/install linkdapi
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:
- 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 \x3C\x3C '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 infoget_profile_details(urn)— Detailed profile dataget_contact_info(username)— Email, phone, websitesget_full_profile(username=None, urn=None)— Complete profileget_full_experience(urn)— Work historyget_education(urn)— Education historyget_skills(urn)— Skills & endorsements
Companies
get_company_info(company_id=None, name=None)— Company detailscompany_name_lookup(query)— Search by nameget_company_employees_data(company_id)— Employee statsget_company_jobs(company_ids)— Job listings
Jobs
search_jobs(keyword, location, ...)— Search job postingsget_job_details(job_id)— Detailed job info
Search
search_people(keyword, title, company, ...)— Find peoplesearch_companies(keyword, industry, ...)— Find companiessearch_posts(keyword, ...)— Find posts
Performance Tips
- Use
AsyncLinkdAPIfor batch operations (40x faster) - Add
return_exceptions=Trueinasyncio.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
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install linkdapi - 安装完成后,直接呼叫该 Skill 的名称或使用
/linkdapi触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Linkedin API 是什么?
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. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 2057 次。
如何安装 Linkedin API?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install linkdapi」即可一键安装,无需额外配置。
Linkedin API 是免费的吗?
是的,Linkedin API 完全免费(开源免费),可自由下载、安装和使用。
Linkedin API 支持哪些平台?
Linkedin API 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Linkedin API?
由 foontinz(@foontinz)开发并维护,当前版本 v1.0.0。