loklak is a server application which is able to collect messages from various sources, including twitter. The server contains a search index and a peer-to-peer index sharing interface. All messages are stored in an elasticsearch index. An automatic deployment from the development branch at GitHub is available for tests here https://loklak-server-dev.herokuapp.com

'Lok Lak' is also a very tasty Cambodian stir-fry meat dish (usually beef) with a LOT of fresh black pepper. If you ever have the chance to eat Beef Lok Lak, please try it. I hope not to scare vegetarians with this name, currently I am one as well.

Please join our mailing list to discuss questions regarding the project: https://groups.google.com/forum/#!forum/loklak

Our chat channel is on gitter here: https://gitter.im/loklak/loklak

If you like to be anonymous when searching things, want to archive tweets or messages about specific topics and if you are looking for a tool to create statistics about tweet topics, then you may consider loklak. With loklak you can:

• collect and store a very, very large amount of tweets
• create your own search engine for tweets
• omit authentication enforcement for API requests on twitter
• share tweets and tweet archives with other loklak users
• search anonymously on your own search portal
• create your own tweet search portal or statistical evaluations
• use Kibana to analyze large amounts of tweets for statistical data.

If you want to create an alternative Twitter search portal, the only way would be to use the official Twitter API to retrieve Tweets. But that interface needs an OAuth account and it makes your search portal completely dependent on Twitter's goodwill. The alternative is, to scrape the Tweets from the Twitter HTML search result pages, but Twitter may still lock you out on your IP address. To circumvent this, you need many clients accessing Twitter to scrape search results. This makes it necessary to create a distributed peer-to-peer network of Twitter scrapers which can all organize, store and index Tweets. This solution was created with Loklak.

Best of all: we made this very generic to integrate different microblogging services, so this may be the incubator for an independent short message or Twitter-like platform.

Search portals consist of many components, the most prominent parts are content harvesters to acquire searchable content, a search index which provides fast and efficient access to the data and a search front-end containing the user webpages and result display servlets:

Most search portals differ in the way how they display search results but have the almost same back-end to create the search index. We want to support the creation of message/Twitter search portals but the necessary and most generic part needs to be coded only once, even if we want several or even many different search front-ends:

So it's on you to create a message search portal, but the very hard part for this was already done by us. However, the front-end may also instantly be there (i.e. you can just use :doc:`Kibana <installation/download>`).

Collected messages are processed to two storage targets: an elasticsearch search index and a backup- and transfer dump.

To use as most possible characters in every Tweet message up to 140 characters, links are shortened in all Tweets. First users used independent shortener services but now Twitter shortens even already pre-shortened links again. We remove the shortening of almost all links in the Tweet and reveal the original URL the user has attached to their Tweets. This is very important when archiving Tweets because shorteners may not be available in the future and also gives you another privacy advancement because the shortener services cannot track you for their purposes.

Anonymity is provided with different methods:

• The loklak server does not record client IP-adresses when a search is done, therefore loklak.org, running loklak does also not record or log IP addresses from searchers.

• You can run loklak yourself which gives you complete control over logged things (where no IP addresses are, but whatever).

• Using a scraper, it is possible to break out of Twitter's 'OAuth-Prison', as you don't need an account to harvest Tweets.

  

• If you don't want to search on loklak.org and also don't want to scrape data from Twitter, you can still search in your own index and feed this index with import files from other loklak peers. (Look out for the 'Dumps' menu item in the top right corner.)

  

• The built-in short-link de-shortener protects you from tracking by short-link services, including Twitter and bit.ly.

loklak instances can be connected to each other. If you download loklak and run it unchanged, it connects to loklak.org by default as a back-end peer. You can change this if you want to. This is how connected peers work:

• Whenever a peer aquires new Tweets, it reports these to the back-end for storage. This means that fresh Tweets are stored at four locations: your own Elasticsearch index, your own message dump file and in the remote back-end-peer in the Elasticsearch index and dump file. This causes that all messages that you find are available for download for other users at the back-end which is by default loklak.org.

  

• Whenever a peer starts up, it calls the back-end to announce it's existence. This fills a peer-table in the back-end which everyone can use to retrieve the list of active peers. Therefore everyone can identify peers which may provide message-lists for download.

• Any topology can be achieved when the user changes the host name of the back-end. You can create your own message-sharing network easily.

At this time, loklak is not provided in compiled form, you easily build it yourself. It's not difficult and done in one minute! The source code is hosted at https://github.com/loklak/loklak_server, you can download it and run loklak with:

> git clone https://github.com/loklak/loklak_server.git
> cd loklak_server
> ant
> bin/start.sh

After all server processes are running, loklak tries to open a browser page itself. If that does not happen, just open http:https://localhost:9000; if you made the installation on a headless or remote server, then replace 'localhost' with your server name.

To stop loklak, run: (this will block until the server has actually terminated)

> bin/stop.sh

A self-upgrading process is available which must be triggered by a shell command. Just run:

> bin/upgrade.sh

Nowhere, you must clone the git repository of loklak and build it yourself. That's easy, just do

• git clone https://github.com/loklak/loklak_server.git
• cd loklak
• then see above ("How do I run loklak")

To install loklak with Docker please refer to the loklak Docker installation readme.

You can easily deploy to Heroku by clicking the Deploy to Heroku button above. To install loklak using Heroku Toolbelt, please refer to the loklak Heroku installation readme.

To install loklak with cloud9 please refer to the loklak cloud9 installation readme.

To install loklak on Eclipes, please refer to the loklak Eclipse readme.

• build loklak (you need to do this only once, see above)
• run bin/start.sh
• open http:https://localhost:9000 in your browser
• to shut down loklak, run bin/stop.sh

• sudo npm install -g grunt-cli
• cd into the parent directly of loklak_server
• git clone git:https://github.com/mobz/elasticsearch-head.git
• cd elasticsearch-head
• npm install

Run elasticsearch-head with:

• grunt server ..which opens the administration page at http:https://localhost:9100

The basis configuration file is in conf/config.properties. To customize these settings place a file customized_config.properties to the path data/settings/

The is available at http:https://dev.loklak.org.

Articles and tutorials are also on our blog at http:https://blog.loklak.net.

At http:https://dev.loklak.org/javadoc or by building them via 'ant javadoc'.

Hey, this is the tool for that! Just put http:https://api.loklak.org/api/search.rss?q=%23loklak into your rss reader. Oh wait.. you will get a lot of information about tasty Cambodian food with that as well. Alternatively you may also read the authors timeline using http:https://api.loklak.org/api/search.rss?q=0rb1t3r or just follow @0rb1t3r (that's a zero after the at sign)

• To install Gradle on Ubuntu:

$ sudo add-apt-repository ppa:cwchien/gradle
$ sudo apt-get update
$ sudo apt-get install gradle

• To install Gradle on Mac OS X with homebrew

brew install gradle

Compile the source to classes and a jar file

gradle build

Compiled file can be found in build dir

To remove compiled classes and jar file

gradle clean

LGPL 2.1

This project is considered a community work. The development crew consist of YOU too. I am very thankful for pull request. So if you discovered that something can be enhanced, please do it yourself and make a pull request. If you find a bug, please try to fix it. If you report a bug to me I will possibly consider it but at the very end of a giant, always growing heap of work. The best chance for you to get things done is to try it yourself. Our issue tracker is here.

.. toctree::
   :caption: Home
   :hidden:

   Welcome <self>

.. toctree::
   :caption: Installation
   :hidden:
   :maxdepth: 1

   Download and Installation <installation/download>
   Installation on Linux <installation/installation_linux>
   Installation on macOS <installation/installation_mac>
   Installation on Windows <installation/installation_windows>
   Installation with Docker <installation/installation_docker>
   Installation on Cloud9 <installation/installation_cloud9>
   Installation on Heroku <installation/installation_heroku>
   Video Tutorials <installation/tutorials>

.. toctree::
   :caption: Development
   :hidden:
   :maxdepth: 1

   API <development/api>
   Setup Eclipse <development/eclipseSetup>
   Javadoc <https://dev.loklak.org/javadoc>

.. toctree::
   :caption: Miscellaneous
   :hidden:
   :maxdepth: 1

   Architecture <misc/architecture>
   Parsers <misc/parsers>