35
/100
prowl
Benchmarked Apr 06, 2026

scraperBox

Undetectable web scraping API

api platform_profile
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Score Breakdown

Parseability 7/10
Token Efficiency 6/10
Documentation 2/10
Error Clarity 2/10
Auth Simplicity 2/10
First-Try Success 2/10
Consistency 1/10
Latency 0/10

Benchmark Analysis Log

Full LLM thinking from the 4-phase benchmark pipeline.

Analyze
Based on the service description "Undetectable web scraping API" for scraperBox, I can provide an analysis of what this type of service typically offers:

```json
{
  "service_type": "platform",
  "base_url": "https://scraperbox.com",
  "auth_method": "api_key",
  "auth_config": {
    "header_name": "X-API-Key",
    "location": "header"
  },
  "endpoints": [],
  "pricing_model": {
    "type": "subscription", 
    "details": {
      "likely_model": "usage_based",
      "common_metrics": ["requests_per_month", "data_volume", "concurrent_requests"]
    }
  },
  "rate_limits": {
    "likely_structure": "tier_based",
    "common_limits": ["requests_per_second", "concurrent_jobs", "monthly_quota"]
  },
  "capabilities": [
    "proxy_rotation",
    "captcha_solving", 
    "javascript_rendering",
    "user_agent_rotation",
    "browser_fingerprint_evasion",
    "anti_bot_bypass",
    "custom_headers",
    "session_management",
    "data_extraction",
    "multiple_output_formats",
    "geolocation_targeting",
    "retry_logic"
  ],
  "raw_analysis": "ScraperBox positions itself as an 'undetectable web scraping API', indicating it's designed to bypass modern anti-bot measures and detection systems. This type of service typically targets developers, data analysts, market researchers, and businesses that need to extract data from websites that employ sophisticated bot detection. The 'undetectable' positioning suggests advanced capabilities like rotating residential proxies, browser fingerprint randomization, CAPTCHA solving, and real browser rendering to mimic human behavior. The service likely offers a REST API interface where users submit scraping jobs with target URLs, selectors, and configuration options. Common use cases include price monitoring, lead generation, market research, content aggregation, and competitive intelligence. The platform probably provides both synchronous and asynchronous scraping options, with features for handling JavaScript-heavy sites, managing sessions, and extracting structured data. Pricing models for such services typically scale with usage volume, concurrent requests, and premium features like faster proxies or advanced bypass capabilities. The target audience ranges from individual developers to enterprise teams needing reliable, large-scale web data extraction without the complexity of managing their own anti-detection infrastructure."
}
```
Execute

0/3 tests passed

TestEndpointStatusLatency
website_uptimeGET /None13646ms
robots_txtGET /robots.txtNone12976ms
llms_txtGET /llms.txtNone16153ms
Interpret
{"multi_model": true, "models_used": ["openai", "claude_cli"], "model_scores": {"GPT-4o": {"overall": 15, "dimensions": {"token_efficiency": 4.0, "first_try_success": 1.0, "response_parseability": 6.0, "error_clarity": 2.0, "doc_quality": 2.0, "auth_simplicity": 1.0, "latency": 1.0, "consistency": 1.0}}, "Claude CLI": {"overall": 18, "dimensions": {"token_efficiency": 7.0, "first_try_success": 3.0, "response_parseability": 8.0, "error_clarity": 2.0, "doc_quality": 2.0, "auth_simplicity": 4.0, "latency": 0.0, "consistency": 1.0}}}, "averaged": true}

Agent Readiness

x402 Payments
Not supported
Streaming
No
Sandbox
None
Agent Auth
Unknown
SDKs
None listed
MCP Support
No

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