ETL (Extract, Transform, Load) is a three-step data integration process that pulls data from a source, converts it into a usable format, and loads it into a destination system such as a database or data warehouse.
Extract retrieves raw data from its source (a website, database, or file). Transform cleans, restructures, and validates that data. Load writes the finished data into its target destination for reporting or downstream use.
A managed data pipeline built on scraped sources typically extracts raw pages, transforms them into a clean schema (parsing, deduplication, validation), and loads the result into the customer’s database or a delivered feed.
Data extraction has moved well beyond simple web scraping. Businesses now need to pull structured information from websites, PDFs, invoices, scanned documents, and marketplaces, then…
Web scraping in the U.S. has hit an inflection point. Anti-bot systems have gotten sharper, more sites render everything through JavaScript, and compliance (CCPA, GDPR,…
Web scraping APIs used to mean scripts that broke every time a target site changed its layout. Most growing teams have moved past that. They…