extract-data

To extract structured data from web pages, you provide target URLs and your preferred output format. The skill processes single or multiple pages, enforcing incremental writes to disk and returning consolidated CSV, JSON, or Markdown datasets with preserved source URLs.

The best way to scrape multiple web pages while avoiding memory bloat is using incremental, disk-based storage. This approach writes extracted data per page directly to disk, ensuring consistent multi-source extraction without overwhelming system memory.

Yes, you can consolidate product listings from several web pages into a single dataset. The skill performs multi-source extraction, generating per-page raw outputs and merging them into one unified dataset with a traceable source_url field.

Web scraping with this method does handle pagination and errors during the extraction process. It automates data collection across multiple pages, managing pagination logic and error handling to ensure reliable, structured output.

To preserve source URLs when extracting data, the skill automatically appends a traceable source_url field to every record. This ensures full provenance and data traceability across your merged CSV, JSON, or Markdown outputs.