Python script builds foreclosure watchlist using single API instead of multiple scrapers

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A developer behind the Foreclosure Finder API on RapidAPI has published a walkthrough showing how to build a ZIP-code-based foreclosure watchlist in Python using only the standard library. The tool queries listings within a 25-mile radius of a given ZIP code, filtering by property type, bedroom count, and price range, then exports up to 100 results to a CSV file. Foreclosure Finder aggregates data from five sources including Auction.com, HUD HomeStore, Fannie Mae HomePath, Freddie Mac HomeSteps, and Redfin. The API offers a free evaluation tier with 300 monthly requests, while a paid PRO plan costs $10 per month for 10,000 requests and full data fields. The guide also covers error handling for partial source failures and CSV formula injection, ensuring the watchlist remains reliable even when one data source goes offline.

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