mirror of https://github.com/CIRCL/lookyloo
147 lines
4.6 KiB
Markdown
147 lines
4.6 KiB
Markdown
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*Lookyloo* is a web interface allowing to scrape a website and then displays a
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tree of domains calling each other.
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Thank you very much [Tech Blog @ willshouse.com](https://techblog.willshouse.com/2012/01/03/most-common-user-agents/)
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for the up-to-date list of UserAgents.
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# What is that name?!
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```
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1. People who just come to look.
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2. People who go out of their way to look at people or something often causing crowds and more disruption.
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3. People who enjoy staring at watching other peoples misfortune. Oftentimes car onlookers to car accidents.
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Same as Looky Lou; often spelled as Looky-loo (hyphen) or lookylou
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In L.A. usually the lookyloo's cause more accidents by not paying full attention to what is ahead of them.
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```
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Source: [Urban Dictionary](https://www.urbandictionary.com/define.php?term=lookyloo)
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# Screenshot
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# Implementation details
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This code is very heavily inspired by [webplugin](https://github.com/etetoolkit/webplugin) and adapted to use flask as backend.
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The two core dependencies of this project are the following:
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* [ETE Toolkit](http://etetoolkit.org/): A Python framework for the analysis and visualization of trees.
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* [Splash](https://splash.readthedocs.io/en/stable/): Lightweight, scriptable browser as a service with an HTTP API
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# Installation
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**IMPORTANT**: Use [pipenv](https://pipenv.readthedocs.io/en/latest/)
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**NOTE**: Yes, it requires python3.6+. No, it will never support anything older.
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## Installation of Splash
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You need a running splash instance, preferably on [docker](https://splash.readthedocs.io/en/stable/install.html)
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```bash
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sudo apt install docker.io
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sudo docker pull scrapinghub/splash
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sudo docker run -p 8050:8050 -p 5023:5023 scrapinghub/splash --disable-ui --disable-lua --disable-browser-caches
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# On a server with a decent abount of RAM, you may want to run it this way:
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# sudo docker run -p 8050:8050 -p 5023:5023 scrapinghub/splash --disable-ui -s 100 --disable-lua -m 50000 --disable-browser-caches
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```
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## Install redis
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```bash
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git clone https://github.com/antirez/redis.git
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cd redis
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git checkout 5.0
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make
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cd ..
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```
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## Installation of Lookyloo
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```bash
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git clone https://github.com/CIRCL/lookyloo.git
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cd lookyloo
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pipenv install
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echo LOOKYLOO_HOME="'`pwd`'" > .env
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```
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# Run the app
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```bash
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pipenv run start.py
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```
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# Run the app in production
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## With a reverse proxy (Nginx)
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```bash
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pip install uwsgi
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```
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## Config files
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You have to configure the two following files:
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* `etc/nginx/sites-available/lookyloo`
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* `etc/systemd/system/lookyloo.service`
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Copy them to the appropriate directories, and run the following command:
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```bash
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sudo ln -s /etc/nginx/sites-available/lookyloo /etc/nginx/sites-enabled
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```
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If needed, remove the default site
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```bash
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sudo rm /etc/nginx/sites-enabled/default
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```
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Make sure everything is working:
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```bash
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sudo systemctl start lookyloo
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sudo systemctl enable lookyloo
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sudo nginx -t
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# If it is cool:
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sudo service nginx restart
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```
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And you can open ```http://<IP-or-domain>/```
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Now, you should configure [TLS (let's encrypt and so on)](https://www.digitalocean.com/community/tutorials/how-to-secure-nginx-with-let-s-encrypt-on-ubuntu-16-04)
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# Use aquarium for a reliable multi-users app
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Aquarium is a haproxy + splash bundle that will allow lookyloo to be used by more than one user at once.
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The initial version of the project was created by [TeamHG-Memex](https://github.com/TeamHG-Memex/aquarium) but
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we have a [dedicated repository](https://github.com/circl/aquarium) that fits our needs better.
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Follow [the documentation](https://github.com/CIRCL/aquarium/blob/master/README.rst) if you want to use it.
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# Run the app with a simple docker setup
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## Dockerfile
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The repository includes a [Dockerfile](Dockerfile) for building a containerized instance of the app.
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Lookyloo stores the scraped data in /lookyloo/scraped. If you want to persist the scraped data between runs it is sufficient to define a volume for this directory.
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## Running a complete setup with Docker Compose
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Additionally you can start a complete setup, including the necessary Docker instance of splashy, by using
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Docker Compose and the included service definition in [docker-compose.yml](docker-compose.yml) by running
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```
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docker-compose up
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```
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After building and startup is complete lookyloo should be available at [http://localhost:5000/](http://localhost:5000/)
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If you want to persist the data between different runs uncomment the "volumes" definition in the last two lines of
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[docker-compose.yml](docker-compose.yml) and define a data storage directory in your Docker host system there.
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