# Himalayas Remote Job Listings Scraper (`scrapers_lat/himalayas-scraper`) Actor
Extract remote jobs from Himalayas worldwide. Scrape job title, company, salary range, currency, seniority, employment type, location and timezone restrictions, categories, apply link and full description.
- **URL**: https://apify.com/scrapers\_lat/himalayas-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Jobs, Business, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $8.00 / 1,000 results
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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
[](https://console.apify.com/actors/Sz0h20NgtjXPcqAeN/input)
## Himalayas Scraper
> Extract remote jobs from Himalayas, the global remote-work board with more than 87,000 live listings worldwide
22 fields per record
Worldwide coverage
JSON / CSV / Excel output formats
Updated 2026-06-22
### What you get
Each record is one remote job from the Himalayas board, with the company, salary range, location and timezone restrictions, category tags and the full job description ready for analysis or import into your own pipeline.
- **companyLogo**: URL of the hiring company logo
- **title**: job title
- **url**: link to the job page on Himalayas
- **companyName**: name of the hiring company
- **companySlug**: company identifier used in Himalayas URLs
- **seniority**: list of seniority levels for the role, such as Mid-level or Senior
- **employmentType**: Full Time, Part Time, Contractor or Intern
- **categories**: detailed role tags assigned to the job
- **locationRestrictions**: countries the role is open to hire from
- **timezoneRestrictions**: UTC offsets the role is open to
- **parentCategories**: high-level categories such as Developer, Design or Sales
- **remote**: always true, every job on Himalayas is remote
- **minSalary**: lower bound of the published salary range
- **maxSalary**: upper bound of the published salary range
- **salaryPeriod**: annual, monthly or hourly, present only when a salary is published
- **currency**: salary currency, present only when a salary is published
- **salaryText**: human-readable salary range
- **applyUrl**: link to apply to the job
- **excerpt**: short preview of the job description
- **description**: full job description as clean plain text
- **postedAt**: when the job was published
- **expiresAt**: when the listing is set to expire
- **observedAt**: when this listing was last seen by the scraper
### Who is it for
| Use case | Who benefits |
|---|---|
| Build a remote-jobs aggregator or newsletter | Job board operators and content creators |
| Track remote salary ranges by role and seniority | Compensation and people-analytics teams |
| Source candidates open to specific timezones | Recruiters and talent sourcers |
| Monitor hiring activity at remote-first companies | Sales and market-research teams |
| Feed remote roles into a job-matching model | Data scientists and product teams |
### Frequently Asked Questions
**How many remote jobs can I scrape from Himalayas?**
The Himalayas feed exposes more than 87,000 live remote listings at any time. You can collect as many as you want by raising the Max Items value, and the scraper pages through the feed automatically until it reaches your limit or the end of the feed.
**Does the scraper cover jobs worldwide?**
Yes. Himalayas is a global remote-work board, so the listings span companies and location restrictions across North America, Europe, Latin America, Asia and beyond. Each record includes the countries and timezones a role is open to.
**Can I filter by category, seniority or employment type?**
Yes. You can keep only jobs in a parent category such as Developer or Design, a seniority level such as Senior, or an employment type such as Full Time. You can also add a keyword that is matched against the title, company, categories and description, and restrict results to jobs that publish a salary.
**Why do some jobs have no salary?**
Himalayas only publishes a salary range when the employer provides one, so the salary fields are filled for roughly half of all listings and left empty for the rest. The scraper never guesses a salary, it returns null when the source has none.
**What happens if a request fails?**
The scraper retries each feed request several times before giving up. If a page still cannot be fetched, it records a single error entry instead of crashing, so the run finishes and you keep every job collected up to that point.
### Example use cases
Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template:
- [Himalayas Data Science Jobs with Salary](https://apify.com/scrapers_lat/himalayas-scraper/examples/himalayas-data-science-jobs-with-salary): Pull remote data science jobs on Himalayas that list a salary, with company, pay range and location.
- [Himalayas Remote Design Jobs](https://apify.com/scrapers_lat/himalayas-scraper/examples/himalayas-design-jobs): Track remote design jobs on Himalayas with title, company, salary range, location and requirements.
- [Himalayas Remote Developer Jobs](https://apify.com/scrapers_lat/himalayas-scraper/examples/himalayas-developer-jobs): Scrape remote developer jobs on Himalayas with title, company, salary, location and application link.
### Related scrapers
Need data from the same space? Here are other scrapers we build and maintain:
- [LinkedIn Job Listings Scraper](https://apify.com/scrapers_lat/linkedin-jobs-scraper): Extract public LinkedIn job postings by keyword and location worldwide. Scrape job title, company...
- [Computrabajo Job Listings Scraper](https://apify.com/scrapers_lat/computrabajo-scraper): Extract job listings from Computrabajo across 19 LATAM countries. Scrape titles, companies...
- [Workable Job Listings Scraper](https://apify.com/scrapers_lat/workable-scraper): Extract public job listings from any Workable-hosted company careers board by account name or board...
- [Talent.com Job Listings Scraper](https://apify.com/scrapers_lat/talent-jobs-scraper): Extract public Talent.com job listings by keyword, location and country: title, company, salary...
- [GetOnBrd Tech Jobs & Salary Scraper](https://apify.com/scrapers_lat/getonbrd-scraper): Extract LATAM tech jobs and salary data from GetOnBrd. Scrape job title, company, category...
- [Dice Tech Job Listings Scraper](https://apify.com/scrapers_lat/dice-jobs-scraper): Extract public Dice.com tech job postings by keyword and location: title, company, location...
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with Himalayas. It only accesses data that is publicly available on the platform. Use it in accordance with Himalayas' terms of service.
# Actor input Schema
## `maxItems` (type: `integer`):
Maximum number of remote jobs to collect. Optional.
## `keyword` (type: `string`):
Free-text term to match against the job title, company name, categories and description (case-insensitive). Leave empty to collect all jobs in feed order. The Himalayas feed has no server-side search, so this filter is applied by the scraper while it pages through the feed.
## `category` (type: `string`):
Keep only jobs whose parent category matches this value.
## `seniority` (type: `string`):
Keep only jobs that include this seniority level.
## `employmentType` (type: `string`):
Keep only jobs with this employment type.
## `withSalaryOnly` (type: `boolean`):
When enabled, keep only jobs that publish a salary range.
## `proxyConfiguration` (type: `object`):
Optional proxy settings. The Himalayas API is openly accessible, so a proxy is not required; enable it only if you want to route requests through Apify Proxy.
## Actor input object example
```json
{
"maxItems": 10,
"category": "",
"seniority": "",
"employmentType": "",
"withSalaryOnly": false,
"proxyConfiguration": {
"useApifyProxy": false
}
}
````
# Actor output Schema
## `results` (type: `string`):
No description
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"maxItems": 10
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "maxItems": 10 }
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/himalayas-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"maxItems": 10
}' |
apify call scrapers_lat/himalayas-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/himalayas-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Himalayas Remote Job Listings Scraper",
"description": "Extract remote jobs from Himalayas worldwide. Scrape job title, company, salary range, currency, seniority, employment type, location and timezone restrictions, categories, apply link and full description.",
"version": "0.1",
"x-build-id": "g3tcA6QWWGJHb4r9g"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~himalayas-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-himalayas-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~himalayas-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-himalayas-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~himalayas-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-himalayas-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of remote jobs to collect. Optional."
},
"keyword": {
"title": "Keyword",
"type": "string",
"description": "Free-text term to match against the job title, company name, categories and description (case-insensitive). Leave empty to collect all jobs in feed order. The Himalayas feed has no server-side search, so this filter is applied by the scraper while it pages through the feed."
},
"category": {
"title": "Category",
"enum": [
"",
"Content Creator",
"Customer Service",
"Data Science",
"Design",
"Developer",
"Education",
"Finance",
"Human Resources",
"Marketing",
"Operations",
"Product",
"Sales"
],
"type": "string",
"description": "Keep only jobs whose parent category matches this value.",
"default": ""
},
"seniority": {
"title": "Seniority",
"enum": [
"",
"Entry-level",
"Mid-level",
"Senior",
"Manager",
"Director"
],
"type": "string",
"description": "Keep only jobs that include this seniority level.",
"default": ""
},
"employmentType": {
"title": "Employment Type",
"enum": [
"",
"Full Time",
"Part Time",
"Contractor",
"Intern"
],
"type": "string",
"description": "Keep only jobs with this employment type.",
"default": ""
},
"withSalaryOnly": {
"title": "Only Jobs With Salary",
"type": "boolean",
"description": "When enabled, keep only jobs that publish a salary range.",
"default": false
},
"proxyConfiguration": {
"title": "Proxy Configuration",
"type": "object",
"description": "Optional proxy settings. The Himalayas API is openly accessible, so a proxy is not required; enable it only if you want to route requests through Apify Proxy.",
"default": {
"useApifyProxy": false
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```