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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.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
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用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
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想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
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基于 SOC 职业分类
| 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. |
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
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.
Always start with the uv script block:
# /// script
# dependencies = [
# "linkdapi",
# # Add more if needed (e.g., "rich", "pandas")
# ]
# ///
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())
When a user requests LinkedIn data:
"linkdapi", add others if needed)uv runUser: "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
To use LinkdAPI, you'll need an API key. Sign up at:
Once registered, you'll get an API key that you can use to authenticate your requests.
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"))
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 & endorsementsget_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 listingssearch_jobs(keyword, location, ...) — Search job postingsget_job_details(job_id) — Detailed job infosearch_people(keyword, title, company, ...) — Find peoplesearch_companies(keyword, industry, ...) — Find companiessearch_posts(keyword, ...) — Find postsAsyncLinkdAPI for batch operations (40x faster)return_exceptions=True in asyncio.gather() for graceful error handlingasync with) for proper resource cleanupCheck 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')}")
Full API documentation: https://linkdapi.com/docs