# Every Open Job at a Company on LinkedIn

**Use case:** 

List every open role at up to 10 companies on LinkedIn by name or company id. Titles, locations, seniority and salaries. Export to CSV, JSON or Excel.

## Input

```json
{
  "operation": "companyJobs",
  "query": "software engineer",
  "location": "United States",
  "geoId": "102571732",
  "datePosted": "month",
  "remoteOnly": false,
  "companies": [
    "microsoft"
  ],
  "includeDetails": true,
  "sortBy": "relevance",
  "maxResults": 100,
  "country": "us"
}
```

## Output

```json
{
  "employerLogo": {
    "label": "🖼️ Employer logo",
    "format": "string"
  },
  "jobTitle": {
    "label": "💼 Job title",
    "format": "string"
  },
  "employerName": {
    "label": "🏢 Employer",
    "format": "string"
  },
  "location": {
    "label": "📍 Location",
    "format": "string"
  },
  "postedAtDate": {
    "label": "🗓️ Posted (exact date)",
    "format": "string"
  },
  "salaryString": {
    "label": "💰 Salary",
    "format": "string"
  },
  "minSalary": {
    "label": "💰 Min salary",
    "format": "number"
  },
  "maxSalary": {
    "label": "💰 Max salary",
    "format": "number"
  },
  "salaryPeriod": {
    "label": "💰 Salary period",
    "format": "string"
  },
  "salaryCurrency": {
    "label": "💱 Salary currency",
    "format": "string"
  },
  "salary": {
    "label": "💰 Salary (single)",
    "format": "number"
  },
  "seniorityLevel": {
    "label": "📈 Seniority",
    "format": "string"
  },
  "employmentType": {
    "label": "⏱️ Employment type",
    "format": "string"
  },
  "employmentTypes": {
    "label": "⏱️ Employment types",
    "format": "array"
  },
  "jobFunction": {
    "label": "🧭 Job function",
    "format": "string"
  },
  "industries": {
    "label": "🏭 Industries",
    "format": "array"
  },
  "applicantsCount": {
    "label": "👥 Applicants",
    "format": "integer"
  },
  "applicantsLabel": {
    "label": "👥 Applicants label",
    "format": "string"
  },
  "linkedinBadges": {
    "label": "🏅 LinkedIn badges",
    "format": "array"
  },
  "applyLink": {
    "label": "🔗 Apply link",
    "format": "string"
  },
  "applyIsDirect": {
    "label": "➡️ Direct apply",
    "format": "boolean"
  },
  "applyOptions": {
    "label": "🔗 Apply options",
    "format": "array"
  },
  "isRemote": {
    "label": "🏠 Remote",
    "format": "boolean"
  },
  "jobDescription": {
    "label": "📄 Description",
    "format": "string"
  },
  "city": {
    "label": "🏙️ City",
    "format": "string"
  },
  "state": {
    "label": "🗺️ State",
    "format": "string"
  },
  "country": {
    "label": "🌍 Country",
    "format": "string"
  },
  "latitude": {
    "label": "📐 Latitude",
    "format": "number"
  },
  "longitude": {
    "label": "📐 Longitude",
    "format": "number"
  },
  "employerLinkedinUrl": {
    "label": "🔗 Employer LinkedIn",
    "format": "string"
  },
  "linkedinCompanyId": {
    "label": "🏷️ LinkedIn company ID",
    "format": "string"
  },
  "employerWebsite": {
    "label": "🌐 Employer website",
    "format": "string"
  },
  "jobPublisher": {
    "label": "📰 Publisher",
    "format": "string"
  },
  "jobId": {
    "label": "🆔 Job ID",
    "format": "string"
  },
  "jobUid": {
    "label": "🔢 LinkedIn posting ID",
    "format": "string"
  },
  "benefits": {
    "label": "🎁 Benefits",
    "format": "array"
  },
  "benefitsStrings": {
    "label": "🎁 Benefits text",
    "format": "array"
  },
  "highlights": {
    "label": "✨ Highlights",
    "format": "object"
  },
  "googleLink": {
    "label": "🔗 Google link",
    "format": "string"
  },
  "onetSoc": {
    "label": "🗂️ O*NET SOC",
    "format": "string"
  },
  "onetJobZone": {
    "label": "🗂️ O*NET job zone",
    "format": "string"
  },
  "employerReviews": {
    "label": "⭐ Employer reviews",
    "format": "array"
  },
  "postedAt": {
    "label": "🕒 Posted (relative)",
    "format": "string"
  },
  "postedAtTimestamp": {
    "label": "🗓️ Posted timestamp",
    "format": "integer"
  },
  "postedAtUtc": {
    "label": "🗓️ Posted UTC",
    "format": "string"
  },
  "postedAtLinkedinLabel": {
    "label": "🏷️ LinkedIn date label",
    "format": "string"
  },
  "position": {
    "label": "📌 Result position",
    "format": "integer"
  },
  "_operation": {
    "label": "⚙️ Operation",
    "format": "string"
  },
  "_fetchedAt": {
    "label": "🕒 Fetched at",
    "format": "string"
  },
  "_sourceQuery": {
    "label": "🔍 Source query",
    "format": "string"
  },
  "_sourceCompany": {
    "label": "🏢 Source company",
    "format": "string"
  },
  "_sourceJobIds": {
    "label": "📋 Source job ids",
    "format": "string"
  },
  "_sourceTarget": {
    "label": "🎯 Source target",
    "format": "string"
  },
  "status": {
    "label": "✅ Status",
    "format": "string"
  },
  "errorMessage": {
    "label": "⚠️ Error",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Jobs Scraper — Search, Company Jobs & Job Details](https://apify.com/sian.agency/linkedin-jobs-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/sian.agency/linkedin-jobs-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/sian.agency/linkedin-jobs-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).