LinkedIn Get company jobs API

Get LinkedIn company job listings

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GET/v1/linkedin/get_company_jobs

company_idstringrequired

pageintegeroptional

Page number, default is 1

sort_bystringoptional

Sort order (optional): recent (newest), relevant (relevant)

date_postedstringoptional

Date posted filter (optional): anytime, past_month, past_week, past_24_hours

experience_levelstringoptional

Experience level (optional): internship, entry_level, associate, mid_senior, director, executive

remotestringoptional

Work location type (optional): onsite, remote, hybrid

job_typestringoptional

Job type (optional): full_time, part_time, contract, temporary, volunteer, internship, other

easy_applystringoptional

Easy apply filter (optional)

under_10_applicantsstringoptional

Fewer than 10 applicants filter (optional)

fair_chance_employerstringoptional

Fair chance employer filter (optional)

LinkedIn API Use Cases

Get company jobs Data Collection

Retrieve get company jobs 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 company jobs 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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