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Welcome to the Facepager wiki! We are really happy that you want to learn more about automated data collection with Facepager. This wiki will help you to understand the program. First things first: To start your journey with Facepager straight ahead, have a look at the Getting Started section.
With Facepager you can extract data from the web. This may be data from social media platforms or websites. Depending on the website provider, there are three different options:
- interacting with Application Programming Interfaces (APIs),
- Webscraping,
- downloading and uploading media Files.
APIs are provided by platform operators – e.g. Facebook or Twitter. They can be requested and return data in a structured format. Webscraping can be used to extract information from the HTML source code from websites. Downloading files can be useful when the required data is a resource such as an image.
In all of the three cases – APIs, webscraping and downloading files – Facepager assembles URLs to access the data. However, Facepager is not a “one-click-to-get-the-result-program”. You still have to adjust the setting in the Query Setup. So, it is necessary to understand how Facepager works to find solutions according to your needs. This wiki shall help you with understanding Facepager.
To learn about Facepager, have a look at its Basic Concepts.
Now we wish you a lot of fun and great findings! After all, this is the key point!
Jünger, Jakob / Keyling, Till (2018). Facepager. An application for generic data retrieval through APIs. Source code and releases available at https://github.com/strohne/Facepager/.