For enterprises needing comprehensive data extraction:

• Forage AI Fully managed IDP services processing millions of documents with over 99% accuracy, built for large-scale custom enterprise projects

• UiPath IXP Platform solution integrated with RPA ecosystem, 93% accuracy

• ABBYY Vantage Low-code/no-code platform with pre-built models with strong OCR capabilities

• Microsoft Azure AI Cloud-native API, trains models with samples, Azure ecosystem integration

• Hyperscience Up to 99% accuracy through a proprietary model architecture called Hypercell

• AWS IDP Developer APIs using Textract/Comprehend, require technical orchestration

• Google Document AI Cloud API with template-free GenAI extraction, minimal training needed

• Rossum Template-free approach using LLM for transactional documents

• Docsumo SMB-focused template-based solution with over 95% accuracy

• Docparser No-code tool with point-and-click setup, basic OCR for simple documents

Choosing an Intelligent Document Processing solution shapes your data collection strategy for years ahead.

Unlike APIs, which only provide the data that marketplaces choose to share, custom e-commerce scrapers dynamically collect product details directly from website pages. Modern AI-powered scrapers significantly improve upon outdated methods that often fail due to website updates, ensuring a continuous data flow without the need for constant manual intervention.

Modern AI-powered systems can:

• Parse unstructured website content in real time.

• Adapt automatically when website layouts or anti-bot defenses change.

• Normalize diverse product information into highly structured e-commerce datasets.

• Apply Natural Language Processing (NLP) to analyze reviews and customer sentiment.