Web Reader Pro - OpenClaw Skill

Overview

Web Reader Pro is an advanced web content extraction skill for OpenClaw that uses a multi-tier fallback strategy with intelligent routing, caching, and quality assessment.

Features

1. Three-Tier Fallback Strategy

• Tier 1: Jina Reader API - Fast, reliable, best for most websites
• Tier 2: Scrapling + Playwright - Dynamic content rendering for JS-heavy sites
• Tier 3: WebFetch Fallback - Basic extraction for simple pages

2. Jina Quota Monitoring

• Tracks API call count with persistent counter
• Warning alerts when approaching quota limits
• Automatic fallback to lower-tier methods when quota exhausted

3. Smart Cache Layer

• Short-term caching (configurable TTL, default 1 hour)
• Cache key based on URL hash
• Reduces redundant API calls

4. Extraction Quality Scoring

• Scores based on: word count, title detection, content density
• Minimum quality threshold (default: 200 words + valid title)
• Auto-escalation to next tier if quality below threshold

5. Domain-Level Routing Learning

• Learns optimal extraction tier per domain
• Persists learned routes in local JSON database
• Adapts based on historical success rates

6. Retry with Exponential Backoff

• Configurable max retries per tier (default: 3)
• Exponential backoff: 1s, 2s, 4s, 8s...
• Respects rate limits and transient failures

Installation

# Install dependencies
pip install -r requirements.txt

# Install Scrapling (requires Node.js)
./scripts/install_scrapling.sh

# Or install Scrapling manually
npm install -g @scrapinghub/scrapling

Usage

Basic Usage

from scripts.web_reader_pro import WebReaderPro

reader = WebReaderPro()
result = reader.fetch("https://example.com")
print(result['title'])
print(result['content'])

Advanced Configuration

reader = WebReaderPro(
    jina_api_key="your-jina-key",      # Optional: set via env JINA_API_KEY
    cache_ttl=3600,                      # Cache TTL in seconds (default: 3600)
    quality_threshold=200,               # Min word count for quality (default: 200)
    max_retries=3,                       # Max retries per tier (default: 3)
    enable_learning=True,                # Enable domain learning (default: True)
    scrapling_path="/usr/local/bin/scrapling"  # Path to scrapling binary
)

Result Format

{
    "title": "Page Title",
    "content": "Extracted content in markdown...",
    "url": "https://example.com",
    "tier_used": "jina|scrapling|webfetch",
    "quality_score": 85,
    "cached": False,
    "domain_learned_tier": "jina",
    "extracted_at": "2024-01-01T00:00:00Z"
}

Environment Variables

API Reference

WebReaderPro.fetch(url, force_refresh=False)

Fetch and extract content from a URL.

Parameters:

• url (str): Target URL
• force_refresh (bool): Bypass cache if True

Returns: Dict with title, content, metadata

WebReaderPro.fetch_with_tier(url, preferred_tier)

Fetch using a specific tier (bypassing automatic selection).

Parameters:

• url (str): Target URL
• preferred_tier (str): "jina", "scrapling", or "webfetch"

WebReaderPro.get_jina_status()

Get current Jina API quota usage.

Returns: Dict with count, limit, percentage, warnings

WebReaderPro.clear_cache(url=None)

Clear cache for specific URL or all URLs.

Parameters:

• url (str, optional): Specific URL to clear, or None for all

WebReaderPro.get_domain_routes()

Get learned domain-to-tier mappings.

Returns: Dict of domain -> preferred tier

Tier Comparison

License

MIT