Automated EPA Air Quality Data Retrieval Workflow

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This n8n workflow is designed to automate the process of retrieving and analyzing air quality data from the U.S. EPA’s Enforcement and Compliance History Online (ECHO) database, focusing on the Clean Air Act Monitoring and Compliance Program (MCP). The workflow triggers when new data becomes available via a webhook, then systematically fetches various datasets including air quality information, facility details, geojson maps, and cluster data. It employs multiple HTTP request nodes to interact with EPA API endpoints, streamlining complex data collection for environmental monitoring, regulatory compliance, or public health analysis. Users can adapt this workflow to monitor specific facilities or geographic regions, providing timely insights into air quality conditions. This automation is valuable for environmental agencies, researchers, or compliance officers seeking to maintain real-time awareness of air pollution status and facility compliance across the U.S.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.mcpTrigger, httpRequestTool, stickyNote

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