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Linkedin API

Work with LinkdAPI Python SDK for accessing LinkedIn professional profile and company data. Use when you need to fetch profile information, company data, job listings, or search for people/jobs on LinkedIn. The skill uses uv script pattern for ephemeral Python scripts with inline dependencies.

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Work with LinkdAPI Python SDK for accessing LinkedIn professional profile and company data. Use when you need to fetch profile information, company data, job listings, or search for people/jobs on LinkedIn. The skill uses uv script pattern for ephemeral Python scripts with inline dependencies.

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

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Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

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Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 16 sections Open source page

LinkdAPI Python SDK

Python SDK for LinkdAPI โ€” professional profile and company data from LinkedIn with enterprise-grade reliability. Get your API key: https://linkdapi.com/signup?ref=K_CZJSWF

Quick Start Pattern

Use the uv script pattern for ephemeral Python scripts with inline dependencies: # /// script # dependencies = [ # "linkdapi", # ] # /// from linkdapi import LinkdAPI client = LinkdAPI("YOUR_API_KEY") profile = client.get_profile_overview("ryanroslansky") print(profile) Run with: uv run script.py This installs dependencies automatically, runs the script, and cleans up โ€” perfect for one-off tasks.

Why This Pattern

No global installs: Dependencies are managed per-script Ephemeral by design: Write, run, delete โ€” no cleanup needed Reproducible: Everything needed is in one file Fast: uv handles dependency resolution and caching

Script Header Format

Always start with the uv script block: # /// script # dependencies = [ # "linkdapi", # # Add more if needed (e.g., "rich", "pandas") # ] # ///

Common Tasks

Get profile overview: # /// script # dependencies = ["linkdapi"] # /// from linkdapi import LinkdAPI client = LinkdAPI("YOUR_API_KEY") profile = client.get_profile_overview("ryanroslansky") if profile.get('success'): data = profile['data'] print(f"{data['fullName']} - {data.get('headline', '')}") print(f"Location: {data.get('location')}") Get company info: # /// script # dependencies = ["linkdapi"] # /// from linkdapi import LinkdAPI client = LinkdAPI("YOUR_API_KEY") company = client.get_company_info(name="google") if company.get('success'): data = company['data'] print(f"{data['name']}") print(f"Industry: {data.get('industry')}") print(f"Employees: {data.get('employeeCount', 'N/A')}") Search jobs: # /// script # dependencies = ["linkdapi"] # /// from linkdapi import LinkdAPI client = LinkdAPI("YOUR_API_KEY") result = client.search_jobs( keyword="Software Engineer", location="San Francisco, CA", time_posted="1week" ) if result.get('success'): for job in result['data']['jobs'][:5]: print(f"{job['title']} at {job['company']}") Batch profile enrichment (async): # /// script # dependencies = ["linkdapi"] # /// import asyncio from linkdapi import AsyncLinkdAPI async def enrich(): async with AsyncLinkdAPI("YOUR_API_KEY") as api: profiles = await asyncio.gather( api.get_profile_overview("ryanroslansky"), api.get_profile_overview("satyanadella"), api.get_profile_overview("jeffweiner08") ) for p in profiles: if p.get('success'): print(p['data']['fullName']) asyncio.run(enrich())

Agent Workflow

When a user requests LinkedIn data: Identify the task (profile lookup, company data, job search, etc.) Write a temporary script in workspace with the uv script header Add dependencies (usually just "linkdapi", add others if needed) Import and use LinkdAPI classes Run with uv run Capture output and report to user Delete the script after use (optional)

Example Workflow

User: "Get the profile for jeffweiner08" Agent: cat > /tmp/linkdapi_query.py << 'EOF' # /// script # dependencies = ["linkdapi"] # /// from linkdapi import LinkdAPI import os client = LinkdAPI(os.getenv("LINKDAPI_API_KEY")) profile = client.get_profile_overview("jeffweiner08") if profile.get('success'): data = profile['data'] print(f"Name: {data['fullname']}") print(f"Headline: {data.get('headline', 'N/A')}") print(f"Location: {data.get('location', 'N/A')}") print(f"Company: {data.get('company', 'N/A')}") else: print(f"Error: {profile.get('message')}") EOF uv run /tmp/linkdapi_query.py rm /tmp/linkdapi_query.py

Getting an API Key

To use LinkdAPI, you'll need an API key. Sign up at: ๐Ÿ”— https://linkdapi.com/signup?ref=K_CZJSWF Once registered, you'll get an API key that you can use to authenticate your requests.

Authentication

Set the API key as an environment variable: export LINKDAPI_API_KEY="your_api_key_here" Use it in scripts: import os from linkdapi import LinkdAPI client = LinkdAPI(os.getenv("LINKDAPI_API_KEY"))

Profiles

get_profile_overview(username) โ€” Basic profile info get_profile_details(urn) โ€” Detailed profile data get_contact_info(username) โ€” Email, phone, websites get_full_profile(username=None, urn=None) โ€” Complete profile get_full_experience(urn) โ€” Work history get_education(urn) โ€” Education history get_skills(urn) โ€” Skills & endorsements

Companies

get_company_info(company_id=None, name=None) โ€” Company details company_name_lookup(query) โ€” Search by name get_company_employees_data(company_id) โ€” Employee stats get_company_jobs(company_ids) โ€” Job listings

Jobs

search_jobs(keyword, location, ...) โ€” Search job postings get_job_details(job_id) โ€” Detailed job info

Search

search_people(keyword, title, company, ...) โ€” Find people search_companies(keyword, industry, ...) โ€” Find companies search_posts(keyword, ...) โ€” Find posts

Performance Tips

Use AsyncLinkdAPI for batch operations (40x faster) Add return_exceptions=True in asyncio.gather() for graceful error handling Use context managers (async with) for proper resource cleanup

Error Handling

Check responses and handle errors: result = client.get_profile_overview("username") if result.get('success'): data = result['data'] # Process data else: print(f"API Error: {result.get('message')}")

References

Full API documentation: https://linkdapi.com/docs

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

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Package contents

Included in package
1 Docs
  • SKILL.md Primary doc