awesome-repositories.com
Blog
MCP
awesome-repositories.com

Entdecke die besten Open-Source-Repositories mit KI-gestützter Suche.

EntdeckenKuratierte SuchenOpen-Source-AlternativenSelf-hosted SoftwareBlogSitemap
ProjektMCP-ServerÜber unsRanking-MethodikPresse
RechtlichesDatenschutzAGB
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

2 Repos

Awesome GitHub RepositoriesStructured Data Mappings

Mapping of structured data schemas to specific HTML tags for search engine visibility.

Distinct from Metadata Mapping: Focuses on HTML-based structured data for SEO, whereas the parent focuses on database schema-to-code mapping.

Explore 2 awesome GitHub repositories matching software engineering & architecture · Structured Data Mappings. Refine with filters or upvote what's useful.

Awesome Structured Data Mappings GitHub Repositories

Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
  • joshbuchea/headAvatar von joshbuchea

    joshbuchea/HEAD

    30,256Auf GitHub ansehen↗

    This project is a comprehensive reference guide and checklist for configuring the HTML head element of a webpage. It provides instructions for managing metadata, scripts, and styles to ensure consistent document rendering and indexing. The resource focuses on search engine optimization through structured data and geographic tags, as well as social media integration using Open Graph and platform-specific tags. It includes guidance on mobile web optimization, specifically regarding viewport settings and web app manifests for home screen installation. The project also covers web performance opt

    Details how to map structured data requirements to HTML tags for rich search engine result snippets.

    faviconfrontend-developmenthead
    Auf GitHub ansehen↗30,256
  • grangier/python-gooseAvatar von grangier

    grangier/python-goose

    4,088Auf GitHub ansehen↗

    python-goose is a Python library for web scraping and content extraction. It functions as an HTML boilerplate remover and article parser designed to isolate primary text and metadata from web pages by stripping away navigation, layout noise, and non-essential elements. The tool features multilingual processing capabilities, utilizing language-specific stop-word analyzers to identify and extract primary content across different languages. It also identifies and collects embedded media, including source URLs and embed codes for lead images and videos associated with an article. The library cov

    Maps standard HTML meta tags to structured data formats for article titles and descriptions.

    HTML
    Auf GitHub ansehen↗4,088
  1. Home
  2. Software Engineering & Architecture
  3. Metadata Mapping
  4. Structured Data Mappings