Testing of the Whoogle search proxy for google
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Get Google search results, but without any ads, javascript, AMP links, cookies, or IP address tracking. Easily deployable in one click as a Docker app, and customizable with a single config file. Quick and simple to implement as a primary search engine replacement on both desktop and mobile.
Contents
If using Heroku Quick Deploy, you can skip this section.
libcurl4-openssl-dev and libssl-dev
brew install openssl curl-opensslsudo apt-get install -y libcurl4-openssl-dev libssl-devpacman -S curl opensslThere are a few different ways to begin using the app, depending on your preferences:
Note: Requires a (free) Heroku account
Provides:
Persistent install:
pipx install git+https://github.com/benbusby/whoogle-search.git
Sandboxed temporary instance:
pipx run git+https://github.com/benbusby/whoogle-search.git whoogle-search
pip install whoogle-search
$ whoogle-search --help
usage: whoogle-search [-h] [--port <port number>] [--host <ip address>] [--debug]
Whoogle Search console runner
optional arguments:
-h, --help show this help message and exit
--port <port number> Specifies a port to run on (default 8888)
--host <ip address> Specifies the host address to use (default 127.0.0.1)
--debug Activates debug mode for the Flask server (default False)
Clone the repo and run the following commands to start the app in a local-only environment:
git clone https://github.com/benbusby/whoogle-search.git
cd whoogle-search
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
./whoogle-search
sudo usermod -aG docker yourusernamedocker ps should return something besides an error. If you encounter an error saying the daemon isn't running, try sudo systemctl start docker (Linux) or ensure the docker tool is running (Windows/macOS).git clone https://github.com/benbusby/whoogle-search.git
cd whoogle-search
docker build --tag whooglesearch:1.0 .
docker run --publish 8888:5000 --detach --name whooglesearch whooglesearch:1.0
And kill with: docker rm --force whooglesearch
heroku login
heroku container:login
git clone https://github.com/benbusby/whoogle-search.git
cd whoogle-search
heroku create
heroku container:push web
heroku container:release web
heroku open
This series of commands can take a while, but once you run it once, you shouldn't have to run it again. The final command, heroku open will launch a tab in your web browser, where you can test out Whoogle and even set it as your primary search engine.
There are other methods for deploying docker containers that are well outlined in this article, but there are too many to describe set up for each here. Generally it should be about the same amount of effort as the Heroku deployment.
Depending on your preferences, you can also deploy the app yourself on your own infrastructure. This route would require a few extra steps:
Same as most search engines, with the exception of filtering by time range.
To filter by a range of time, append ":past " to the end of your search, where can be hour, day, month, or year. Example: coronavirus updates :past hour
Update browser settings:
Whoogle currently allows a few minor configuration settings, accessible from the home page:
Part of the deal with Heroku's free tier is that you're allocated 550 hours/month (meaning it can't stay active 24/7), and the app is temporarily shut down after 30 minutes of inactivity. Once it becomes inactive, any Whoogle searches will still work, but it'll take an extra 10-15 seconds for the app to come back online before displaying the result, which can be frustrating if you're in a hurry.
A good solution for this is to set up a simple cronjob on any device at your home that is consistently powered on and connected to the internet (in my case, a PiHole worked perfectly). All the device needs to do is fetch app content on a consistent basis to keep the app alive in whatever ~17 hour window you want it on (17 hrs * 31 days = 527, meaning you'd still have 23 leftover hours each month if you searched outside of your target window).
For instance, adding */20 7-23 * * * curl https://<your heroku app name>.herokuapp.com > /home/<username>/whoogle-refresh will fetch the home page of the app every 20 minutes between 7am and midnight, allowing for downtime from midnight to 7am. And again, this wouldn't be a hard limit - you'd still have plenty of remaining hours of uptime each month in case you were searching after this window has closed.
Since the instance is destroyed and rebuilt after inactivity, config settings will be reset once the app enters downtime. If you have configuration settings active that you'd like to keep between periods of downtime (like dark mode for example), you could instead add */20 7-23 * * * curl -d "dark=1" -X POST https://<your heroku app name>.herokuapp.com > /home/<username>/whoogle-refresh to keep these settings more or less permanent, and still keep the app from entering downtime when you're using it.
What's the difference between this and Searx?
Whoogle is intended to only ever be deployed to private instances by individuals of any background, with as little effort as possible. Prior knowledge of/experience with the command line or deploying applications is not necessary to deploy Whoogle, which isn't the case with Searx. As a result, Whoole is missing some features of Searx in order to be as easy to deploy as possible.
Whoogle also only uses Google search results, not Bing/Quant/etc, and uses the existing Google search UI to make the transition away from Google search as unnoticeable as possible.
I'm a huge fan of Searx though and encourage anyone to use that instead if they want access to other search engines/a different UI/more configuration.
Why does the image results page look different?
A lot of the app currently piggybacks on Google's existing support for fetching results pages with Javascript disabled. To their credit, they've done an excellent job with styling pages, but it seems that the image results page - particularly on mobile - is a little rough. Moving forward, with enough interest, I'd like to transition to fetching the results and parsing them into a unique Whoogle-fied interface that I can style myself.


Content type
Image
Digest
Size
344.2 MB
Last updated
over 6 years ago
docker pull firelfy/whoogle_test