Data Scraping Tool

This tool enables programmatic extraction of structured data from web pages by applying CSS selectors or XPath expressions to the HTML DOM. It supports defining multiple fields, each mapped to a selector, and can handle both single-page and multi-page workflows. The extraction results are returned as records that can be exported in JSON, CSV, or NDJSON, suitable for analytics, monitoring, or research pipelines. The core concept is rule-based data retrieval: specify what to pull, from where, and how to normalize it for downstream use. This includes text content, attribute values, and resolved URLs. The tool emphasizes reproducibility by applying identical selectors across pages and pages in a sequence. Typical use cases include product price tracking, article metadata collection, directory scraping, and lead-list generation. It differentiates itself with support for both CSS and XPath selectors, robust input validation, and deterministic exports, enabling teams to reuse extraction rules across projects. Core features include field-level selector definitions, optional pagination controls, basic normalization (trim, whitespace consolidation, date/number parsing), and flexible output formats. For researchers and marketers, the ability to define consistent field mappings and export clean datasets directly into analysis environments accelerates workflows and improves data quality. Use cases span competitive intelligence, content auditing, and market research where repeatable, auditable data collection is essential. The tool is designed for publicly accessible pages and does not perform login-based scraping by default; it relies on standard HTML DOM access and user-provided selectors for data capture.