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README.md
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README.md
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Fbcrawl is an advanced crawler for Facebook, written in python, based on the [Scrapy](https://scrapy.org/) framework.
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## DONATIONS
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Fbcrawl is free software. It is not "free as beer" nor "free as speech", it is "free as a toilet": it is always available and working, but someone as to keep it clean and tidy, and I am the only one at the moment, it is not a community project. Please consider make a donation, it will keep this project alive and if I see actual interest from people I will get on with the TODO list. One of the my long-term goal is to refactor the framework with a gui, connections to databases and graph vizualitations. These tasks would take at least a couple of months of work, and I will be able to afford them only with your support! Thank you :)
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Fbcrawl is free software. It is not "free as beer" nor "free as speech", it is "free as a toilet": it is always available and working, but someone as to keep it clean and tidy, and I am the only one at the moment, it is not a community project. Please consider make a donation, it will keep this project alive and if I see actual interest from people I will get on with the [TODO](https://github.com/rugantio/fbcrawl/blob/master/README.md#TODO) list. One of the my long-term goal is to refactor the framework with a gui, connections to databases and graph vizualitations. These tasks would take at least a couple of months of work, and I will be able to afford them only with your support! Thank you :)
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[![paypal](https://www.paypalobjects.com/en_US/IT/i/btn/btn_donateCC_LG.gif)](https://www.paypal.com/cgi-bin/webscr?cmd=_donations&business=G96T8U8W7UZDL¤cy_code=EUR&source=url)
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@ -149,22 +149,37 @@ scrapy crawl comments -a email="EMAILTOLOGIN" -a password="PASSWORDTOLOGIN" -a p
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Make sure that the `page` option is a proper post link, that begins with the pagename and is accessible from mbasic.facebook.com.
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# TODO
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~~Comments and commentators are naively parsed~~
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* ~~write a spyder that crawls all the metadata possible~~
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Number of comments is wrong, it only counts direct comments and not reply comments, because that's how `mbasic.facebook.com` works. Also the number of shares is not retrieved. To fix both of these issues:
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The crawler only works in italian:
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* add english interface support
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The number of shares is not retrieved, it is not available in `mbasic.facebook.com`. Also the number of comments field only counts direct comments and not reply comments, because that's how mbasic works. To fix both of these issues:
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* extract URL of post and use m.facebook.com to retrieve these data
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At the moment crawling starts from the beginning of 2017, it needs to go back until 2004:
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Improve feature extraction. Not all metadata are crawled:
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* scrape reactions from comments
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Some other interesting features can be derived. Comments and commentators can be related better to post and page:
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* count comments from same commentator under a post
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* add features representing connections between commentators (-> reply-to, <- replied-to)
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Crawling starts from the beginning of 2017, it needs to go back until 2004:
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* write appropriate recursive functions in parse_page
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* set two parameters at runtime (**from** ant **until**) in \__init__
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* memorize datetime in a local variable in parsing method and check that datetime in the post respect the period, otherwise stop crawling
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* this is faster than using the pipeline but might not be as accurate, so change pipelines.py and settings.py accordingly
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The crawler works only in italian:
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Better handling of data:
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* merge comments and posts and use JSON instead of CSV
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* add postgresql pipeline for simple CSV
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* add mongodb pipeline for more complex JSON
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* add english interface support
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Integrate data visualization:
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* display reactions and other features (comments, shares etc.) as timeseries
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* add networkx or graph-tools support to display connections (features as links) between posts and people (nodes)
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* inegrate gephi or save out to gephi
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Comments and commentators are naively parsed:
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* write a spyder that crawls all the metadata possible
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The script is not very user friendly:
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* create a gui using pyqt
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