Skip to main content

Facebook4j definitely!

I think that the best library to connect to and interact with Facebook from a Java web application is Facebook4j (http://facebook4j.org/en/index.html). I am not a big fan of Facebook, but I needed to interact with the most popular social network and had to search for a solution to this requirement. Facebook4j is an high level Java library for the Facebook Graph API. It doesn't require additional dependencies, it's Open Source and released under the Apache License 2.0 and it has built-in OAuth support. The learning curve is very low and you need just few lines of code to perform any kind of interaction with Facebook. Before moving to Facebook4j I tried also other APIs (among them RestFB and the now deprecated java-facebook-api) and Spring Social. At the end Facebook4j was the best, the most well documented and the easiest to use. I had to discard Spring Social because the application I am working on is not Spring based. This application is hosted on Google App Engine and I easily integrated Facebook4j into the GAE environment without problems.
Labels:

Comments

  1. UnknownApril 9, 2013 at 5:06 PM

    Hi,
    I'm creator of Facebook4J.
    Thank you for the highest eulogy!
    Would you tell me your application which integrated Facebook4J if you don't mind?

    ReplyDelete
    Replies
    1. GooglielmoApril 9, 2013 at 8:12 PM

      Hi Ryiuji,

      Thank you for your effort on developing this high level and helpful Java APIs.
      At present time the project where we easily integrated Facebook4j cannot be revealed yet, but please contact me by mail (guglielmo.iozzia (at) gmail.com) or through Linkedin so I can give you more details privately.

      Delete

Post a Comment

Popular posts from this blog

jOOQ: code generation in Eclipse

jOOQ allows code generation from a database schema through ANT tasks, Maven and shell command tools. But if you're working with Eclipse it's easier to create a new Run Configuration to perform this operation. First of all you have to write the usual XML configuration file for the code generation starting from the database: <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <configuration xmlns="http://www.jooq.org/xsd/jooq-codegen-2.0.4.xsd">   <jdbc>     <driver>oracle.jdbc.driver.OracleDriver</driver>     <url>jdbc:oracle:thin:@dbhost:1700:DBSID</url>     <user>DB_FTRS</user>     <password>password</password>   </jdbc>   <generator>     <name>org.jooq.util.DefaultGenerator</name>     <database>       <name>org.jooq.util.oracle.OracleDatabase</name>     ...
Post a Comment
Read more

Turning Python Scripts into Working Web Apps Quickly with Streamlit

 I just realized that I am using Streamlit since almost one year now, posted about in Twitter or LinkedIn several times, but never wrote a blog post about it before. Communication in Data Science and Machine Learning is the key. Being able to showcase work in progress and share results with the business makes the difference. Verbal and non-verbal communication skills are important. Having some tool that could support you in this kind of conversation with a mixed audience that couldn't have a technical background or would like to hear in terms of results and business value would be of great help. I found that Streamlit fits well this scenario. Streamlit is an Open Source (Apache License 2.0) Python framework that turns data or ML scripts into shareable web apps in minutes (no kidding). Python only: no front‑end experience required. To start with Streamlit, just install it through pip (it is available in Anaconda too): pip install streamlit and you are ready to execute the working de...
12 comments
Read more

TagUI: an Excellent Open Source Option for RPA - Introduction

 Photo by Dinu J Nair on Unsplash Today I want to introduce  TagUI , an RPA (Robotic Process Automation) Open Source tool I am using to automate test scenarios for web applications. It is developed and maintained by the AI Singapore national programme. It allows writing flows to automate repetitive tasks, such as regression testing of web applications. Flows are written in natural language : English and other 20 languages are currently supported. Works on Windows, Linux and macOS. The TagUI official documentation can be found  here . The tool doesn't require installation: just go the official GitHub repository and download the archive for your specific OS (ZIP for Windows, tar.gz for Linux or macOS). After the download is completed, unpack its content in the local hard drive. The executable to use is named  tagui  (.cmd in Windows, .sh for other OS) and it is located into the  <destination_folder>/tagui/src  directory. In order to ...
3 comments
Read more