# Himalayas Remote Jobs Scraper — Salary, Filters & Bulk (`hipersoft/himalayas-scraper`) Actor

Scrape remote jobs from Himalayas: title, company, salary range, seniority, location & timezone restrictions, categories and description. Filter by keyword, category, seniority or type. Bulk export up to tens of thousands. Public API, no key.

- **URL**: https://apify.com/hipersoft/himalayas-scraper.md
- **Developed by:** [hiper soft](https://apify.com/hipersoft) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.0005 / job scraped

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **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 usage examples, see the [API](#api) section below.

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).

# README

## Himalayas Remote Jobs Scraper — Salaries, Filters & Bulk Export

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.

![Himalayas Remote Jobs Scraper input — keyword, seniority and location filters in the Apify Console](https://api.apify.com/v2/key-value-stores/SUfvnaFLd9z9eBCtV/records/himalayas-scraper-input.png?v=2)

### 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

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

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

| Field | Description |
|-------|-------------|
| `maxItems` | Maximum jobs to scrape. |
| `searchQuery` | Keyword filter (title / company / excerpt). |
| `category` | Category or parent-category filter. |
| `seniority` | Seniority filter. |
| `employmentType` | Employment-type filter. |
| `location` | Location-restriction filter. |
| `includeDescription` | Include each job's full description. Default `true`. |

### Output

![Himalayas Remote Jobs Scraper output example — remote job listings as structured JSON](https://api.apify.com/v2/key-value-stores/SUfvnaFLd9z9eBCtV/records/himalayas-scraper-output.png?v=2)

```json
{
  "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

| Field | Type | Description |
|-------|------|-------------|
| `title` | string | Job title. |
| `company` | string | Company name. |
| `companySlug` | string | Company slug used in Himalayas URLs. |
| `companyLogo` | string (URL) | URL of the company logo. |
| `employmentType` | string | Employment type, e.g. Full Time, Contract. |
| `seniority` | array | Seniority levels for the role. |
| `minSalary` | integer | Minimum salary, when provided. |
| `maxSalary` | integer | Maximum salary, when provided. |
| `salaryCurrency` | string | Salary currency code. |
| `salaryPeriod` | string | Salary period, e.g. yearly, hourly. |
| `locationRestrictions` | array | Locations the remote role is open to. |
| `timezoneRestrictions` | array | Timezones the role is restricted to. |
| `categories` | array | Job categories. |
| `parentCategories` | array | Parent categories for the role. |
| `excerpt` | string | Short excerpt of the job description. |
| `pubDate` | integer | Published date as a Unix timestamp. |
| `expiryDate` | integer | Expiry date as a Unix timestamp. |
| `applicationLink` | string (URL) | Direct link to apply for the role. |
| `url` | string (URL) | Job listing URL on Himalayas. |
| `description` | string | Full job description text (when `includeDescription` is on). |

### Need more job data?

Combine Himalayas with other job sources for wider coverage:

- [RemoteOK Job Scraper](https://apify.com/hipersoft/remoteok-scraper) — remote roles with tags and salary ranges.
- [We Work Remotely Jobs Scraper](https://apify.com/hipersoft/weworkremotely-scraper) — remote jobs with full descriptions by category.
- [Arbeitnow Job Scraper](https://apify.com/hipersoft/arbeitnow-scraper) — jobs across Europe with tags and descriptions.
- [Ashby Job Board Scraper](https://apify.com/hipersoft/ashby-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](https://apify.com/integrations). It works with [Make](https://apify.com/integrations/make), [Zapier](https://apify.com/integrations/zapier), [Slack](https://docs.apify.com/platform/integrations/slack), [Airbyte](https://docs.apify.com/platform/integrations/airbyte), [GitHub](https://docs.apify.com/platform/integrations/github), [Google Drive](https://docs.apify.com/platform/integrations/drive) and [many more](https://apify.com/integrations), plus the [Apify API](https://docs.apify.com/api/v2), JavaScript/Python clients and MCP. Or use [webhooks](https://docs.apify.com/platform/integrations/webhooks) to trigger an action whenever a run finishes.

### Related Actors

- [Himalayas alternative: Personio Job Scraper](https://apify.com/hipersoft/personio-scraper) — jobs from Personio career pages.
- [SmartRecruiters Job Scraper](https://apify.com/hipersoft/smartrecruiters-scraper) — jobs from SmartRecruiters career sites.
- [Dice Jobs Scraper](https://apify.com/hipersoft/dice-scraper) — US tech jobs with salaries.
- [Reed Job Scraper](https://apify.com/hipersoft/reed-scraper) — UK jobs with salaries and descriptions.

### Notes

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

# Actor input Schema

## `maxItems` (type: `integer`):

Maximum jobs to scrape (Himalayas lists ~97k live).

## `searchQuery` (type: `string`):

Filter by keyword in title, company or excerpt (e.g. "python", "designer"). Empty = all.

## `category` (type: `string`):

Filter by category/parent category (e.g. "engineering", "marketing"). Empty = all.

## `seniority` (type: `string`):

Filter by seniority (e.g. "senior", "entry"). Empty = all.

## `employmentType` (type: `string`):

Filter by type (e.g. "full time", "contract"). Empty = all.

## `location` (type: `string`):

Filter by allowed location/region (e.g. "united states", "europe"). Empty = all.

## `includeDescription` (type: `boolean`):

Include each job's full description text.

## Actor input object example

```json
{
  "maxItems": 200,
  "searchQuery": "",
  "category": "",
  "seniority": "",
  "employmentType": "",
  "location": "",
  "includeDescription": true
}
```

# Actor output Schema

## `results` (type: `string`):

The scraped results as dataset items.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("hipersoft/himalayas-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("hipersoft/himalayas-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call hipersoft/himalayas-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hipersoft/himalayas-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ocFrxR1HiNBhDpItW/builds/9qXHm7qUPgKBcuQxh/openapi.json