# Remote Data and Engineering Jobs Feed

**Use case:** 

Pull fresh remote data and engineering postings from Himalayas with salary, seniority and apply links included. $1.50 per 1,000 postings, misses are free.

## Input

```json
{
  "searches": [
    "Data Science",
    "data engineer"
  ],
  "testRun": false,
  "onlyFound": false,
  "includeKeywords": [],
  "excludeKeywords": [],
  "maxJobsPerQuery": 50,
  "titleKeywords": [],
  "excludeTitleKeywords": [],
  "locations": [],
  "seniority": [],
  "employmentType": [],
  "salaryDisclosedOnly": false,
  "skipDuplicateJobs": true,
  "columns": [
    "searchTerm",
    "jobCount",
    "pagesScanned",
    "truncated",
    "jobs",
    "jobId",
    "title",
    "companyName",
    "companySlug",
    "companyLogo",
    "employmentType",
    "seniority",
    "salaryMin",
    "salaryMax",
    "salaryPeriod",
    "currency",
    "salaryText",
    "locationRestrictions",
    "worldwide",
    "categories",
    "parentCategories",
    "publishedAt",
    "expiresAt",
    "applicationLink",
    "summary",
    "description"
  ],
  "expandRows": true,
  "maxConcurrency": 5,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "query": {
    "label": "Search submitted",
    "format": "string"
  },
  "found": {
    "label": "Found?",
    "format": "boolean"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "message": {
    "label": "Details",
    "format": "string"
  },
  "searchTerm": {
    "label": "Search submitted",
    "format": "text"
  },
  "jobCount": {
    "label": "Postings returned",
    "format": "number"
  },
  "pagesScanned": {
    "label": "Feed pages scanned",
    "format": "number"
  },
  "truncated": {
    "label": "More results were available",
    "format": "boolean"
  },
  "jobs": {
    "label": "All postings found (full list)",
    "format": "array"
  },
  "jobId": {
    "label": "Job ID (company/slug)",
    "format": "text"
  },
  "title": {
    "label": "Job title",
    "format": "text"
  },
  "companyName": {
    "label": "Company",
    "format": "text"
  },
  "companySlug": {
    "label": "Company slug",
    "format": "text"
  },
  "companyLogo": {
    "label": "Company logo",
    "format": "image"
  },
  "employmentType": {
    "label": "Employment type",
    "format": "text"
  },
  "seniority": {
    "label": "Seniority level(s)",
    "format": "array"
  },
  "salaryMin": {
    "label": "Salary — min",
    "format": "number"
  },
  "salaryMax": {
    "label": "Salary — max",
    "format": "number"
  },
  "salaryPeriod": {
    "label": "Salary period",
    "format": "text"
  },
  "currency": {
    "label": "Currency",
    "format": "text"
  },
  "salaryText": {
    "label": "Pay range (formatted)",
    "format": "text"
  },
  "locationRestrictions": {
    "label": "Location restrictions",
    "format": "array"
  },
  "worldwide": {
    "label": "Open worldwide?",
    "format": "boolean"
  },
  "categories": {
    "label": "Categories (granular)",
    "format": "array"
  },
  "parentCategories": {
    "label": "Categories (department)",
    "format": "array"
  },
  "publishedAt": {
    "label": "Posted on",
    "format": "date"
  },
  "expiresAt": {
    "label": "Listing expires",
    "format": "date"
  },
  "applicationLink": {
    "label": "Job link",
    "format": "link"
  },
  "summary": {
    "label": "Summary",
    "format": "text"
  },
  "description": {
    "label": "Full description",
    "format": "text"
  },
  "scrapedAt": {
    "label": "Checked at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Himalayas Jobs Lookup: Remote Postings by Keyword & Category](https://apify.com/accountable_eel/himalayas-jobs-lookup.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/accountable_eel/himalayas-jobs-lookup.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/accountable_eel/himalayas-jobs-lookup.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).
