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Facebook Data Retrieval On Per-Account Basis

This project received 2 bids from talented freelancers with an average bid price of $200 AUD.

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Employer working
Project Budget
$30 - $250 AUD
Total Bids
2
Project Description

High-level use case
* Want to take public data from social media site FACEBOOK for a given Personal Account, and retain it.
* Conceptually, if one was to look up a given Personal Account whilst logged into Facebook, then have all this data web-scraped
* Want this to only occur with the full consent of the owner of the Personal Account

Methods:
Don't want to build a system based upon web-scraping. Two main approaches considered:
(A) Connect to the API of a social media data aggregator who can perform this function;
(B) Connect to Facebook (eg, via OpenGraph API) and extract this data. It is assumed this solution would involve building a Facebook App

(A) will not be pursued, because no suitable intermediary was found. For this reason, (B) is being approached.

Technical Spec:
High-Level
* Build a Facebook App which gives obtains a user's consent and facilitates a login.
* Then downloads personal data from a FB user's account
* The app is essentially a "thin client" (obtain login authentication), most logic ideally handled externally (eg, server-side)
* Provide full documentation and explanation in order to be able to hand this project over to someone else

Details
* Handover to be provided to someone familiar with many programming languages (C++, Assembler, Java, VBA, Python), but most proficient in Java/Eclipse.
* Language to be used ideally Java, however solutions also considered would be: Python, Ruby, JavaScript. Hybrid solutions also considered (eg, Java-server, JavaScript-client). Main consideration is pragmatism and minimisation of maintenance going forward.
* Output to be one of (whatever you find easiest):
-> XML (potentially with images/BLOBs as separate files, instead of Base64-encoded data in XML)
-> Input into a MySQL DB
-> Input into a Amazon-based data storage solution

The most important consideration is the solution of the High-level use case. All lower-level technical details are open for further consideration/discussion.

Important to understand what data will be retrieved by your solution. (eg, Personal Account user details, wall content: text, images, videos, posts by others, comments, users comments on other accounts, etc)

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