People Intelligence — AI-Powered Contact Research
Pricing
from $120.00 / 1,000 person analyses
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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Hampus
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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:
- New lead enters Salesforce / HubSpot
- Zapier triggers Company Intelligence → enriched company JSON flows back
- Zapier triggers People Intelligence → enriched contact JSON flows back
- 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:
| Field | Example |
|---|---|
| Name + title | "Sarah Chen — VP of Marketing" |
| Seniority level | "VP-Director" |
| Department | "Marketing" |
| Team size estimate | "10-30" |
| LinkedIn URL | linkedin.com/in/sarah-chen-acme |
| Likely email formats | sarah.chen@acme.com, schen@acme.com |
| Email format confidence | "high" |
| Recent activity signals | "Job change: joined Acme 8 months ago" |
| Confidence score | 82/100 |
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
| Field | Type | Required | Description |
|---|---|---|---|
name | string | Yes* | Full name of person |
company | string | Yes* | Company name or domain |
linkedinUrl | string | No | Direct LinkedIn URL (increases confidence) |
people | array | — | Batch mode: array of {name, company, linkedinUrl?} |
depth | string | No | "standard" (default) or "quick" |
includeEmailFormat | boolean | No | Default true |
*Either name+company or linkedinUrl is required.
Pricing
| Result | Price |
|---|---|
| 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
| Score | Meaning |
|---|---|
| 85-100 | LinkedIn confirmed + title + company verified |
| 65-84 | LinkedIn found, data partially verified |
| 40-64 | Inferred from company/web signals only |
| < 40 | Very 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:
| Integration | Use case |
|---|---|
| Zapier | Trigger on new CRM lead → enrich → create enriched contact |
| Make (formerly Integromat) | Same as Zapier, more complex flows |
| Google Sheets | Results populate a sheet automatically |
| Slack | Send enriched contact to a Slack channel |
| HubSpot | Direct integration available |
| Salesforce | Via 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):
- Company Intelligence → understand the account (tech stack, size, pain points, opportunity score)
- People Intelligence → find the right contact (title, seniority, email format, activity)
- 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
googleApiKeyinput 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.