⚡️ Linkedin Jobs Scraper 🔥

⚡️ Linkedin Jobs Scraper 🔥

by oza-dev

Extract LinkedIn job listings at scale with reliable automation. Perfect for recruiters, HR analysts, and job boards needing structured, searchable job data.

231 runs
17 users
Try This Actor

Opens on Apify.com

About ⚡️ Linkedin Jobs Scraper 🔥

Need to pull job listings from LinkedIn without hitting rate limits or getting blocked? I've been there. This LinkedIn Jobs Scraper on Apify is what I use. It's built to handle LinkedIn's search logic and filters, letting you target exactly the roles you need—by title, location, experience level, you name it. It runs reliably in the cloud, so you don't have to worry about your own IP getting flagged. I recommend it for recruiters building talent pipelines, HR teams analyzing market salaries, or anyone running a job board. It fetches clean, structured data like job titles, companies, locations, and descriptions. The best part? It just works. You set your search parameters, run the actor, and get your data delivered in a format ready for a spreadsheet or database. It saves countless hours of manual searching and copying. For gathering job postings at scale with a consistent success rate, this has become a go-to tool in my workflow.

What does this actor do?

⚡️ Linkedin Jobs Scraper 🔥 is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

  • Cloud-based execution - no local setup required
  • Scalable infrastructure for large-scale operations
  • API access for integration with your applications
  • Built-in proxy rotation and anti-blocking measures
  • Scheduled runs and webhooks for automation

How to Use

  1. Click "Try This Actor" to open it on Apify
  2. Create a free Apify account if you don't have one
  3. Configure the input parameters as needed
  4. Run the actor and download your results

Documentation

LinkedIn Jobs Scraper

An Apify actor for scraping job listings from LinkedIn. It extracts structured data from search results, including optional full job descriptions, and is built for reliable, high-volume data collection.

Key Features

  • Extracts 14+ data fields per job, including title, company, location, salary, applicant count, and contract type.
  • Handles pagination automatically to retrieve all available results up to your configured limit.
  • Includes configurable rate limiting (maxRequests) to help avoid blocks.
  • Supports residential proxies via Apify for more robust scraping.
  • Allows filtering by work type (On-site/Hybrid/Remote), contract type, experience level, and posting date.
  • Option to scrape the full job description text for each listing.

How to Use

Configure the actor using an input JSON object. The most common parameters are title, location, and rows (max results). Use the filters to narrow your search.

Basic Example

{
  "title": "Software Engineer",
  "location": "Berlin",
  "rows": 250
}

Advanced Example with Filters

This search finds remote, full-time Mid-Senior Data Scientist jobs posted in the last week and extracts descriptions.

{
  "title": "Data Scientist",
  "location": "Remote",
  "rows": 500,
  "maxRequests": 20,
  "workType": "3",
  "contractType": "F",
  "experienceLevel": "3",
  "extractDescriptions": true,
  "publishedAt": "r604800"
}

Input Parameters

Parameter Type Description Default
title string Job title keywords. ""
location string Geographic location. "United States"
rows integer Maximum number of job results to return (1-10,000). 50
maxRequests integer Limit for concurrent HTTP requests (1-100). 10
extractDescriptions boolean If true, scrapes the full job description text. false
workType string Work arrangement: "1" (On-site), "2" (Hybrid), "3" (Remote). ""
contractType string Employment type: "F" (Full-time), "P" (Part-time), "C" (Contract). ""
experienceLevel string Experience: "1" (Entry), "2" (Associate), "3" (Mid-Senior). ""
publishedAt string Timeframe: "r86400" (24h), "r604800" (Week), "r2592000" (Month). ""

Output

The actor outputs a dataset of items, where each item represents one job listing. The extracted fields include:

  • title
  • company_name
  • company_url
  • location
  • job_url
  • posted_time
  • published_at
  • salary
  • applicant_count
  • contract_type
  • work_type
  • experience_level
  • sector
  • description (if extractDescriptions is enabled)

Data is available in JSON, CSV, Excel, XML, and RSS formats via the Apify platform.

Categories

JOBS

Common Use Cases

Market Research

Gather competitive intelligence and market data

Lead Generation

Extract contact information for sales outreach

Price Monitoring

Track competitor pricing and product changes

Content Aggregation

Collect and organize content from multiple sources

Ready to Get Started?

Try ⚡️ Linkedin Jobs Scraper 🔥 now on Apify. Free tier available with no credit card required.

Start Free Trial

Actor Information

Developer
oza-dev
Pricing
Paid
Total Runs
231
Active Users
17

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