How do I choose between different web scraping APIs?

Choosing a web-scraping API is less about finding the “best” provider and more about matching the API to what you scrape, how difficult those sites are, and what output you need.

1. Start with your workload

If you need…	Prioritize…
Simple static HTML	Low cost, high throughput
JavaScript-heavy sites	Browser rendering
Sites with strong anti-bot systems	Proxy/anti-bot coverage and measured success rate
Clean text for LLM/RAG	Markdown extraction
Structured product/listing data	Schema-based extraction
Whole-site crawling	Crawl/discovery features
Full browser automation	Playwright/Puppeteer-compatible browser API
Millions of pages/month	Concurrency, predictable pricing, and volume discounts

Modern APIs increasingly combine fetching, rendering, proxy rotation, extraction, and crawling, so you're really choosing how much infrastructure you want the vendor to own. PageCrawl+1

2. Don't compare headline prices

A "$X per 1,000 requests" comparison can be misleading. A basic HTTP request may be cheap while JavaScript rendering, residential IPs, CAPTCHA handling, screenshots, or structured extraction consume additional credits.

Calculate:

effective cost = total monthly spend ÷ successful, usable pages

That's much more meaningful than cost per API request.

Also measure cost per successful extraction, because a $1/1,000-page service that succeeds 50% of the time can effectively be more expensive than a $2/1,000-page service with much higher success.

3. Test against your actual targets

This is probably the most important step.

Take perhaps 100–500 representative URLs and run the same workload through 2–4 candidates. Measure:

• Successful pages
• Correctness of extracted data
• P50/P95 latency
• JavaScript rendering success
• Blocks/CAPTCHAs
• Geographic targeting
• Concurrent throughput
• Cost per successful page
• Frequency of failures over several days

Independent 2026 benchmarks show substantial differences between providers on difficult anti-bot targets, reinforcing why vendor marketing numbers shouldn't be your only criterion. Web Scraping+1

4. Match providers to use cases

A reasonable shortlist to investigate:

• Firecrawl — particularly attractive for AI/RAG workflows where you want clean Markdown, JSON, crawling, and web data in an LLM-friendly form. Firecrawl+1
• Zyte API — worth considering for large-scale extraction where you want the service to automatically select fetching/rendering technology and provide structured extraction. Zyte Docs+1
• Bright Data / Oxylabs — worth evaluating when difficult targets, geographic coverage, and enterprise-scale infrastructure are important.
• Apify — attractive when you want a broader automation platform and reusable/custom scrapers rather than just a single scraping endpoint.
• ScrapingBee / ScraperAPI / ZenRows — useful candidates when you want a relatively straightforward managed scraping API without building the infrastructure yourself.
• Browserless — particularly interesting if your main requirement is a hosted browser and you already use Playwright/Puppeteer-style automation. Browserless

These aren't universal rankings—the right choice can change dramatically depending on your target sites.

5. Decide whether you need an API at all

There's an important architectural choice:

Managed scraping API → fastest to launch, less infrastructure, higher ongoing vendor cost.

Proxy + your own Playwright/Scrapy → more engineering and maintenance, but substantially more control and potentially better economics at high volume.

The break-even point depends on engineering salaries, request volume, proxy costs, browser infrastructure, and how frequently target sites change—not just API pricing. Aethyn

My practical decision rule

I'd use this sequence:

1. Identify 3–5 representative target sites → 2. Define the exact data/output you need → 3. Shortlist 3 providers → 4. Run the same benchmark against all three → 5. Calculate cost per successful page → 6. Stress-test at your expected concurrency → 7. Only then sign a long-term contract.

And don't forget compliance: check the site's terms, robots directives, applicable privacy/data-protection rules, and whether an official API or licensed dataset is available before scraping.

If you tell me what sites you're scraping, approximate pages/month, whether they use JavaScript/Cloudflare, and whether you want HTML, Markdown, or structured JSON, I can narrow this down to 2–3 APIs and give you a concrete comparison.