Table View Extraction in Pline enables accurate collection of structured data from pages that present information in a row-and-column format, such as price lists, comparison tables, financial data, schedules, or directories.
Users can select the fields they want to capture, and Pline extracts this information consistently across all rows in the table. This method is ideal for gathering organized, tabular datasets quickly and with high precision.
Follow these simple steps to extract data from a Table View using Pline.
In this guide, we’ll demonstrate how to extract data specifically from Yahoo Finance.
Step 1: Create a Workflow
Open the Pline extension and click “Build Workflow.”
Step 2: Select Page Type
Choose Table View if the page presents data in a tabular format.
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 that’s not the group you want to extract, you can try selecting the next group.
You can easily add, edit, or remove fields based on your requirements.
If any required data is missing, you can manually add new fields by selecting the required elements directly on the page.
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 run it, or hover over the dropdown menu to save it for future use.
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.
