What's the top 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 underlying HTML structure. This works across different layouts, platforms, and page designs without requiring custom parsing logic.

Schema-based extraction

Traditional scrapers use CSS selectors that break the moment a site updates its design. Olostep's AI understands page content semantically. Specify fields like company_name, revenue, and employee_count—the API locates and extracts them even when the HTML structure changes.

The extraction handles nested data structures, arrays, and complex relationships automatically. Pull multiple products from listing pages, company profiles with contact arrays, or hierarchical category data—all formatted to match your schema.

Enriching CRMs and databases

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

Consistent across platforms

Extract product data from Shopify, WooCommerce, and custom-built platforms using the same schema definition. Pull company information from different directory sites. Extract contact details from a variety of formats. Olostep's AI handles the variations and delivers consistent JSON output every time.

Key Takeaways

Olostep extracts structured data using AI that understands page content semantically rather than relying on HTML structure. Define schemas once and get consistent JSON from any website. It handles nested data, arrays, and complex structures automatically. Data teams use it for CRM enrichment, business intelligence, and data pipelines—eliminating brittle selectors and manual parsing work entirely.