LinkedIn Job Scraper

Copy-paste is the real unemployment

You don’t need “more hustle”. You need data you can sort, filter, and act on before the role gets 300 applicants.

LinkedIn Job Scraper does one thing well: it turns LinkedIn job searches into a file you can work with. No more tabs. No more messy notes. Just a dump of postings you can slice in Excel.

What it grabs (the stuff you actually care about)

Most job boards give you a headline and vibes. This pulls the details that change decisions:

• Job title, company, location, experience level
• Salary info (when available)
• Requirements and descriptions you can mine for keywords
• A clean export to CSV/Excel so your team can share and compare

Why does this matter? Because the moment you can group jobs by company, title, comp band, or required stack, you stop guessing.

Built for recruiters and operators, not hobby scraping

Recruiters can build targeted shortlists: “all roles in Austin for X keyword” and ship it to the hiring manager in minutes.

Agencies can track who’s hiring, where the demand sits, and what skills keep showing up across postings.

Job seekers can spot patterns: which titles pay, which stacks repeat, and which companies hire for the same role every month.

Automation beats checking LinkedIn all day

The site pushes beyond one-off exports. Set up automated scraping and get updates when new roles match your filters.

It gets worse: without automation, you keep re-running the same searches and missing the fresh postings that matter.

Pricing and checkout that won’t spook Finance

linkedinjobsscraper.com runs paid plans (with a starter promo shown at $9/mo) and takes payment through Stripe. You can cancel anytime.

If your workflow depends on job-market intel, this tool turns LinkedIn into a dataset instead of a time sink.

But there’s a catch: the advantage goes to whoever moves first. Get the data. Make the call. Ship.