Results for “url-schemes”

Implement schema.org structured data markup to help search engines understand content and enable rich results in search.

Applies Schema.org structured data principles to guide decision-making, structure analysis, and improve search visibility outcomes.

Detects, validates, and generates Schema.org structured data, preferring JSON-LD, with guidance on supported types and common errors.

Implement, audit, and validate JSON-LD structured data to earn rich results in Google and improve AI search visibility.

Search the web and fetch content from URLs, returning LLM-friendly markdown.

Create strategic HTML presentations with Chart.js, design tokens, responsive layouts, copywriting formulas, and contextual slide strategies.

Discovers and lists all URLs on a website, with optional search filtering to find specific pages within large sites.

Deep-crawl any website from start URLs, returning per-page LLM-ready text, markdown, or HTML with metadata and in-scope outbound links.

Automate web crawling and data extraction with Firecrawl: scrape pages, crawl sites, extract structured data, batch scrape URLs, and map website structures.

Adds, fixes, and optimizes schema.org structured data (JSON-LD) for rich results, including validation and implementation guidance.

Scrape and crawl websites for AI with Firecrawl — scrape single URLs to clean Markdown/HTML, crawl entire sites with depth/path filters, extract structured data with LLM schema, use map to discover all URLs, and batch scrape multiple pages in parallel.

Create strategic HTML presentations with Chart.js, design tokens, responsive layouts, copywriting formulas, and contextual slide strategies.