People Intelligence — AI-Powered Contact Research avatar

People Intelligence — AI-Powered Contact Research

Pricing

from $120.00 / 1,000 person analyses

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People Intelligence — AI-Powered Contact Research

People Intelligence — AI-Powered Contact Research

Given a name and company, returns AI-analyzed contact intelligence: title, seniority, department, likely email formats, and confidence score. The natural complement to Company Intelligence. Pay only per successful result at $0.12/person — no subscription needed.

Pricing

from $120.00 / 1,000 person analyses

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People Intelligence — Apify Actor

Name + company → structured contact intelligence. $0.10/person.

The natural complement to Company Intelligence. Same buyers, adjacent need: "I know the company — now who do I contact?"


The Zero-Code Enrichment Pipeline (Zapier)

The most powerful use case requires zero engineering:

  1. New lead enters Salesforce / HubSpot
  2. Zapier triggers Company Intelligence → enriched company JSON flows back
  3. Zapier triggers People Intelligence → enriched contact JSON flows back
  4. Contact created automatically with title, seniority, likely email, and activity signals

Cost per contact: $0.10. No monthly subscription. No seats. No contracts.

Compare to:

  • Apollo: ~$1/contact (10x more)
  • ZoomInfo: ~$5-15/contact (50-150x more)
  • Clay: $400+/month minimum
  • Manual research: 15-30 minutes per person

What It Does

Given a person's name + company (or LinkedIn URL), output structured intelligence:

FieldExample
Name + title"Sarah Chen — VP of Marketing"
Seniority level"VP-Director"
Department"Marketing"
Team size estimate"10-30"
LinkedIn URLlinkedin.com/in/sarah-chen-acme
Likely email formatssarah.chen@acme.com, schen@acme.com
Email format confidence"high"
Recent activity signals"Job change: joined Acme 8 months ago"
Confidence score82/100

Quick Start

Input (single person)

{
"name": "Sarah Chen",
"company": "Acme Corp"
}

Input (with LinkedIn URL for higher confidence)

{
"name": "Sarah Chen",
"company": "Acme Corp",
"linkedinUrl": "https://www.linkedin.com/in/sarah-chen-acme"
}

Input (batch mode — up to 50 people per run)

{
"people": [
{ "name": "Sarah Chen", "company": "Acme Corp" },
{ "name": "James Park", "company": "Stripe" },
{ "name": "Maria Santos", "company": "HubSpot" }
],
"depth": "standard"
}

Example Output

{
"name": "Sarah Chen",
"title": "VP of Marketing",
"seniority": "VP-Director",
"company": "Acme Corp",
"companyDomain": "acme.com",
"department": "Marketing",
"teamSizeEstimate": "10-30",
"linkedinUrl": "https://www.linkedin.com/in/sarah-chen-acme",
"linkedinHeadline": "VP Marketing @ Acme | B2B SaaS | Pipeline obsessed",
"location": "San Francisco, CA",
"likelyEmailFormats": [
"sarah.chen@acme.com",
"schen@acme.com",
"sarah@acme.com",
"sarachen@acme.com"
],
"emailFormatConfidence": "high",
"recentActivity": [
"Posted about demand gen strategy 3 days ago",
"Job change: joined Acme Corp 8 months ago",
"Commented on pipeline metrics article"
],
"openToOutreach": true,
"confidenceScore": 82,
"confidenceNotes": "LinkedIn profile confirmed. Email format inferred from company domain patterns.",
"sources": [
"https://www.linkedin.com/in/sarah-chen-acme",
"https://acme.com/team"
],
"analyzedAt": "2026-02-28T12:00:00.000Z",
"error": null
}

Input Reference

FieldTypeRequiredDescription
namestringYes*Full name of person
companystringYes*Company name or domain
linkedinUrlstringNoDirect LinkedIn URL (increases confidence)
peoplearrayBatch mode: array of {name, company, linkedinUrl?}
depthstringNo"standard" (default) or "quick"
includeEmailFormatbooleanNoDefault true

*Either name+company or linkedinUrl is required.


Pricing

ResultPrice
Person analyzed (confidence ≥ 50)$0.10
Person not found (confidence < 50)$0.00
Batch of 10 people~$1.00
Batch of 100 people~$10.00
Batch of 1,000 people~$100.00

Pay-per-event (PPE) — you only pay for successful analyses. If we can't find meaningful data on someone, you're not charged.


Confidence Score

ScoreMeaning
85-100LinkedIn confirmed + title + company verified
65-84LinkedIn found, data partially verified
40-64Inferred from company/web signals only
< 40Very limited data — no charge

MCP / AI Agent Compatible

This actor is available via the Apify MCP server, making it natively usable inside:

  • Claude (claude.ai or Claude Desktop with MCP)
  • Cursor / VS Code (via MCP plugin)
  • Any MCP-compatible AI agent or tool

Zero integration work. Call it from your AI assistant in 30 seconds.


Integrations (Zero-Code)

Works out of the box with all Apify native integrations:

IntegrationUse case
ZapierTrigger on new CRM lead → enrich → create enriched contact
Make (formerly Integromat)Same as Zapier, more complex flows
Google SheetsResults populate a sheet automatically
SlackSend enriched contact to a Slack channel
HubSpotDirect integration available
SalesforceVia Zapier or direct API

Example Zapier flow (5 minutes to set up):

Trigger: New contact in Salesforce
→ Action 1: Company Intelligence (enrich company)
→ Action 2: People Intelligence (enrich contact)
→ Action 3: Update Salesforce contact with enriched fields

API Usage

curl -X POST "https://api.apify.com/v2/acts/fortunate_favorite~people-intelligence/runs" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_TOKEN" \
-d '{
"name": "Sarah Chen",
"company": "Acme Corp"
}'

Companion Actor

Works best paired with Company Intelligence ($0.20/company):

  1. Company Intelligence → understand the account (tech stack, size, pain points, opportunity score)
  2. People Intelligence → find the right contact (title, seniority, email format, activity)
  3. Outreach → go in warm, with context

Always Fresh — Powered by Gemini (Google)

Unlike database-backed tools (Apollo, ZoomInfo, Clay) where contact data can be months or years out of date, every run of this actor fetches live data in real time:

  • LinkedIn public profile fetched fresh on every run — current title, headline, recent activity
  • Company team page scraped live — catches recent hires and org changes
  • Google web signals checked for job changes, posts, and public activity

Google Gemini Flash synthesises all of this into structured contact intelligence — so you get a picture of who this person is today, not who they were when a database last crawled them.

What's AI-inferred vs. sourced is clearly labelled in the dataQuality field of every output. Email formats are labelled inferredEmailFormats — pattern-based guesses, not verified addresses. The confidenceScore is AI-estimated and reflects data availability, not a guaranteed match.

Data privacy: inputs are processed by Google's Generative AI API. See Google's privacy policy. Supply your own API key via the googleApiKey input field for high-volume or sensitive use cases. Free API keys available at aistudio.google.com/apikey.

Other notes:

  • LinkedIn data comes from publicly indexed pages only — no login, no cookies required.
  • Person not found = no charge. We only charge when we deliver meaningful intelligence.
  • LinkedIn profiles may have access limits; actor falls back to Google-indexed snippets when needed.

Support

Questions or issues? Contact us via the Apify actor page or open an issue.

Built with ❤️ using Apify + Google Gemini Flash.