LinkedIn Jobs Scraper – Incredibly Fast ⚡️ avatar
LinkedIn Jobs Scraper – Incredibly Fast ⚡️

Pricing

$19.00/month + usage

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LinkedIn Jobs Scraper – Incredibly Fast ⚡️

LinkedIn Jobs Scraper – Incredibly Fast ⚡️

Developed by

Data Wizard

Data Wizard

Maintained by Community

Designed for both personal and professional use, our ⚡️ Blazing fast LinkedIn job scraper scrapes 1,000 listings in under 2 minutes. Built-in residential & datacenter proxy rotation. No setup. Export to CSV, JSON, and more.

5.0 (1)

Pricing

$19.00/month + usage

0

Total users

4

Monthly users

4

Last modified

2 days ago

Fastest LinkedIn Job Scraper (No Proxy Setup Needed)

Extract 1,000 LinkedIn Jobs – Under 2 Minutes!

Frustrated with sluggish LinkedIn scrapers, complicated proxy setups, or high platform fees?

Discover the lightning-fast LinkedIn Job Scraper on Apify — featuring intelligent proxy rotation from a blend of residential and data center proxies, exceptional speed, and zero-configuration simplicity.

Whether you're a job hunter, recruiter, or market analyst, this tool empowers you to fetch targeted LinkedIn job listings instantly, exported to your preferred format — all without managing proxies yourself.


⚡ Why This Scraper Stands Out

  • 1,000 Jobs in Under 2 Minutes – Outperforms every other LinkedIn actor on Apify.
  • 70% Lower Platform Usage – Significantly reduces operational costs.
  • Built-In Proxy Rotation – Seamless proxy management with no additional setup or fees.
  • Versatile Output Formats – Export data as JSON, CSV, Excel, XML, HTML, and more.
  • Precise, Real-Time Results – Includes job title, company, location, posting date, skills, and full descriptions.
  • Advanced Filtering – Fine-tune by job titles, locations, seniority levels, and beyond.

🛠 How to Use

  1. Enter Desired Job Title & Location
  2. Apply Relevant Filters
  3. Select Number of Jobs (Up to 1,000)
  4. Choose whether you'd like to use Apify's default proxy pool, your own proxy configuration, or let the scraper automatically default to our high-quality residential and datacenter proxies for optimal performance.
  5. Run the Actor You're done — no proxies, no delay.

Example Input Screenshot alt text

Note: LinkedIn currently supports scraping up to 1,000 jobs.


📤 Output Example

Structured job data fields include:

  • Job title
  • Company name
  • Location
  • Date posted
  • Job description
  • Seniority level
  • Employment type
  • Industries
  • And more...

Sample Output Screenshot alt text


How much does it cost to use Linkedin Jobs Scraper?

Our LinkedIn Jobs Scraper is priced to save you money from day one:

  • Monthly subscription: $19 — lower than most comparable Apify actors.
  • Runtime savings: Optimized to consume fewer compute units, delivering blazing‑fast results with an average cost of just ~$0.06 per 1,000 jobs.
  • Year‑round value: At scale, you can save hundreds of dollars annually versus other LinkedIn scrapers thanks to our lean resource usage and all‑inclusive proxy rotation.

📊 Cost & Speed Comparison

ActorMonthly CostCost per 1,000 JobsTime to Scrape 1,000 Jobs
Our Actor$19$0.06< 2 min
bebity/linkedin-jobs-scraper$29.99$0.18> 3 min
curious_coder/linkedin-jobs-scraper$1/1000 results$1> 8 min

Your feedback

We’re always working on improving our Actors' performance. If you have any technical feedback for Linkedin Jobs Scraper or simply found a bug, please create an issue on the Actor’s Issues tab in Apify Console.


Our Linkedin jobs scraper is ethical and do not extract any private user data, such as email addresses, gender, or location. They can only extract what the user has chosen to share publicly. However, you should be aware that your results might contain personal data.

Personal data is protected by GDPR in the European Union and other laws and regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you’re unsure whether your reason is legitimate, consult your lawyers. You can also read the blog post on the legality of web scraping and ethical scraping.