# Himalayas Remote Jobs API Scraper (`ahmdshrif/himalayas-jobs-api-scraper`) Actor

Exports remote job listings from the Himalayas.app public jobs API including title, company, salary, seniority, location and timezone restrictions, categories, and application link.

- **URL**: https://apify.com/ahmdshrif/himalayas-jobs-api-scraper.md
- **Developed by:** [Ahmed](https://apify.com/ahmdshrif) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 3 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

$0.10 / 1,000 job listing scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#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 API Scraper

Exports remote job listings from the Himalayas.app public jobs API as flat, structured records: job title, company details, salary range, seniority level, location and timezone restrictions, categories, and the direct application link. Built for recruiters, sourcers, job board aggregators, and market researchers who need current Himalayas listings without manually paging through the site.

### Why this scraper

- Covers the same field set as the most-used Himalayas scraper in the store — salary range, timezone and location restrictions, categories, and application link — so you're not trading completeness for price.
- Priced at $0 per job listing, so pulling thousands of listings for a large sourcing run or a recurring dataset refresh costs nothing.
- Reads directly from Himalayas's public JSON API endpoint, so output fields map cleanly to source data with no HTML-scraping fragility on the listing page itself.

### Output fields

| Field | Type | Description |
|---|---|---|
| title | string | Job title |
| companyName | string | Hiring company name |
| companySlug | string | Company slug used in Himalayas URLs |
| companyLogo | string | URL of the company logo image |
| employmentType | string | Employment type, e.g. Full Time |
| minSalary | number | Minimum stated salary |
| maxSalary | number | Maximum stated salary |
| salaryPeriod | string | Salary period, e.g. annual |
| currency | string | Salary currency code |
| seniority | string | Comma-separated seniority levels |
| locationRestrictions | string | Comma-separated allowed locations |
| timezoneRestrictions | string | Comma-separated allowed UTC offsets |
| categories | string | Comma-separated job categories |
| parentCategories | string | Comma-separated parent job categories |
| description | string | Full HTML job description |
| pubDate | integer | Unix timestamp the job was published |
| expiryDate | integer | Unix timestamp the job listing expires |
| applicationLink | string | URL to apply for the job |
| guid | string | Unique job listing URL/identifier |

### Input

```json
{
  "startUrls": [{ "url": "https://himalayas.app/jobs/api" }],
  "maxItems": 50
}
```

### Output

```json
{
  "title": "Head of Talent Acquisition",
  "companyName": "YipitData",
  "companySlug": "yipitdata",
  "companyLogo": "https://cdn-images.himalayas.app/4ou6thwql1calbrwk9sh10g64a6o",
  "employmentType": "Full Time",
  "minSalary": 210000,
  "maxSalary": 270000,
  "salaryPeriod": "annual",
  "currency": "USD",
  "seniority": "Director",
  "locationRestrictions": "United States",
  "timezoneRestrictions": "-10, -9, -8, -7, -6, -5, 14",
  "categories": "Talent-Acquisition, Recruiting-Leadership, Recruiting-Director, Talent-Acquisition-Strategy, Head-of-Recruiting, Head-Of-Talent-Acquisition, Director-Of-Talent-Acquisition",
  "parentCategories": "Human Resources",
  "description": "<p>About Us: YipitData is the leading market research and analytics firm...</p><h4>About The Role</h4><p>We are seeking a seasoned Head of Talent Acquisition to lead the next phase of our recruiting function...</p>",
  "pubDate": 1787481512,
  "expiryDate": 1792665512,
  "applicationLink": "https://himalayas.app/companies/yipitdata/jobs/head-of-talent-acquisition",
  "guid": "https://himalayas.app/companies/yipitdata/jobs/head-of-talent-acquisition"
}
```

### Pricing

$0.00 per job listing returned. A run pulling 50, 500, or 5,000 listings costs $0 — you only pay Apify platform compute for the run itself.

### Use cases

- Feeding a recruiting CRM or ATS with a daily pull of new remote listings filtered by category or seniority for outbound sourcing.
- Building a salary-benchmarking dataset for remote roles by parsing minSalary/maxSalary and currency across job categories.
- Populating a niche remote-jobs aggregator site with live listings, application links, and company logos pulled directly from Himalayas.

# Actor input Schema

## `startUrls` (type: `array`):

Pages to export.

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

Stop after this many records.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://himalayas.app/jobs/api"
    },
    {
      "url": "https://himalayas.app/jobs/api?limit=20"
    },
    {
      "url": "https://himalayas.app/jobs/api?country=usa"
    }
  ],
  "maxItems": 50
}
```

# Actor output Schema

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

One structured record per input URL.

# 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 = {
    "startUrls": [
        {
            "url": "https://himalayas.app/jobs/api"
        },
        {
            "url": "https://himalayas.app/jobs/api?limit=20"
        },
        {
            "url": "https://himalayas.app/jobs/api?country=usa"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("ahmdshrif/himalayas-jobs-api-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 = { "startUrls": [
        { "url": "https://himalayas.app/jobs/api" },
        { "url": "https://himalayas.app/jobs/api?limit=20" },
        { "url": "https://himalayas.app/jobs/api?country=usa" },
    ] }

# Run the Actor and wait for it to finish
run = client.actor("ahmdshrif/himalayas-jobs-api-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 '{
  "startUrls": [
    {
      "url": "https://himalayas.app/jobs/api"
    },
    {
      "url": "https://himalayas.app/jobs/api?limit=20"
    },
    {
      "url": "https://himalayas.app/jobs/api?country=usa"
    }
  ]
}' |
apify call ahmdshrif/himalayas-jobs-api-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ahmdshrif/himalayas-jobs-api-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/MdjI3iOq92fTfnLnS/builds/KB68hjK87ZV8v2XR0/openapi.json
