linkdapi – OpenClaw Skill

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name: linkdapi description: 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.

LinkdAPI Python SDK

Python SDK for LinkdAPI — 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 — perfect for one-off tasks.

Why This Pattern

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

Writing Scripts

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:

1. Identify the task (profile lookup, company data, job search, etc.)
2. Write a temporary script in workspace with the uv script header
3. Add dependencies (usually just "linkdapi", add others if needed)
4. Import and use LinkdAPI classes
5. Run with uv run
6. Capture output and report to user
7. 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:

🔗 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"))

Key API Methods

Profiles

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

Companies

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

Jobs

• search_jobs(keyword, location, ...) — Search job postings
• get_job_details(job_id) — Detailed job info

Search

• search_people(keyword, title, company, ...) — Find people
• search_companies(keyword, industry, ...) — Find companies
• search_posts(keyword, ...) — 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