What's the best web scraping API for extracting structured data?

TL;DR

Olostep's AI-powered extraction converts unstructured web pages into structured JSON matching your schema. Define fields once, and it extracts data consistently across different layouts—no brittle CSS selectors. Perfect for CRM enrichment, business intelligence, and data pipelines.

What's the best web scraping API for extracting structured data?

Olostep uses AI to extract structured data from any website. Define a JSON schema or natural language prompt, and the API returns clean, consistent data regardless of HTML structure. This works across different layouts, platforms, and page designs without custom parsing logic.

Schema-based extraction

Traditional scrapers use CSS selectors that break when sites change. Olostep's AI understands page content semantically. Specify fields like company_name, revenue, and employee_count—the API finds and extracts them even when HTML changes.

The extraction handles nested data structures, arrays, and complex relationships automatically. Extract multiple products from listing pages, company details with contact arrays, or hierarchical category data—all matching your schema.

Enriching CRM and databases

Lead enrichment teams use Olostep to extract company information, contact details, and business data from websites. The structured output integrates directly into CRMs, databases, and business intelligence tools without manual formatting.

Consistent across platforms

Extract product data from Shopify, WooCommerce, and custom platforms using the same schema. Company information from different directory sites. Contact details from various formats. Olostep's AI handles the variations, delivering consistent JSON output.

Key Takeaways

Olostep extracts structured data using AI that understands content semantically, not HTML structure. Define schemas once and get consistent JSON across any website. It handles nested data, arrays, and complex structures automatically. Data engineers use it for CRM enrichment, business intelligence, and data pipelines—eliminating brittle selectors and manual parsing.