Structured web data is extracted from specified URLs and made available for embedding into vector databases or LLM prompts, enabling accurate, up-to-date AI responses.
The agent identifies relevant websites or documentation sources that need to be ingested. It uses the Apify MCP server to select an appropriate Actor (such as Website Content Crawler) and executes it with the target URLs. The agent retrieves the structured output, ensuring the data is clean and ready for downstream processes like vector embedding or direct LLM context injection.
- Category: Research and knowledge
- Effect: Read-only
- MCP servers: Apify MCP (https://koskamo.com/explore/apify-mcp)
- Source: Fast, reliable data for your AI and machine learning · Apify (https://apify.com/use-cases/data-for-generative-ai)
- Source quote: "Load vector databases Crawl documentation, knowledge bases, and any other web source and return clean content ready to embed and query."
- Playbook page: https://koskamo.com/explore/use-cases/ingest-website-content-for-rag-pipelines
Prompt: Extract structured text data from the following URLs for use in a RAG pipeline: [URL1], [URL2]. Use the Apify MCP server to run a web scraping Actor that returns clean, readable content.