Multi Job Board Scraper

Multi Job Board Scraper aggregates job listings from up to 6 job boards in a single run — LinkedIn, Indeed, Glassdoor, Bayt, Naukri, and BDJobs — into one clean, de-duplicated dataset you can download as JSON, CSV, Excel, or XML. No coding, no logins, no API keys.

One search, every board. Type what you're looking for and where, pick your boards, click Start, and watch a unified dataset fill up with structured jobs from all of them at once.

What data does it extract?

Every result is one job listing, in the same shape no matter which board it came from:

Data	Details
🌐 Source	which site the job came from, plus the searchTerm that surfaced it
💼 Job	title, posting URL, direct apply URL, posting date, employment type, remote flag
🏢 Company	nested company object: name, page, website, logo, banner, industry, size, revenue, description, address, CEO, rating, reviews
📍 Location	formatted location plus structured city, state, and country
💰 Salary	min/max, currency, and pay interval — listed by the board or parsed from the description; optionally normalized to annual
🧰 Extras	skills, seniority level, job function, experience range, badges, and emails found in the description
📝 Description	the full job description as Markdown, HTML, or plain text — your choice

How do I scrape multiple job boards?

1. Say what you want — enter Search keywords and a Location.
2. Pick your boards — choose any of LinkedIn, Indeed, Glassdoor, Bayt, Naukri, BDJobs.
3. Narrow it down (optional) — filter by date posted, job type, remote, distance, and quick-apply.
4. Set how many — Max results per board controls how many jobs each board returns.
5. Click Start — then download the unified results from the Storage tab, or push them anywhere with integrations.

Want several queries at once? Add them under Multiple search terms — results are merged and de-duplicated, and each job records which term found it.

Choosing boards

Most boards are global, but a few are regional — pick the ones that fit your market:

• LinkedIn, Indeed, Glassdoor — global. Set Country so Indeed and Glassdoor search the right site.
• Bayt — Middle East. Naukri — India. BDJobs — Bangladesh.

Input example

{
    "searchTerm": "software engineer",
    "location": "New York, NY",
    "sites": ["linkedin", "indeed", "glassdoor"],
    "maxResults": 25,
    "hoursOld": 168,
    "jobType": "fulltime",
    "isRemote": true,
    "countryIndeed": "usa",
    "descriptionFormat": "markdown",
    "deduplicate": true
}

Run several queries in one go:

{
    "searchTerms": ["AI engineer", "machine learning engineer"],
    "location": "Remote",
    "sites": ["linkedin", "indeed"],
    "maxResults": 50,
    "fetchExtraJobInfo": true
}

Output example (abridged)

{
    "id": "indeed-620a09117e853bdf",
    "site": "indeed",
    "title": "Senior Software Engineer",
    "url": "https://www.indeed.com/viewjob?jk=620a09117e853bdf",
    "applyUrl": "https://careers.example.com/job/12345",
    "company": {
        "name": "Example Corp",
        "url": "https://www.indeed.com/cmp/Example-Corp",
        "website": "https://www.example.com",
        "logo": "https://.../logo.png",
        "bannerPhoto": "https://.../banner.png",
        "industry": "Software Development",
        "employeeCount": "1,000 to 5,000",
        "revenue": "more than $1B (USD)",
        "description": "Example Corp builds…",
        "address": "350 5th Ave, New York, NY",
        "ceoName": "Jane Doe",
        "rating": 4.1,
        "reviewsCount": null
    },
    "location": { "formatted": "New York, NY", "city": "New York", "state": "NY", "country": "United States" },
    "isRemote": true,
    "postedDate": "2026-06-12",
    "jobType": ["Full-time"],
    "salary": { "min": 165000, "max": 210000, "currency": "USD", "interval": "yearly", "source": "direct" },
    "jobLevel": "Mid-Senior level",
    "jobFunction": "Engineering and Information Technology",
    "skills": ["Python", "AWS", "Kubernetes"],
    "experienceRange": null,
    "benefits": ["Actively Hiring"],
    "listingType": null,
    "emails": ["careers@example.com"],
    "searchTerm": "software engineer",
    "descriptionText": "## About the role\nWe're hiring…",
    "descriptionHtml": "<div>About the role…</div>"
}

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 + de-duplicated). Overrides searchTerm.
location	string	City, state, country, or Remote.
sites	array	Boards to scrape: linkedin, indeed, glassdoor, bayt, naukri, bdjobs.
maxResults	integer	Max jobs per board per term (1–1000). Default 20.
isRemote	boolean	Return only remote roles. Default false.
jobType	string	fulltime, parttime, contract, internship, or temporary. Empty = any.
hoursOld	integer	Only jobs posted within the last N hours.
countryIndeed	string	Country for Indeed & Glassdoor (name or 2-letter code). Default usa.
distance	integer	Search radius in miles. Default 50.
offset	integer	Skip the first N results (LinkedIn, Glassdoor, Naukri).
easyApply	boolean	Only quick-apply jobs. Default false.
fetchExtraJobInfo	boolean	Collect richer per-job data. LinkedIn & BDJobs open each job's detail page (LinkedIn: description, seniority, type, function, apply URL; BDJobs: description, skills); Naukri keeps the description already in its search response. Default false.
linkedinCompanyIds	array	Restrict LinkedIn to specific company IDs.
descriptionFormat	string	markdown, html, or text. Default markdown.
enforceAnnualSalary	boolean	Convert all salaries to annual. Default false.
deduplicate	boolean	Drop duplicate roles within/across boards. Default true.

Why scrape multiple job boards?

• Complete market coverage — no single board has every job; aggregating finds far more.
• Job-market research — compare demand for roles and skills across boards and regions.
• Recruiting & sourcing — see who's hiring everywhere, with company details and contact emails.
• Salary benchmarking — gather pay ranges across boards, normalized to annual for easy comparison.

Pricing

This Actor uses pay-per-event pricing: a small fee when a run starts, plus a fee per job delivered. You only pay for the listings you actually receive — Max results per board controls your spend.

Notes

• Reads each board's public job listings — the same ones anyone can browse — so there's no login to set up.
• Boards run concurrently and each handles its own errors: if one board is unavailable, the others still deliver. A per-board summary is written to the run's key-value store (RUN_SUMMARY).
• Residential proxies are used automatically. LinkedIn and Glassdoor rate-limit datacenter IPs hard; on the Apify platform the Actor always routes through Apify Residential proxy.
• 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 + city.
• Reliability varies by board. LinkedIn, Indeed, Glassdoor, and Bayt are the most dependable. Naukri and BDJobs are best-effort and may return fewer results depending on region and timing. Region-specific boards return the most when searched within their region (Bayt = Middle East, Naukri = India, BDJobs = Bangladesh).