Data Scraper

The Data Scraper Tool enables programmatic extraction of structured content from any target web page by configuring a URL, a set of field definitions, and an output format. It supports multiple field descriptors (name, selector, data_type, attribute) and returns records in JSON or CSV. It is suitable for SEO audits, market research, and data enrichment pipelines. It works best on pages with static HTML; for heavy JS you may need pre-rendered pages or API access.\n\nConceptually, the tool requests the specified URL, applies each field's CSS selector to locate data, extracts text or an attribute, normalizes whitespace, casts numbers or dates, and deduplicates records by a key if provided. It can paginate across pages up to max_pages. Invalid selectors yield nulls; missing pages are skipped.\n\nWho benefits: SEO analysts, data scientists, product marketers, and researchers; typical use cases include price scraping, product catalogs, article meta data, and competitor listings. The tool supports automated runs, standardizes output, and integrates with data pipelines.\n\nCore features include multi-field descriptors, input validation, configurable output formats, error handling, rate limiting, robots.txt consideration, and export-ready schemas. A differentiator is explicit per-field extraction logic with robust normalization and ready-to-use JSON/CSV formats for analytics and BI tools.\n\nExamples: extract product name and price from an e-commerce listing, compile a dataset of article titles and publication dates, or gather job postings with location and date fields for market analysis.