linkdapi

What This Skill Does

The linkdapi skill provides OpenClaw agents with the capability to interface with the LinkdAPI Python SDK, enabling automated retrieval of professional LinkedIn data. By utilizing the uv script execution pattern, the skill ensures that Python dependencies are managed ephemerally, providing a sandboxed and clean environment for fetching profile summaries, detailed company information, and targeted job search results. It is designed for developers and data analysts who need enterprise-grade reliability when parsing LinkedIn data for professional research, recruiting pipelines, or market analysis. The skill supports both synchronous and asynchronous operations, allowing for high-throughput batch processing of profile data.

Installation

To integrate this skill into your agentic workflow, use the standard OpenClaw installation command: clawhub install openclaw/skills/skills/foontinz/linkdapi Ensure that you have an active LinkdAPI key configured, as the SDK requires authentication to communicate with the service provider.

Use Cases

• Market Research: Aggregate industry data, employee counts, and company growth trends for competitive analysis.
• Recruitment Automation: Automatically search for candidates by keywords and locations to populate talent pipelines.
• Lead Generation: Enrich professional contact data by fetching profile headlines, summaries, and career histories.
• Professional Networking: Stay updated on career movements or job openings within specific sectors using targeted keyword-based searches.

Example Prompts

1. "Find the top 5 software engineering job openings in Seattle posted within the last week using LinkdAPI."
2. "Get the current company information for Google and summarize their primary industry and employee count."
3. "Fetch the profile overviews for these three industry leaders: ryanroslansky, satyanadella, and jeffweiner08, and print their full names and headlines."

Tips & Limitations

• Rate Limiting: Always monitor your API key usage to avoid service interruptions. Use the asynchronous pattern when performing bulk lookups to remain efficient.
• Data Privacy: Ensure that all data retrieved is handled in compliance with privacy regulations and the LinkedIn Terms of Service.
• Ephemeral Patterns: Leverage the provided uv script header format to keep your environment lightweight. Avoid installing unnecessary global dependencies; let the script handle its own dependencies list to ensure reproducibility.