this post was submitted on 04 Jul 2023
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Privacy
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No.
I run a private instance of searxng on a cloud provider. If you have the know how to run Docker or are looking for a reason to learn it’s a pretty painless setup.
Searxng is a meta search engine that aggregates results from a lot of different search engines. You have the ability to configure which search engines it will use. For example you can have it aggregate results from Google, bing, yahoo, brave, DDG, startpage, and quant. You have a layer of abstraction between you and those services providing you extra privacy.
You can run an instance on your laptop/desktop and access it locally which gives ok privacy and protects from JS and other browser level tracking. Problem is your IP can still be correlated to others in the same network who use google or w/e. Also makes accessing from your phone and other devices a bit more difficult especially outside of your LAN as you’ll need to poke a hole through your firewall and use Dynamic DNS for reliable access while mobile.
Another option with better privacy is to run the instance in a public cloud provider like AWS, digital ocean, Linode, etc. This way Google, bing, yahoo, and other search engines just see the IP of your cloud instance making requests. It also makes mobile access easier since your instance will have a static IP that you can assign a DNS name to.
In both cases you can use Caddy as a reverse proxy to serve as the public endpoint. Caddy allows you to easily set up TLS/HTTPS without paying for a certificate.
https://github.com/searxng/searxng
Two questions:
For #1 theoretically yes they could likely also censor results. This would mean they modified/forked searxng to do so since as far as I know there is no “feature” implemented that lets the admin modify search results beyond configuring which search engines are queried.
For #2 I’m not sure what oracle’s free tier looks like but I guess if it’s free you could give it a shot. I’d say you probably want a VM with at least 1GB of ram and then limit the searxng container to 512MB of ram in docker. 1GB might be tight with the other services that run with it like redis and a reverse proxy like Caddy or NGINX, but could probably be done. I’m using a 2 core 4GB RAM instance and it has plenty of headroom that allows me to self host other small services.This small implementation is obviously sized to be used on a small scale that maybe you and your family and friends use privately, a more public instance would obviously require more resources.