Summary
TitanCDN extracts structured JSON from public web pages through an AI-powered API and management dashboard.
About
TitanCDN provides an API-based workflow for extracting structured data from public web pages, with operational controls and monitoring for teams integrating web data into applications.
TitanCDN is a web scraping and data extraction platform that converts public web pages into structured JSON through an API. It combines AI-based extraction with API key management, usage limits, real-time analytics, and request logs in a single dashboard. The service is intended for developers, startups, and businesses that need to collect and use web data in their products or workflows.
Key Features
AI-powered extraction of data from public web pages
Structured JSON output delivered through an API
API key management
Usage limits and real-time analytics
Request logs accessible through a dashboard
Real-World Use Cases
Product and market research
Collect structured information from public web pages to support research workflows and analysis.
Application data integration
Use the API to incorporate extracted web-page data into software products and internal systems.
Operational web data collection
Manage extraction requests, monitor usage, and review request logs through a centralized dashboard.
Business Opportunities
Web data integration for software products
Problem: Applications may need information from public web pages, while manual collection and data cleanup can require ongoing effort.
Solution: Integrate TitanCDN's API to extract page data as structured JSON for use in product workflows.
Estimated ROI: Potential time savings from reducing manual collection and cleanup; actual returns depend on extraction quality, usage volume, and integration costs.
Execution: Identify a workflow that depends on public web data, test extraction on representative pages, and integrate the API output into the relevant application or data pipeline.
Structured data collection for research
Problem: Research teams may need to gather comparable information from multiple public web pages and organize it for analysis.
Solution: Use AI extraction and JSON output to support a repeatable collection workflow, with usage analytics and request logs for operational visibility.
Estimated ROI: Potentially lower research preparation effort, subject to data quality and the amount of manual work replaced.
Execution: Define the fields needed for research, evaluate extraction results on a sample of pages, and establish review procedures before using the data in decisions.