Extract structured data and full-text content from URLs, videos, and documents.
npx skills add https://github.com/t0lab/harness-kit --skill crawl4ai-t0lab
Please help me install this Agent Skill. Skill: crawl4ai Source: https://github.com/t0lab/harness-kit/tree/main/packages/harness-kit/skills/crawl4ai Command: npx skills add https://github.com/t0lab/harness-kit --skill crawl4ai-t0lab
This Skill fetches and extracts content from known URLs, documents, and videos to produce clean text or structured data suitable for downstream analysis and LLM processing.
Use the crawl4ai skill to extract product name, price, and availability as JSON from https://example.com/product.
High-intent search queries and answers about installing and using this skill.
To extract structured data from JS-rendered pages, scrape the URL and use LLM-based semantic extraction to map scattered content directly into typed JSON schemas or entity lists.
Site crawling with configurable depth and page limits involves setting max_depth, max_pages, domain filtering, and include/exclude patterns to systematically extract full-text content from targeted site sections.
Yes, YouTube transcripts and metadata can be extracted directly, while PDFs and Office files like Word, Excel, and PPT are parsed and converted into clean markdown for downstream analysis.
To prevent context overflow during large web scraping extractions, configure an output_path to write large results directly to disk instead of streaming them entirely into memory.
For high-volume or privacy-sensitive web scraping, you can run the extraction engine as a self-hosted Docker service and connect via MCP SSE to maintain control over data and workloads.
LLM extraction works by applying semantic analysis to scattered web page content, transforming unstructured text into structured JSON fields based on a predefined schema or entity list.
UpstageAIGenerate JSON schemas for structured document information extraction.
aws-samplesProcess and analyze CSV, JSON, and text data files with automated cleaning and transformation.
camelranchentertainmentDevelop MCP servers and clients with TypeScript or Python SDKs.
appautomatonConverts HTML or live web pages into structured Markdown with metadata and link inventories.
