Searxng

Searxng is a community skill for privacy-respecting metasearch using local SearXNG instances, covering web search, image search, news search, multi-engine aggregation, and private search without tracking for privacy-focused information retrieval.

What Is This?

Overview

Searxng provides privacy-respecting metasearch capabilities by querying multiple search engines through your local SearXNG instance. It covers web search that aggregates results from multiple search engines without tracking, image search that finds pictures across search engines while protecting user privacy, news search that discovers articles from various sources without personalized tracking, multi-engine aggregation that combines results from Google, Bing, DuckDuckGo, and others, and private search that performs queries without cookies, tracking, or user profiling. The skill helps users search the web while maintaining privacy and avoiding filter bubbles created by personalized ranking algorithms.

Who Should Use This

This skill serves privacy-conscious users avoiding search engine tracking, developers needing search functionality without commercial API dependencies, researchers who require unbiased and diverse results across multiple sources, and teams running self-hosted search infrastructure for internal use.

Why Use It?

Problems It Solves

Commercial search engines track user queries and build detailed behavioral profiles over time. Search results are personalized creating filter bubbles that limit information diversity and reinforce existing viewpoints. Using multiple search engines separately is inefficient when comprehensive results are needed quickly. Search engine APIs have rate limits and costs that restrict automation use cases and make large-scale querying impractical.

Core Highlights

Metasearch engine aggregates results from multiple sources in a single query. Privacy protector performs searches without tracking, cookies, or user profiling. Multi-source aggregator combines Google, Bing, DuckDuckGo, and other search engines. Local instance support allows self-hosted deployment for complete privacy control.

How to Use It?

Basic Usage

searxng search \
  "Python best practices"

searxng search \
  "mountain landscape" \
  --category images

searxng search \
  "technology news" \
  --category news

Real-World Examples

searxng search \
  "machine learning tutorials" \
  --engines google,bing,duckduckgo

searxng search \
  "React documentation" \
  --format json \
  --limit 20

searxng search \
  "climate change" \
  --category general,news,science

searxng search \
  "local news" \
  --instance http://localhost:8888

Advanced Tips

Run your own SearXNG instance for complete control over privacy settings, enabled search engines, and result filtering preferences. Disable specific search engines in your instance configuration to customize result sources based on quality, relevance, and regional availability. Use JSON output format to integrate search results into automated workflows, applications, and data processing pipelines for programmatic access. Combine results from multiple search categories like web, news, images, and science to get comprehensive coverage of available information on a given topic. Configure search engine priorities and weights in your instance to favor higher-quality sources and reduce spam results. Enable result caching to improve search performance and reduce load on upstream search engine providers, particularly useful during high-frequency querying scenarios.

When to Use It?

Use Cases

Search the web privately without tracking by routing queries through self-hosted SearXNG instances for complete control. Build search features into applications without commercial API dependencies or usage costs. Aggregate results from multiple search engines to avoid bias and get diverse perspectives on contested or complex topics.

Related Topics

Privacy-focused search, metasearch engines, SearXNG deployment, search aggregation, search privacy, private browsing, decentralized search, and self-hosted search.

Important Notes

Requirements

A running SearXNG instance accessible over the network for processing search queries. Network connectivity to your SearXNG instance and underlying search engine endpoints. Understanding that search quality depends on which engines are enabled and properly configured in your instance.

Usage Recommendations

Do: run your own SearXNG instance for maximum privacy control and search engine customization. Enable multiple search engines in your instance to get diverse results and avoid single-source bias. Use JSON output for programmatic access when integrating search into automated workflows and applications.

Don't: use public SearXNG instances for sensitive searches since you cannot verify their privacy practices or logging policies. Expect identical results to direct search engine queries since metasearch introduces aggregation and filtering. Assume all search engines return the same quality results since coverage and relevance vary significantly by topic and region.

Limitations

Search quality depends on enabled engines and may vary from direct search engine access. Some search engines may block or rate-limit SearXNG instances reducing result availability. Running your own instance requires server infrastructure and ongoing maintenance effort.