This n8n workflow automates the process of extracting data from Google Maps via Serper, preparing and storing the information efficiently. It begins with a webhook trigger that activates upon receiving a chat message, likely from a chatbot or user interface. The workflow then initiates data extraction from Google Maps using HTTP requests, followed by splitting and parsing the received data. Extracted information is stored in variables and potentially used for further processing or response generation.
Once the data is parsed, the workflow converts it into an XLSX file format, making it suitable for review or archival. Finally, the data is uploaded or updated in a Google Sheet, enabling easy access and management of locations, addresses, or other relevant details. This setup is ideal for automating location-based data collection, monitoring, or reporting scenarios, such as gathering business listings, reviews, or geographic information for analysis.
The workflow’s modular design allows easy customization for various data sources or output formats, making it valuable for businesses seeking to automate their location data management or integrate Google Maps information into their operational processes.
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