This workflow facilitates automated scraping of Zillow property listings based on user-specified location and category inputs, integrating Bright Data API and Google Sheets for streamlined data collection and analysis. It initiates with a form trigger where users specify a location and listing category (rent or sale). Following submission, it triggers a Bright Data scraping job with these parameters via an HTTP request to the Bright Data API. The workflow then continuously monitors the progress of the scraping task, waiting and rechecking until the job is complete. Once finished, it retrieves the scraped property data using the snapshot ID. The plugin then validates whether relevant data exists, and if so, it appends this information to a designated Google Sheet, effectively automating the process of collecting and storing property listings for further review or analysis. This workflow is ideal for real estate professionals, data analysts, or developers automating property market research, competitive analysis, or market trend monitoring.
Automated Zillow Property Data Collection & Storage Workflow
Node Count | 11 – 20 Nodes |
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Nodes Used | formTrigger, googleSheets, httpRequest, if, stickyNote, wait |
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