keyapi-linkedin-company-analysis

Explore and analyze LinkedIn companies — from company profiles and employee directories to job market intelligence and content activity.

This skill provides comprehensive LinkedIn company intelligence using the KeyAPI MCP service. It enables retrieval of company profiles, employee lists, published posts, job listings with advanced filtering, job counts, and individual job details — all through a unified, cache-first workflow.

Use this skill when you need to:

• Retrieve a company's full LinkedIn profile including size, industry, and description
• Browse a company's employee directory for talent mapping or org research
• Analyze a company's published content and thought leadership activity
• Discover open job listings with filters for role type, experience level, and location
• Track job posting volume as a proxy for company growth or hiring momentum
• Retrieve detailed job descriptions including requirements and responsibilities

author: KeyAPI license: MIT repository: https://github.com/EchoSell/keyapi-skills

Prerequisites

author: KeyAPI license: MIT repository: https://github.com/EchoSell/keyapi-skills

MCP Server Configuration

All tool calls in this skill target the KeyAPI LinkedIn MCP server:

Server URL : https://mcp.keyapi.ai/linkedin/mcp
Auth Header: Authorization: Bearer $KEYAPI_TOKEN

Setup (one-time):

# 1. Install dependencies
npm install

# 2. Set your API token (get one free at https://keyapi.ai/)
export KEYAPI_TOKEN=your_token_here

# 3. List all available tools to verify the connection
node scripts/run.js --platform linkedin --list-tools

author: KeyAPI license: MIT repository: https://github.com/EchoSell/keyapi-skills

Analysis Scenarios

author: KeyAPI license: MIT repository: https://github.com/EchoSell/keyapi-skills

Workflow

Step 1 — Identify Analysis Targets and Select Nodes

Clarify the research objective and map it to one or more nodes. Typical entry points:

• Company overview: Use get_company_profile with company (name) or company_id.
• Hiring intelligence: Use get_company_jobs with filters, then get_job_detail for specific roles.
• Growth signals: Use get_company_job_count to track hiring volume over time.
• Content audit: Use get_company_posts with sort_by: "recent" or "top".
• Org research: Use get_company_people to browse the employee directory.

Company Identifier: company vs. company_id

get_company_profile accepts either:

• company — the company's URL slug (e.g., rapidapi from https://www.linkedin.com/company/rapidapi). Resolves in a single request.
• company_id — the numeric internal ID. Using company_id costs 1 additional internal request.

All other company nodes (get_company_people, get_company_posts, get_company_jobs, get_company_job_count) require company_id. Call get_company_profile first with the company slug to obtain the company_id.

get_job_detail Identifier

get_job_detail requires a job_id — the numeric ID found in the job listing URL (e.g., https://www.linkedin.com/jobs/view/1234567890 → job_id: "1234567890"). Obtain it from get_company_jobs response data.

Step 2 — Retrieve API Schema

Before calling any node, inspect its input schema to confirm required parameters and available filter options:

node scripts/run.js --platform linkedin --schema \x3Ctool_name>

# Examples
node scripts/run.js --platform linkedin --schema get_company_profile
node scripts/run.js --platform linkedin --schema get_company_jobs
node scripts/run.js --platform linkedin --schema get_job_detail

Step 3 — Call APIs and Cache Results Locally

Execute tool calls and persist responses to the local cache to avoid redundant API calls.

Calling a tool:

# Single call with pretty output
node scripts/run.js --platform linkedin --tool \x3Ctool_name> \
  --params '\x3Cjson_args>' --pretty

# Force fresh data, skip cache
node scripts/run.js --platform linkedin --tool \x3Ctool_name> \
  --params '\x3Cjson_args>' --no-cache --pretty

Example — get company profile by slug:

node scripts/run.js --platform linkedin --tool get_company_profile \
  --params '{"company":"openai"}' --pretty

Example — get company jobs with filters:

node scripts/run.js --platform linkedin --tool get_company_jobs \
  --params '{"company_id":"783611","experience_level":"mid_senior","remote":"remote","job_type":"full_time","page":1}' --pretty

Example — get job detail with skills:

node scripts/run.js --platform linkedin --tool get_job_detail \
  --params '{"job_id":"1234567890","include_skills":true}' --pretty

Example — get company posts sorted by recent:

node scripts/run.js --platform linkedin --tool get_company_posts \
  --params '{"company_id":"10649600","sort_by":"recent","page":1}' --pretty

Pagination:

get_company_jobs filter reference:

Cache directory structure:

.keyapi-cache/
└── YYYY-MM-DD/
    ├── get_company_profile/
    │   └── {params_hash}.json
    ├── get_company_people/
    │   └── {params_hash}.json
    ├── get_company_posts/
    │   └── {params_hash}.json
    ├── get_company_jobs/
    │   └── {params_hash}.json
    ├── get_company_job_count/
    │   └── {params_hash}.json
    └── get_job_detail/
        └── {params_hash}.json

Cache-first policy:

Before every API call, check whether a cached result already exists for the given parameters. If a valid cache file exists, load from disk and skip the API call.

Step 4 — Synthesize and Report Findings

After collecting all API responses, produce a structured company intelligence report:

1. Company Overview — Name, industry, company size, headquarters, founding year, description, LinkedIn follower count.
2. People & Org Structure — Employee count, key roles identified, department distribution (where available).
3. Content Activity — Post frequency, top-performing content, engagement patterns, brand messaging themes.
4. Hiring Intelligence — Open role count, role distribution by function and seniority, remote vs. onsite ratio, hiring velocity signals.
5. Job Market Signals — Roles with fewer than 10 applicants (opportunity windows), easy-apply availability, date-posted distribution.
6. Actionable Insights — Growth indicators, talent demand patterns, competitive positioning signals.

author: KeyAPI license: MIT repository: https://github.com/EchoSell/keyapi-skills

Common Rules

author: KeyAPI license: MIT repository: https://github.com/EchoSell/keyapi-skills

Error Handling