What problem does it solve?
AI agents and LLM pipelines often struggle to access real-time, structured web data due to bot detection, CAPTCHAs, and the need to manually parse raw HTML. This skill eliminates those barriers by providing pre-built, authenticated tools to retrieve clean, LLM-ready web content from multiple sources.
Core Features & Use Cases
- Multi-source web data retrieval: Access Google search results, scrape any public webpage, parse Amazon product pages and search results, extract YouTube video transcripts, and fetch Reddit post or subreddit content.
- LLM-optimized output: All data is returned in structured JSON or clean Markdown, eliminating manual parsing and reducing token usage for AI workflows.
- Real-world use case: A market researcher can use this skill to pull Amazon product pricing and reviews for competing devices, summarize relevant Reddit community discussions, and gather the latest Google search trends for a product category, all in formats ready for immediate analysis.
Quick Start
Use the decodo-scraper skill to fetch the latest structured Google search results for 'best wireless earbuds 2025' and return them as easy-to-process JSON.