ETL (Extract, Transform, Load)
IndustryDefinition
ETL is a data integration process that extracts data from sources, transforms it into a suitable format, and loads it into a target system. It is the standard approach for moving data between systems.
How It Relates to CrawlForge
The "Extract" phase of ETL is where web scraping fits in. CrawlForge handles extraction from web sources, returning data in structured formats that are ready for the transform and load phases of your pipeline.
For web-based ETL, CrawlForge replaces the need to build custom extractors for each data source. batch_scrape extracts data at scale, scrape_structured applies schemas to standardize the output, and the results flow directly into your transformation layer.
Related CrawlForge Tools
Related Terms
Data Pipeline
A data pipeline is an automated sequence of steps that collects, processes, transforms, and delivers data from sources to destinations. It enables continuous data flow between systems without manual intervention.
Data Quality
Data quality measures how well a dataset meets the requirements of its intended use. Key dimensions include accuracy, completeness, consistency, timeliness, and validity of the data.
Web Scraping
Web scraping is the automated extraction of data from websites. It involves programmatically fetching web pages and parsing their content to collect structured information.
Structured Output
Structured output refers to data returned in a predictable, machine-readable format like JSON, rather than free-form text. It enables reliable downstream processing by AI agents and data pipelines.
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