🔍 LinkedIn Profile Enricher

Enrich any LinkedIn profile URL with structured data: name, job title, headline, summary, company, location, skills, education, and work history. One URL in, one enriched profile out, at scale.

No LinkedIn account or cookies required.

💡 For other LinkedIn tools by Dende Labs, check: https://apify.com/dendelabs

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✨ Key Features

Feature	Description
📋 Rich profile data	First name, last name, full name, title, headline, summary, picture URL, location, skills, education, and work history.
🎯 Sales / ICP signals	open_to_work, hiring, verified, premium badges; seniority (c_suite, vp, director, etc.); department + functions.
🏢 Deeply enriched company	Legal name, founded year, type, industry, staff count, website, domain, social URLs, full HQ address, tech stack, IPO date, IT spend, and more.
🔗 Cross-platform links	LinkedIn, Twitter / X, GitHub, and Facebook URLs surfaced when discoverable.
💰 Pay only for results	You are charged only when a profile is found. not_found and error responses are always free.
📦 Batch processing	Submit up to 5,000 URLs in a single run.
⚡ 1:1 enrichment	One input URL produces exactly one output record, predictable, easy to join back to your data.
🔐 No cookies needed	No LinkedIn account, cookies, or risk of bans.

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📥 Input

Basic Usage

Just paste one or more LinkedIn profile URLs:

{
  "profileUrls": [
    "https://www.linkedin.com/in/satyanadella/"
  ]
}

All Input Parameters

Parameter	Type	Required	Default	Description
profileUrls	string[]	✅ Yes	(none)	LinkedIn profile URLs. Each must match https://www.linkedin.com/in/<handle>/. Up to 5,000 per run.

Supported URL Formats

✅ https://www.linkedin.com/in/satyanadella/
✅ https://www.linkedin.com/in/satyanadella
✅ https://www.linkedin.com/in/satyanadella/?utm_source=share

---

📤 Output

Each input URL produces exactly one record in the dataset. The status field tells you what happened:

Status	Charged?	Description
success	✅ Yes ($0.006)	Profile found, full data in the profile field.
not_found	❌ No	Profile not found in the data source (private, deleted, or not indexed).
error	❌ No	Invalid URL format or upstream network failure.

Success Record

{
  "url": "https://www.linkedin.com/in/satyanadella/",
  "status": "success",
  "profile": {
    "identifier": "satyanadella",
    "first_name": "Satya",
    "last_name": "Nadella",
    "full_name": "Satya Nadella",
    "title": "Chairman and CEO",
    "headline": "Chairman and CEO at Microsoft",
    "summary": "As chairman and CEO of Microsoft, I define my mission...",
    "picture_url": "https://images.ai-ark.com/...",
    "background_url": "https://media.licdn.com/dms/image/...",
    "industry": "Computer Software",
    "location": {
      "default": "Redmond, Washington, United States, North America",
      "short": "Redmond, Washington",
      "country": "United States",
      "state": "Washington",
      "city": "Redmond"
    },
    "languages": {
      "primary_locale": { "country": "US", "language": "en" },
      "supported_locales": [{ "country": "US", "language": "en" }]
    },
    "badges": {
      "premium": true,
      "creator": true,
      "open_to_work": false,
      "hiring": false,
      "verified": true,
      "influencer": true
    },
    "department": {
      "departments": ["c_suite"],
      "sub_departments": ["founder", "executive"],
      "functions": ["entrepreneurship"],
      "seniority": "c_suite"
    },
    "links": {
      "linkedin": "https://www.linkedin.com/in/satyanadella",
      "twitter": null,
      "github": null,
      "facebook": null
    },
    "skills": [],
    "educations": [
      {
        "school": {
          "name": "The University of Chicago Booth School of Business",
          "logo": "https://images.ai-ark.com/...",
          "url": "https://www.linkedin.com/school/universityofchicagoboothschoolofbusiness/"
        },
        "date": { "start": "1994-01-01", "end": "1996-12-31" }
      }
    ],
    "position_groups": [
      {
        "company": {
          "name": "Microsoft",
          "logo": "https://images.ai-ark.com/...",
          "url": "https://www.linkedin.com/company/microsoft",
          "employees": { "start": 10001 }
        },
        "date": { "start": "2014-02-01", "end": null },
        "profile_positions": [
          {
            "company": "Microsoft",
            "title": "Chairman and CEO",
            "date": { "start": "2014-02-01", "end": null }
          }
        ]
      }
    ],
    "company": {
      "name": "Microsoft",
      "legal_name": "Microsoft Corporation",
      "founded_year": 1975,
      "type": "PUBLIC_COMPANY",
      "industry": "software development",
      "staff": { "total": 228018, "range_start": 10001, "range_end": null },
      "website": "https://news.microsoft.com",
      "domain": "microsoft.com",
      "linkedin_url": "https://www.linkedin.com/company/microsoft",
      "twitter_url": "https://x.com/Microsoft",
      "crunchbase_url": "https://www.crunchbase.com/organization/microsoft",
      "headquarter": {
        "country": "United States",
        "state": "Washington",
        "city": "Redmond",
        "street": "1 Microsoft Way",
        "postal_code": "98052",
        "raw_address": "1 Microsoft Way, Redmond, Washington, United States, North America",
        "position": { "lng": -122.33279, "lat": 47.591396 }
      },
      "technologies": [{ "name": "organization schema", "category": "framework" }],
      "industries": ["Software Development"],
      "keywords": ["AI", "Cloud", "Productivity"],
      "naics": ["511210"],
      "revenue_amount": "10000000000-...",
      "funding_total": 1000000,
      "ipo_date": "1986-03-13",
      "it_spend": 66692471976,
      "last_updated": "2026-04-12"
    },
    "last_updated": "2026-04-12"
  },
  "_metadata": {
    "extracted_at": "2026-04-28T12:00:00.000Z"
  }
}

Not Found Record

{
  "url": "https://www.linkedin.com/in/someunknownperson/",
  "status": "not_found",
  "_metadata": {
    "extracted_at": "2026-04-28T12:00:00.000Z"
  }
}

Error Record

{
  "url": "https://example.com/not-a-linkedin-url",
  "status": "error",
  "error_kind": "user_error",
  "reason": "Invalid LinkedIn profile URL. Expected: https://www.linkedin.com/in/<handle>/",
  "_metadata": {
    "extracted_at": "2026-04-28T12:00:00.000Z"
  }
}

Output Fields Reference

All fields below are nested under profile (present when status = success).

Identity:

Field	Type	Description
profile.identifier	string | null	LinkedIn handle (the slug after /in/, e.g. satyanadella).
profile.first_name	string | null	First name.
profile.last_name	string | null	Last name.
profile.full_name	string | null	Full display name.
profile.title	string | null	Current job title.
profile.headline	string | null	LinkedIn headline (short tagline under the name).
profile.summary	string | null	About / summary section.
profile.picture_url	string | null	Profile photo URL.
profile.background_url	string | null	Banner / background image URL.
profile.birth_date	string | null	Birth date if exposed by the source.
profile.industry	string | null	Top-level industry classification (e.g. Computer Software).
profile.last_updated	string | null	ISO date the upstream source last refreshed this profile.

Location & locale:

Field	Type	Description
profile.location.default	string	Compact one-liner (e.g. Redmond, Washington, United States, North America).
profile.location.short	string	Short one-liner (e.g. Redmond, Washington).
profile.location.country	string	Country name.
profile.location.state	string	State or region.
profile.location.city	string	City.
profile.languages.primary_locale	object	{ country, language } of the profile's primary locale.
profile.languages.supported_locales	object[]	Other locales the profile is translated into.

Sales / ICP signals:

Field	Type	Description
profile.badges.open_to_work	boolean	True when the profile is flagged Open to Work.
profile.badges.hiring	boolean	True when the profile is hiring.
profile.badges.premium	boolean	LinkedIn Premium subscriber.
profile.badges.creator	boolean	LinkedIn Creator.
profile.badges.verified	boolean	LinkedIn-verified profile.
profile.badges.influencer	boolean	LinkedIn Influencer.
profile.department.seniority	string | null	Seniority level (e.g. c_suite, vp, director, manager).
profile.department.functions	string[]	Functional areas (e.g. engineering, sales).
profile.department.departments	string[]	Departments (e.g. engineering, c_suite).
profile.department.sub_departments	string[]	Sub-departments.

Social links:

Field	Type	Description
profile.links.linkedin	string | null	Canonical LinkedIn URL from the data source.
profile.links.twitter	string | null	Twitter / X profile URL if discoverable.
profile.links.github	string | null	GitHub profile URL if discoverable.
profile.links.facebook	string | null	Facebook profile URL if discoverable.

Career history:

Field	Type	Description
profile.skills	string[]	List of skills.
profile.educations	object[]	Education history. Each entry: { school: { id, name, logo, url }, degree_name, field_of_study, grade, date: { start, end } }.
profile.position_groups	object[]	Work experience grouped by company. Each entry: { company: { id, name, logo, url, employees }, date: { start, end }, profile_positions: [{ company, title, description, employment_type, location, date }] }.

Current company (deeply enriched):

Field	Type	Description
profile.company.name	string | null	Current company name.
profile.company.legal_name	string | null	Legal company name (e.g. Microsoft Corporation).
profile.company.description	string | null	Long-form company description.
profile.company.overview	string | null	Short company overview.
profile.company.founded_year	integer | null	Year founded.
profile.company.type	string | null	PUBLIC_COMPANY, PRIVATELY_HELD, NON_PROFIT, etc.
profile.company.industry	string | null	Company-level industry.
profile.company.staff.total	integer | null	Total employees.
profile.company.staff.range_start	integer | null	Lower bound of employee range.
profile.company.website	string | null	Company website URL.
profile.company.domain	string | null	Root domain (e.g. microsoft.com).
profile.company.linkedin_url	string | null	Company LinkedIn page.
profile.company.twitter_url	string | null	Company Twitter / X.
profile.company.facebook_url	string | null	Company Facebook.
profile.company.crunchbase_url	string | null	Company Crunchbase.
profile.company.headquarter	object | null	{ country, state, city, street, postal_code, raw_address, position: { lng, lat } }.
profile.company.technologies	object[]	Tech stack: [{ name, category }].
profile.company.industries	string[]	Industry tags.
profile.company.keywords	string[]	SEO / topic keywords.
profile.company.naics	string[]	NAICS classification codes.
profile.company.revenue_amount	string | null	Revenue range (e.g. 10000000000-...).
profile.company.funding_total	integer | null	Total funding raised in USD.
profile.company.ipo_date	string | null	IPO date if public.
profile.company.it_spend	integer | null	Estimated annual IT spend in USD (Aberdeen data). Useful for B2B SaaS targeting.

Provenance:

Field	Type	Description
_metadata.extracted_at	string	ISO timestamp of the lookup.

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📌 Examples

Example 1: Enrich a single profile

{
  "profileUrls": [
    "https://www.linkedin.com/in/satyanadella/"
  ]
}

Example 2: Batch enrichment

{
  "profileUrls": [
    "https://www.linkedin.com/in/satyanadella/",
    "https://www.linkedin.com/in/jeffweiner08/",
    "https://www.linkedin.com/in/reidhoffman/"
  ]
}

Each URL produces its own row in the output dataset. Not-found profiles are included with status: "not_found" and are not charged.

Example 3: Enrich a list from a CRM or spreadsheet

Export LinkedIn URLs from your CRM, paste them into profileUrls, and run. The output maps 1:1 to your input list by URL, easy to rejoin in any spreadsheet tool or database.

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💰 Pricing

This actor uses pay-per-event pricing. You are charged $0.006 per successfully enriched profile (= $6.00 per 1,000 profiles).

Free plan limit

Apify Free plan users can enrich up to 20 profiles per calendar month. The cap resets at the start of each month. To run unlimited enrichments, upgrade to Apify Starter ($49/mo) or higher. Free-tier overflow returns a status: "error" record with error_kind: "free_tier_limit" and is not charged.

What you are NOT charged for:

• Profiles that returned not_found (not in the data source)
• Profiles that returned error (invalid URL or network failure)
• Apify platform compute time (memory/CPU)

Cost examples:

Profiles enriched	Cost
100	$0.60
500	$3.00
1,000	$6.00
5,000	$30.00

💡 Profiles that aren't found cost nothing, there's no penalty for trying.

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🤖 Integration with AI Agents

This actor is optimized for use with AI agents and LLMs via the Apify MCP server.

Output Schema

Each record has a status field (success | not_found | error) and a profile object when status is success. The profile fields are flat and predictable, ideal for agent post-processing.

Key fields for agents:

• profile.full_name: Who this person is
• profile.title + profile.headline: Their current role and self-description
• profile.industry: Industry classification
• profile.department.seniority: Seniority level (c_suite, vp, director, etc.) for ICP matching
• profile.badges.open_to_work / profile.badges.hiring: Intent signals
• profile.company.name + profile.company.industry + profile.company.staff.total: Where they work, what the company does, headcount
• profile.company.technologies: Tech stack used by the company
• profile.company.it_spend: Annual IT spend (B2B SaaS targeting)
• profile.skills: Areas of expertise
• profile.position_groups: Career history
• profile.links.{twitter, github, facebook}: Other social profiles for outreach

Example Agent Prompt

"Enrich these 10 LinkedIn profiles and summarize each person's role, company, and top 3 skills in a table."

The agent can pass the URL list as profileUrls and process the structured profile output directly, no scraping, no parsing.

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🎯 Use Cases

• 📊 CRM enrichment: Automatically fill in job title, company, location, and skills for contacts in your CRM
• 🔎 Sales prospecting: Validate and enrich leads before outreach
• 🧩 Recruiting: Quickly build structured candidate profiles from a list of LinkedIn URLs
• 🏢 Account research: Understand a company's team composition and expertise
• 📋 Data pipelines: Feed enriched profile data into downstream tools (Airtable, HubSpot, Salesforce, etc.)
• 🤖 AI agent context: Give AI agents structured professional background on a person before a meeting or call

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⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation. LinkedIn® is a registered trademark of LinkedIn Corporation. All trademarks are property of their respective owners.

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Dende Labs

We build high-performance LinkedIn data tools for sales teams, recruiters, and growth professionals.

Our actors are designed to be fast, affordable, and developer-friendly, with clean structured JSON output and pay-only-for-results pricing.

• Built for scale: batch processing up to 5,000 profiles per run
• No LinkedIn account required
• Pay only for profiles that return data
• Clean, structured JSON output, easy to join back to your data

Questions or custom requests? Reach out at contact@dendelabs.com