1.Monitors new scraper result
Integrate MrScraper and data pipelines to catch each new scraper result and pass raw JSON and result URL to the process.
Create normalized product records from scheduled scraper results
Automatically catch new product results from MrScraper across scraping, transformation, and SQL storage. Create and validate normalized product rows when new scraper results arrive, when prices parse correctly, or when source URLs match—so you can insert clean product fields and timestamps without manual data wrangling.
How this automation normalizes your product records
When new scraper results arrive, bad or inconsistent prices can break your product dataset and slow downstream analysis. This automation catches results in MrScraper, transforms and validates them with Code by Zapier, and inserts normalized rows into SQL Server—so your team can trust product fields instantly.
MrScraperor swap with your favorite app
2.Transforms and validates product data
Integrate Code by Zapier and data validation tools to parse JSON, normalize price formats, extract vendor and timestamp, and map fields to product columns.
Code by Zapieror swap with your favorite app
3.Inserts row into products table
Integrate SQL Server and database writing tools to insert a new products row, mapping title, normalized price, vendor, source URL, and timestamp.
SQL Serveror swap with your favorite app
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