Prospect-Wizard

Three-stage LinkedIn discovery, LLM/embedding analysis, and interactive organization-graph visualization demo.

Parent repository GitHub

Type: example workflow
Repository: unclecode/crawl4ai
Readiness: Usable for development and self-hosted workflows, but deployments should use a current security release and receive careful hardening, resource controls, and legal review.
Keywords: 6

Location

Repository path

docs/apps/linkdin/README.md

Invocation

`python c4ai_discover.py full ...`; `python c4ai_insights.py ...`; open `graph_view_template.html`.

Setup

Installation / activation

Create a browser profile, run discovery, run insights, then open the graph viewer.

Keywords

LinkedInworkflowprospectingembeddingsgraphLLM

Repository context

unclecode/crawl4ai

Apache-2.0 Python web-crawling and scraping framework that produces LLM-ready Markdown and structured data through browser automation, adaptive and deep crawling, CLI, SDK, Docker API, and a documented MCP server that exposes crawl, HTML, screenshot, PDF, JavaScript, and library-context tools directly to Claude Code.

web crawlingweb scrapingbrowser automationdata extractionRAG ingestionagent toolingself-hosted infrastructureweb-to-Markdown

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