Swipenodev0.1.0

Extract structured product data like prices, descriptions, and availability from Next.js or Nuxt.js e-commerce sites without headless browser overhead. Ideal for real-time competitor analysis and dynamic pricing strategies, bypassing Cloudflare protection common on retail platforms.

Scrape clean text and metadata from news portals built with modern frameworks like Gatsby or Remix, stripping out ads and tracking for efficient LLM processing. Enables automated content curation and trend analysis with minimal token usage.

Collect structured JSON data from websites for API-less market insights, such as product listings or user reviews, using batch processing for multiple URLs. Reduces data extraction costs by avoiding heavy browser-based tools.

Extract JSON-LD schema and visible text from websites to analyze SEO performance and content structure without rendering JavaScript. Helps in auditing site metadata and optimizing for search engines efficiently.

Scrape research data or publications from academic sites built with modern frameworks, using the fallback text extraction for clean output. Supports large-scale data collection for studies without complex setup.

Offer a cloud-based API service using Swipenode to provide structured web data extraction for clients, charging based on usage volume or subscriptions. Targets businesses needing automated data feeds without infrastructure management.

Provide consulting services to integrate Swipenode into existing AI agent workflows or custom applications, helping clients optimize web scraping processes and reduce token costs. Includes setup, training, and support packages.

Use Swipenode to scrape and aggregate data from multiple sources, such as e-commerce or news sites, then sell cleaned datasets or insights to third parties. Leverages batch processing for scalability and efficiency.