Himalayas Jobs Scraper (No Login) + Full Descriptions

$0.1/1K jobs | Extract Himalayas remote jobs in bulk with full descriptions, employment type and salary when listed. Filter by keyword, country and posting age. No login or API key. Independent, unofficial tool. Not affiliated with or endorsed by Himalayas.

Himalayas Remote Jobs Bulk Scraper

Our scraper reads remote jobs from Himalayas, the remote-jobs platform, and lets you filter by keyword, the countries a job is open to, employment type and posting age. Every row carries the complete original description as text and HTML, plus the title, employer, posting date and a link to the posting on Himalayas. It is ideal for remote job alerts, hiring-market analytics, and remote job boards and newsletters. Job data is from Himalayas, and each row links back to its Himalayas posting.

• Want Himalayas together with other remote boards in one run? Our Remote Jobs Scraper — RemoteOK, Remotive, WWR, Himalayas reads Himalayas, RemoteOK, Remotive and We Work Remotely in one run.
• Want to search many job boards at once? Our All Jobs Scraper — 21 Job Boards in One searches many boards in one run.
• Browse all our job-board scrapers: https://apify.com/nomad-agent

Key Benefits

• No login or API key: nothing to set up and no account at risk.
• Low pricing: $0.10 per 1,000 jobs, plus a flat $0.00005 per run.
• Complete descriptions: a posting whose description cannot be verified is left out, so every row has the full original text.
• Fresh data: we refresh the newest Himalayas postings about three times an hour, so a run sees jobs from the last few hours.
• No repeats across runs: schedule the same search daily and postings you already received are skipped.

How It Works

1. Provide your search. Every field is optional:
   • queries (e.g., software engineer): a posting matches when its title or description contains every word of a query, as whole words. Several queries match any of them.
   • locations (e.g., United States): a city, region, country name or two-letter country code.
   • locationTypes (remote, hybrid, onsite), employmentTypes and postedWithin (e.g., 7d, any) narrow it further. While one is set, a posting whose source does not state that fact is left out.
2. Run the Actor. Filters are applied to all stored postings before the limit is counted, so you get the newest matches. The RUN-SUMMARY record of the run says what was applied.
3. Run the same search again and you get only postings you have not received yet. Set dedupe.enabled to false to see everything again.

More settings:

• maxItems - Maximum number of jobs to return. Default is 50. Zero, or anything above 200, means 200.
• dedupe - Skips postings already delivered to your account for the same search. Set key to keep separate alert histories.

A rolling collection, not the whole site. Each refresh reads the newest 200 Himalayas postings and we keep them, so the collection holds many thousands of recent remote jobs, but not the whole catalogue, which Himalayas puts at over 100,000. Narrow a broad search with queries, locations and postedWithin.

Himalayas lists the countries a job is open to, not a workplace, so the locations field of each row is empty. The locations filter matches those countries: United States finds jobs open to US applicants, and a job that lists no country cannot match a country filter.

Pay is published on some postings only; when Himalayas shows no amount, salary is empty. deadline is the date Himalayas lists the job until, 60 days after posting, not an application cutoff.

A job that has closed can stay in the collection for up to 30 days, so confirm it is still open on the original page before you apply.

Data You'll Receive

• Job details: title, complete description (text and HTML), posting date, listing end date, employment type and salary when published.
• Employer: company name.
• Work arrangement: always remote; the countries a job is open to feed the locations filter.
• Links: the original Himalayas posting URL.
• Stable source and id fields to deduplicate across runs.
• Applicant regions: applicantLocations lists where the posting says an applicant may live (null when the source states nothing, [] when it states no restriction); locations stays the physical place.

Sample output data

Here is an example job from this Actor:

{
  "schemaVersion": "nomad-agent-job-row-v4",
  "source": "himalayas",
  "id": "189ae8543d84f83ea1dc63c485978e1ec926434081cd5a9d5c4ca10757e9b5f8",
  "url": "https://himalayas.app/companies/bright-vision-technologies/jobs/azure-platform-engineer-2624209033",
  "title": "Azure Platform Engineer",
  "company": "Bright Vision Technologies",
  "locations": [],
  "applicantLocations": null,
  "postedAt": "2026-10-13T21:17:44Z",
  "deadline": "2026-12-12",
  "description": "Bright Vision Technologies\nis a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.\nThis is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.\nJob Title:\nAzure Platform Engineer\nLocation:\n100% Remote (U.S.)\nPosition Type:\nFull-time, Direct W2\nSalary Range:\n$133,000 … (shortened here)",
  "descriptionHtml": "<a href=\"https://himalayas.app/companies/bright-vision-technologies\">Bright Vision Technologies</a> is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.<br><br>This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.<br><br><b>Job Title:</b> Azure Platform En … (shortened here)",
  "workType": "remote",
  "salary": "USD 133000-158000 annual",
  "employmentTypes": [
    "Full-time"
  ],
  "hiringContacts": []
}

Himalayas Jobs API

Results are stored in a dataset that you can export as CSV, JSON or Excel, or read on demand through the Apify API. Schedule the Actor, or connect it to Make, n8n, Zapier or an MCP client through the Apify integrations.

Support and Feedback

We improve these scrapers from your feedback. If something breaks or you need a filter:

• Open an issue on the Actor's Issues tab
• If this Actor saved you time, a short review on the Store helps other users find it.

Run evidence

• Fill rates measured on 2026-10-13 (UTC) over the newest 200 stored Himalayas postings, with the code of this Actor run locally against the stored postings (not a platform run): complete description 200 of 200, locations 0 of 200, posting date 200 of 200, listing end date (always 60 days after posting) 200 of 200, work arrangement 200 of 200, employment type 200 of 200, salary 98 of 200, hiring contact 0 of 200.
• Try-it prefill (software engineer, United States, last 7 days, 20 jobs) returned 20 rows, 20 with complete descriptions, in the same local check.

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Independent tool. We built and run this Actor ourselves. Himalayas does not operate, sponsor or endorse it, and its name is used only to say which site the data comes from.