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Xberg.io

Official

@xberg-io · Germany

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18Public Repos
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31Published Skills

Polyglot document intelligence with a Rust core — extract structured data from 97+ formats

Skills Distribution
DomainData Systems...Document Parsing &.. (40%)Source Code Analysis (35%)Web Crawling & Ext.. (25%)

Agent Skills by Xberg.io

Showing 31 vetted skills indexed across 1 GitHub repositories.

xberg-ioxberg-io
26

extracting-code-structure

Extract functions, classes, imports, and exports from source files using ts-pack process.

Official
Advanced
xberg-ioxberg-io
26

chunking-for-llms

Split source code into syntax-aware chunks for LLM context windows.

Official
Intermediate
xberg-ioxberg-io
26

detecting-languages

Detect programming languages from files or snippets without extensions.

Official
Basic
xberg-ioxberg-io
26

parsing-source

Generate syntax trees from source code using tree-sitter.

Official
Intermediate
xberg-ioxberg-io
26

managing-parsers

Manage tree-sitter parser cache with prefetch, list, inspect, and clean commands.

Official
Intermediate
xberg-ioxberg-io
26

tree-sitter-language-pack

Parse and analyze code across 306 languages using tree-sitter grammars.

Official
Advanced
xberg-ioxberg-io
26

using-the-mcp-server

Parse source code and detect programming languages via the tree-sitter-language-pack MCP server.

Official
Intermediate
xberg-ioxberg-io
26

fetching-and-converting-urls

Convert live URLs into Markdown with preprocessing and JSON output.

Official
Intermediate
xberg-ioxberg-io
26

converting-html

Convert HTML files to Markdown while preserving structure and formatting.

Official
Intermediate
xberg-ioxberg-io
26

html-to-markdown

Convert HTML files to Markdown with metadata and table extraction.

Official
Advanced
xberg-ioxberg-io
26

extracting-tables

Extract HTML tables and convert them to Markdown and structured JSON.

Official
Intermediate
xberg-ioxberg-io
26

extracting-metadata

Extract titles, descriptions, language, and Open Graph tags from HTML documents.

Official
Intermediate
xberg-ioxberg-io
26

crawling-a-site

Crawl websites with depth, page limits, concurrency, and robots.txt compliance.

Official
Intermediate
xberg-ioxberg-io
26

automating-the-browser

Automate browser interactions to scrape JavaScript-loaded dynamic web content.

Official
Advanced
xberg-ioxberg-io
26

serving-the-api

Serve crawlberg engine operations via an HTTP API with Firecrawl v1 protocol.

Official
Intermediate
xberg-ioxberg-io
26

mapping-urls

Parse sitemaps and extract links from HTML with custom filters and output formats.

Official
Basic
xberg-ioxberg-io
26

headless-fallback

Scrape JavaScript-heavy web pages using headless-Chrome as a fallback.

Official
Intermediate
xberg-ioxberg-io
26

scraping-html-to-markdown

Convert a single web page to Markdown with metadata.

Official
Advanced
xberg-ioxberg-io
26

crawlberg

Scrape webpages and convert HTML content to Markdown.

Official
Intermediate
xberg-ioxberg-io
26

picking-a-format

Determines optimal text/markdown/json/etc. output formats for extracted documents based on consumer needs.

Official
Intermediate
xberg-ioxberg-io
26

batch-extraction

Extract text and metadata from multiple PDF files concurrently.

Official
Intermediate
xberg-ioxberg-io
26

chunking

Split text into chunks by size, overlap, and chunker type.

Official
Intermediate
xberg-ioxberg-io
26

extracting-with-ocr

Extract machine-readable text from scanned PDFs and images using OCR engines.

Official
Advanced
xberg-ioxberg-io
26

xberg

Extract text, tables, and metadata from PDFs using OCR.

Official
Advanced

Frequently Asked Questions About Xberg.io

FAQPage Schema
What specific data extraction tasks does Xberg.io support?

Xberg.io enables the extraction of structured data from 97+ formats, including HTML table parsing, PDF text and metadata retrieval, and source code syntax tree generation. It supports advanced operations like OCR for scanned documents and converting dynamic web content into clean Markdown.

Which technical personas benefit most from these capabilities?

Data engineers, backend developers, and search infrastructure architects benefit from these capabilities. The platform is designed for those building retrieval-augmented generation systems, codebase analysis engines, or large-scale web scraping pipelines requiring high-fidelity document conversion and syntax-aware text chunking.

What are the primary dependencies for running Xberg.io operations?

The core operations rely on tree-sitter for source code parsing and headless-Chrome for rendering dynamic web content. Users must manage environment configurations for OCR engines and ensure compatibility with the provided Rust-based processing modules for local or server-side execution.