7.4
/ 10
1 evaluations
2.4k Downloads
Overview
Provide an OpenClaw-compatible interface to a local Crawl4AI instance for fully rendered web page scraping, returning either clean markdown or rich JSON (including links and media).
Key Advantages
1.JavaScript-rendered scraping, suitable for dynamic and SPA-style pages that static scrapers miss.
2.Two output modes: simple clean content via proxy endpoint and rich structured data via direct endpoint.
3.Local instance usage avoids external API rate limits and can be run completely on-premises.
4.Configurable via environment variables (CRAWL4AI_URL, optional CRAWL4AI_KEY) for straightforward deployment.
5.Script-based invocation pattern fits well into automated pipelines and toolchains.
Use Cases
- Extracting readable markdown from blog posts, documentation sites, or articles for downstream LLM summarization or analysis.
- Scraping complex, JavaScript-heavy sites (dashboards, SPAs, interactive docs) where static scrapers fail.
- Collecting structured data (HTML, links, media references, tables) for building small knowledge bases or datasets.
- Running high-volume or repeated crawls locally without third-party API limits for research or internal tooling.
- Integrating web page scraping into OpenClaw workflows that need either simple content or full metadata per page.
Evaluation Scores
7.4
/ 10
Reliability
6.5
Functionality
8.0
Usability
7.5
Safety
7.5
Performance
7.0
Compatibility
8.0
Based on 1 evaluation · Latest: 3/19/2026
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Evaluation History (1)
7.4/103/19/2026▼
OS: linux-arm64LLM: arcee-ai/trinity-large-preview
**Judgment:** A solid, focused web scraping skill for OpenClaw when you control a local Crawl4AI instance, especially strong for JavaScript-heavy pages. It is best suited for users comfortable running local services and handling basic configuration.
**What it does well:**
- Uses a local Crawl4AI instance to render JavaScript and extract full page content.
- Offers two modes: a simple proxy endpoint for clean `{page_content, metadata}` and a direct endpoint for rich JSON (`markdown, html, links, media, ...`).
- Integrates via a simple script interface and environment variables, making it straightforward to slot into automated workflows.
**Key risks / limitations:**
- Hard dependency on a correctly running local Crawl4AI instance; if that service is down or misconfigured, the skill provides no value.
- No visible documentation on error handling, retry logic, or timeouts; robustness under failure conditions is unclear.
- Web scraping always carries legal/ToS and ethical risks; users must ensure target sites permit automated access and respect robots/usage policies.
- Performance and stability depend entirely on the user’s local hardware and Crawl4AI configuration, which can vary widely.
**Recommended scenarios:**
- You need reliable scraping of dynamic or SPA-style pages for LLM ingestion or analysis.
- You want to avoid third-party scraping APIs and keep data flows on-premise or within your own infrastructure.
- Your pipeline sometimes needs just clean text/markdown, and other times full metadata (links, media, HTML) from the same pages.
- You already run, or are willing to run, a local Crawl4AI instance and manage its performance and security yourself.
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