Himalayas Jobs Scraper - Search & Export All Current Remote Jobs

Search or filter Himalayas remote jobs by keyword, geo, and industry/category, or export current listings of every job type with salary, categories, location restrictions, and application links as a clean Dataset. This Actor uses the public Himalayas jobs API with offset pagination and returns normalized, deduplicated job records ready for spreadsheets, dashboards, recruitment pipelines, or AI agent workflows.

There are no preset keywords, geos, or industries. Leave filters empty to collect all current job types from the live feed, or set searchQuery, geo, and/or industry to narrow results. Every row includes the original API object in a raw field.

Why use this Himalayas Scraper?

• Keyword search: enter searchQuery to filter current jobs by title, company, description, excerpt, categories, location, and URLs.
• Geo filter: enter geo (for example usa, uk, canada, india, worldwide) to match Himalayas locationRestrictions with common region aliases.
• Industry / category filter: enter industry (for example software-engineering, sales, digital-marketing) to match Himalayas categories and parent categories.
• All job types by default: empty input does not hard-code categories or keywords; it collects the live paginated feed as-is.
• Structured output: title, company, salary, categories, location restrictions, employment type, seniority, application link, and timestamps.
• Original raw data: each row keeps the unmodified upstream API object.
• Deduplication: response-local duplicates and malformed rows are skipped, with counts in RUN_SUMMARY.
• Filter provenance: filtered rows include sourceSearchQuery / searchRank and/or sourceGeo / sourceIndustry / filterRank.
• No credentials needed: public API, no login.
• Attribution built in: source_url and attribution_url point back to Himalayas.

Tutorial

1. Click Try for free on this Actor page.
2. Optionally enter searchQuery (for example python, design, customer success).
3. Optionally enter geo (for example usa, uk, worldwide) and/or industry (for example software-engineering, sales).
4. To export all current job types from the live feed, leave searchQuery, geo, and industry empty.
5. Set maxItems to control cost. Prefill 25 is a safe canary size. 0 means no user limit up to the Actor safety cap of 5000 rows.
6. Click Start and wait for the run to finish.
7. Open the Dataset tab to download JSON, CSV, Excel, or JSONL.
8. Check RUN_SUMMARY in the key-value store for pages fetched, source counts, and duplicates.

Example inputs

All-current job types (bounded canary):

{
  "maxItems": 25
}

Keyword search:

{
  "searchQuery": "python",
  "maxItems": 25
}

Geo + industry filter:

{
  "geo": "usa",
  "industry": "software-engineering",
  "maxItems": 50
}

Keyword + geo + industry:

{
  "searchQuery": "python",
  "geo": "canada",
  "industry": "backend-development",
  "maxItems": 25
}

Input and output examples

Input fields

Field	Type	Default	Description
searchQuery	string	empty	Optional keyword or phrase. Filters the live feed locally. Leave empty for all current job types.
geo	string	empty	Optional region slug or free-text location filter. Common aliases are listed in Common geo slugs. Leave empty for all regions.
industry	string	empty	Optional Himalayas category/industry slug. Common values are listed in Common industry / category slugs. Spaces, hyphens, and underscores are accepted.
maxItems	integer	0	Maximum matching jobs to emit. 0 means no user limit up to the safety cap of 5000. Maximum 5000.

Unsupported aliases such as query, keyword, keywords, category, categories, location, tag, and tags are rejected. Use the canonical fields above.

Output item example

{
  "id": "senior-python-engineer",
  "record_type": "job",
  "title": "Senior Python Engineer",
  "company_name": "Example Co",
  "company_slug": "example-co",
  "categories": ["Software-Engineering", "Python"],
  "location": "United States, Canada",
  "salary": "$90,000-$130,000/USD/yr",
  "salary_min": 90000,
  "salary_max": 130000,
  "job_type": "Full Time",
  "experience_level": "Senior",
  "application_link": "https://himalayas.app/companies/example-co/jobs/senior-python-engineer",
  "source_url": "https://himalayas.app/companies/example-co/jobs/senior-python-engineer",
  "source": "himalayas",
  "sourceSearchQuery": "python",
  "searchRank": 1,
  "sourceGeo": "usa",
  "sourceIndustry": "software-engineering",
  "attribution_url": "https://himalayas.app",
  "crawled_at": "2026-07-16T09:00:00+00:00",
  "raw": {"title": "Senior Python Engineer", "companyName": "Example Co"}
}

In all-current-jobs mode, filter provenance fields are absent. In keyword mode, rows include sourceSearchQuery and searchRank. In geo/industry-only mode, rows include sourceGeo / sourceIndustry and filterRank as applicable.

Output fields

Field	Description
title	Job title.
company_name, company_slug, company_logo	Company identity.
description, excerpt	Full description and short excerpt when available.
categories, parent_categories, tags	Category labels from Himalayas (tags mirrors categories).
location, location_restrictions	Human-readable location and raw restriction list.
salary, salary_min, salary_max, salary_currency, salary_period	Salary fields.
job_type, experience_level, seniority	Employment type and seniority.
application_link, guid, source_url	Application / listing URLs.
published_at, expiry_date	Epoch timestamps as strings when present.
sourceSearchQuery, searchRank	Present in keyword mode.
sourceGeo	The geo filter used when set.
sourceIndustry	The industry filter used when set.
filterRank	Match rank (1-based) when geo/industry filters are set without keyword search.
raw	Original API object.

Run artifacts

Artifact	Contents
INPUT_ECHO	Normalized scope, keyword, geo, industry, limits (presetKeywords always []).
RUN_SUMMARY	Source, pages fetched, API totalCount, filters, emitted/duplicate/malformed counts.
ERROR_SUMMARY	Failure type and safe message when a run fails.

Common geo slugs

geo is matched against Himalayas locationRestrictions and related free-text fields. Use either a short slug or free text. Multi-word values may use spaces or hyphens.

Slug / input	Also matches	Notes
usa	us, united-states, united states, u.s., u.s.a.	United States (most common on current feed)
uk	united-kingdom, united kingdom, england, scotland, wales, britain	United Kingdom
canada	canadian	Canada
germany	deutschland, berlin, munich	Germany
india	bangalore, bengaluru, mumbai, delhi, hyderabad, chennai, pune	India
poland	warsaw	Poland
philippines	manila	Philippines
singapore	singapore	Singapore
mexico	méxico	Mexico
spain	espana, españa, madrid, barcelona	Spain
australia	sydney, melbourne	Australia
netherlands	holland, amsterdam	Netherlands
france	paris	France
portugal	lisbon	Portugal
brazil	brasil, sao paulo, são paulo	Brazil
south-africa	south africa	South Africa
colombia	bogota, bogotá	Colombia
ukraine	kyiv, kiev	Ukraine
ireland	dublin	Ireland
japan	tokyo	Japan
europe	eu, emea	Europe / EMEA-style labels
apac	asia, pacific	Asia-Pacific-style labels
latam	latin america, south america	Latin America
worldwide	world wide, anywhere, global, remote	Global / remote-friendly labels
remote	remote, worldwide, anywhere, global	Same family as worldwide

Any other free-text value is also accepted and matched as-is (plus hyphen/space variants). Live probes show Himalayas public API does not expose a reliable server-side location query, so geo filtering is applied on the paginated feed returned at run time.

Common industry / category slugs

industry maps to Himalayas categories and parentCategories. Spaces, hyphens, and underscores are interchangeable. Values below are grounded on recent feed frequency plus product-relevant stacks.

Slug	Examples of accepted forms	Typical use
software-engineering	software engineering, software-engineering	Software engineering
fullstack-development	fullstack development, full-stack	Full-stack roles
backend-development	backend development, backend-engineering	Backend
frontend-development	frontend development, frontend	Frontend
web-development	web development, web-development	Web development
devops	devops, site-reliability-engineering	DevOps / SRE
cloud-engineering	cloud engineering, cloud-engineering	Cloud
ai-engineering	ai engineering, ai-engineering	AI / ML engineering
mobile-development	mobile development, mobile-development	Mobile
data-analysis	data analysis, data-science	Data / analysis
cybersecurity	cybersecurity	Security
sales	sales, b2b-sales, saas-sales	Sales family
business-development	business development, business-development	Business development
account-management	account management, account-executive	Account roles
digital-marketing	digital marketing, growth-marketing	Marketing
content-marketing	content marketing, content-marketing	Content marketing
social-media-marketing	social media marketing, social-media-management	Social media
customer-success	customer success, customer-service	Customer success / support
talent-acquisition	talent acquisition, human-resources	Recruiting / HR
operations	operations, operations-management	Operations
executive-assistant	executive assistant, executive-assistant	EA / admin
accounting	accounting, finance	Accounting / finance
design	design	Design (when present on feed)
product	product	Product (when present on feed)

Himalayas category inventory changes over time. If a slug is rare or unused on the current feed pages scanned, the run can succeed with zero rows and a clear RUN_SUMMARY.

Data source and search boundary

This Actor uses the public Himalayas endpoint https://himalayas.app/jobs/api with limit and offset pagination.

• Live probes show the API page size is hard-capped at 20 jobs per request.
• The API totalCount can exceed 90,000 jobs, so this Actor applies a safety cap of 5000 emitted records when maxItems is unlimited.
• searchQuery, geo, and industry are local filters over the fetched pages. Public query params such as q, query, search, location, category, and tag were observed not to change results.
• This is a current-feed snapshot, not a separate historical search index.

Pricing

Pay per event. No subscription. Apify displays the effective event price before each run.

Event	Price	When it is charged
apify-actor-start	$0.005	Automatically once when a normal Actor run starts.
apify-default-dataset-item	$2.00 / 1,000	Automatically for each item written to the default Dataset.

For example, a run returning 100 job records costs $0.205 in Actor events: $0.005 to start plus $0.200 for results. Platform usage costs are charged to the user in addition to these Actor events when the Actor is configured that way.

Both listed events are Apify synthetic events: the platform accounts for them automatically.

Live View and Standby endpoints

Data collection stays in normal Actor runs. The standby service is an honest operational surface only.

Endpoint	Purpose
GET /	Readiness and service information.
GET /health	Fast health check.
GET /input-example	Low-cost input compatible with the Actor schema.
GET /openapi.json	Deployed OpenAPI 3.x contract.

Connect from code or an AI workflow

Actor ID: lentic_clockss/himalayas-jobs-scraper.

Related Actors

Use this Actor when Himalayas is the source of record. Keep other job boards as separate Actors so attribution and freshness stay clear.

FAQ and support

Does it search Himalayas by keyword? Yes, via local filtering of the live paginated feed. Set searchQuery.

Can I filter by region or industry? Yes. Use geo and/or industry. See the slug tables above. Filtered rows include sourceGeo / sourceIndustry provenance.

Does empty input use preset keywords? No. Empty input collects all current job types from the live feed (subject to maxItems / safety cap).

What happens when there are no matches? If any of searchQuery, geo, or industry is set and nothing matches, the run succeeds with zero Dataset rows and a clear RUN_SUMMARY. Source failures write ERROR_SUMMARY and fail.

Why is there a 5000 safety cap? Himalayas totalCount can exceed 90k. Unlimited full-history dumps would be expensive and slow; use maxItems deliberately.

Where can I report a problem? Include the Actor run ID, RUN_SUMMARY or ERROR_SUMMARY, and one example source_url.

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