# Build an Entry-Level Job Corpus

**Use case:** 

Collect entry-level postings from one company as a clean job corpus for analysis, matching, or review. Commented?

## Input

```json
{
  "company": "airbnb",
  "keywords": "software engineer",
  "location": "United States",
  "datePosted": "any",
  "jobType": "any",
  "experienceLevel": "entry",
  "remoteOnly": false,
  "maxResults": 10,
  "enrichJobDetails": true,
  "enrichCompany": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

## Output

```json
{
  "title": {
    "label": "Job title"
  },
  "companyName": {
    "label": "Company"
  },
  "location": {
    "label": "Location"
  },
  "postedAt": {
    "label": "Posted",
    "format": "date"
  },
  "workplaceType": {
    "label": "Workplace"
  },
  "employmentType": {
    "label": "Type"
  },
  "seniorityLevel": {
    "label": "Seniority"
  },
  "applicants": {
    "label": "Applicants"
  },
  "jobUrl": {
    "label": "URL",
    "format": "link"
  }
}
```

## About this Actor

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


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

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

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).