LinkedIn API/User/Get user profile
LinkedIn · User

LinkedIn Get user profile API

Get LinkedIn user profile information

GET/v1/linkedin/get_user_profile
usernamestringrequired

LinkedIn username, obtainable from the profile URL For example: https://www.linkedin.com/in/jack — username is jack

include_follower_and_connectionbooleanoptional

Include follower and connection count (optional)

include_experiencesbooleanoptional

Include work experience (optional)

include_skillsbooleanoptional

Include skills (optional)

include_certificationsbooleanoptional

Include certifications (optional)

include_publicationsbooleanoptional

Include publications (optional)

include_educationsbooleanoptional

Include education background (optional)

include_volunteersbooleanoptional

Include volunteer experience (optional)

include_honorsbooleanoptional

Include honors and awards (optional)

include_interestsbooleanoptional

Include interests (optional)

include_biobooleanoptional

Include personal bio (optional)

LinkedIn API Use Cases

Get user profile Data Collection

Retrieve get user profile data from LinkedIn at scale for analytics and research.

Competitive Intelligence

Monitor LinkedIn activity and benchmark against competitors using real-time data.

Automation & Integration

Integrate LinkedIn get user profile data into your product, dashboard, or data pipeline.

Frequently Asked Questions

Is the LinkedIn API official?

No, KeyAPI provides an unofficial LinkedIn API that lets you access LinkedIn data through our platform. We handle the complexities of data collection so you can focus on building your application.

How current is the data?

We provide real-time data from LinkedIn. When you make a request, we fetch the latest information available.

How do credits work?

Each API endpoint consumes credits. Most endpoints cost just 1 credit. All pricing is transparent in our API documentation with no hidden fees.

Can I use this for AI model training?

Yes. KeyAPI provides structured, AI-ready data ideal for training datasets, fine-tuning LLMs, and building AI pipelines. Our historical archives are particularly valuable for large-scale training workloads.

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