Extract comprehensive web content, including images, using deep scraping techniques with customizable parameters such as scroll depth, image size, and pagination. Output data to a specified directory for thorough analysis.
Extract focused web content with optimized scraping, limited scrolls, and customizable image extraction for efficient data collection on Prysm MCP Server.
Extract structured data from web pages using AI with natural language prompts. Collect specific information, convert unstructured content into structured formats, and customize extraction depth for targeted data needs.
Extract and process web content from URLs for data collection, content analysis, and research tasks, supporting multiple formats and extraction depths.
Provides local web search and content fetching capabilities for AI assistants, enabling them to search DuckDuckGo and extract clean text from web pages. All requests originate from the user's machine to ensure direct network control and bypass external proxies.
Enables retrieval and cleaning of official documentation content for popular AI/Python libraries (uv, langchain, openai, llama-index) through web scraping and LLM-powered content extraction. Uses Serper API for search and Groq API to clean HTML into readable text with source attribution.