☐ Prompt / Description (Required)
A clear and concise instruction that describes what this step should do. This is essential for AI to debug and re-find the element if the webpage structure changes.
Good Example: "Extract the product name from the item detail page."
Bad Example: "Try to find and get some text that looks like a product name, but make sure it's not too long and is relevant."Why it’s bad? Too vague, overly verbose, and doesn’t specify what text to extract.
☐ Element Selector (Required)
Define the element from which text should be extracted using one of the following methods:
CSS Selector
Use standard CSS selectors to identify the element.
XPath
Use an XPath expression to precisely locate the element.
Output Options
☐ Assign to variable (Optional)
Store the extracted text in a variable for later use in the workflow.
☐ Insert to table (Optional)
Save the extracted text into a structured table for further processing.
Usage Example
Scenario: Extracting a product name from an e-commerce page
✅ Good Prompt:
“Extract the product name from the item detail page.”✅ Good Element Selectors:
CSS Selector: h1.product-title
XPath: //h1[@class='product-title']
✅ Output Options:
- Assign to variable →
product_name
- Insert to table → Column:
Product Name
Notes
- The Prompt / Description is required to help AI debug and adjust the selector if the webpage structure changes.
- Ensure the selector uniquely identifies the target element to avoid extracting unintended text.
- If the page content is dynamic, consider using a robust selector or referencing workflow data.
