Job Scraper - LinkedIn, Indeed, Glassdoor, Google Jobs & More

Job Scraper — LinkedIn Jobs, Indeed, Glassdoor, Bayt, Naukri & BDJobs in One Run

Search LinkedIn, Indeed, Glassdoor, Bayt, Naukri and BDJobs together and get one clean, de-duplicated table: title, company, location, salary, job type, company profile and the full description, one flat row per job. Download it as CSV, Excel, JSON or XML. Nothing to install and no account to connect: type a search and click Start.

One actor replaces three: it's a LinkedIn jobs scraper, an Indeed scraper and a Glassdoor scraper that all answer the same search and land in the same table. A default run of 60 jobs from three boards finishes in about 10 to 30 seconds.

What you can do

• Search LinkedIn, Indeed and Glassdoor at once and get one spreadsheet instead of three browser tabs.
• Cover 80 countries, from the United States and Germany to the UAE, India and Bangladesh.
• Run several searches and cities in one go: up to 5 search terms in up to 10 locations, and every job shows which term and location brought it in.
• Target companies on LinkedIn: get jobs from Google, Amazon or any company by its LinkedIn company ID.
• Set your search radius: from the city itself out to 200 miles on LinkedIn and Indeed.
• Get full job details by default: complete descriptions, seniority, employment type, skills, benefits, apply links and company profiles (industry, size, revenue, website, rating).
• Filter before you pay: job type, remote only, easy apply and posting date are applied on the boards themselves.
• Drop duplicates of the same role posted on several boards.

Use cases

• Talent sourcing: see every opening for a role in your city across the big boards, then reach out to the companies behind them.
• Prospect lists from hiring signals: companies that post jobs have budget and are growing. Pull their industry, size, revenue and website straight from the listings.
• Job board content: fill a niche or regional job site with fresh postings on a daily schedule.
• Pay and demand research: compare salary ranges, remote share and the skills employers ask for, city by city or country by country.
• Personal job alerts: run a daily search for the roles you want and get only the new ones in a spreadsheet, email or Slack.
• Live data for AI: let an assistant or LLM app look up current openings on request through MCP or the API.

How to use it

1. Say what you want: enter Search keywords, pick a Country, and optionally a Location inside it.
2. Pick your boards: any of LinkedIn, Indeed, Glassdoor, Bayt, Naukri and BDJobs.
3. Narrow it down (optional): posting date, job type, remote, easy apply, search radius, LinkedIn companies.
4. Set how many: Max results per board controls how many jobs each board returns for each search.
5. Click Start, then download your results as CSV, Excel or JSON from the Output tab, or send them anywhere with integrations.

Want several queries at once? Add them under Multiple search terms and Multiple locations. Every term runs in every location, results are merged and de-duplicated, and each job records the term and location that found it.

Choosing boards

Most boards are global, and a few are regional. Pick the ones that fit your market:

• LinkedIn, Indeed, Glassdoor: global. Country picks the country they search; leave Location empty to search the whole country, or type a city or region inside it.
• Bayt: the Middle East. Naukri: the Gulf and the Middle East. Both search the selected Country, so pick a Gulf or Middle East country for them.
• BDJobs: Bangladesh. It has its own BDJobs market field: Bangladesh by default, or one of the overseas markets BDJobs lists jobs for (Saudi Arabia, UAE, Qatar, Malaysia and more).

What you get

Every job is one flat row with the same columns whichever board it came from, so a CSV or Excel export is ready to filter and sort straight away.

Column	What it holds
id, site	Unique job ID and the board it came from
title, company	Job title and hiring company
location, location_city, location_state, location_country	Where the job is, as one line and split into parts
job_url, job_url_direct	The posting on the board and the direct apply link
job_type, is_remote, date_posted	Employment type, remote flag, posting date
salary_min, salary_max, salary_currency, salary_interval, salary_source	Pay range, listed by the board (direct_data) or read from the description (description)
job_level, job_function, listing_type	Seniority, job category, sponsored or not
company_industry, company_num_employees, company_revenue	Company profile
company_url, company_url_direct, company_logo, banner_photo_url	Company page on the board, company website, images
company_addresses, company_description, company_ceo	Headquarters, about the company, CEO
company_rating, company_reviews_count	Employee rating and number of reviews (Glassdoor)
description	The full job description in Markdown, HTML or plain text
emails, skills, benefits, experience_range	Contact emails found in the description, skill tags, perks, experience asked for
search_term, matched_search_term, matched_location	The run's search terms, and the term and location that found this job
scraped_at	When the job was collected

The Output tab also gives you ready-made Overview, Companies and Salaries views.

Output example

{
    "id": "indeed-620a09117e853bdf",
    "site": "indeed",
    "title": "Senior Software Engineer",
    "company": "Example Corp",
    "location": "New York, NY, United States",
    "location_city": "New York",
    "location_state": "NY",
    "location_country": "United States",
    "job_url": "https://www.indeed.com/viewjob?jk=620a09117e853bdf",
    "job_url_direct": "https://careers.example.com/job/12345",
    "job_type": "Full-time",
    "is_remote": false,
    "date_posted": "2026-11-02",
    "salary_source": "direct_data",
    "salary_min": 165000,
    "salary_max": 210000,
    "salary_currency": "USD",
    "salary_interval": "yearly",
    "job_level": null,
    "job_function": null,
    "listing_type": null,
    "company_industry": "Software Development",
    "company_url": "https://www.indeed.com/cmp/Example-Corp",
    "company_url_direct": "https://www.example.com",
    "company_addresses": "350 5th Ave, New York, NY",
    "company_description": "Example Corp builds payroll software for small businesses.",
    "company_num_employees": "1,000 to 5,000",
    "company_revenue": "more than $1B (USD)",
    "company_rating": null,
    "company_reviews_count": null,
    "company_logo": "https://d2q79iu7y748jz.cloudfront.net/s/_squarelogo/example.png",
    "banner_photo_url": "https://d2q79iu7y748jz.cloudfront.net/s/_headerimage/example.png",
    "company_ceo": "Jane Doe",
    "description": "## About the role\nWe're hiring a senior engineer to build our payroll platform…",
    "emails": "careers@example.com",
    "skills": "Python, AWS, Kubernetes",
    "benefits": "Health insurance, 401(k)",
    "experience_range": null,
    "search_term": "software engineer, backend engineer",
    "matched_search_term": "software engineer",
    "matched_location": "New York, NY",
    "scraped_at": "2026-11-08T10:15:32.412Z"
}

Columns a board doesn't provide come back empty: for example, company_rating and company_reviews_count come from Glassdoor, and job_level from LinkedIn and Bayt.

Input examples

A focused search with filters:

{
    "searchTerm": "registered nurse",
    "country": "us",
    "location": "Austin, TX",
    "distance": 25,
    "sites": ["linkedin", "indeed", "glassdoor"],
    "maxResults": 25,
    "hoursOld": 168,
    "jobType": "fulltime"
}

Several queries in several cities, remote only:

{
    "searchTerms": ["AI engineer", "machine learning engineer"],
    "country": "us",
    "locations": ["San Francisco, CA", "New York, NY"],
    "sites": ["linkedin", "indeed"],
    "maxResults": 50,
    "isRemote": true
}

Jobs from specific companies on LinkedIn (Google and Amazon Web Services):

{
    "searchTerm": "engineer",
    "country": "us",
    "location": "New York, NY",
    "sites": ["linkedin"],
    "linkedinCompanyIds": ["1441", "2382910"],
    "maxResults": 100
}

The Gulf, with the regional boards:

{
    "searchTerms": ["accountant", "محاسب"],
    "country": "ae",
    "location": "Dubai",
    "sites": ["bayt", "naukri", "linkedin"],
    "maxResults": 20
}

Salaries compared across boards, all converted to yearly pay:

{
    "searchTerm": "data engineer",
    "country": "gb",
    "location": "London",
    "sites": ["linkedin", "indeed", "glassdoor"],
    "maxResults": 100,
    "enforceAnnualSalary": true
}

Input reference

Field	Type	Description
searchTerm	string	Job title, skill or company to search for.
searchTerms	array	Up to 5 queries to run in one go (merged and de-duplicated). Replaces searchTerm.
country	string	Country to search, as a 2-letter code from the list (for example us, de, ae). Default us.
location	string	City, state or region inside the selected country. Empty searches the whole country.
locations	array	Up to 10 locations to search in one go. Replaces location.
distance	integer	Search radius around the location in miles (LinkedIn, Indeed), 0 to 200. Default 50.
linkedinCompanyIds	array	LinkedIn company IDs, for example 1441 for Google. LinkedIn then returns only those companies' jobs.
sites	array	Boards to search: linkedin, indeed, glassdoor, bayt, naukri, bdjobs. Default: LinkedIn, Indeed, Glassdoor.
maxResults	integer	Jobs per board for each search term and location (1 to 1000). Default 20.
jobType	string	fulltime, parttime, contract, internship or temporary (LinkedIn, Indeed, Glassdoor, Bayt, BDJobs). Empty means any.
hoursOld	integer	Only jobs posted within the last N hours (LinkedIn, Indeed, Glassdoor, Bayt).
isRemote	boolean	Only remote roles. Default false.
easyApply	boolean	Only jobs you apply to on the board itself (LinkedIn, Indeed, Glassdoor, Naukri, Bayt). Default false.
fetchExtraJobInfo	boolean	Full job details: description, seniority, type, function, skills, benefits, apply link and company profile. Indeed always includes them. Default true.
bdjobsCountry	string	BDJobs market: bd (Bangladesh) or an overseas market code such as sa, ae, qa, my. Default bd.
descriptionFormat	string	markdown, html or text. Default markdown.
offset	integer	Skip the first N results, to continue an earlier run (LinkedIn, Glassdoor, Naukri, BDJobs, Bayt).
enforceAnnualSalary	boolean	Convert every salary to yearly pay (hourly × 2080, monthly × 12). Default false.
deduplicate	boolean	Keep each role once, within and across boards. Default true.

Pricing

You pay per job delivered, with no subscription and no monthly minimum. Jobs removed as duplicates are never charged.

Your Apify plan	Price per 1,000 jobs
Free and Starter	$5.00
Scale	$4.50
Business and higher	$4.00

A tiny run-start fee of $0.00005 applies per run.

What typical runs cost on the Starter plan:

• A daily alert for one role on LinkedIn, Indeed and Glassdoor, 10 jobs each: up to 30 jobs, $0.15.
• One city, 5 related job titles, 3 boards, 50 jobs each: up to 750 jobs, $3.75.
• A country-wide salary study, 2 titles, 3 boards, 500 jobs each: up to 3,000 jobs, $15.00.

Your bill can never pass boards × search terms × locations × Max results per board, and duplicates bring it below that. Set a maximum cost per run in Apify Console if you want a hard limit: the run stops as soon as it's reached.

Integrations

• Spreadsheets and team tools: new jobs can flow into Google Sheets, Airtable, Slack or your CRM after every run.
• Automation platforms: connect it to Zapier, Make or n8n and build any workflow around fresh job data.
• Daily schedule: set it to run each morning with Posted within at 24, and a webhook can tell your own system the moment the jobs are ready.
• HTTP: everything in the Console is also available over Apify's REST API.

Run it from your code or AI assistant

From JavaScript with the Apify client (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('vero-api/multi-job-board-scraper-linkedin-indeed-glassdoor-more').call({
    searchTerm: 'data analyst',
    country: 'gb',
    location: 'London',
    sites: ['linkedin', 'indeed', 'glassdoor'],
    maxResults: 50,
    hoursOld: 72,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.length, 'jobs');

From Python (pip install apify-client):

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("vero-api/multi-job-board-scraper-linkedin-indeed-glassdoor-more").call(run_input={
    "searchTerms": ["product manager", "product owner"],
    "country": "de",
    "sites": ["linkedin", "indeed", "glassdoor"],
    "maxResults": 30,
})
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item["site"], item["title"], item["company"], item["salary_min"])

Your token is under Settings → API & Integrations in Apify Console.

AI assistants such as Claude, ChatGPT and Cursor can run it too, through the Apify MCP server. Add this to your assistant's MCP settings:

{
  "mcpServers": {
    "job-scraper": {
      "url": "https://mcp.apify.com?tools=vero-api/multi-job-board-scraper-linkedin-indeed-glassdoor-more"
    }
  }
}

Then just ask, for example:

• "Show me data engineering jobs in Toronto from the last three days, with pay where it's listed."
• "Which companies are hiring accountants in Dubai right now?"
• "List Google's open engineering jobs in New York."

FAQ

Can I use this as a jobs API? Yes. Start a run over HTTP or with the Apify client and read the jobs back as JSON, or use run-sync-get-dataset-items to get them in a single call. You work with one API and one set of columns for every board, and there's nothing to apply for.

What's the price per job? Half a cent on the Free and Starter plans ($5.00 per 1,000), with lower rates on Scale ($4.50) and Business and higher ($4.00).

How many jobs can I get? Up to 1,000 per board for each search term and location. For example, 3 boards × 2 search terms × 50 results is up to 300 jobs in one run.

How fast is it? A default run of 60 jobs from three boards takes about 10 to 30 seconds, and jobs land in your dataset as each board delivers them.

Which countries does it cover? 80 countries. LinkedIn and Glassdoor search every one of them, Indeed searches the 62 countries where it has its own site, Bayt and Naukri focus on the Gulf and the Middle East, and BDJobs on Bangladesh and its overseas markets.

How do I find a LinkedIn company ID? Open the company's jobs on LinkedIn and look at the link: the number after f_C= is the ID (for example 1441 for Google). You can add several.

Can I open the results in Excel or Google Sheets? Yes. Every job is one flat row with simple columns such as company, salary_min and job_url, so the CSV and Excel exports open cleanly with no extra steps.

What does Location do when I leave it empty? LinkedIn, Indeed and Glassdoor search the whole selected country.

Do filters cost me anything? No. On LinkedIn, Indeed, Glassdoor and Bayt, job type, remote, easy apply and posting date are applied by the boards themselves, so you only pay for jobs that match. Naukri applies remote and easy apply, and BDJobs job type and remote.

Why do I get fewer jobs than Max results? That board had fewer matching jobs for your search, or some were removed as duplicates of jobs another board already returned. Try a broader term, fewer filters or more boards.

How fresh are the jobs? They're read live from each board when you run the scraper. Set Posted within to 24 to get only jobs from the last day.

Can I get only new jobs every day? Yes. Schedule the scraper daily with Posted within set to 24, and use the job id to skip any you already have.

Do I need an account, login or API key? No. The scraper reads public job listings, the same ones anyone can browse.

What formats can I download? CSV, Excel, JSON, XML, RSS and HTML, or read the results through the Apify API.

What data does it collect? Only what a job board shows to every visitor: the posting and the employer's public profile. It never signs in and never touches personal accounts. If a posting includes a recruiter's email, treat it as personal data under your local privacy law (GDPR in Europe, for example).

Is this an official LinkedIn, Indeed or Glassdoor tool? No. This scraper is not affiliated with, endorsed by or sponsored by LinkedIn, Indeed, Glassdoor, Bayt, Naukri or BDJobs. It collects job listings that anyone can see on their websites.

Notes

• Every board you pick is searched at the same time, so one run covers them all. A per-board summary (RUN_SUMMARY) is saved in the run's key-value store, and the run's status line shows how many jobs came from each board.
• The same role often appears on several boards, and several times on one. Remove duplicates (on by default) keeps the first copy by title, company and city.
• Each board returns the most when you search inside its home market: Bayt for the Middle East, Naukri for the Gulf and the Middle East, BDJobs for Bangladesh.

More tools from us

• LinkedIn Jobs Scraper: LinkedIn job listings with full details.
• Indeed Jobs Scraper: Indeed job listings with company profiles and salaries.
• Google Jobs Scraper: jobs from Google's job search, which gathers postings from across the web.
• Bayt Jobs Scraper: jobs across the Middle East.
• Naukri Jobs Scraper: jobs across the Gulf.
• BDJobs Scraper: jobs in Bangladesh and its overseas markets.