- Getting Started
- Setup and Configuration
- Automation Projects
- Dependencies
- Types of Workflows
- Control Flow
- File Comparison
- Automation Best Practices
- Source Control Integration
- Debugging
- Logging
- The Diagnostic Tool
- Workflow Analyzer
- About Workflow Analyzer
- ST-NMG-001 - Variables Naming Convention
- ST-NMG-002 - Arguments Naming Convention
- ST-NMG-004 - Display Name Duplication
- ST-NMG-005 - Variable Overrides Variable
- ST-NMG-006 - Variable Overrides Argument
- ST-NMG-008 - Variable Length Exceeded
- ST-NMG-009 - Prefix Datatable Variables
- ST-NMG-011 - Prefix Datatable Arguments
- ST-NMG-012 - Argument Default Values
- ST-NMG-016 - Argument Length Exceeded
- ST-NMG-017 - Class name matches default namespace
- ST-DBP-002 - High Arguments Count
- ST-DBP-003 - Empty Catch Block
- ST-DBP-007 - Multiple Flowchart Layers
- ST-DPB-010 - Multiple instances of [Workflow] or [Test Case]
- ST-DBP-020 - Undefined Output Properties
- ST-DBP-021 - Hardcoded Timeout
- ST-DBP-023 - Empty Workflow
- ST-DBP-024 - Persistence Activity Check
- ST-DBP-025 - Variables Serialization Prerequisite
- ST-DBP-026 - Delay Activity Usage
- ST-DBP-027 - Persistence Best Practice
- ST-DBP-028 - Arguments Serialization Prerequisite
- ST-USG-005 - Hardcoded Activity Arguments
- ST-USG-009 - Unused Variables
- ST-USG-010 - Unused Dependencies
- ST-USG-014 - Package Restrictions
- ST-USG-017 - Invalid parameter modifier
- ST-USG-020 - Minimum Log Messages
- ST-USG-024 - Unused Saved for Later
- ST-USG-025 - Saved Value Misuse
- ST-USG-026 - Activity Restrictions
- ST-USG-027 - Required Packages
- ST-USG-028 - Restrict Invoke File Templates
- ST-USG-032 - Required Tags
- ST-USG-034 - Automation Hub URL
- Variables
- Arguments
- Imported Namespaces
- Coded automations
- Introduction
- Registering custom services
- Before and After contexts
- Generating code
- Generating coded test case from manual test cases
- Trigger-based Attended Automation
- Recording
- UI Elements
- Selectors
- Object Repository
- Data Scraping
- About Data Scraping
- Example of Using Data Scraping
- Image and Text Automation
- Citrix Technologies Automation
- RDP Automation
- VMware Horizon Automation
- Salesforce Automation
- SAP Automation
- macOS UI Automation
- The ScreenScrapeJavaSupport Tool
- The WebDriver Protocol
- Extensions
- About extensions
- SetupExtensions tool
- UiPathRemoteRuntime.exe is not running in the remote session
- UiPath Remote Runtime blocks Citrix session from being closed
- UiPath Remote Runtime causes memory leak
- UiPath.UIAutomation.Activities package and UiPath Remote Runtime versions mismatch
- The required UiPath extension is not installed on the remote machine
- Screen resolution settings
- Group Policies
- Cannot communicate with the browser
- Chrome extension is removed automatically
- The extension may have been corrupted
- Check if the extension for Chrome is installed and enabled
- Check if ChromeNativeMessaging.exe is running
- Check if ComSpec variable is defined correctly
- Enable access to file URLs and Incognito mode
- Multiple browser profiles
- Group Policy conflict
- Known issues specific to MV3 extensions
- List of extensions for Chrome
- Chrome Extension on Mac
- Group Policies
- Cannot communicate with the browser
- Edge extension is removed automatically
- The extension may have been corrupted
- Check if the Extension for Microsoft Edge is installed and enabled
- Check if ChromeNativeMessaging.exe is running
- Check if ComSpec variable is defined correctly
- Enable access to file URLs and InPrivate mode
- Multiple browser profiles
- Group Policy conflict
- Known issues specific to MV3 extensions
- List of extensions for Edge
- Extension for Safari
- Extension for VMware Horizon
- Extension for Amazon WorkSpaces
- SAP Solution Manager plugin
- Excel Add-in
- Test Suite - Studio
- Troubleshooting
Studio User Guide
About Data Scraping
Data scraping enables you to extract structured data from your browser, application or document to a database, .csv file or even Excel spreadsheet.
Structured data is a specific kind of information that is highly organized and is presented in a predictable pattern. For example, all Google search results have the same structure: a link at the top, a string of the URL and a description of the web page. This structure enables Studio to easily extract the information, as it always knows where to find it.
The scraping wizard can be opened from the Design tab, by clicking the Data Scraping button.
The main steps of the data scraping wizard are:
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Select the first and last fields in the web page, document or application that you want to extract data from, so that Studio can deduce the pattern of the information.
Note: Studio automatically detects if you indicated a table cell, and asks you if you want to extract the entire table. If you click Yes, the Extract Wizard displays a preview of the selected table data. -
Customize column headers and choose whether or not to extract URLs.
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Preview the data, edit the number of maximum results to be extracted and change the order of the columns.
- Optionally click Extract Correlated Data. This enables you to go through the Extract Wizard again, to extract additional info and add it as a new column in the same table.
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Indicate the Next button in the web page, application or document (if the information you want to extract spans multiple pages).
After you are finished with the wizard, a sequence is generated in Studio.
Data scraping always generates a container (Attach Browser or Attach Window) with a selector for the top-level window and an Extract Structured Data activity with a partial selector, thus ensuring a correct identification of the app to be scraped.
Additionally, the Extract Structured Data activity also comes with an automatically generated XML string (in the ExtractMetadata property) that indicates the data to be extracted.
Lastly, all the scraped information is stored in a DataTable variable, that you can later use to populate a database, a .csv file or an Excel spreadsheet.