SearXNG
Self-HostedPrivacy-focused meta-search engine aggregating results from multiple sources
Overview
SearXNG is an open-source meta-search engine that fetches results from over 70 search services (including Google, Bing, and DuckDuckGo) while protecting user privacy—no tracking, ads, or personal data collection. It supports easy self-hosting via Docker, Docker Compose, or traditional setups, allowing customization of search sources, themes, and filters. Users retain full control over their search data, making it ideal for those avoiding proprietary platforms and prioritizing anonymity.
Self-Hosting Resources
Below is a reference structure for docker-compose.yml.
⚠️ Do NOT run blindly. Replace placeholders with official values.
version: '3'
services:
searxng:
image: <OFFICIAL_IMAGE_NAME>:latest
container_name: searxng
ports:
- "8080:<APP_INTERNAL_PORT>"
volumes:
- ./data:/app/data
restart: unless-stopped Key Features
- Aggregates results from 70+ search sources
- Zero user tracking or personal data storage
- Highly customizable (themes, filters, source selection)
- Simple self-hosting via Docker/Compose
Frequently Asked Questions
? Is SearXNG hard to install?
SearXNG is easy to install with Docker or Docker Compose (pre-built images reduce setup to a few commands). Non-Docker setups require installing Python dependencies and configuring the instance, which may be technical for beginners but has detailed documentation.
? Is it a good alternative to Google Search?
Yes, for privacy-focused users. It aggregates results from Google (if enabled) and others without tracking, but lacks Google’s personalized AI features or integrated services like Maps or Gmail.
? Is SearXNG completely free?
Yes—SearXNG is open-source under AGPLv3, so it’s free to use, modify, and self-host. There are no paid tiers or subscription fees for the software itself.
Top Alternatives
People Also Ask about SearXNG
Tool Info
Pros
- ⊕ Privacy-first design (no ads or tracking)
- ⊕ Open-source and modifiable
- ⊕ No dependency on single search provider
- ⊕ Customizable to fit specific needs
Cons
- ⊖ Requires technical knowledge for non-Docker setups
- ⊖ Slower results due to multi-source aggregation
- ⊖ Some sources need API keys for full access
- ⊖ Lacks advanced AI features of proprietary engines