🔍 LinkedIn Jobs Scraper — Roles, Companies, Salaries & Hiring Signals

Scrape LinkedIn job listings at scale — title, company, location, salary range, posting date, applicant count, seniority, and direct apply links. A drop-in replacement for LinkedIn Talent Solutions, Hiretual, SeekOut, and hireEZ — at a fraction of the cost.

Why This Scraper Beats LinkedIn Talent Solutions, Hiretual, SeekOut & hireEZ

Feature	NexGenData LinkedIn Jobs	LinkedIn Talent Solutions	Hiretual / hireEZ	SeekOut
Cost	$5 per 1,000 results	$8,000–$30,000 / year	$4,000+ / seat / year	$5,000+ / seat / year
Auth	Apify token only	Enterprise contract	Seat license	Seat license
Bulk export	CSV / JSON / Excel — unlimited	Capped per seat	Capped	Capped
Time-to-first-row	<60 seconds	Sales cycle + onboarding	Sales cycle	Sales cycle
Filters	Keyword, location, level, posted-date, remote	Yes	Yes	Yes
Use in pipelines	Drop into Zapier / Make / n8n	Internal UI only	UI-first	UI-first
Salary data	Included where LinkedIn shows it	Included	Inferred	Inferred

If your only goal is "give me a CSV of every Senior PM job posted this week in fintech," paying $30K/year for Talent Solutions is overkill. This actor delivers the same rows for the price of lunch.

What You Get

• Job title, seniority, employment type (full-time, contract, intern)
• Company name, LinkedIn company URL, industry, employee count band
• Location (city, state, country, remote flag)
• Salary range (when posted)
• Job description (full text)
• Posting date, expires-on, applicant count snapshot
• Direct apply URL + LinkedIn job URL
• Easy-apply flag

Use Cases

• Recruiters — build daily lead lists of companies hiring for specific roles
• Sales teams — detect buyer-intent: companies hiring data engineers = buying data stack
• Market intel — track competitor hiring velocity by team or location
• Compensation benchmarking — aggregate salary ranges by role × geo
• VC analysts — flag portfolio companies scaling fast based on hiring trends
• Job aggregators — power a niche job board with fresh LinkedIn data
• Founders — see who's hiring at startups in your space before press picks it up

Quick Start

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nexgendata/linkedin-jobs-scraper").call(run_input={
    "keywords": "data engineer",
    "location": "San Francisco",
    "maxItems": 500
})
for job in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(job["title"], job["company"], job.get("salary"))

Note: Use maxItems or maxJobs interchangeably; both supported as of v0.0.46. If both are provided, maxItems takes precedence.

Pricing

Pay-per-event — pay only for jobs you extract.

• Actor Start: $0.00005 per GB
• Result (job posting): $0.005 per item

A 1,000-job pull = $5. The same query through Talent Solutions averages $30+ in seat-time cost.

Related NexGenData Actors

Use case	Actor
Detect when a company starts hiring (buyer intent)	Hiring Signal Detector
Find B2B leads by ICP filter	B2B Leads Finder
Enrich a lead list with firmographics	Lead List Enricher
Find professional emails by domain	Company Email Finder
Pull contact info from any business page	Contact Info Scraper
Company-level enrichment	Company Enrichment Tool
Scrape any website's emails	Website Email Extractor

FAQ

Q: Does this require a LinkedIn login or session cookie? No. Scrape runs on public LinkedIn job pages — no account, no cookie, no 2FA.

Q: What about LinkedIn rate limits? Handled internally via Apify proxy rotation and retry. You don't tune anything.

Q: How fresh is the data? Live each run. Listings reflect what LinkedIn shows at request time.

Q: Can I get salary on every job? Only where LinkedIn shows it (roughly 25–40% of postings, varies by jurisdiction).

Q: Output formats? JSON, JSONL, CSV, Excel, RSS, XML — Apify dataset standard.

Q: Is this legal? The hiQ vs. LinkedIn case (9th Circuit) established that scraping public profile / job data is generally permissible. You assume responsibility for compliance in your jurisdiction.

Q: How is this different from your job-board actors? This actor focuses on LinkedIn specifically. For broader coverage, combine with Indeed / Glassdoor / niche board actors in the catalog.

About NexGenData

NexGenData publishes 260+ buyer-intent actors covering SEC filings, YC alumni, real-estate, lead generation, competitive intelligence, stock fundamentals across 30+ exchanges, and a growing fleet of MCP servers. All pay-per-result. Browse the full catalog at https://apify.com/nexgendata?fpr=2ayu9b

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How NexGenData Pricing Works

Every NexGenData actor uses pay-per-event pricing — you only pay for results that actually land in your dataset. No monthly minimum, no seat fees, no surprise overage bills.

• Actor Start: a single-event charge each time you spin the actor up (scaled to memory size)
• Result: charged per item written to the default dataset
• No charge for retries, internal proxy rotation, or failed sub-requests — those are absorbed by the platform

If you only need the data once a quarter, you only pay once a quarter. If you scale to millions of records, the unit cost stays the same.

Apify Platform Bonus

New to Apify? Sign up with the NexGenData referral link — you get free platform credits on signup (enough for several thousand free results) and you help fund the maintenance of this actor fleet.

Integration Surface

Every actor in the NexGenData catalog can be triggered from:

• Apify console — point-and-click run
• Apify API — REST + webhooks
• Apify Python / JS SDKs — programmatic batch
• Zapier, Make.com, n8n — official integrations
• MCP — many actors are exposed as MCP tools for Claude / ChatGPT / Cursor agents
• Schedules — built-in cron for daily / weekly / monthly runs
• Webhooks — POST results to any HTTPS endpoint on dataset write

Support

NexGenData maintains 260+ Apify actors and ships updates regularly. Bug reports via the Apify console issues tab get a response within 24 hours. Roadmap requests are welcome — high-demand features ship in the next version.

🏠 Home: thenextgennexus.com 📦 Full catalog: apify.com/nexgendata