This n8n workflow is designed to automate the extraction of SWIFT codes and related banking information from a website listing by country. When triggered manually, it initiates a series of steps to gather, process, and store banking data efficiently. The workflow first fetches a list of countries from a web page, then iteratively visits each country page to scrape detailed data such as bank name, city, branch, and SWIFT code. It handles pagination for multi-page listings and saves the collected data into a MongoDB database for easy access and management. This automation is ideal for financial institutions, data aggregators, or developers looking to populate or update a banking database with accurate SWIFT information regularly.
Automated Web Scraping for Swift Codes Data
Node Count | >20 Nodes |
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Nodes Used | executeCommand, function, functionItem, htmlExtract, httpRequest, if, manualTrigger, mongoDb, readBinaryFile, set, splitInBatches, uproc, writeBinaryFile |
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