A Python-based metasearch library for agents to aggregate web results and extract content from URLs.

Install

mkdir -p .claude/skills/ddgs && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/10103" && unzip -o skill.zip -d .claude/skills/ddgs && rm skill.zip

Installs to .claude/skills/ddgs

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Use when an agent needs to search the web, find images/news/videos/books, or extract content from a URL. Covers the ddgs Python library, CLI, and MCP server integration.
169 chars✓ has a “when” trigger
Beginner

Key capabilities

  • Search web text
  • Find images and videos
  • Retrieve news and books
  • Extract content from URLs

How it works

It aggregates results from multiple search engines via Python API, CLI, or MCP server.

Inputs & outputs

You give it
Search query or URL
You get back
List of search results or extracted content

When to use ddgs

  • Search the web for current programming documentation
  • Extract clean text content from a documentation website
  • Gather images or news for a report

About this skill

ddgs — Web Search for Agents

Overview

ddgs (Dux Distributed Global Search) is a Python metasearch library that aggregates results from multiple search engines. Agents can use it via Python API, CLI, or MCP server.

Python API

from ddgs import DDGS

# Text search
results = DDGS().text("python async", max_results=5)

# Images, news, videos, books
images = DDGS().images("butterfly", max_results=5)
news   = DDGS().news("ai regulation", timelimit="w")
videos = DDGS().videos("rust programming")
books  = DDGS().books("machine learning")

# Extract content from a URL
page = DDGS().extract("https://example.com")
page["content"]          # Markdown text (default)
page = DDGS().extract("https://example.com", fmt="text_plain")
page = DDGS().extract("https://example.com", fmt="content")  # raw bytes

All search methods return list[dict[str, Any]]. Each dict has keys depending on category:

MethodKeys
text()title, href, body
images()title, image, thumbnail, url, height, width, source
videos()title, content, description, duration, embed_url, images, publisher
news()date, title, body, url, image, source
books()title, author, publisher, info, url, thumbnail

CLI

# Text search
ddgs text -q "python async" --max_results 5

# Other categories
ddgs images -q "cats" --color Blue
ddgs news -q "tech" --timelimit d
ddgs videos -q "cars" --duration medium
ddgs books -q "sea wolf"

# Extract content
ddgs extract -u https://example.com
ddgs extract -u https://example.com -f text_plain

# Save results
ddgs text -q "dogs" -o results.json
ddgs text -q "dogs" -o results.csv

# Version
ddgs version

CLI for Agents

Agents can also use ddgs as a CLI tool via subprocess. Auto-detects non-TTY — outputs plain text without colors or interactive pauses.

To discover available options:

ddgs --help
ddgs text --help
ddgs images --help

MCP Server

stdio (for local MCP clients like Cursor, Claude Desktop)

pip install ddgs[mcp]
ddgs mcp                             # stdio MCP server
ddgs mcp -pr socks5h://127.0.0.1:9150  # with proxy

Client configuration:

{
  "mcpServers": {
    "ddgs": {
      "command": "ddgs",
      "args": ["mcp"]
    }
  }
}

Available MCP Tools

ToolDescription
search_textWeb text search
search_imagesImage search
search_newsNews search
search_videosVideo search
search_booksBook search
extract_contentExtract content from a URL

Quick Reference

ParameterValuesDefault
regionus-en, uk-en, ru-ru, de-de, etc.us-en
safesearchon, moderate, offmoderate
timelimitd (day), w (week), m (month), y (year)None
max_resultsint10
pageint1
backendauto, all, or engine nameauto

Available backends by method:

MethodBackends
text()bing, brave, duckduckgo, google, grokipedia, mojeek, yandex, yahoo, wikipedia
images()bing, duckduckgo
videos()duckduckgo
news()bing, duckduckgo, yahoo
books()annasarchive

Tips

  • Proxy (Python): DDGS(proxy="socks5h://127.0.0.1:9150") or set env DDGS_PROXY
  • Proxy (MCP): ddgs mcp -pr socks5h://127.0.0.1:9150 or export DDGS_PROXY=...
  • Proxy (API): ddgs api -pr socks5h://127.0.0.1:9150 or export DDGS_PROXY=...
  • SSL verification: DDGS(verify=False) or DDGS(verify="/path/to/cert.pem")
  • Timeout: DDGS(timeout=10) (default: 5 seconds)
  • Errors: catches DDGSException, RatelimitException, TimeoutException
  • Multiple backends: backend="bing,google" (comma-separated)

When not to use it

  • Private data searching

Prerequisites

pip install ddgs

Limitations

  • Dependent on external search engine availability

How it compares

It provides a unified metasearch interface across multiple engines.

Compared to similar skills

ddgs side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
ddgs (this skill)03moReviewBeginner
exa-search98moReviewBeginner
deep-research04moNo flagsIntermediate
exa-discovery04moNo flagsIntermediate

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