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Understand the Web.
Before You Touch Data.

GYD.AI Map discovers site structure, internal links, and content relationships at scale. Turn unknown domains into navigable, machine-readable graphs before running expensive crawls.

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Sitemap Discovery (robots.txt + XML BFS)
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Internal Link Graphing
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Pre-Crawl Intelligence

Map API Is Available

Generate site link maps and topology results instantly from dashboard or API.

Base route: /api/v1/map
Input: One or more URL targets
Output: Raw HTML + links JSON + Markdown

The Foundation of Intelligent Crawling

Map reveals how information is connected across a site or platform. It is the missing layer between raw search and deep extraction.

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Sitemap + HTML Discovery

Reads robots.txt, traverses XML sitemaps (up to 5,000 URLs), and parses rendered page links β€” all merged and deduplicated.

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Source-Tagged Results

Every link is tagged by origin: sitemap-only, page-only, or found in both β€” so you know exactly where each URL came from.

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Pre-Crawl Intelligence

Decide exactly what matters before spending resources on expensive rendering or extraction.

Mapping Pipeline

1

Entry Point

Submit one or more target URLs via API.

2

Sitemap + Page Scan

robots.txt β†’ XML sitemaps β†’ rendered HTML links, all merged.

3

Deduplication

Links are deduplicated and tagged by source (sitemap / page / both).

4

Graph Output

JSON + Markdown link list, ready for Crawl or AI ingestion.

Who Uses Map?

Large-Scale Crawlers

Don't crawl blind. Identify high-value paths (like /product/) before wasting budget on low-value pages (like /about/).

LLM Knowledge Expansion

Feed AI models with structured link graphs to help them understand how a website's information is organized.

Change Monitoring

Detect new, removed, or reorganized sections of a competitor's website instantly.

Security Audits

Map out the entire attack surface of a domain to find exposed endpoints or forgotten subdomains.

The Intelligence Layer

Map sits between discovery and execution β€” ensuring your Fetch and Crawl operations run efficiently, accurately, and at scale.