Who is this workflow for? This workflow automates the extraction and storage of data from multiple website pages, streamlining the process of gathering structured information across various countries. Leveraging n8n, it efficiently navigates through country-specific pages, handles pagination, and ensures data integrity by storing results in MongoDB..

What does this workflow do?

  • Start with Country List: The workflow begins by accessing the country list at The Swift Codes.
  • Load Country Pages: It iterates through each country-specific page, such as Albania.
  • Handle Pagination: For each country page, the workflow navigates through all available paginated pages to ensure comprehensive data extraction.
  • Extract Data: Data is systematically extracted from each page, capturing relevant information as defined by the scraping parameters.
  • Cache Management: Before making a web request, the workflow checks for a cached version of the page on the local disk to reduce unnecessary requests and speed up the process.
  • Store Data in MongoDB: Extracted data is saved to a MongoDB database. The workflow ensures that duplicates are avoided by verifying the existence of the swift_code, which serves as the primary key.
  • Proxy Usage: To prevent IP blocking, all web requests are routed through proxies, with Scrapoxy recommended for proxy and IP rotation.
  • Cron Scheduling: A Cron node can be integrated to run the workflow on a weekly basis, ensuring that the data remains up-to-date with any changes on the source website.
  • Pagination Across All Countries: The workflow iterates through all pages of every country, ensuring complete data coverage.

🤖 Why Use This Automation Workflow?

  • Efficiency: Automates the repetitive task of navigating and scraping data from numerous web pages.
  • Data Integrity: Prevents duplicate entries by checking primary values before insertion.
  • Scalability: Capable of handling multiple countries and extensive pagination with ease.
  • Reliability: Implements caching and proxy usage to minimize unnecessary requests and avoid IP blocks.

👨‍💻 Who is This Workflow For?

This workflow is ideal for data analysts, researchers, and developers who need to collect and manage large sets of data from structured websites. It is particularly beneficial for those who require regular updates from web sources without manual intervention.

🎯 Use Cases

  1. Financial Data Collection: Extracting SWIFT codes from various countries for financial institutions.
  2. Market Research: Gathering product listings or company information across different regions.
  3. Academic Research: Compiling structured data from governmental or international organization websites for analysis.

TL;DR

This n8n workflow provides a robust solution for efficiently scraping and storing data from multiple website pages. By automating the navigation, extraction, and storage processes, it saves time and ensures data accuracy. With built-in caching, proxy support, and duplication checks, it offers a reliable framework for handling extensive data scraping tasks.

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