deedy5/ddgs

DDGS is a metasearch library that aggregates results from diverse web search services.

The tool solves the problem of querying multiple search engines through a single interface. Rather than building direct integrations with individual search providers, it acts as an intermediary that can route queries to different backends depending on the search type. For text search, it supports ten different engines including Bing, DuckDuckGo, Google, Brave, Yandex, and others. Image search draws from Bing and DuckDuckGo, video search from DuckDuckGo, news from Bing and DuckDuckGo, and books from Anna's Archive. The library also includes a content extraction function to fetch and parse URLs.

Developers should adopt this tool if they need programmatic access to multiple search engines without maintaining separate API integrations. It works well for applications requiring web search, image search, news aggregation, or book discovery. The project offers three usage patterns: a Python library for direct integration, a command-line interface for scripting, and an API server with REST endpoints that can be deployed via Docker. An MCP server implementation is also available for integration with MCP-compatible clients like Cursor or Claude Desktop. The tool requires Python 3.10 or later.

The project shows active maintenance with regular releases published to PyPI. Development activity includes ongoing updates to the codebase and responsiveness to the repository's issues and pull requests. The maintainer has structured the tool to support multiple access patterns, suggesting attention to different user needs and deployment scenarios.