ddgs-search

RebelPotato's avatarfrom RebelPotato

Web search via the DDGS metasearch library. Use for searching for unknown documentation, facts, or any web content. Lightweight, no browser required.

⭐0stars🔀0forks📁View on GitHub🕐Updated Jan 4, 2026
[Web Research]

When & Why to Use This Skill

The ddgs-search skill empowers Claude agents to perform high-speed, browserless web searches and full-text content extraction using the DDGS metasearch library. It bridges the gap between static training data and the live web, allowing for real-time information retrieval, documentation lookups, and factual verification across multiple search backends like Google, Bing, and DuckDuckGo.

Use Cases

  • Technical Documentation Retrieval: Search for the latest API references, library updates, or troubleshooting guides to assist in software development and debugging.
  • Real-time Fact Checking: Verify current events, news, or specific data points that have emerged after the model's last training cutoff.
  • Automated Market Intelligence: Conduct broad searches across multiple engines to gather competitor data, industry trends, or consumer sentiment without manual browsing.
  • Lightweight Data Scraping: Extract full-text content from specific URLs for summarization or analysis, bypassing the need for heavy browser-based automation tools.
nameddgs-search
descriptionWeb search via the DDGS metasearch library. Use for searching for unknown documentation, facts, or any web content. Lightweight, no browser required.

DDGS search

Web search and content extraction using the DDGS library. No browser required.

Usage

Run from any directory:

uv run {baseDir}/search.py "python programming"                     # Basic search (5 results)
uv run {baseDir}/search.py "python programming" --proxy http://proxy.example.com:8080  # Use proxy
uv run {baseDir}/search.py "russia filetype:pdf"                    # Search with advanced query
uv run {baseDir}/search.py "python programming" -n 20               # More results
uv run {baseDir}/search.py "python programming" -r uk-en            # UK English results
uv run {baseDir}/search.py "python programming" -s off              # Disable safesearch
uv run {baseDir}/search.py "python programming" -t w2               # Results from the last two weeks
uv run {baseDir}/search.py "python programming" -p 2                # Page 2 of results
uv run {baseDir}/search.py "python programming" -b "bing,google"    # Use specific backends
uv run {baseDir}/search.py "python programming" --brief             # Show only snippets (no full text extraction)

Options

  • -n, --max-results <num> - Maximum number of results (default: 5)
  • -r, --region <code> - Region/language code: us-en, uk-en, ru-ru, etc. (default: us-en)
  • -s, --safesearch <level> - Safesearch level: on, moderate, off (default: off)
  • -t, --timelimit <period> - Time limit: d, w, m, y. (default: None)
  • -p, --page <num> - Page number of results (default: 1)
  • -b, --backend <backends> - Single or comma-delimited backends (default: auto)
    • available backends: bing, brave, duckduckgo, google, grokipedia, mojeek, yandex, yahoo, wikipedia
  • --proxy <url> - Proxy URL (default: None)
  • --brief - Suppress full text extraction from webpages (show only snippets)

Output Format

By default, the tool fetches and displays full text from each webpage:

--- Result 1 ---
Title: Python (programming language)
Href: https://grokipedia.com/page/Python_(programming_language)
Body: Python is an interpreted, high-level, general-purpose programming language designed for code readability and simplicity, featuring a dynamic type system and support for...

Full Text:
----------------------------------------
# Python (programming language)

Python is an interpreted, high-level, general-purpose programming language...

[... truncated ...]
----------------------------------------

--- Result 2 ---
...

Use --brief to show only the search result snippets without full text extraction.

When to Use

  • Searching for documentation or API references
  • Looking up facts or current information
  • Any task requiring web search without interactive browsing

Next Steps

Useful commands

  • Use curl to fetch webpage or download files
  • Use uvx html2text to convert webpages into readable text
  • Use pdftotext or uvx pdfplumber to extract text from PDF documents