Himalayas Remote Jobs Scraper

Scrape remote jobs from Himalayas with rich, structured data: job title, company, salary range, seniority, location and timezone restrictions, categories, dates, full description and apply link. Filter by keyword, category, seniority, employment type or region, and bulk-export up to tens of thousands of live remote listings into clean JSON, CSV, Excel or XML. Fast and reliable.

What does Himalayas Remote Jobs Scraper do?

Himalayas Remote Jobs Scraper collects remote job listings and returns them as structured data. Filter to a niche or leave the filters empty to bulk-export the newest listings, then use the jobs, salaries, categories and descriptions for a job board, alerts, salary research or hiring-market analysis.

What data can you scrape from Himalayas?

• 🌍 Bulk remote jobs — export thousands of live listings with automatic pagination
• 🏢 Company — name, slug and logo
• 💰 Salary data — min, max, currency and period when provided
• 🎚️ Role details — employment type and seniority
• 🕒 Remote-specific fields — allowed locations and timezone restrictions
• 🏷️ Categories — categories and parent categories
• 📝 Descriptions — excerpt plus each job's full description (optional)
• 🔗 Links & dates — apply link, job URL, published and expiry dates

Use cases

• Remote-job boards & aggregators — feed fresh, structured remote listings into your own site
• Job alerts — monitor new remote roles by keyword, category or seniority
• Salary research — track remote pay ranges across roles and regions
• Hiring-market analysis — measure remote demand by category over time
• Lead generation — find companies actively hiring for remote skills

How to scrape Himalayas remote jobs

1. Add Himalayas Remote Jobs Scraper to your Apify account.
2. Optionally set filters — searchQuery, category, seniority, employmentType, location.
3. Set maxItems to cap how many jobs to return (leave filters empty to bulk-export the newest).
4. Toggle includeDescription to add each job's full description.
5. Run the Actor and export the results as JSON, CSV, Excel or XML — or pull them via the API.

Input

{
  "maxItems": 500,
  "searchQuery": "python",
  "seniority": "senior",
  "location": "united states",
  "includeDescription": true
}

Leave the filters empty to bulk-export the newest listings.

Output

{
  "title": "Senior Backend Engineer",
  "company": "Acme",
  "companySlug": "acme",
  "companyLogo": "https://himalayas.app/…/acme-logo.png",
  "employmentType": "Full Time",
  "seniority": ["Senior"],
  "minSalary": 120000,
  "maxSalary": 160000,
  "salaryCurrency": "USD",
  "salaryPeriod": "yearly",
  "locationRestrictions": ["United States"],
  "timezoneRestrictions": ["EST"],
  "categories": ["Engineering", "Backend"],
  "parentCategories": ["Software Development"],
  "excerpt": "We're hiring a senior backend engineer…",
  "pubDate": 1785312000,
  "expiryDate": 1787904000,
  "applicationLink": "https://himalayas.app/…/apply",
  "url": "https://himalayas.app/companies/acme/jobs/senior-backend-engineer",
  "description": "Full job description text… (when includeDescription is on)"
}

Output schema

Need more job data?

Combine Himalayas with other job sources for wider coverage:

• RemoteOK Job Scraper — remote roles with tags and salary ranges.
• We Work Remotely Jobs Scraper — remote jobs with full descriptions by category.
• Arbeitnow Job Scraper — jobs across Europe with tags and descriptions.
• Ashby Job Board Scraper — jobs from company Ashby boards.

FAQ

Do I need an account or login? No. There's no setup and no login — just set your filters (or leave them empty) and run.

How many jobs can I scrape per run? Use maxItems to cap results. Leave the filters empty to bulk-export the newest listings across all categories.

Can I filter to a niche? Yes — combine searchQuery, category, seniority, employmentType and location filters.

How does billing work? You pay per job you get, plus a small per-request charge — pay only for what you scrape.

What's the output format? Structured JSON — one record per job with title, company, salary range, seniority, location and timezone restrictions, categories, dates, links and (optionally) the full description. Export as JSON, CSV, Excel or XML.

Is scraping Himalayas legal? Only public remote job data shown to any visitor on Himalayas is collected. This is an independent tool, not affiliated with Himalayas; check Himalayas' terms and applicable regulations for your use case.

Can I integrate this with other tools? The Himalayas Remote Jobs Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JavaScript/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.

Notes

Original clean-room implementation. Returns only public data; you are responsible for compliance with Himalayas' terms. Not affiliated with Himalayas.

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.