Website Crawler for Internal Content Indexing

Our company is engaged in the development, support and maintenance of sites of any complexity. From simple one-page sites to large-scale cluster systems built on micro services. Experience of developers is confirmed by certificates from vendors.
8+Years of work900+Completed projects100+In house employees19+Partners
Development and maintenance of all types of websites:
Informational websites or web applications
Business card websites, landing pages, corporate websites, online catalogs, quizzes, promo websites, blogs, news resources, informational portals, forums, aggregators
E-commerce websites or web applications
Online stores, B2B portals, marketplaces, online exchanges, cashback websites, exchanges, dropshipping platforms, product parsers
Business process management web applications
CRM systems, ERP systems, corporate portals, production management systems, information parsers
Electronic service websites or web applications
Classified ads platforms, online schools, online cinemas, website builders, portals for electronic services, video hosting platforms, thematic portals

These are just some of the technical types of websites we work with, and each of them can have its own specific features and functionality, as well as be customized to meet the specific needs and goals of the client.

Offered services
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Website Crawler for Internal Content Indexing
Medium
~3-5 business days
FAQ
Our competencies:
Development stages
Latest works
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    B2B ADVANCE company website development
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    1056
  • image_crm_enviok_479_0.webp
    Development of a web application for Enviok
    828
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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 tsvector for 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.