Himalayas Remote Jobs Scraper - Salaries, Jobs Data & API

Scrape remote job listings from Himalayas.app worldwide, with no API key or login. This Himalayas scraper acts as an unofficial remote jobs API: page the global feed, filter client-side (keyword, category, seniority, country, employment type, salary-only), and get one clean, structured record per job with the full description, parsed salary, company info, seniority, categories and apply URL. Export to JSON, CSV or Excel.

Ideal for building a remote job listings feed, a work-from-home jobs dataset, remote tech-jobs analytics, salary benchmarking, recruiting and lead generation.

{
  "id": "5931286079",
  "title": "Sr. Product Designer II - Design Systems",
  "companyName": "Instacart",
  "companyLogo": "https://cdn-images.himalayas.app/ka50zs3eg02zoiwsl3b8ce5cdadx",
  "url": "https://himalayas.app/companies/instacart/jobs/sr-product-designer-ii-design-systems-5931286079",
  "seniority": ["Senior"],
  "employmentType": "Full Time",
  "parentCategories": ["Design"],
  "tags": ["Design-Systems", "Product-Design", "UX-Design"],
  "locationRestrictions": ["Canada"],
  "timezoneRestrictions": [-8, -7, -6, -5, -4, -3.5],
  "isRemote": true,
  "worldwide": false,
  "minSalary": 171000,
  "maxSalary": 180500,
  "salaryPeriod": "annual",
  "currency": "CAD",
  "salaryText": "CAD $171,000 - $180,500/year",
  "applyUrl": "https://boards.greenhouse.io/instacart/jobs/5931286079",
  "companyUrl": "https://himalayas.app/companies/instacart",
  "postedAt": "2026-08-14T06:23:56.000Z",
  "expiresAt": "2026-10-13T06:23:56.000Z",
  "ageDays": 21,
  "aiJdSummary": "Instacart is hiring a Sr. Product Designer II to evolve their design system... (AI add-on)",
  "aiSkills": ["Product Design", "Design Systems", "Figma", "Accessibility"]
}

📥 Input · 📤 Output · 💰 Pricing · ▶️ Examples

Table of contents

• What it does
• Why this scraper
• How we compare
• Quickstart
• Input reference
• Output reference
• Example output record
• Run via API and CLI
• Fetch results
• Billing and limits
• FAQ and troubleshooting

What it does

The actor pages through the Himalayas remote-jobs feed, applies the filters you pass as input (keyword or keywords, category, seniority, employment type, country, worldwide, salary-only, tech-only), and writes one normalized record per job to the run's dataset. Each record includes the job title, company and logo, salary range with currency and period (parsed into numbers), seniority, categories and skill tags, location and timezone restrictions, apply URL, posted and expiry dates, plus the full job description as clean text and raw HTML. Missing source values are returned as null.

Optional paid AI add-ons can write a concise summary and extract required skills and inferred seniority from each description.

Himalayas has no server-side search, so all filters run client-side as the scraper pages the global feed. Data covers remote jobs listed on himalayas.app. This actor is independent and has no affiliation with Himalayas.

Why this scraper

• No API key, no login. Just set your filters and run.
• Every field the feed exposes, mapped to clean names with honest nulls, plus derived fields: parsed minSalary/maxSalary/currency/salaryPeriod, ageDays, worldwide, id, and extracted emails/descriptionLinks from the description.
• Full description in two formats: clean text (description) and raw descriptionHtml.
• Rich, superset filtering: single or multiple keywords, one or many categories and seniority levels, employment type, country, worldwide-only, tech-only, salary-only, plus sortBy.
• Cost controls: maxJobs, maxPagesToScan, timeBudgetSecs, free-plan cap and a spend cap.

How we compare

Named comparison against the other public Himalayas actors on Apify (job data from the same public feed). We accept a superset of their inputs and return a superset of their fields.

Capability	This actor	inlifeprojects/himalayas-jobs-scraper	logiover/himalayas-remote-jobs-scraper	shahidirfan/Himalayas-Job-Scraper
Keyword / multi-keyword	Yes (keyword + keywords[])	keywords[]	single	single
Category filter	Yes (category + categories[])	no	categories[]	no
Seniority (single + multi)	Yes	seniority[]	seniority[]	no
Employment type	Yes	Yes	Yes	no
Country / worldwide filter	Yes (both)	country + worldwide	no	location
Tech-only filter	Yes	filterNonTech	no	no
Salary-only filter	Yes	no	no	no
Sort (date / salary)	Yes (sortBy)	sortBy	no	no
Start URLs	Yes	no	no	startUrl
Page / time budget caps	Yes	no	maxPages + timeBudget	max_pages
Completion webhook	Yes	Yes	no	no
Parsed salary min/max/currency	Yes	partial	partial	partial
Full description (text + HTML)	Yes (both)	text	optional	optional
Emails + links from description	Yes	no	no	no
Timezone restrictions	Yes	Yes	partial	no
ageDays, worldwide, id, tags derived	Yes	no	no	no
AI summary + skills add-ons	Yes (opt-in)	no	no	no

If you only need a handful of raw fields, the alternatives are fine. If you want the widest field set, parsed salary, description in text and HTML, and superset filtering, this actor is built for that.

Quickstart

Open the actor, paste this into the input, and press Run.

{
  "keywords": ["react", "frontend"],
  "category": "Developer",
  "withSalaryOnly": true,
  "sortBy": "salaryDesc",
  "maxJobs": 25
}

Leave all filters empty to collect the newest jobs across every category. Every input field is optional; with an empty input the actor returns the most recent remote jobs (default maxJobs is 10).

Input reference

Field	Type	Required	Default	Description
maxJobs	integer	no	10	Maximum jobs to collect. Aliases: maxItems, results_wanted, maxResultsPerKeyword. Free Apify plans are capped at 10 per run.
keyword	string	no	(empty)	Free-text term matched against title, company, categories and description (case-insensitive).
keywords	string[]	no	(empty)	Multiple search terms. A job is kept if it matches ANY of them.
startUrls	array	no	(empty)	Himalayas search URLs; any search/keyword/q/query parameter is applied as an extra keyword.
category	enum	no	(any)	Keep only jobs in this parent category.
categories	string[]	no	(any)	Keep only jobs in any of these parent categories.
seniority	enum	no	(any)	Keep only jobs that include this seniority.
seniorities	string[]	no	(any)	Keep only jobs that include any of these seniority levels.
employmentType	enum	no	(any)	Full Time, Part Time, Contractor, Intern.
country	string	no	(any)	Keep only jobs open to this country (worldwide jobs always kept). Alias: location.
worldwide	boolean	no	false	Keep only jobs open to candidates worldwide.
filterNonTech	boolean	no	false	Keep only tech roles (Developer, Data Science, Design, Product).
withSalaryOnly	boolean	no	false	Keep only jobs that publish a salary range.
sortBy	enum	no	newest	newest, oldest, salaryDesc, salaryAsc. Non-newest sorting requires a finite maxJobs.
includeDescription	boolean	no	true	Include full description (text + HTML), emails and links. Alias: collectDetails.
maxPagesToScan	integer	no	(unlimited)	Safety cap on feed pages scanned. Alias: max_pages.
timeBudgetSecs	integer	no	(unlimited)	Stop scanning after this many seconds.
webhookUrl	string	no	(empty)	POST a small JSON completion payload here when the run finishes.
webhookSecret	string	no	(empty)	Sent as the x-webhook-secret header on the completion webhook.
proxyConfiguration	object	no	Apify Proxy	Proxy settings.
withJdSummary	boolean	no	false	Paid AI add-on. Concise summary of each description. Charged per job summarized. Paid plans only.
withSkills	boolean	no	false	Paid AI add-on. Extract required skills and inferred seniority. Charged per job processed. Paid plans only.

Output reference

One dataset item per job. Types: string, number, integer, boolean, string[], number[], or null when the source value is absent.

Field	Type	Description
id	string	Stable job ID derived from the job URL, or null.
title	string	Job title.
companyName	string	Company name.
companyLogo	string	Company logo URL, or null.
companySlug	string	Company slug on Himalayas.
companyUrl	string	Company page URL.
url	string	Himalayas job URL.
applyUrl	string	External application URL.
seniority	string[]	Seniority levels listed for the job.
employmentType	string	Employment type (for example Full Time).
parentCategories	string[]	Parent categories (for example Design).
categories	string[]	Category tags on the listing.
tags	string[]	Alias of categories.
locationRestrictions	string[]	Allowed candidate locations/countries.
timezoneRestrictions	number[]	Allowed UTC offsets.
remote / isRemote	boolean	Whether the job is remote (always true for this feed).
worldwide	boolean	Whether the job is open to candidates worldwide.
minSalary	integer	Minimum salary, or null.
maxSalary	integer	Maximum salary, or null.
salaryPeriod	string	Salary period (for example annual), or null.
currency	string	Salary currency (for example CAD), or null.
salaryText	string	Salary range as a formatted string, or null.
emails	string[]	Contact emails found in the description, or null.
descriptionLinks	string[]	External links found in the description, or null.
excerpt	string	Short description excerpt.
description	string	Full job description as clean text.
descriptionHtml	string	Full job description as raw HTML.
postedAt	string	ISO 8601 posting timestamp.
expiresAt	string	ISO 8601 expiry timestamp, or null.
ageDays	integer	Days since the job was posted, or null.
aiJdSummary	string	AI job summary (add-on), or null.
aiSkills	string[]	AI-extracted required skills (add-on), or null.
aiSeniority	string	AI-inferred seniority (add-on), or null.
observedAt	string	ISO 8601 timestamp of when the record was collected.
error	string	null on success. On a failed run, a single item with a populated error field is written instead.

Example output record

Real record shape from a live run. The long categories/tags array and description are trimmed here for readability; the real values continue.

{
  "id": "5931286079",
  "title": "Sr. Product Designer II - Design Systems",
  "companyName": "Instacart",
  "companyLogo": "https://cdn-images.himalayas.app/ka50zs3eg02zoiwsl3b8ce5cdadx",
  "companyUrl": "https://himalayas.app/companies/instacart",
  "url": "https://himalayas.app/companies/instacart/jobs/sr-product-designer-ii-design-systems-5931286079",
  "applyUrl": "https://boards.greenhouse.io/instacart/jobs/5931286079",
  "seniority": ["Senior"],
  "employmentType": "Full Time",
  "parentCategories": ["Design"],
  "categories": ["Design-Systems", "Product-Design", "UX-Design", "[trimmed]"],
  "tags": ["Design-Systems", "Product-Design", "UX-Design", "[trimmed]"],
  "locationRestrictions": ["Canada"],
  "timezoneRestrictions": [-8, -7, -6, -5, -4, -3.5],
  "remote": true,
  "isRemote": true,
  "worldwide": false,
  "minSalary": 171000,
  "maxSalary": 180500,
  "salaryPeriod": "annual",
  "currency": "CAD",
  "salaryText": "CAD $171,000 - $180,500/year",
  "emails": null,
  "descriptionLinks": null,
  "excerpt": "We're transforming the grocery industry...",
  "description": "We're transforming the grocery industry. [trimmed]",
  "descriptionHtml": "<p>We're transforming the grocery industry. [trimmed]</p>",
  "postedAt": "2026-08-14T06:23:56.000Z",
  "expiresAt": "2026-10-13T06:23:56.000Z",
  "ageDays": 21,
  "aiJdSummary": null,
  "aiSkills": null,
  "aiSeniority": null,
  "observedAt": "2026-09-04T08:07:26.293Z",
  "error": null
}

Run via API and CLI

Start a run and wait for it to finish, then read the dataset. Replace <TOKEN> with your Apify API token.

Run synchronously and get dataset items in one call:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~himalayas-scraper/run-sync-get-dataset-items?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"keyword":"react","category":"Developer","withSalaryOnly":true,"maxJobs":25}'

Start a run asynchronously:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~himalayas-scraper/runs?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"category":"Design","seniority":"Senior","maxJobs":100}'

Apify CLI:

apify call scrapers_lat/himalayas-scraper \
  --input '{"employmentType":"Contractor","maxJobs":50}'

Fetch results

Every run writes to a dataset. Fetch items as JSON, CSV, or Excel by changing format:

# JSON
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=json"

# CSV
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=csv"

# Paginate large datasets
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&offset=1000&limit=1000"

<DATASET_ID> is returned as defaultDatasetId in the run object. Use offset and limit to page through large result sets. clean=true drops empty and internal fields.

Billing and limits

• Pay per result. You are charged per job record returned (result event). See the pricing tab for the current per-result price.
• Add-on events. AI job summary (ai_jd_summary) and AI required skills (ai_skills) are billed separately, only for paid plans, and only when they produce usable output. Each add-on is charged after the job record has been delivered.
• No charge on failure. If a run errors, the actor writes a single item with a populated error field and does not charge for it. Empty runs cost nothing.
• Spend cap respected. Set maxTotalChargeUsd on the run; once reached, the actor stops emitting and charging further billable results and add-ons.
• Free Apify plans are capped at 10 records per run. Upgrade for higher maxJobs.

FAQ and troubleshooting

Do I need an API key or login for Himalayas? No. The actor reads the public Himalayas remote-jobs feed. Just set filters and run.

A run returned 0 records. Why? Your filters excluded everything. Loosen them (for example remove keyword or set withSalaryOnly off), or widen the category. Because Himalayas has no server-side search, narrow filters can page through many jobs before matching. Use maxPagesToScan or timeBudgetSecs to cap the scan. Zero-result runs are not charged.

How does the keyword filter work? It is a case-insensitive match against the title, company, categories and description, applied by the scraper as it pages the feed. keywords[] matches ANY of the terms.

Which jobs include a salary? Not all listings publish one. Set withSalaryOnly to keep only jobs with a salaryText and salary range. When present, salary is parsed into minSalary, maxSalary, currency and salaryPeriod.

Can I sort by salary or date? Yes. Set sortBy to salaryDesc, salaryAsc, oldest, or newest (default). Non-newest sorting requires a finite maxJobs.

What do the AI add-ons return? withJdSummary writes a short aiJdSummary; withSkills fills aiSkills and aiSeniority. Both are billed only when they produce usable output and require a paid Apify plan.

Is this an official Himalayas tool? No. This actor is independent and has no affiliation with Himalayas. It reads only publicly available job listings. Use the results in accordance with the source's terms and applicable laws.

Related scrapers

• Greenhouse Jobs Scraper: jobs from Greenhouse-powered career pages.
• Ashby Jobs Scraper: jobs from Ashby-powered career pages.
• Lever Jobs Scraper: jobs from Lever-powered career pages.

More scrapers at scrapers.lat

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Independent tool, not affiliated with Himalayas. Accesses only publicly available job listings. Use in accordance with the source's terms and applicable laws.