Web Scraper

The tool performs automated extraction of structured data from public web pages to support SEO, content audits, and market research. It accepts a batch of URLs and a mapping of data fields to selectors, then retrieves and normalizes values such as titles, meta tags, headings, prices, and schema attributes. The underlying domain logic prioritizes accuracy, traceability, and export readiness, enabling repeatable data collection across sites. Conceptually, pages are fetched, parsed into a DOM, and each configured selector is applied to obtain the targeted value; results are normalized (trim, standardize dates and numbers) and aggregated. Optional rendering of dynamic content via a headless browser expands coverage for client-side data. Outputs can be exported as JSON, CSV, or NDJSON, suitable for ingestion into data pipelines or analytics tools. The tool emphasizes compliance by default, respecting robots.txt and configurable rate limiting to minimize impact on target sites. It provides per-item metadata such as extraction confidence and per-page summaries to aid validation. Use cases include competitive price tracking, metadata validation, product data inventories, and content migration analysis. Core features also include pagination handling, deduplication, and robust error handling to report partial success across large batches.