DataHarvester Autor: LOTO188

DataHarvester offers options for defining data extraction rules, selecting target elements, and specifying output formats for extracted data. It supports scraping data from HTML tables, JSON APIs, XML documents, and relational databases, providing flexibility and versatility in data harvesting tasks.

Instructions: After installation, users can access DataHarvester from the widget toolbar. They can then specify the URL or source of the data they wish to extract and define extraction rules using the tool's intuitive interface. DataHarvester provides options for selecting specific elements, applying filters, and configuring output settings for the extracted data. Users can preview the extracted data in real-time and make adjustments as needed before exporting it to CSV format. DataHarvester also offers scheduling and automation features for recurring data extraction tasks, allowing users to streamline data collection workflows and ensure timely delivery of fresh data.