LinkedIn Profile Scraper — Experience & Skills ✅ No Cookies avatar

LinkedIn Profile Scraper — Experience & Skills ✅ No Cookies

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from $5.00 / 1,000 results

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LinkedIn Profile Scraper — Experience & Skills ✅ No Cookies

LinkedIn Profile Scraper — Experience & Skills ✅ No Cookies

Extract LinkedIn profile data in bulk — experience, education, skills, connections, followers and posts — from a URL or username. Pay only for profiles found. No cookies or account required.

Pricing

from $5.00 / 1,000 results

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NeuralVerge

NeuralVerge

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7 hours ago

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LinkedIn Profile Scraper — Experience & Skills ✅ No Cookies

Extract structured LinkedIn profile data — name, headline, location, connections, followers, about, full work experience, education, certifications, languages and recent posts — from a profile URL or username. Powered by the Neuralverge API. No cookies or account required, and you only pay for profiles we actually find.

Ideal for recruiting and sourcing, lead enrichment, CRM hydration, and feeding people data to AI agents.

✨ Why this Actor

  • 💸 Pay only for the profiles you get — unresolved URLs are skipped and never billed. Misses are free; no empty, billable rows.
  • 🍪 No cookies, login or account — never share LinkedIn credentials or risk account restrictions. Extraction runs on the Neuralverge backend.
  • 👤 Full profile — experience, education, certifications, languages, top skills, followers and posts as one structured object.
  • Real-time & structured — fresh data each run and one predictable JSON schema, ready for a spreadsheet, ATS, CRM or AI pipeline.

🔧 How it works

  1. Provide a LinkedIn profile URL or username — a full URL (https://www.linkedin.com/in/williamhgates) or just the handle (williamhgates).
  2. Run the Actor. Fetching and AI-structuring the profile happens on the Neuralverge backend.
  3. Get one dataset row per person — the source url, the extraction settings (including the JSON schema) and the structured machine object. Export to CSV, JSON or Excel, or pull it over the Apify API.

If the profile can't be resolved, it's logged and skipped without charge.

Input

One profile per run.

FieldTypeNotes
profileUrlstringA LinkedIn profile URL or bare username.
{
"profileUrl": "https://www.linkedin.com/in/williamhgates"
}

What you'll receive

Each dataset row mirrors the Neuralverge system output and has three top-level blocks:

  • url — the profile URL you submitted (normalized from a username if you passed one).
  • settings — the extraction settings, including the full JSON schema used, at settings.extract_schema_json.
  • machine — the structured result:
    • basic_infofullname, first_name, last_name, headline, about, location, connection_count, follower_count, current_company, top_skills, top_education_school, flags (is_creator, is_premium, is_top_voice, open_to_work), email when present, and more.
    • experience, education, certifications, languages, causes, posts — full arrays.

Nulls & empty arrays are normal. Only fields present on the live profile are filled; anything not shown on LinkedIn (e.g. top_skills, email, profile_picture_url) comes back null, and posts / certifications may be empty. There is no single "current role" field — read it from experience, where the current role (if any) has is_current: true.

Example output (real run)

A real dataset row from https://www.linkedin.com/in/jonathan-myrvik-3baa01109, shown in full — including the complete extraction schema (settings.extract_schema_json) and the full machine-readable result (machine). The human markdown summary is produced by the system but omitted from the dataset.

{
"url": "https://www.linkedin.com/in/jonathan-myrvik-3baa01109",
"settings": {
"has_schema": true,
"country_code": "us",
"extract_schema_json": {
"type": "object",
"properties": {
"basic_info": {
"type": "object",
"properties": {
"fullname": {
"type": "string"
},
"first_name": {
"type": "string"
},
"last_name": {
"type": "string"
},
"headline": {
"type": "string"
},
"public_identifier": {
"type": "string"
},
"profile_url": {
"type": "string",
"format": "uri"
},
"profile_picture_url": {
"type": "string",
"format": "uri"
},
"background_picture_url": {
"type": "string",
"format": "uri"
},
"about": {
"type": "string"
},
"location": {
"type": "object",
"properties": {
"country": {
"type": "string"
},
"city": {
"type": "string"
},
"full": {
"type": "string"
},
"postal_code": {
"type": "string"
},
"country_code": {
"type": "string"
}
}
},
"creator_hashtags": {
"type": "array",
"items": {
"type": "string"
}
},
"is_creator": {
"type": "boolean"
},
"is_influencer": {
"type": "boolean"
},
"is_premium": {
"type": "boolean"
},
"open_to_work": {
"type": "boolean"
},
"created_timestamp": {
"type": "integer"
},
"show_follower_count": {
"type": "boolean"
},
"memorialized": {
"type": "boolean"
},
"is_top_voice": {
"type": "boolean"
},
"primary_locale": {
"type": "string"
},
"urn": {
"type": "string"
},
"follower_count": {
"type": "integer"
},
"connection_count": {
"type": "integer"
},
"current_company": {
"type": "string"
},
"current_company_urn": {
"type": "string"
},
"current_company_url": {
"type": "string",
"format": "uri"
},
"current_company_logo_url": {
"type": "string",
"format": "uri"
},
"top_education_school": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"urn": {
"type": "string"
},
"url": {
"type": "string",
"format": "uri"
},
"logo_url": {
"type": "string",
"format": "uri"
}
}
},
"top_skills": {
"type": "array",
"items": {
"type": "string"
}
},
"email": {
"type": [
"string",
"null"
]
}
}
},
"experience": {
"type": "array",
"items": {
"type": "object",
"properties": {
"title": {
"type": "string"
},
"company": {
"type": "string"
},
"location": {
"type": "string"
},
"description": {
"type": "string"
},
"duration": {
"type": "string"
},
"start_date": {
"type": "object",
"properties": {
"year": {
"type": "integer"
},
"month": {
"type": "string"
}
}
},
"end_date": {
"type": "object",
"properties": {
"year": {
"type": "integer"
},
"month": {
"type": "string"
}
}
},
"is_current": {
"type": "boolean"
},
"company_linkedin_url": {
"type": "string",
"format": "uri"
},
"company_logo_url": {
"type": "string",
"format": "uri"
},
"employment_type": {
"type": "string"
},
"company_id": {
"type": "string"
}
}
}
},
"education": {
"type": "array",
"items": {
"type": "object",
"properties": {
"school": {
"type": "string"
},
"duration": {
"type": "string"
},
"school_linkedin_url": {
"type": "string",
"format": "uri"
},
"school_logo_url": {
"type": "string",
"format": "uri"
},
"school_id": {
"type": "string"
},
"start_date": {
"type": "object",
"properties": {
"year": {
"type": "integer"
}
}
},
"end_date": {
"type": "object",
"properties": {
"year": {
"type": "integer"
}
}
}
}
}
},
"certifications": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"issuer": {
"type": "string"
},
"issueDate": {
"type": "string"
}
}
}
},
"languages": {
"type": "array",
"items": {
"type": "object",
"properties": {
"language": {
"type": "string"
},
"proficiency": {
"type": "string"
}
}
}
},
"causes": {
"type": "array",
"items": {
"type": "string"
}
},
"posts": {
"type": "array",
"items": {
"type": "object",
"properties": {
"post_id": {
"type": "string"
},
"urn": {
"type": "string"
},
"text": {
"type": "string"
},
"content_type": {
"type": "string",
"enum": [
"text",
"image",
"video",
"document",
"poll",
"article"
]
},
"published_at": {
"type": "string",
"format": "date-time"
},
"post_url": {
"type": "string",
"format": "uri"
},
"hashtags": {
"type": "array",
"items": {
"type": "string"
}
},
"mentions": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"urn": {
"type": "string"
},
"profile_url": {
"type": "string",
"format": "uri"
}
}
}
},
"media": {
"type": "array",
"items": {
"type": "object",
"properties": {
"type": {
"type": "string",
"enum": [
"image",
"video",
"document",
"link"
]
},
"url": {
"type": "string",
"format": "uri"
},
"thumbnail_url": {
"type": "string",
"format": "uri"
},
"title": {
"type": "string"
}
}
}
},
"engagement": {
"type": "object",
"properties": {
"reactions_count": {
"type": "integer"
},
"likes_count": {
"type": "integer"
},
"comments_count": {
"type": "integer"
},
"shares_count": {
"type": "integer"
},
"impressions_count": {
"type": "integer"
}
}
}
}
}
}
},
"required": [
"basic_info",
"experience",
"education"
]
}
},
"machine": {
"basic_info": {
"fullname": "Jonathan Myrvik",
"first_name": "Jonathan",
"last_name": "Myrvik",
"headline": "Department Manager at The Fresh Market",
"public_identifier": "jonathan-myrvik-3baa01109",
"profile_url": "https://www.linkedin.com/in/jonathan-myrvik-3baa01109",
"profile_picture_url": null,
"background_picture_url": null,
"about": "I am a highly driven and organized individual. I possess a strong ability to multi task and lead team with great leadership skills.<br>My tenure in the service and hospitality industry has been defined by driving my business, training and recruiting top talent, along with maintaining a level and standard of excellence.",
"location": {
"country": "United States",
"city": "Tampa",
"full": "Tampa, Florida, United States",
"postal_code": null,
"country_code": "US"
},
"creator_hashtags": [],
"is_creator": null,
"is_influencer": null,
"is_premium": null,
"open_to_work": null,
"created_timestamp": null,
"show_follower_count": null,
"memorialized": null,
"is_top_voice": null,
"primary_locale": null,
"urn": null,
"follower_count": 90,
"connection_count": 87,
"current_company": null,
"current_company_urn": null,
"current_company_url": null,
"current_company_logo_url": null,
"top_education_school": null,
"top_skills": null,
"email": null
},
"experience": [
{
"title": "Restaurant and Culinary Manager",
"company": "Bahama Breeze",
"location": null,
"description": null,
"duration": null,
"start_date": {
"year": 2018,
"month": "4"
},
"end_date": {
"year": 2023,
"month": "1"
},
"is_current": false,
"company_linkedin_url": null,
"company_logo_url": null,
"employment_type": null,
"company_id": "3860789"
},
{
"title": "Chef",
"company": "Nordstrom",
"location": "Tampa/St. Petersburg, Florida Area",
"description": "Relocated to assist with remodel of full service operation. Assisted with developing menu ideas and concepts. Maintained an excellence in food costs, quality, and standards.",
"duration": null,
"start_date": {
"year": 2013,
"month": "3"
},
"end_date": {
"year": 2015,
"month": "7"
},
"is_current": false,
"company_linkedin_url": null,
"company_logo_url": null,
"employment_type": "Full-time",
"company_id": "3379"
},
{
"title": "Chef/Manager",
"company": "Nordstrom",
"location": null,
"description": "Training and developing staff and team members.\nManaging food and labor costs\nDeveloping menu items and specifications\nEnsuring recipe adherence\nAssisted with training and opening of numerous concepts",
"duration": null,
"start_date": {
"year": 2004,
"month": "11"
},
"end_date": {
"year": 2018,
"month": "4"
},
"is_current": false,
"company_linkedin_url": null,
"company_logo_url": null,
"employment_type": "Full-time",
"company_id": "3379"
},
{
"title": "Chef",
"company": "Nordstrom",
"location": "Greater Atlanta Area",
"description": "Successfully managed two operations while upholding the standard and level of excellence. Increased both operations by 12% in annual sales.",
"duration": null,
"start_date": {
"year": 2010,
"month": "5"
},
"end_date": {
"year": 2013,
"month": "3"
},
"is_current": false,
"company_linkedin_url": null,
"company_logo_url": null,
"employment_type": "Full-time",
"company_id": "3379"
},
{
"title": "Executive Chef",
"company": "Aramark Business Dining",
"location": "Tampa/St. Petersburg, Florida Area",
"description": null,
"duration": null,
"start_date": {
"year": 2015,
"month": "12"
},
"end_date": {
"year": 2017,
"month": "4"
},
"is_current": false,
"company_linkedin_url": null,
"company_logo_url": null,
"employment_type": "Full-time",
"company_id": null
}
],
"education": [
{
"school": "Tampa Bay Culinary Academy",
"duration": null,
"school_linkedin_url": null,
"school_logo_url": null,
"school_id": null,
"start_date": {
"year": 2002
},
"end_date": {
"year": 2004
}
},
{
"school": "University of Memphis",
"duration": null,
"school_linkedin_url": null,
"school_logo_url": null,
"school_id": null,
"start_date": {
"year": 1999
},
"end_date": {
"year": 2001
}
}
],
"certifications": [
{
"name": "Serv Safe Certified",
"issuer": "FoodHandler",
"issueDate": null
}
],
"languages": [
{
"language": "English",
"proficiency": null
}
],
"causes": [],
"posts": []
}
}

Genuine output from a live run. Note the real-world gaps: no experience row is flagged is_current: true, and top_skills, email and posts came back empty — while all five roles, both schools, one certification and one language are populated.

Pricing

Pay per result — $0.005 per profile ($5 per 1,000) returned to the dataset. You pay only for rows returned — misses are free.

EventPrice
Actor startFree
Profile returned (per dataset row)$0.005

Profiles that can't be resolved are not billed. Pricing is on top of your Apify platform usage.

Integrations & API

Results are stored in a standard Apify dataset — export as CSV, JSON, XML or Excel, or fetch on demand through the Apify API. The Actor also plugs into Apify's integrations (Make, Zapier, n8n, webhooks) and can be called from any MCP client to give an AI agent live people data.

FAQ

Do I need a LinkedIn account or cookies? No. Extraction runs on the Neuralverge backend — you never provide credentials or a session.

Can I pass a username instead of a URL? Yes — a bare handle like williamhgates works as well as a full profile URL.

Does it return emails? An email is included only when present in the profile data. A dedicated LinkedIn email actor is available separately.

Am I charged if a profile isn't found? No. You're billed only for rows returned to the dataset.


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.