Ingest website content for RAG pipelines
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.
How it works
Read-onlyResearch and knowledge
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.
Prompt
Paste this into an agent that has the servers below connected. Adjust the names and dates to your own.
Prompt for Ingest website content for RAG pipelines
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.MCP servers it needs
Source
The vendor page this playbook is drawn from, and the passage that supports it.
Load vector databases Crawl documentation, knowledge bases, and any other web source and return clean content ready to embed and query.Fast, reliable data for your AI and machine learning · Apify