# Jobs Scraping
Job market insights rely on accurate, up-to-date data, including job titles, company names, locations, salaries, and posting dates. With Pline, you can extract job listings from platforms like LinkedIn, Upwork, Indeed, Glassdoor, or Monster without writing code.
Pline automatically identifies job cards, groups similar data points, and produces clean datasets ideal for recruitment research, competitor tracking, talent mapping, job board aggregation, and hiring analytics.
This guide provides a step-by-step process to extract job listing data using Pline.
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In this guide, we’ll walk you through extracting data from **Upwork** step by step.
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### Step 1: Create a Workflow
Open the Pline extension and click **"Build Workflow.”**
### Step 2: Select Page Type
Webpages present data in various layouts, such as **Vertical, Grid, or Horizontal Layouts.**
* Choose the layout that matches the page structure (e.g., Vertical Layout).
### Step 3: AI-Driven Field Detection
Pline uses AI to automatically detect and group similar items on the page and **preselect relevant fields**. If the grouping looks correct, click **“Yes, Looks good.”**
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If not, select the next group. You can **add, edit, or remove fields** as needed before proceeding.
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### Step 4: Select Pagination Type
* Select the appropriate pagination type, then locate it on the page and tag it.
* Preview the sample data to ensure the correct items and fields are being extracted as expected.
### Step 5: Run the Workflow
Give your workflow a name and click **Save and Run.**
### **Step 6: Access and Export Your Data**
* Stop the extraction once you’re done.
* Download your dataset in **CSV** or explore further in Pline's Platform.
