Token导航 LogoToken导航TokenDH.com
研究检索敏感数据clawhub未标认证来源可访问clear审计提醒

linkdapilinkdapi 搜索

Agent Skill

linkdapi 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

65,768

周安装

2,768

GitHub Stars

4

下载量

23,030
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:linkdapi(linkdapi 搜索)
来源仓库:https://github.com/foontinz/linkdapi
安装命令:
openclaw skills install linkdapi
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install linkdapi

简介

使用 LinkdAPI Python SDK 访问 LinkedIn 专业档案和公司数据。当您需要获取个人资料信息、公司数据、职位列表或在 LinkedIn 上搜索人员/职位时使用。该技能将 uv 脚本模式用于具有内联依赖项的临时 Python 脚本。

SKILL.md

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

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

94.81%
按下载量换算21,835

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills