Listing Page Extraction in Pline enables efficient collection of structured data from pages that contain multiple items, such as product lists, job listings, property results, or travel listings.
Users can then select the fields they want to extract (e.g., title, price, location), and Pline captures this information across all detected items. This method is ideal for extracting bulk data from search results or category pages quickly and accurately.
Follow these simple steps to quickly extract data from the Listing Page using Pline.
In this guide, we’ll demonstrate how to extract data specifically from Amazon product listing pages.
Step 1: Create a Workflow
Open the Pline extension and click "Create New 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., Grid 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.”
If not, select the next group. You can add, edit, or remove fields as needed before proceeding.
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.
