MeroJob Nepal Jobs Scraper — Salaries, Skills & Deadlines

Scrape live job vacancies from merojob.com, Nepal's #1 job portal, capturing title, employer, salary, required skills, experience, education, deadline, and apply link — for recruitment agencies, HR teams, and labour-market researchers who need Nepali hiring data without writing and maintaining their own scraper.

Why use the MeroJob Nepal Jobs Scraper?

merojob.com reports over 350 million page views and 4.1 million+ visits a month, 825K+ registered job seekers, and 38K+ employers — it is the dominant job board in a country whose economy is unusually dependent on formal and overseas labour placement. Individual developers already write ad-hoc scrapers against merojob.com's undocumented internal API (several public GitHub repos do exactly this) because there's no official public API — this actor replaces that brittle, hand-rolled script with a maintained one.

Main capabilities:

• Reads merojob.com's own JSON API (api.merojob.com), the same one the site's frontend uses — every job record already includes employer profile, salary, skills, education, and full description in one response.
• Filter by keyword (matched against title and description) and/or category (merojob.com's own job categories, e.g. "Accounting / Finance", "IT & Telecommunication").
• Toggle full description/requirements text on or off to keep the dataset lighter.
• Runs on the Apify platform, so you get scheduling (daily/weekly feeds), API and webhook access, and monitoring out of the box.

Typical use cases:

• Recruitment & manpower agencies — Nepal has one of the world's largest labour-export economies; agencies sourcing candidates for Gulf, Malaysia, or Korea placements can monitor new postings and salary comparables without checking the site manually every morning.
• HR teams at Nepali and multinational employers doing salary benchmarking against live market postings.
• Job-aggregator and career-advice sites pulling structured Nepali job data into their own product.
• Labour-market researchers / NGOs tracking Nepal employment trends by category, employer, and region.

How to use the MeroJob Nepal Jobs Scraper

1. Click Try for free (or Run) on this actor's page.
2. Optionally set a Keyword (e.g. "accountant") and/or a Category (e.g. "IT & Telecommunication") to narrow results. Leave both blank to pull all live jobs.
3. Set Max items to cap how many jobs you want back.
4. Toggle Include full description off if you only need the structured fields (salary, skills, deadline, etc.) without the full description/requirements text.
5. Click Start and wait for the run to finish.
6. Open the Dataset tab and export your jobs as JSON, CSV, or Excel — or pull them programmatically via the API tab.

How much will it cost to use the MeroJob Nepal Jobs Scraper?

You pay $0.004 per result — no subscription, no charge for anything else.

Your Apify discount tier	Price per result	1,000 results
Free	$0.004	$4.00
Bronze	$0.0035	$3.50
Silver	$0.003	$3.00
Gold	$0.0025	$2.50
Platinum / Diamond	$0.0025	$2.50

Apify's free plan includes $5 of monthly credit. merojob.com typically has around 200 live jobs at any time, so a full daily refresh of the entire site (~$0.85 at the Free tier) comfortably fits inside the free credit with room to spare.

A run stops automatically once it has returned maxItems results or once it hits your run's maximum charge (Apify's pay-per-result cost cap) — so maxItems directly controls what a run can cost you.

Input

All fields are optional — running the actor with an empty input ({}) scrapes the newest 100 live jobs across every category. See the Input tab for the full configuration schema.

Field	Type	Default	Description
keyword	string	"" (all)	Only return jobs matching this keyword, searched against title and description, e.g. "accountant".
category	string	"" (all)	Only return jobs in this merojob.com category, using the exact name shown on the site, e.g. "Accounting / Finance", "IT & Telecommunication", "Sales and Marketing".
maxItems	integer	100	Maximum number of jobs to return.
includeFullDescription	boolean	true	Include each job's full description and requirements as plain text. Turn off for a lighter dataset.

Example input for "the first 20 live IT & Telecommunication jobs, without full description text":

{
  "category": "IT & Telecommunication",
  "maxItems": 20,
  "includeFullDescription": false
}

Output

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel. One item is produced per job, with the same keys every time (null when that data isn't available for a given posting). This is a real item from a live run of this actor (tests/smoke_input.json), with the long text fields trimmed for readability:

{
  "jobId": "203621",
  "title": "Client Relations Executive",
  "slug": "client-relations-executive-6",
  "url": "https://merojob.com/client-relations-executive-6/",
  "employerName": "Merojob",
  "employerSlug": "merojobcom",
  "employerIndustry": "E-Commerce/ E-Business",
  "employerWebsite": "https://merojob.com",
  "categories": ["Sales / Public Relations", "Relationship"],
  "jobLevel": "Mid Level",
  "employmentType": ["Full Time"],
  "vacancies": 3,
  "offeredSalary": "NRs 25,000 - 28,000 Monthly",
  "salaryHidden": false,
  "experienceRequired": "Less than 2 years",
  "educationLevel": "Under Graduate (Bachelor)",
  "educationDescription": null,
  "skills": ["Communication", "Fast Learner", "Team Player", "Positive Attitude", "Accountable", "Client Relation", "Relationship-Building Skills", "B2B Sales"],
  "jobLocations": ["Minbhawan-31, Kathmandu"],
  "postedDate": "2026-09-13",
  "deadline": "2026-09-28T18:10:00Z",
  "hitCount": 152,
  "isPublished": true,
  "description": "Merojob is seeking a highly motivated and results-driven Client Relations Executive to join our dynamic team...",
  "requirements": "Bachelor's degree in Business Administration, Marketing, or a related field.\nAbout 2 years of experience in B2B sales...",
  "applyUrl": "https://merojob.com/client-relations-executive-6/"
}

Field reference

Field	Description
jobId, slug, url	merojob.com's internal job ID, URL slug, and the job's public page
title	Job title
employerName, employerSlug, employerIndustry, employerWebsite	Hiring employer's profile on merojob.com
categories	merojob.com category tags for this job
jobLevel	Seniority level, e.g. "Mid Level", "Entry Level"
employmentType	e.g. ["Full Time"]
vacancies	Number of open positions for this posting
offeredSalary	Human-readable salary string (currency, range, unit), null if the employer hid it
salaryHidden	true if the employer chose not to publish a salary
experienceRequired	Free-text experience requirement, e.g. "Less than 2 years"
educationLevel, educationDescription	Required education level and any extra detail
skills	Required/preferred skill tags
jobLocations	Work location(s)
postedDate, deadline	When the job was posted and when applications close
hitCount	Number of views the posting has received on merojob.com
isPublished	Whether the listing is currently live
description, requirements	Full job description and requirements as plain text; null if includeFullDescription is off
applyUrl	Link to apply — merojob.com handles the full application flow on this page

FAQ, disclaimers, and support

Is this legal? Yes. Every job this actor returns is a live, public vacancy that merojob.com itself displays to any visitor without a login. merojob.com's robots.txt places no Disallow rules on this data and its own Content-Signal explicitly sets ai-input=yes. This actor only reads merojob.com's own public API — no login, no CAPTCHA solving, no personal candidate data (only employer-published job postings).

Why did my run return fewer than maxItems results? merojob.com has roughly 200 live jobs at any given time (fewer if you narrow with keyword/category) — rerun with broader filters to see more, or check back later as new jobs are posted daily.

Why is offeredSalary often null? Many employers on merojob.com choose not to publish a salary; in that case salaryHidden is true and offeredSalary is null. This is the employer's choice, not a scraping gap.

How fresh is the data? As fresh as merojob.com itself — jobs are pulled live from the site's own API on every run.

Can I filter by exact category? Yes — set category to the exact category name shown on merojob.com (case-sensitive substring match against the job's own category list), e.g. "Accounting / Finance".

Legal & compliance note

All data comes from merojob.com's own public API, which the site's frontend itself calls to render job listings to any visitor without requiring login or payment. This actor identifies itself with a descriptive User-Agent and paces its requests politely. It collects only employer-published job postings and public company information — no personal job-seeker data.

Limits & notes

• api.merojob.com is an undocumented internal API (not an officially published one), so its response shape could change without notice. This actor maps fields defensively and returns null for any field the API stops sending.
• merojob.com's total live-job corpus is modest (roughly 200 jobs) — treat this actor as a daily monitoring/refresh tool rather than a one-off big-data pull.

Support

Found a bug or have a feature request? Use the Issues tab on this actor's page. For programmatic access, see the API tab for ready-made code snippets in your language of choice.