LinkedIn Company Intelligence Pro
Pricing
from $6.00 / 1,000 verified linkedin company intelligences
LinkedIn Company Intelligence Pro
Enterprise LinkedIn Company Intelligence - B2B research, competitive analysis, and investment due diligence without API keys. Government and Fortune 500 trusted.
Pricing
from $6.00 / 1,000 verified linkedin company intelligences
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0.0
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Developer
AutomateLab
Actor stats
3
Bookmarked
54
Total users
4
Monthly active users
5 days ago
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LinkedIn Company Intelligence Pro — B2B Research & Competitive Analysis
Extract firmographic data, employee counts, funding information, and competitive intelligence from LinkedIn company pages. Built for B2B sales prospecting, investment due diligence, and market research. No API key required.
Apify Store: https://apify.com/red.cars/linkedin-company-intelligence-pro Pricing: $0.08–$0.15/company event (Pay-per-event, PPE) MCP Available: Yes — 5 tools exposed for AI agent integration
What This Actor Does
LinkedIn Company Intelligence Pro extracts detailed company information from LinkedIn including firmographics, employee data, funding rounds, technology stack, and competitive positioning. It handles LinkedIn's anti-scraping measures automatically, returning clean structured JSON optimized for CRM integration and B2B intelligence pipelines.
Search intent keywords: "LinkedIn company data scraper", "B2B company research API", "firmographic data extraction", "LinkedIn company intelligence", "enterprise lookup tool"
Who It's For
- Sales teams building targeted B2B lead lists with verified company data
- Investors conducting due diligence and competitive analysis
- Recruiters researching company cultures and hiring trends
- Marketing teams segmenting markets by industry, size, and location
- AI agents automating company research for sales and investment workflows
Quick Start
# Option 1: Apify Console (no code)# Open https://apify.com/red.cars/linkedin-company-intelligence-pro# Click "Run" and configure input# Option 2: API (cURL)curl -X POST https://api.apify.com/v2/acts/red.cars~linkedin-company-intelligence-pro/runs?token=*** \-H "Content-Type: application/json" \-d '{"input": {"mode": "company_research", "companies": ["Apple", "Microsoft"], "maxResults": 10}}'# Option 3: Node.jsconst Apify = require('apify');const actor = new Apify.Actor('red.cars/linkedin-company-intelligence-pro');await actor.call({ mode: 'company_research', companies: ['Apple', 'Microsoft'], maxResults: 10 });# Option 4: MCP (AI agents) — RECOMMENDED# Configure @apify/mcp-server in your AI client# Then ask: "Research Apple, Microsoft, and Google — get employee counts, funding, and tech stack"
Smoke Test (Free, <5 seconds)
# Verify actor is available before committing to a paid runcurl -X POST https://api.apify.com/v2/acts/red.cars~linkedin-company-intelligence-pro/runs?token=*** \-d '{"input": {"companies": ["Apple"], "checkOnly": true}}'
Features
- Company profile extraction — Full firmographic data, industry, headquarters, specialties
- Employee intelligence — Headcount, leadership team, hiring trends
- Financial signals — Funding rounds, revenue indicators, growth metrics
- Competitor mapping — Related companies and market positioning
- Technology analysis — Tech stack and capability signals
- Growth indicators — Hiring trends, expansion signals, news activity
- Multi-format export — JSON, CSV, Excel, Markdown (LLM-optimized)
- Residential proxy support — 70M+ IP pool for reliable LinkedIn extraction
- Zero-result guard — No charge for empty results under PPE billing
- Compliance mode — Enhanced ethical data collection practices
MCP Tools
CRITICAL SECTION — AI agents discover and call this actor via Model Context Protocol.
Install the Apify MCP server:
$npm install -g @apify/mcp-server
Add to your MCP configuration:
{"mcpServers": {"apify": {"command": "npx","args": ["@apify/mcp-server"]}}}
Connect to Apify MCP: https://apify.actor/mcp
Tool: linkedin-company-profile
What it does: Extract detailed company profile data from LinkedIn including firmographics, industry classification, headquarters, specialties, and contact information.
Input parameters:
| Parameter | Type | Required | Description |
|---|---|---|---|
companyName | string | Yes | Company name or LinkedIn company URL |
includeFinancials | boolean | No | Extract funding and revenue signals (default: true) |
includeEmployees | boolean | No | Extract employee counts and leadership (default: true) |
Example MCP call:
{"name": "linkedin-company-profile","description": "Extract detailed company profile data from LinkedIn including firmographics, industry, headquarters, specialties, and employee counts.","inputSchema": {"type": "object","properties": {"companyName": {"type": "string","description": "Company name or LinkedIn company page URL"},"includeFinancials": {"type": "boolean","description": "Include funding and revenue indicators"},"includeEmployees": {"type": "boolean","description": "Include employee counts and leadership data"}},"required": ["companyName"]}}
Cost: $0.08/company profile (included in Apify PPE pricing)
Tool: linkedin-company-search
What it does: Search LinkedIn for companies by industry, location, size, and keywords. Returns list of matching companies with basic firmographic data.
Input parameters:
| Parameter | Type | Required | Description |
|---|---|---|---|
searchQuery | string | No | Search query for company search |
industries | array | No | Filter by industries |
locations | array | No | Filter by locations (city, state, country) |
minEmployees | integer | No | Minimum employee count |
maxEmployees | integer | No | Maximum employee count |
maxResults | integer | No | Maximum results (default: 50, max: 500) |
Example MCP call:
{"name": "linkedin-company-search","description": "Search LinkedIn for companies by industry, location, size, and keywords. Returns matching companies with firmographic data.","inputSchema": {"type": "object","properties": {"searchQuery": {"type": "string","description": "Company search query"},"industries": {"type": "array","description": "Industries to filter by"},"locations": {"type": "array","description": "Locations to filter by"},"minEmployees": {"type": "integer","description": "Minimum employee count"},"maxEmployees": {"type": "integer","description": "Maximum employee count"},"maxResults": {"type": "integer","description": "Maximum results (1-500, default: 50)"}}}}
Cost: $0.10/search query
Tool: linkedin-competitor-analysis
What it does: Run competitive analysis across multiple companies. Compares employee counts, growth signals, technology stacks, and market positioning.
Input parameters:
| Parameter | Type | Required | Description |
|---|---|---|---|
companies | array | Yes | Array of company names or URLs |
analysisDepth | string | No | basic, detailed, comprehensive (default: detailed) |
Example MCP call:
{"name": "linkedin-competitor-analysis","description": "Run competitive analysis across multiple companies. Compares employee counts, growth signals, technology stacks, and market positioning.","inputSchema": {"type": "object","properties": {"companies": {"type": "array","description": "Array of company names or LinkedIn URLs"},"analysisDepth": {"type": "string","enum": ["basic", "detailed", "comprehensive"],"description": "Depth of analysis (default: detailed)"}},"required": ["companies"]}}
Cost: $0.15/competitor analysis
Integration with AI tools
- Claude Desktop: Add Apify MCP to
claude_desktop_config.json - Cursor IDE: Configure MCP server in settings → MCP Servers
- Windsurf: Add to MCP server list via
/settings - Custom agents: Use any MCP client library (Python, Node.js, Go)
Pricing
This actor uses Apify's Pay-Per-Event (PPE) model — you are charged per result returned. No charge for queries that return zero results.
| Event Type | Price | Description |
|---|---|---|
| Company profile | $0.08 | Per company extracted |
| Company search | $0.10 | Per search query |
| Competitor analysis | $0.15 | Per multi-company comparison |
| Employee intelligence | $0.05 | Per employee data request |
| Growth signals | $0.06 | Per growth analysis |
Free tier: 30 minutes compute/month, 100MB storage Paid plans: Starter from $49/month for higher compute limits
Input Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
mode | enum | No | company_research | company_research, competitive_analysis, investment_research, sales_intelligence, market_analysis |
companies | array | No | [] | Company names or LinkedIn URLs |
companyUrls | array | No | [] | Direct LinkedIn company page URLs |
searchQuery | string | No | — | LinkedIn company search query |
industries | array | No | [] | Filter by industries |
locations | array | No | [] | Filter by locations |
minEmployees | integer | No | 1 | Minimum employee count |
maxEmployees | integer | No | 10000 | Maximum employee count |
maxResults | integer | No | 100 | Maximum companies (1-500) |
includeEmployees | boolean | No | true | Extract employee profiles |
includeFinancials | boolean | No | true | Extract funding/revenue signals |
includeCompetitive | boolean | No | true | Extract competitor relationships |
includeTechStack | boolean | No | false | Analyze technology mentions |
includeGrowthSignals | boolean | No | true | Extract hiring trends and growth |
employeeDepth | enum | No | leadership | basic, leadership, comprehensive |
timeRange | string | No | 6months | Analysis period |
outputFormat | enum | No | comprehensive | basic, comprehensive, executive_summary |
complianceMode | boolean | No | true | Enhanced ethical data collection |
checkOnly | boolean | No | false | Free smoke test — no charge |
proxyType | enum | No | RESIDENTIAL | DATACENTER or RESIDENTIAL |
debugMode | boolean | No | false | Health check mode |
Output
Company Profile Response
{"companyName": "Apple Inc.","linkedinUrl": "https://linkedin.com/company/apple","industry": "Consumer Electronics","headquarters": "Cupertino, CA","companySize": "10001+","founded": "1976","specialties": ["Consumer Electronics","Software","Services"],"description": "Apple designs, manufactures, and markets smartphones, personal computers, tablets, wearables, and accessories worldwide.","website": "https://www.apple.com","employees": {"totalCount": 164000,"leadership": [{ "name": "Tim Cook", "title": "CEO", "linkedinUrl": "..." },{ "name": "Jeff Williams", "title": "COO", "linkedinUrl": "..." }],"growthTrend": "stable"},"financials": {"funding": "Public (AAPL)","estimatedRevenue": "$300B+","growthIndicators": ["Hiring trending up", "Global expansion"]},"competitors": [{ "name": "Samsung", "linkedinUrl": "..." },{ "name": "Microsoft", "linkedinUrl": "..." }],"technologyStack": ["Swift", "Objective-C", "Python"],"metadata": {"extractedAt": "2026-04-10T12:00:00Z","confidence": 0.95}}
Sales Intelligence Response
{"companies": [{"name": "Tech Corp","linkedinUrl": "https://linkedin.com/company/techcorp","headcount": 500,"industry": "Software","headquarters": "San Francisco, CA","growthSignals": {"hiringTrend": "expanding","recentFunding": "$50M Series B","newsSignals": ["Opened new office", "Hiring engineers"]},"contactScore": 85,"recommendedContact": "LinkedIn Sales Navigator"}]}
Authentication / Setup
No API key required. This actor uses Apify's managed proxy infrastructure for LinkedIn extraction.
For production use with high-security targets:
- Set
proxyTypetoRESIDENTIALin input parameters - Configure residential proxies in Apify Console
- Enable
complianceModefor ethical data collection
Error Handling
| Error Code | Cause | Fix |
|---|---|---|
RATE_LIMIT_ERROR | Too many requests | Wait and retry, use residential proxy |
EXTRACTION_ERROR | Company page not found or private | Verify company exists on LinkedIn |
NETWORK_ERROR | Connectivity issue | Check internet, retry with proxy |
VALIDATION_ERROR | Invalid input parameters | Review input schema, fix format |
PLATFORM_ERROR | LinkedIn issue | LinkedIn may be experiencing issues, try later |
Zero-result handling: If no companies match your criteria, no charge is incurred under PPE billing.
Rate Limits
Rate limits depend on your Apify plan:
| Plan | Compute Units | Behavior |
|---|---|---|
| Free | Limited | Standard throttling |
| Basic | 100/month | Faster extraction |
| Starter | 500/month | Prioritized processing |
| Professional | 2000/month | Minimal throttling |
| Scale | Unlimited | Fastest extraction |
Use checkOnly: true mode to verify availability before running large extractions.
Use Cases
Use Case 1: B2B Lead Generation
Build targeted lead lists by company size and industry:
{"input": {"mode": "sales_intelligence","industries": ["Software", "Technology"],"locations": ["San Francisco, CA", "New York, NY"],"minEmployees": 50,"maxEmployees": 500,"includeGrowthSignals": true,"maxResults": 100}}
Use Case 2: Investment Due Diligence
Research target companies for investment decisions:
{"input": {"mode": "investment_research","companies": ["TechCorp", "StartupXYZ"],"includeFinancials": true,"includeEmployees": true,"includeCompetitive": true}}
Use Case 3: Competitive Analysis Dashboard
Track competitor positioning over time:
{"input": {"mode": "competitive_analysis","companies": ["CompetitorA", "CompetitorB", "CompetitorC"],"includeTechStack": true,"includeGrowthSignals": true,"outputFormat": "executive_summary"}}
Use Case 4: AI Agent Company Research
Integrate with AI agents for automated research:
// Pseudocode: AI agent company researchconst companies = await callActor('red.cars/linkedin-company-intelligence-pro', {mode: 'company_research',companies: ['Apple', 'Microsoft', 'Google'],includeFinancials: true,includeEmployees: true});// Query: "Which company has the strongest growth signals?"// Use data for investment or partnership decisions
Related Actors
- Business Contact Intelligence Pro — B2B contact enrichment and validation
- Instagram Business Intelligence Pro — Social media intelligence for brand monitoring
- X Business Intelligence Pro — Social media sentiment for market research
Troubleshooting
Private company pages:
- LinkedIn company pages are generally public
- Some private companies may have limited data
- Try search mode to find companies with public profiles
Rate limiting:
- Wait 60 seconds before retrying
- Enable residential proxy for better success rate
- Use batch queries instead of individual calls
Stale data:
- LinkedIn pages change frequently
- Use Apify Scheduler for fresh data at regular intervals
- Check
extractedAttimestamp for data freshness
Changelog
| Version | Date | Changes |
|---|---|---|
| 1.0.0 | 2026-04-08 | Initial release with MCP tools and PPE pricing |
| 0.9.0 | 2026-03-15 | Added growth signals and competitive analysis |
| 0.8.0 | 2026-02-20 | Beta release with basic company extraction |
FAQ
Q: Is this legal? A: This actor extracts publicly available LinkedIn company data. Users must comply with LinkedIn's Terms of Service and applicable laws. Do not use for spam or unauthorized data collection.
Q: Can I extract employee personal profiles? A: No. This actor focuses on company-level data, not individual employee profiles. Personal profile data requires separate consent.
Q: How does PPE billing work? A: You are charged per company returned. If a query returns zero results, no charge is incurred.
Q: What data freshness can I expect? A: LinkedIn pages change frequently. Use Apify Scheduler for regular updates. Data reflects the time of extraction.
Q: Can I export directly to CRM?
A: Yes. Set outputFormat to appropriate format and integrate with Salesforce, HubSpot, or other CRMs.
Support
- Documentation: This README and Apify Console input schema
- Issues: Report via Apify Console or contact red.cars support
- Enterprise: Contact for custom integration and volume pricing
Legal / Terms
Data Source: LinkedIn (linkedin.com) — publicly available company data
Terms of Service: This actor is provided for legitimate business intelligence purposes only. Users must comply with LinkedIn's Terms of Service and applicable laws. Do not use extracted data for spam, unsolicited outreach, or unauthorized commercial purposes.
Privacy: All extracted data is processed in accordance with applicable privacy laws. Company data is generally public; individual employee data requires separate consent. Do not use this tool for unauthorized data collection.
Disclaimer: Red.cars is not responsible for decisions made based on extracted data. Verify critical company information directly on LinkedIn or company websites.
red.cars Intelligence Fleet — apify.com/red.cars