Website Crawler for Internal Content Indexing
Internal crawler is a tool for automatically traversing all website pages and building a content index. Used for site search, structure analysis, content mapping, duplicate detection, and technical audit.
What Crawler Builds
- Full URL index — all site pages with HTTP statuses
- Metadata — title, description, h1, canonical, hreflang
- Link graph — which page links to which
- Content index — text content for search
Implementation
Python with asyncio and httpx for async crawling, BeautifulSoup for HTML parsing.
Saving to Search Index
Results are indexed in:
-
PostgreSQL with
tsvectorfor built-in site search - Elasticsearch / OpenSearch for more flexible full-text search
- Meilisearch — lightweight self-hosted option with good UX
Timeline
Crawler with PostgreSQL index storage: 3–5 working days.







