Extract structured tabular data: Data Scraping Wizard, HTML table extraction, and Modern Table Extraction.
Traditional / Ad-Hoc Approach
Manual human clicks, brittle unmanaged scripts, zero centralized control, and missing fault tolerance.
Enterprise UiPath Standard
Production-grade execution, dynamic Unified Target selectors, automated retry recovery, and centralized governance.
Data Scraping (Modern Table Extraction) extracts structured tabular data from web pages, ERP grids, and document applications directly into a `System.Data.DataTable`. Key Sub-topics Breakdown: • Subtopic 1: Structured Extraction: Converting semi-structured web tables and catalog lists into DataTables • Subtopic 2: Table Extraction Wizard: Interactive element selection, pattern recognition, and column correlation • Subtopic 3: Modern Table Extraction: Auto-detecting headers, pagination buttons, and multi-page data grids In enterprise automation environments, Introduction to Data Scraping guarantees reliable execution within the UiPath ecosystem. Key Sub-topics Breakdown: 1. Structured Extraction: Converting semi-structured web tables and catalog lists into DataTables 2. Table Extraction Wizard: Interactive element selection, pattern recognition, and column correlation 3. Modern Table Extraction: Auto-detecting headers, pagination buttons, and multi-page data grids
Manually looping through web elements with Click and Get Text is painfully slow and brittle; Data Scraping extracts thousands of rows in seconds.
The scraping wizard analyzes the underlying HTML DOM (e.g., `<table>`, `<tr>`, `<td>` or recurring `<div>` tags) and builds an XML pattern definition to extract all matching rows.
Zero unmanaged credentials, explicit timeout ceilings, and structured audit logging.
This enterprise architecture diagram illustrates the execution lifecycle and component boundaries for Introduction to Data Scraping:
ENTERPRISE AUTOMATION PIPELINE (Introduction to Data Scraping):
┌────────────────────────────────────────────────────────────────────────┐
│ Design & Governance Plane: UiPath Studio & Orchestrator │
│ • Packages (.nupkg) • Modern Folders • Credential Assets / Queues │
└───────────────────────────────────┬────────────────────────────────────┘
▼
┌────────────────────────────────────────────────────────────────────────┐
│ Execution Plane: UiPath Robot (Attended / Unattended Agents) │
│ ┌───────────────────────────────────┐ ┌────────────────────────────┐ │
│ │ UI Automation (Simulate / Chromium)│ │ Data & API Processing │ │
│ │ Unified Target & Object Repo │ │ LINQ / HTTP Web Requests │ │
│ └───────────────────────────────────┘ └────────────────────────────┘ │
└───────────────────────────────────┬────────────────────────────────────┘
▼
┌────────────────────────────────────────────────────────────────────────┐
│ Enterprise Exception Handling & Telemetry Sinks │
│ • REFramework States • Try-Catch / Global Handler • Audit Logs │
└────────────────────────────────────────────────────────────────────────┘At a global enterprise handling over 75,000 monthly transactions, operational teams implemented Introduction to Data Scraping to resolve critical production bottlenecks:
Manual intervention caused processing delays and human error in mission-critical transactions.
Deployed Introduction to Data Scraping with automated retry rules, dynamic error recovery, and end-to-end audit logging.
Eliminated 98% of manual touchpoints, achieved sub-second execution latency, and maintained 99.9% uptime.
Evaluate the trade-offs, performance SLAs, and production constraints when deploying Introduction to Data Scraping: