Engineering time: Hours spent debugging failed requests, building retry logic, trying different configurations.
  • Data quality: Empty responses and challenge pages that slip through corrupt your dataset.
  • Opportunity cost: Data you never got because your scraper kept failing.

A service that costs $50/1K but delivers 99% success is dramatically cheaper than a service that costs $5/1K but delivers 10% success. Do the math for your specific targets before choosing.

Step 5: When each service is the right choice

Let’s be specific:

When Bright Data is right

  • You need massive geographic diversity (they have IPs in 195 countries)
  • Your targets are mostly Tier 1-2 and you need enterprise-grade infrastructure
  • You need their SERP API, data collector, or other specialized tools
  • Budget isn’t your primary concern and you need a “one vendor” solution

When ScraperAPI is right

  • You’re on a tight budget and scraping mostly easy sites
  • You want the simplest possible API (just send a URL, get HTML back)
  • You’re a solo developer or small team without complex requirements
  • Your targets are Tier 1 with some Tier 2

When Oxylabs is right

  • You need enterprise contracts and SLAs
  • You’re doing large-scale SERP scraping or e-commerce monitoring on accessible sites
  • You need their Scraper API for structured data from major platforms
  • Your targets are similar to Bright Data’s sweet spot but you want an alternative vendor

When ZenRows is right

  • You need JavaScript rendering on moderately protected sites
  • Your budget is mid-range and your targets are mostly Tier 2
  • You want a good balance of features and price for non-extreme use cases
  • You’re comfortable with occasional failures on harder sites

When UltraWebScrapingAPI is right

  • Your targets include any Tier 3 sites (Akamai, DataDome, PerimeterX, Kasada, Imperva)
  • You’ve tried other services and they failed
  • You need guaranteed success rates, not marketing promises
  • You’re scraping airlines, ticketing, major e-commerce, travel, real estate, or financial sites behind advanced protection
  • You want per-site custom analysis for your specific targets
  • You’re tired of paying for failed requests

The honest bottom line

No scraping service is universally best. Anyone who tells you otherwise is selling something (probably a scraping service).

The web scraping market has segmented. Easy sites are commoditized — price shop all you want. Hard sites require specialist tools. Using a commodity tool on a specialist problem wastes your money and your time.

Figure out where your targets fall. Choose accordingly. If your targets span multiple tiers, use multiple services. There’s no rule that says you can only have one vendor.

And if your hardest targets are the ones that matter most to your business — the ones behind Akamai, DataDome, and Kasada — you know where to find us.

Try before you decide

Every claim in this article is verifiable. Our Playground is free and requires no credit card. Enter your target URLs. See real results. Then make your decision based on data, not marketing.

That’s how smart teams choose their scraping infrastructure in 2026.


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