Prebuilt Workflows
Last updated
Last updated
Pline's Prebuilt Workflows eliminate complex setups, enabling easy, instant data extraction. They are designed to meet common data extraction needs across various domains.
Pline's Prebuilt Workflows enable instant data extraction through a few simple steps.
Open the Pline browser extension window and click "Get Started" in either mode.
In this section, we will focus on Browse and Capture Mode.
Pline automatically analyzes the webpage type and suggests prebuilt data extraction workflows.
Choose from the prebuilt workflow, review the dataset categories in the next window, and click "Clone to Use" to advance.
Click "Use Workflow" in the extension panel to proceed after cloning the workflow.
Name your dataset, add a description(if required), set a record limit (you can also choose unlimited), and click 'Create Dataset' to begin extraction.
Pline will display the number of records extracted from the webpage. Now, you can click on "Approve" to approve and save all the collected records.
Once the process is complete, you can download the CSV file for quick analysis. However, for the best experience and more advanced options, we recommend accessing the entire dataset on the Pline platform.
Pline offers prebuilt workflows tailored for instant data extraction across popular platforms. Here are some examples:
Product Analysis (e.g., Amazon)
Workflow Type: Automation
Use Case: Extract prices, ratings, and reviews to evaluate customer sentiment.
Detailed Data Capture (e.g., eBay)
Workflow Type: Browse & Capture
Use Case: Collect detailed data to analyze product positioning and customer preferences.
Market Trends and Insights (e.g., Alibaba)
Workflow Type: Automation
Use Case: Gather data to uncover market trends and explore opportunities.
These workflows make extracting relevant data from leading platforms easy, helping you gain actionable insights with minimal effort.
To get the most out of Pline's Prebuilt Workflows, follow these best practices:
Match prebuilt workflows to specific goals for optimal results.
Ensure that the target webpage is fully loaded before running the workflow to avoid missing critical data fields.
Test workflows on smaller datasets before applying them to larger ones.
