Himalayas Jobs Scraper 🏔️💼✨ - Cheap

Pricing

$19.89/month + usage

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Himalayas Jobs Scraper 🏔️💼✨ - Cheap

Try for free

Easily collect job listings from Himalayas.com, a leading global job portal 🌍 Extract structured job data including job titles, company names, locations, job type, category, posting dates, logos, and more Perfect for job aggregation platforms, HR, global hiring intelligence, & market analysis 💼✨

Pricing

$19.89/month + usage

Rating

5.0

(1)

Developer

Storm_Scraper

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

13 hours ago

Last modified

🏔️ Himalayas Jobs Scraper

Easily collect job listings from Himalayas.com, a leading global job portal 🌍.

This Apify actor extracts structured, analysis-ready job data directly from Himalayas job search results.

Perfect for recruiters, job aggregators, HR agencies, market researchers, lead generation, and global hiring analytics.

🔍 What This Scraper Does

Simply enter a job keyword and country — the scraper handles the rest automatically:

✅ Scrapes job listings from Himalayas.com

✅ Keyword-based job search (software-engineer, data-analyst, marketing-manager, etc.)

✅ Country-based filtering (Worldwide, United States, India, Germany, France, and more)

✅ Limits results to a defined maximum number of jobs

✅ Automatic pagination handling

✅ Extracts company name, job type, category, posted date, and more

✅ Clean, structured output ready for analysis

📦 Extracted Data Fields

🔹 Job Overview

Field	Description
`jobId`	Unique Job ID
`jobTitle`	Job title
`companyName`	Company name
`location`	Job location
`jobType`	Full-time/Part-time/Contract etc.
`category`	Job category
`postedDate`	Date posted
`jobUrl`	Apply link

🔹 Detailed Job Information

Field	Description
`jobId`	Job ID
`jobTitle`	Position title
`companyName`	Employer name
`companyLogo`	Company logo
`location`	Job location
`locationFlag`	Country flag
`jobType`	Type of job
`category`	Job category
`postedDate`	Posted date
`jobUrl`	Apply link

🛠 How to Use the Scraper

1️⃣ Deploy the actor on Apify

2️⃣ Enter a job keyword (e.g., software-engineer, data-analyst)

3️⃣ Select a country (e.g., worldwide, India)

4️⃣ Set the maximum number of jobs to scrape

5️⃣ Run the actor

6️⃣ Export the dataset in your preferred format

📤 Supported Export Formats

✅ JSON
✅ CSV
✅ Excel (XLSX)
✅ XML
✅ HTML

📊 Built-in Dataset Views

Overview 📋 – Quick list of job titles, companies, locations, type & links
Detailed Job Information 📄 – Full details including logos & country flags
Recent Job Postings ⏰ – Recently posted jobs
Companies Hiring 🏢 – Companies actively recruiting
Jobs by Location 🌍 – Grouped by country or region
Jobs by Category 🏷️ – Grouped by job category
Remote Jobs 🌐 – Jobs suitable for remote applicants

💡 Use Cases

💼 Job Aggregation Platforms

📊 Global Job Market Analysis

🎯 Recruitment & Talent Sourcing

📈 Hiring Trends & Demand Analysis

🤖 AI / NLP Training Data

🏢 Company Hiring Intelligence

💸 Pricing

This scraper operates on a monthly subscription model — you only pay for successful results.

💳 Price: $19.89 / month

If you're interested in other Jobs, Company Leads, YouTube or Facebook scraping solutions, check out these related tools:

✏️ Input Schema Example

Use the following configuration to start scraping:

{
  "keyword": "software-engineer",
  "country": "worldwide",
  "max_items": 50
}

Field	Description
`keyword`	Job search keyword
`country`	Country to search jobs in
`max_items`	Maximum number of jobs to scrape

📤 Output Example

{
  "jobId": "HIM123456",
  "jobTitle": "Software Engineer",
  "companyName": "XYZ Technologies",
  "companyLogo": "https://himalayas.com/logo.png",
  "location": "New York, USA",
  "locationFlag": "https://himalayas.com/flags/us.png",
  "jobType": "Full-time",
  "category": "IT & Software",
  "postedDate": "2 days ago",
  "jobUrl": "https://himalayas.com/job/..."
}

📫 Support

😊 Leave us a 5-star rating ⭐⭐⭐⭐⭐ if you’re satisfied with the scraper

🌍 For any questions, specific needs, or issues, reach out through Apify's platform or via email - Storm_Scraper 🌪️🌩️

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