Structured LinkedIn Job Postings for Market Analysis and Recruitment
Optional: You need to open an incognito window and search for the job you want to scrape. Then copy the URL and paste it here. Note that we will use the keywords after scraping the start URLs
Enter job keywords, titles, or skills to search for (e.g., 'software engineer', 'data scientist', 'marketing manager')
Enter the location where you want to find jobs (e.g., 'San Francisco, CA', 'New York, NY', 'Remote')
Select the job types you're interested in
Select the experience levels you're interested in
Filter jobs by when they were posted
Limit the number of jobs to scrape
Enable persistent job tracking to skip already scraped jobs across multiple runs. Uses a named key-value store to remember job IDs, ensuring you never scrape the same job twice. Perfect for recurring automation workflows and maintaining clean datasets. Data persists in Lagic Console > Key-value stores.
Results to deliver
100 creditsThis agent actively searches live listings โ results may vary. You are only charged for what is delivered, up to this number.
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Pricing
This tool extracts detailed job postings from LinkedIn, including job titles, company names, locations, and posting dates. It provides structured data for market research, competitive analysis, and talent sourcing.
### Understand the Job Market with LinkedIn Data This tool delivers structured data from LinkedIn job postings, allowing you to gain insights into hiring trends, compensation benchmarks, and skill demands. Whether you're a recruiter, job seeker, or market analyst, this data provides a clear picture of the employment landscape. ### What Data You Get For each job posting, you'll receive key details such as the job title, the company offering the position, its LinkedIn profile URL, and the job's geographic location. You'll also see when the job was posted, any listed benefits, and unique identifiers for tracking. This rich dataset helps you move beyond manual browsing to a data-driven approach for understanding the job market. ### Tailor Your Job Search Focus your data collection using a variety of filters. Specify job keywords or titles like 'software engineer' or 'marketing manager'. Pinpoint locations from 'San Francisco, CA' to 'Remote' positions. You can also select specific job types (e.g., full-time, contract) and experience levels (e.g., entry-level, director). To keep your data fresh, filter jobs by when they were posted: 'past 24 hours', 'past week', or 'past month'. ### Manage Your Data Collection Set a 'Maximum Jobs to Scrape' to control the volume of data collected, ensuring you only retrieve what's necessary. For ongoing projects, the 'Avoid Duplicates' feature is particularly useful. When enabled, the tool remembers previously scraped job IDs across multiple runs, preventing redundant data and keeping your datasets clean and focused on new opportunities.
First, open an incognito browser, search for the jobs you want on LinkedIn, and paste the resulting URL into the 'Start URLs' field.
Next, enter specific 'Job Keywords' or titles you are interested in, such as 'software engineer' or 'marketing manager'.
Specify the 'Job Location' you are targeting, for example, 'San Francisco, CA' or 'Remote'.
Select the 'Job Type' and 'Experience Level' filters that match your criteria.
Choose a 'Date Posted' filter to retrieve jobs listed within the 'past 24 hours', 'past week', or 'past month'.
Optionally, set a 'Maximum Jobs to Scrape' to control the total number of job postings collected.
Run the tool, and it will deliver a structured dataset of LinkedIn job postings based on your specified inputs.