# Read job posts: remote, level, salary and skills

**Use case:** 

Turn job posts from LinkedIn, Indeed or Glassdoor scrapers into remote or on-site, seniority, employment type, salary range and skills. Replace the sample jobs with your own, or pick a job scraper dataset.

## Input

```json
{
  "jobs": [
    {
      "title": "Senior Data Analyst",
      "company": "Example Co",
      "location": "Chicago, IL",
      "description": "Hybrid role: 3 days a week in our Chicago office. 5+ years of SQL and BI experience required. Full-time. Salary $110,000-$130,000 per year. We are unable to sponsor work visas."
    },
    {
      "title": "Warehouse Associate",
      "company": "Example Logistics",
      "location": "Dallas, TX",
      "description": "Entry level - no experience needed, we train you. Part-time evening shifts, in person at our Dallas warehouse. $18/hour."
    }
  ],
  "skills": [
    "Python",
    "SQL"
  ],
  "customLabels": [],
  "titleIncludes": [],
  "titleExcludes": [],
  "maxPerCompany": 0,
  "dedupeAcrossBoards": true,
  "minDescriptionChars": 120,
  "labelThreshold": 0.5,
  "maxItems": 0,
  "maxConcurrency": 10,
  "healthCheck": false
}
```

## Output

```json
{
  "title": {
    "label": "Job",
    "format": "text"
  },
  "company": {
    "label": "Company",
    "format": "text"
  },
  "location": {
    "label": "Location",
    "format": "text"
  },
  "postedAt": {
    "label": "Posted",
    "format": "date"
  },
  "workMode": {
    "label": "Work mode",
    "format": "text"
  },
  "experience": {
    "label": "Experience",
    "format": "text"
  },
  "employmentType": {
    "label": "Type",
    "format": "text"
  },
  "visa": {
    "label": "Visa",
    "format": "text"
  },
  "salaryText": {
    "label": "Salary",
    "format": "text"
  },
  "salaryAnnualMinUsd": {
    "label": "Annual min (USD)",
    "format": "number"
  },
  "salaryAnnualMaxUsd": {
    "label": "Annual max (USD)",
    "format": "number"
  },
  "skills": {
    "label": "Skills",
    "format": "text"
  },
  "customLabelsMatched": {
    "label": "Your labels",
    "format": "text"
  },
  "seniority": {
    "label": "Seniority (board)",
    "format": "text"
  },
  "applicants": {
    "label": "Applicants",
    "format": "number"
  },
  "url": {
    "label": "Link",
    "format": "link"
  },
  "error": {
    "label": "Error",
    "format": "text"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Job Posting Classifier — remote, visa, salary · $0.5/1k Actor is ready to run with the inputs already set for "Read job posts: remote, level, salary and skills". [Sign up or log in](https://console.apify.com/create-task-from-example/a4402fep2ULt7Lk2w) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Read job posts: remote, level, salary and skills" task

The Job Posting Classifier — remote, visa, salary · $0.5/1k Actor will start running based on the input automatically. You can also change all the input fields, like job postings, skills to look for, and more, to match your specific use case.

### 3. Receive the "Read job posts: remote, level, salary and skills" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as job, company, location, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Read job posts: remote, level, salary and skills" task via API](https://apify.com/leoworks/job-posting-classifier.md).

## About this Actor

This example demonstrates how to use [Job Posting Classifier — remote, visa, salary · $0.5/1k](https://apify.com/leoworks/job-posting-classifier.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/leoworks/job-posting-classifier.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/leoworks/job-posting-classifier.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`).