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URL: https://apify.com/minyo/linkedin-jobs-scraper

⇱ Linkedin Jobs Scraper · Apify


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$20.00/month + usage

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Linkedin Jobs Scraper

A powerful and customizable scraper that extracts public LinkedIn job data — no login or cookies required. Get clean, structured results with job titles, companies, locations, salaries, and more. Fast, reliable, and proxy-ready (coming soon). Perfect for analysis and automation.

Pricing

$20.00/month + usage

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👁 minyo

minyo

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7 months ago

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💼 LinkedIn Jobs Scraper

⭐ What does LinkedIn Jobs Scraper do?

LinkedIn Jobs Scraper is a powerful, customizable, and efficient scraper designed to extract public job data directly from LinkedIn — no login or cookies required. It delivers clean and structured data ready for analysis, automation, or integration into your own systems.

You can extract detailed job information such as:

  • 🧑‍💼 Job title
  • 🏢 Company name
  • 🗺️ Location
  • 💻 Remote availability
  • 📝 Job description
  • 💰 Compensation details
  • Date posted
  • 🔗 Job URL and direct application link
  • 🏷️ Job type, function, level and industry

🔥 Why use LinkedIn Jobs Scraper?

  1. 🎯 Focused on LinkedIn — specifically optimized for LinkedIn’s job data structure.
  2. 🧠 No login or cookies needed — it runs entirely with public listings, making setup instant.
  3. 🤖 Smart User-Agent rotation — automatically generates realistic browser fingerprints for every run.
  4. Fast and reliable — scrapes job data efficiently while minimizing compute unit usage.
  5. 🔒 Proxy support coming soon — although it works perfectly fine without proxies.
  6. 📊 Clean and standardized output — easy to process, analyze, or integrate with any system.
  7. 🧩 Apify-native integration — runs smoothly inside Apify (Dataset, KV Store, API & webhooks).

💡 Common use cases

  • 📈 Market analysis — identify hiring trends and job demand by region or industry.
  • 💼 HR automation — feed job data into CRMs, ATS or recruitment tools.
  • 🔍 Competitive research — track where your competitors are hiring and which roles they prioritize.
  • 🧭 Career exploration — discover new opportunities that match your goals or location.
  • 📚 Academic / data research — analyze employment patterns or salary evolution.

🚀 How to use

You can run the scraper in two simple ways:

1️⃣ Run from Apify Console

  1. Open the actor in your Apify Dashboard.
  2. Fill in your desired search term and location (required).
  3. Adjust optional filters like distance, job_type, is_remote, or company IDs.
  4. Click Save & Start.
  5. Once finished, open the Dataset tab to browse or download your results.

2️⃣ Run via API

You can also start the scraper programmatically with an HTTP request:

curl"https://api.apify.com/v2/acts/username~linkedin-jobs-scraper/runs?token=YOUR_APIFY_TOKEN"\
-d'{
"search_term": "Frontend Developer",
"location": "Madrid, Spain",
"distance": 30
}'

⚙️ Input configuration

Below is an example of how to configure your input:

{
"search_term":"Software Engineer",
"location":"Barcelona, Spain",
"distance":50,
"results_wanted":100,
"job_type":"fulltime",
"is_remote":false,
"linkedin_company_ids":[76987811,1815218],
"easy_apply":false,
"published_at":"72",
"fetch_description":true
}

Input fields

FieldTypeDefaultDescription
search_termstringKeywords to search, e.g. "data analyst", "project manager".
locationstringBarcelona, SpainRequired. City, region or country.
distanceinteger50Search radius in miles.
results_wantedinteger50Maximum number of job results to retrieve (1–1000).
job_typestringFilter by job type (fulltime, parttime, internship, etc.).
is_remotebooleanfalseIf true, only returns remote jobs.
linkedin_company_idsarray[]Filter by specific LinkedIn company IDs.
easy_applybooleanfalseFilter for jobs with LinkedIn “Easy Apply”.
published_atstring"72"Only include jobs posted in the last N hours (24, 48, 72, etc.).
fetch_descriptionbooleantrueFetch full job descriptions and details.

⚠️ Important: You cannot combine easy_apply and published_at in the same run due to LinkedIn limitations.


📤 Example output

Each item represents a job posting and follows this structure:

{
"id":"li-4308729964",
"title":"Software Engineer",
"company_name":"Tech Solutions",
"company_url":"https://www.linkedin.com/company/tech-solutions/",
"location":"Barcelona, Spain",
"is_remote":true,
"date_posted":"2025-10-07T09:24:00Z",
"job_url":"https://www.linkedin.com/jobs/view/4308729964/",
"job_url_direct":"https://www.linkedin.com/jobs-apply/4308729964",
"job_type":"fulltime",
"job_level":"Mid-Senior",
"job_function":"Engineering",
"company_industry":"Information Technology",
"company_logo":"https://media.licdn.com/logo.png",
"description":"We are looking for a software engineer to join our growing team...",
"emails":["hr@techsolutions.com"],
"compensation":{
"salary_source":"LinkedIn",
"interval":"yearly",
"min_amount":35000,
"max_amount":45000,
"currency":"EUR"
}
}

💾 Output format

  • All results are automatically pushed to your Apify Dataset.

  • A full JSON copy is also saved to the Key-Value Store as jobs.json.

  • You can export results directly as:

    • 📄 JSON
    • 📑 CSV
    • 📊 XLSX

💰 Pricing

The LinkedIn Jobs Scraper is available for $2/1000 results. It’s optimized for performance, so you can run many searches with minimal cost.

🧩 Proxy support coming soon — but the scraper already runs perfectly without proxies.


⚖️ Legal notice

This actor only extracts publicly available information from LinkedIn. Always comply with LinkedIn’s Terms of Service, data protection laws, and ethical scraping practices.


💬 Feedback & support

We are constantly improving LinkedIn Jobs Scraper. If you find a bug or have suggestions, please open an issue in the Apify console → Issues tab. Your feedback helps us make it better every day! 🚀


🇪🇸 LinkedIn Jobs Scraper (Versión en Español)

⭐ ¿Qué hace LinkedIn Jobs Scraper?

LinkedIn Jobs Scraper es una herramienta potente, personalizable y eficiente diseñada para extraer datos públicos de ofertas de trabajo directamente desde LinkedIn — sin necesidad de iniciar sesión ni usar cookies. Devuelve datos limpios y estructurados, listos para análisis, automatización o integración en tus propios sistemas.

Podrás obtener información detallada como:

  • 🧑‍💼 Título del puesto
  • 🏢 Nombre de la empresa
  • 🗺️ Ubicación
  • 💻 Disponibilidad remota
  • 📝 Descripción del trabajo
  • 💰 Detalles del salario o compensación
  • Fecha de publicación
  • 🔗 URL del empleo y enlace directo para aplicar
  • 🏷️ Tipo de contrato, nivel y sector

🔥 ¿Por qué usar LinkedIn Jobs Scraper?

  1. 🎯 Enfocado 100% en LinkedIn — optimizado específicamente para su estructura.
  2. 🧠 Sin login ni cookies — funciona solo con ofertas públicas, listo para usar.
  3. 🤖 Rotación automática de User-Agent — simula navegadores reales de forma inteligente.
  4. Rápido y confiable — obtiene datos de alta calidad minimizando el consumo.
  5. 🔒 Soporte para proxies próximamente — aunque ya funciona perfectamente sin ellos.
  6. 📊 Salida limpia y estandarizada — ideal para análisis, dashboards o integraciones.
  7. 🧩 Totalmente integrado con Apify — compatible con Datasets, KV Store, API y webhooks.

💡 Casos de uso

  • 📈 Análisis de mercado laboral — detecta tendencias y demanda de empleo.
  • 💼 Automatización de RRHH — alimenta CRMs o sistemas de reclutamiento.
  • 🔍 Investigación competitiva — analiza dónde y en qué roles contratan tus competidores.
  • 🧭 Exploración profesional — descubre oportunidades según tus habilidades o ubicación.
  • 📚 Investigación académica o económica — analiza salarios, sectores o evolución laboral.

🚀 Cómo usarlo

Puedes ejecutar el scraper de dos formas muy sencillas:

1️⃣ Desde la consola de Apify

  1. Abre el actor desde tu panel de Apify.
  2. Completa los campos search term y location (obligatorios).
  3. Ajusta los filtros opcionales: distance, job_type, is_remote, etc.
  4. Haz clic en Save & Start.
  5. Al finalizar, abre la pestaña Dataset para ver o descargar tus resultados.

2️⃣ Desde la API

También puedes ejecutarlo mediante una petición HTTP:

curl"https://api.apify.com/v2/acts/username~linkedin-jobs-scraper/runs?token=TU_TOKEN_APIFY"\
-d'{
"search_term": "Desarrollador Frontend",
"location": "Madrid, España",
"distance": 30
}'

⚙️ Ejemplo de configuración

{
"search_term":"Ingeniero de software",
"location":"Barcelona, España",
"distance":50,
"results_wanted":100,
"job_type":"fulltime",
"is_remote":false,
"linkedin_company_ids":[76987811,1815218],
"easy_apply":false,
"published_at":"72",
"fetch_description":true
}

⚠️ Importante: No se pueden combinar los filtros easy_apply y published_at en la misma ejecución por limitaciones de LinkedIn.


📤 Ejemplo de salida

{
"id":"li-4308729964",
"title":"Software Engineer",
"company_name":"Tech Solutions",
"location":"Barcelona, España",
"is_remote":true,
"date_posted":"2025-10-07T09:24:00Z",
"job_url":"https://www.linkedin.com/jobs/view/4308729964/",
"job_type":"fulltime",
"company_industry":"Tecnología de la Información",
"description":"Buscamos un ingeniero de software para unirse a nuestro equipo...",
"compensation":{
"interval":"año",
"min_amount":35000,
"max_amount":45000,
"currency":"EUR"
}
}

💰 Precio

LinkedIn Jobs Scraper está disponible por 2$/1000 resultados. Está optimizado para ser rápido y eficiente, por lo que puedes ejecutar muchas búsquedas con un coste muy bajo.

🧩 Soporte para proxies próximamente, aunque el scraper ya funciona perfectamente sin ellos.


⚖️ Aviso legal

Este actor solo extrae información pública disponible en LinkedIn. Cumple siempre con los Términos de Servicio de LinkedIn, las leyes de protección de datos y las buenas prácticas de scraping ético.


💬 Soporte y sugerencias

Estamos mejorando continuamente LinkedIn Jobs Scraper. Si encuentras un error o tienes sugerencias, abre un issue en la consola de Apify → pestaña Issues. ¡Tu feedback nos ayuda a hacerlo aún mejor! 🚀

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