💼 Jobs Scraper — Indeed, LinkedIn & Glassdoor

Extract job listings from Indeed, LinkedIn, and Glassdoor simultaneously with a single keyword search. Get structured job data including salary, company details, remote status, apply links, and more — all in a unified schema. Export to JSON, CSV, Excel, or feed directly into your AI pipeline.

$3 per 1,000 results. Export scraped data, run the scraper via API, schedule and monitor runs, or integrate with other tools.

---

Why Use This Scraper?

Most job scrapers on the Apify Store only cover one platform. To aggregate data across Indeed, LinkedIn, and Glassdoor, you'd need to run three separate actors, manage three different schemas, and manually reconcile duplicates. This actor does it all in one run:

• Unified schema — every job record has the same fields regardless of platform, so your spreadsheet or database just works
• Salary normalization — $80K/yr, $80,000 a year, and {min: 80000} all become salary_min: 80000, salary_period: "yearly" — no more messy string parsing
• Cross-platform deduplication — when the same job appears on two platforms, you get one clean record, not two
• No cookies or login required — scrapes LinkedIn's public job search without an account. Glassdoor and Indeed scraped via public search pages
• PPE pricing — you only pay for what you get. No $25/month flat fee for a scraper that might be down

---

Features

• 3 platforms in one run — Indeed, LinkedIn, and Glassdoor simultaneously
• Keyword + location search — just type "data engineer" and "Austin, TX" and go
• Salary normalization — all salary formats unified into salary_min, salary_max, salary_currency, salary_period
• Cross-platform dedup — optional flag to remove jobs that appear on multiple platforms
• Job type filter — fulltime, parttime, contract, internship, temporary
• Remote filter — toggle to show only remote/WFH jobs
• Posted date filter — only return jobs posted in the last X hours
• Company details — rating, review count, industry, size, website
• Skills extraction — automatically detects skills from job descriptions
• Graceful Glassdoor fallback — if Glassdoor blocks, the run continues with Indeed + LinkedIn rather than failing entirely
• MCP-ready — works directly with Claude and other AI agents via Apify's MCP server

---

Use Cases

Recruiters & HR Teams Build a live feed of who's hiring for specific roles, monitor competitor hiring activity, and benchmark salaries across regions — all from a single API call.

Job Market Researchers Aggregate hundreds of job listings daily for trend analysis: which skills are in demand, which companies are scaling, where salaries are moving.

Salary Benchmarking Pull salary data for any role + location combination across three major platforms and normalize it into a consistent format for analysis.

ATS / Job Board Enrichment Feed fresh job listings from all three major platforms into your own job board, internal dashboard, or CRM with structured, clean data.

AI Pipeline Integration Use this actor as a data source for AI-powered job matching, career guidance agents, or labor market analysis systems via the Apify MCP server.

---

Input Parameters

Basic Search

Parameter	Type	Default	Description
searchQuery	string	"software engineer"	Job title, skills, or keyword to search for
location	string	"United States"	City, state, country, or "Remote"
platforms	array	["indeed","linkedin","glassdoor"]	Which platforms to scrape
maxResults	integer	50	Max total jobs to return (distributed evenly across platforms)

Filters

Parameter	Type	Default	Description
jobType	string	"all"	all, fulltime, parttime, contract, internship, temporary
isRemote	boolean	false	Only return remote/WFH jobs
hoursOld	integer	0	Only jobs posted in the last X hours (0 = no filter)
deduplicate	boolean	true	Remove cross-platform duplicates

Example Input

{
    "searchQuery": "data engineer",
    "location": "New York, NY",
    "platforms": ["indeed", "linkedin"],
    "maxResults": 100,
    "jobType": "fulltime",
    "isRemote": false,
    "hoursOld": 48,
    "deduplicate": true
}

Health check / minimal input:

{
    "searchQuery": "software engineer",
    "location": "United States",
    "maxResults": 5
}

---

Output Schema

Each record in the dataset contains:

{
    "job_title": "Senior Data Engineer",
    "company_name": "Airbnb",
    "location": "San Francisco, CA",
    "is_remote": false,
    "salary_min": 150000,
    "salary_max": 200000,
    "salary_currency": "USD",
    "salary_period": "yearly",
    "job_type": "fulltime",
    "seniority_level": "Mid-Senior level",
    "description": "We are looking for a Senior Data Engineer...",
    "skills": ["python", "sql", "aws", "spark"],
    "posted_date": "2026-03-28T09:00:00.000Z",
    "apply_url": "https://www.linkedin.com/jobs/view/3987654321",
    "easy_apply": true,
    "platform": "linkedin",
    "company_rating": 4.3,
    "company_reviews_count": 3241,
    "company_size": "1001-5000 employees",
    "company_industry": "Internet & Web Services",
    "company_website": "https://airbnb.com",
    "source_url": "https://www.linkedin.com/jobs/search/?keywords=data+engineer...",
    "scraped_at": "2026-03-31T10:30:00.000Z"
}

Field Reference

Field	Type	Notes
job_title	string	Job title as listed
company_name	string	Hiring company name
location	string	City, state, or "Remote"
is_remote	boolean	Detected from location + metadata
salary_min	number|null	Normalized to salary_period units
salary_max	number|null	Normalized to salary_period units
salary_currency	string|null	ISO 4217 code, e.g. "USD"
salary_period	string|null	"yearly", "monthly", or "hourly"
job_type	string|null	fulltime / parttime / contract / internship
seniority_level	string|null	Primarily from LinkedIn
description	string	Full job description text
skills	array|null	Auto-detected from description
posted_date	string|null	ISO 8601
apply_url	string	Direct link to job listing
easy_apply	boolean|null	LinkedIn Easy Apply / Indeed Quick Apply
platform	string	"indeed", "linkedin", or "glassdoor"
company_rating	number|null	0–5 stars (Indeed, Glassdoor)
company_reviews_count	integer|null	Employee review count
company_size	string|null	E.g. "1001-5000 employees"
company_industry	string|null	Industry category
company_website	string|null	Company homepage URL
source_url	string	Search results page that was scraped
scraped_at	string	ISO 8601 scrape timestamp

---

Pricing

This actor uses Pay-Per-Event pricing — you only pay for jobs actually returned.

Plan	Price per 1,000 jobs
Free tier	$3.00
Bronze+	$3.00

Example cost estimates:

• 100 jobs = ~$0.30
• 500 jobs = ~$1.50
• 1,000 jobs = ~$3.00
• 5,000 jobs = ~$15.00

No monthly fee. No minimum spend. You stop paying when results stop.

---

Platform Notes

Indeed

• Searches public job listings globally (60+ countries supported)
• Salary data available on ~40–60% of listings
• Company ratings and review counts included where available
• Pagination handled automatically

LinkedIn (No Login Required)

• Uses LinkedIn's public job search — no cookies or account needed
• Seniority level and employment type from job criteria section
• Easy Apply detection included
• Skills extracted from job detail pages

Glassdoor

• Glassdoor now requires an Indeed account for full browse access
• The actor attempts to extract as many jobs as possible before login walls trigger
• If blocked, the run continues with Indeed + LinkedIn and logs a warning
• Residential proxies are used to improve Glassdoor reliability

---

Performance

Platform	Avg jobs/minute	Notes
Indeed	~20/min	Residential proxy, paginated
LinkedIn	~25/min	Guest API, no auth needed
Glassdoor	~10/min	Slower due to bot detection mitigation

A run for 100 jobs typically completes in 3–6 minutes. Large runs (1,000+ jobs) may take 30–60 minutes depending on proxy availability.

---

Limitations

• Glassdoor login wall — Glassdoor increasingly requires login to see full results. The actor extracts visible listings before the wall but cannot bypass authentication.
• LinkedIn result cap — LinkedIn's public search returns up to ~1,000 results per query. For broader coverage, narrow your search parameters.
• Salary availability — Salary data is only available on ~40–60% of Indeed listings and varies by location. LinkedIn and Glassdoor show salary on fewer listings.
• Selectors may break — Job platforms frequently update their HTML. If you notice empty results, please open an issue — we aim to fix selector changes within 48 hours.
• Rate limits — Running with maxResults above 500 on a single platform may trigger temporary rate limiting. The actor backs off automatically using session rotation and residential proxies.

---

Works Great With

• Contact Info Finder — Enrich job listings with recruiter emails from company websites
• Apify Datasets — Export results to Google Sheets, Airtable, or any webhook
• Apify Schedules — Run daily to monitor new job postings for specific roles

---

Support

Found a bug? Selectors breaking? Open an issue in the Issues tab. We respond within 48 hours.

If this actor saved you time, please leave a ⭐ review — it helps us maintain and improve the scraper.

---

Changelog

v1.0.0 (2026-03-31)

• Initial release
• Indeed, LinkedIn, and Glassdoor support
• Salary normalization across all platforms
• Cross-platform deduplication
• PPE pricing at $0.003/result