Comparing web scraping APIs is harder than it should be. Different pricing models (credits vs per-GB vs compute units), inconsistent feature naming, and inflated success rate claims make it nearly impossible to do an apples-to-apples evaluation.
This guide cuts through the noise. We compare the nine major scraping APIs on pricing, features, performance, and developer experience — using real numbers, not marketing copy.
Key Takeaways
- Credit-based APIs (ScraperAPI, ScrapingBee, ZenRows) cost $0.20-0.50 per 1,000 simple requests but charge 5-25x more for JavaScript rendering
- Per-GB APIs (Bright Data, Oxylabs) are cheapest for simple HTML but unpredictable for JS-heavy pages — a single page can cost 10-100x more depending on weight
- SearchHive uses straightforward per-request pricing with no credit math, no GB ambiguity — the most predictable cost model
- Anti-bot success rates are all self-reported — no independent benchmarks exist. Treat vendor claims (90-99%) with skepticism
- Built-in data extraction is rare — only Firecrawl, Crawl4AI, Apify, and SearchHive return structured data instead of raw HTML
Pricing Models Explained
The first thing to understand is that scraping APIs fall into four distinct pricing models. Comparing across models is like comparing rental cars by the hour vs by the mile — you need to convert to your actual usage.
Credit-Based Pricing
Services like ScraperAPI, ScrapingBee, ZenRows, and Firecrawl use credits. One credit typically equals one simple HTTP request. JavaScript rendering, CAPTCHA solving, and premium proxies cost additional credits.
The problem: Credit pricing obscures real costs. A plan advertising "250K credits/month" sounds like 250K pages, but if every page needs JS rendering at 5x credits, your effective volume drops to 50K pages.
Effective cost comparison at 10K pages/month:
| Service | Plan Cost | Effective Volume | Cost per 1K Pages |
|---|---|---|---|
| SearchHive | ~$15/mo | 10K (clear) | ~$1.50 |
| Firecrawl | $49/mo | 5K credits | ~$9.80 |
| ScrapingBee | $49/mo | ~30K credits (150K / 5x JS) | ~$1.63 |
| ScraperAPI | $49/mo | 20K (100K / 5x JS) | ~$2.45 |
| ZenRows | $49/mo | ~50K credits (250K / 5x JS) | ~$0.98 |
Per-GB Pricing
Bright Data and Oxylabs charge by bandwidth. Simple HTML pages (50-200KB) are dirt cheap. JavaScript-heavy pages with images, fonts, and assets (5-20MB) are expensive.
Example: Scraping 10K product pages at 100KB each = ~1GB = ~$4-8 on Bright Data. Scraping 10K JS-heavy pages at 10MB each = ~100GB = $400-800.
Compute-Unit Pricing
Apify uses compute units (CU), which map to CPU time, memory usage, and proxy consumption. One actor run might cost 0.1 CU or 5 CU depending on complexity. Hard to predict without testing.
Free/Open-Source
Crawl4AI costs nothing for the software, but you pay for servers (~$10-40/mo), proxies ($3-8/GB residential), and CAPTCHA solving ($0.001-0.003/solve). At scale, self-hosting can match or beat commercial pricing.
Feature Comparison Matrix
| Feature | SearchHive | Firecrawl | ScrapingBee | ScraperAPI | ZenRows | Apify | Bright Data | Oxylabs | Crawl4AI |
|---|---|---|---|---|---|---|---|---|---|
| JS Rendering | Yes | Always-on | 5-25 credits | 5 credits | 5-25 credits | Via actors | Per-GB | Per-GB | Playwright |
| CAPTCHA Solving | Yes | Beta | Extra cost | Included | Included | 3rd party | Included | Included | DIY |
| Proxy Rotation | Built-in | Included | DC only | Residential | Residential | Via proxy | 72M+ IPs | 100M+ IPs | Bring own |
| Geotargeting | Country | No | Limited | Limited | Limited | Wide | 195+ countries | 195+ countries | Via proxy |
| Data Extraction | Schema-based | LLM-based | No | No | No | Structured | No | No | CSS/LLM |
| Markdown Output | Yes | Yes | No | No | No | Via actors | No | No | Yes |
| SERP Search | Built-in | No | No | No | No | Via actors | Add-on | Dedicated | No |
| Batch/Crawl | Yes | Yes | No | No | No | Scheduled | Via unlocker | Supported | Async |
| Python SDK | Yes | Yes | Yes | Basic | Yes | Yes | Yes | Yes | Native |
| Async Support | Yes | Yes | No | No | No | Yes | Via Playwright | No | Yes |
Performance: Response Times
No independent benchmarks exist for web scraping APIs. All performance data comes from vendor documentation or community reports. Your mileage will vary by target site, geographic location, and time of day.
Typical response times for a single page scrape:
| Request Type | SearchHive | Firecrawl | ScrapingBee | ScraperAPI | ZenRows | Bright Data |
|---|---|---|---|---|---|---|
| Simple HTML | 1-3s | 1-2s | 2-3s | 2-4s | 1-3s | 1-2s |
| JS Rendering | 3-8s | 3-8s | 6-12s | 8-15s | 5-10s | 5-10s |
| CAPTCHA + JS | 8-15s | N/A | 12-20s | 10-18s | 8-15s | 8-15s |
Bright Data and Oxylabs tend to have lower latency due to their massive proxy pools and edge infrastructure. Credit-based APIs route through smaller proxy networks, adding hop time.
Success Rates: What to Actually Expect
Vendor success rate claims range from 90% to 99.9%. Here's what those numbers mean in practice:
Hard targets (Google SERP, Amazon, LinkedIn, Zillow): Expect 60-85% success on first try across all services. Auto-retry features (ScraperAPI, Apify) bump this to 80-95% over 3 attempts.
Medium targets (news sites, e-commerce, blogs): Expect 85-95% on first try. Most APIs handle these reliably.
Easy targets (public APIs, government sites, static pages): Expect 95-99%. Almost anything works here.
The services with the highest first-try success on hard targets are Bright Data and ZenRows, due to their anti-bot specialization and largest proxy pools.
Developer Experience
Setup complexity matters. If integration takes three days instead of three hours, the cheap per-request cost doesn't matter.
Ranked from simplest to most complex:
- ScraperAPI — One URL parameter, no SDK required. Done.
- ZenRows — Single endpoint, clean params, good docs.
- SearchHive — Clean SDK, unified client, good docs, type hints.
- ScrapingBee — Simple REST API, solid Python client.
- Firecrawl — Modern API design, excellent SDKs.
- Crawl4AI — Python-native, but requires infra knowledge.
- Oxylabs — Multiple products, moderate complexity.
- Apify — Actor model has a learning curve but pays off.
- Bright Data — Most powerful, most complex, fragmented docs.
Best Practices for Choosing
Choose by use case, not by marketing:
- AI/RAG data pipelines → Firecrawl or Crawl4AI for markdown output
- Search + scrape combined → SearchHive's unified API
- Maximum anti-bot success → Bright Data or ZenRows
- Scheduled recurring scraping → Apify's platform
- Simple HTML extraction at volume → ScraperAPI or ScrapingBee
- Zero budget → Crawl4AI (free, but requires infrastructure)
- Enterprise with compliance needs → Bright Data or Oxylabs
Always test before committing: Run 500-1,000 requests against your actual target sites on a free tier or trial before signing up for a paid plan. Vendor claims don't reflect your specific targets.
Conclusion
The web scraping API market in 2026 has a clear gap: most services return raw HTML and leave parsing to you, charge opaque credit math, and separate search from scraping into different products.
SearchHive addresses all three — structured extraction, transparent per-request pricing, and unified search + scrape + extract in one API. Start with the free tier (100 searches/month, no credit card) and see if it fits your workflow before paying anything.
For specialized needs — maximum proxy scale (Bright Data), pre-built scrapers (Apify), or zero cost (Crawl4AI) — the alternatives above each have legitimate strengths. Pick the tool that matches your actual workload, not your imagined workload.