# Monitor new remote machine learning jobs

**Use case:** 

Monitor remote machine learning jobs and emit only listings not seen in previous runs, ready for schedules, webhooks, and alerts.

## Input

```json
{
  "keyword": "machine learning engineer",
  "country": "united states",
  "city": "",
  "numberOfResults": 100,
  "maxResultsTotal": 100,
  "dataDepth": "standard",
  "postedWithinDays": 7,
  "remoteMode": "remote",
  "jobTypes": [],
  "job": [],
  "startUrls": [],
  "jobKeys": [],
  "sortType": "date",
  "radiusMiles": 50,
  "experienceLevel": "",
  "requireSalary": false,
  "minimumAnnualSalary": 0,
  "strictKeywordMatch": false,
  "outputFormat": "nested",
  "onlyNewJobs": true,
  "incrementalStoreName": "remote-machine-learning-jobs",
  "seenJobTtlDays": 30,
  "uniqueCompanies": false,
  "deduplicateJobs": true,
  "includeDataQuality": true,
  "includeEmails": true,
  "failOnNoResults": false,
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "disableProxy": false,
  "maxConcurrency": 3,
  "maxRequestRetries": 3,
  "overfetchFactor": 5,
  "maxScanResults": 0,
  "keepBrowserOpen": false,
  "manualSolveWaitMs": 120000,
  "preferHttpFallback": true,
  "httpFallbackOnly": true
}
```

## Output

```json
{
  "schemaVersion": {
    "label": "Schema version",
    "format": "string"
  },
  "searchKeyword": {
    "label": "Search keyword",
    "format": "string"
  },
  "title": {
    "label": "Job title",
    "format": "string"
  },
  "subTitle": {
    "label": "Company",
    "format": "string"
  },
  "formattedLocation": {
    "label": "Location",
    "format": "string"
  },
  "location.city": {
    "label": "Job City",
    "format": "string"
  },
  "location.state": {
    "label": "Job State",
    "format": "string"
  },
  "location.latitude": {
    "label": "Latitude",
    "format": "number"
  },
  "location.longitude": {
    "label": "Longitude",
    "format": "number"
  },
  "searchQuery.normalizedLocation": {
    "label": "Search Location",
    "format": "string"
  },
  "searchQuery.radiusMiles": {
    "label": "Radius Miles",
    "format": "integer"
  },
  "salary.salaryText": {
    "label": "Salary",
    "format": "string"
  },
  "jobType": {
    "label": "Job type",
    "format": "string"
  },
  "workArrangement": {
    "label": "Work arrangement",
    "format": "string"
  },
  "experienceLevel": {
    "label": "Experience level",
    "format": "string"
  },
  "jobDate": {
    "label": "Posted date",
    "format": "string"
  },
  "indeedJobLink": {
    "label": "Indeed job URL",
    "format": "string"
  },
  "dataQuality.completenessScore": {
    "label": "Quality Score",
    "format": "number"
  },
  "dataQuality.hasSalary": {
    "label": "Has Salary",
    "format": "boolean"
  },
  "dataQuality.benefitsCount": {
    "label": "Benefits Count",
    "format": "number"
  },
  "dataQuality.skillsCount": {
    "label": "Skills Count",
    "format": "number"
  },
  "benefits": {
    "label": "Benefits",
    "format": "array"
  },
  "skills": {
    "label": "Skills",
    "format": "array"
  },
  "emails": {
    "label": "Public contact emails",
    "format": "array"
  },
  "jobDescription": {
    "label": "Job description text",
    "format": "string"
  },
  "company.companyOverviewLink": {
    "label": "Company Profile",
    "format": "link"
  },
  "company.companyReviewLink": {
    "label": "Company Reviews",
    "format": "link"
  },
  "jobKey": {
    "label": "Indeed job key",
    "format": "string"
  },
  "attributes": {
    "label": "Job attributes",
    "format": "array"
  },
  "occupations": {
    "label": "Occupations",
    "format": "array"
  },
  "hiringInsights": {
    "label": "Hiring insights",
    "format": "object"
  },
  "applicationInfo": {
    "label": "Application info",
    "format": "object"
  },
  "source": {
    "label": "Source metadata",
    "format": "object"
  },
  "jobMetadata": {
    "label": "Job metadata",
    "format": "object"
  }
}
```

## About this Actor

This example demonstrates how to use [Indeed Jobs Scraper API - Salary, ATS & Company Data](https://apify.com/newbs/indeed-job-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/newbs/indeed-job-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/newbs/indeed-job-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).