This workflow automates the process of scraping SWIFT code data from a designated website, parsing the HTML content to extract relevant banking information, and storing the data in a MongoDB collection. It begins with a manual trigger, fetches webpage content, dynamically navigates through multiple pages and countries, and queues the data for insertion. The workflow is ideal for maintaining an up-to-date repository of international banking codes, useful for financial institutions or related services.
Web Scraping and Data Storage for Swift Codes
| Node Count | >20 Nodes |
|---|---|
| Nodes Used | executeCommand, function, functionItem, htmlExtract, httpRequest, if, manualTrigger, mongoDb, readBinaryFile, set, splitInBatches, uproc, writeBinaryFile |
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