AI agents search NYTimes articles with date and section

This automation template turns the New York Times Article Search API into an accessible tool for AI agents via an MCP server built on n8n. Agents can send structured queries to search articles using keywords, date ranges, sections, and advanced filters. Results are returned in the original NYTimes API format, ensuring full compatibility with agent logic and downstream processing.

## Who it´s for
- AI agent developers integrating trusted news sources
- Researchers automating media data collection
- Analysts requiring historical NYTimes content for trend analysis
- Companies using AI to monitor brand or topic mentions

## What the automation does
- Maps incoming HTTP requests from AI agents to query parameters of the NYTimes articlesearch.json API
- Supports filtering by date (begin_date, end_date), sorting, pagination (page), and field selection (fl)
- Handles complex conditions via the fq parameter (e.g., section_name or news_desk)
- Returns responses in the original NYTimes API structure, including full metadata
- Integrates as an MCP tool compatible with LangChain-based AI agents

## What´s included
- Ready-to-use n8n workflow
- Trigger logic for HTTP webhooks and AI tool requests
- Integration with New York Times API and generic AI Agent systems
- Basic documentation for setup and adaptation

## Requirements for setup
- n8n account (cloud or self-hosted)
- API key from New York Times Article Search API
- Access to an AI agent system that supports MCP integration (e.g., LangChain application)

## Benefits and outcomes
- Accelerates integration of news data into AI agents without manual scraping
- Preserves full article metadata including authors, dates, URLs, and sections
- Enables automated monitoring of topics, brands, or events
- Supports scalable data collection with pagination and faceting

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.