This intricate n8n workflow automates the process of scraping international bank swift codes from a designated website for multiple countries. It starts with a manual trigger, then fetches country links from a webpage, and iteratively navigates through each country’s page, extracting relevant bank branch details. The workflow manages pagination for comprehensive data collection, processes the data into structured documents, and finally stores it into a MongoDB database. This automation is valuable for financial institutions, developers, or researchers needing up-to-date swift code data cross-nationally with minimal manual effort.
Automated Bank Swift Code Scraper for Multiple Countries
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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