Lightfeed

Lightfeed transforms the web into searchable, real-time data sources by letting users describe what they need in plain English. It uses vision-language models and AI agents to extract structured data from virtually any public website, automatically adapting to layout changes without manual scraper maintenance. The platform hosts extracted data in managed databases with deduplication, change tracking, and API access, making it suitable for building scalable web research and enrichment pipelines.

• Natural Language Prompting: Describe the data you need in plain English — Lightfeed automatically creates a schema and begins extraction without writing code.
• AI-Powered Extraction: Uses large language models and vision-language models to semantically understand page content, handling dynamic elements, pagination, and form inputs.
• Deep Research & Enrichment: Crawls entire websites including subpages and enriches results with external premium data sources and search engine results.
• Automatic Layout Adaptation: Unlike traditional scrapers, Lightfeed's LLM-based approach adapts to website structure changes automatically, keeping extractions reliable.
• Scheduled Pipelines: Configure daily, weekly, or custom-timed extractions that run automatically and deduplicate results into your database.
• Built-in Value Tracking: Monitor and record data changes in real-time with historical versioning and value comparison for fields like prices.
• Real-Time Databases: Extracted data is stored in managed databases with custom views, filtering, and deduplication built in.
• Embedding Search: Use embedding and hybrid search endpoints to feed RAG applications with fresh, structured web data.
• MCP Integration: Enrich LLM conversations with structured data context via Model Context Protocol (coming soon).
• Seamless Integrations: Connect via REST API, Node/Python SDKs, email alerts, Zapier (coming soon), and webhooks (coming soon).
• Supported Sources: Extracts from regular websites, LinkedIn profiles, e-commerce platforms, real estate listings, news sites, Google Search results, and forums.