ddgs

name	ddgs
description	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.

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:

Method	Keys
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

Tool	Description
search_text	Web text search
search_images	Image search
search_news	News search
search_videos	Video search
search_books	Book search
extract_content	Extract content from a URL

Quick Reference

Parameter	Values	Default
region	us-en, uk-en, ru-ru, de-de, etc.	us-en
safesearch	on, moderate, off	moderate
timelimit	d (day), w (week), m (month), y (year)	None
max_results	int	10
page	int	1
backend	auto, all, or engine name	auto

Available backends by method:

Method	Backends
text()	bing, brave, duckduckgo, google, grokipedia, mojeek, startpage, 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)