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# fbcrawl
A Facebook crawler
## TODO
work in progress
## DISCLAIMER
This software is NOT to be used. It violates Facebook's terms and conditions. It is for educational purposes only, to show how a crawler can be made to recursively parse a web page.
## Contribute
Pull requests are welcomed!!

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fbcrawl/items.py Normal file
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# -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# https://doc.scrapy.org/en/latest/topics/items.html
import scrapy
from scrapy.loader.processors import TakeFirst, Join, MapCompose
from datetime import datetime, timedelta
def parse_date(date):
date = date[0].split()
mesi = {
"gennaio":1,
"febbraio":2,
"marzo":3,
"aprile":4,
"maggio":5,
"giugno":6,
"luglio":7,
"agosto":8,
"settembre":9,
"ottobre":10,
"novembre":11,
"dicembre":12
}
mesi_abbr = {
"gen":1,
"feb":2,
"mar":3,
"apr":4,
"mag":5,
"giu":6,
"lug":7,
"ago":8,
"set":9,
"ott":10,
"nov":11,
"dic":12
}
if len(date) == 0:
return "Error: no data"
elif len(date) == 1 or date[1] == 'h': # meaning that date[0] == 'Adesso' or "n hours" ago
day = int(str(datetime.now().date()).split(sep='-')[2])
month = int(str(datetime.now().date()).split(sep='-')[1])
year = int(str(datetime.now().date()).split(sep='-')[0])
elif date[0] == 'Ieri':
day = int(str(datetime.now().date()-timedelta(1)).split(sep='-')[2])
month = int(str(datetime.now().date()).split(sep='-')[1])
year = int(str(datetime.now().date()).split(sep='-')[0])
elif (len(date) == 2 and len(date[1]) == 3) or (len(date) == 4 and len(date[1]) == 3):
day = int(date[0])
month = mesi_abbr[date[1]]
year = int(str(datetime.now().date()).split(sep='-')[0])
elif date[2] != 'alle':
day = int(date[0])
month = mesi[date[1]]
year = int(date[2])
else:
day = int(date[0])
month = mesi[date[1]]
year = int(str(datetime.now().date()).split(sep='-')[0])
date = datetime(year,month,day)
return date.date()
def comments_strip(string):
return string[0].rstrip(" commenti")
def reactions_strip(string):
if len(string) == 1:
string = string[0]
while string.rfind('.') != -1:
string = string[0:string.rfind('.')] + string[string.rfind('.')+1:]
return string
string = string[0].split()
string = string[::-1][0]
while string.rfind('.') != -1:
string = string[0:string.rfind('.')] + string[string.rfind('.')+1:]
return int(string) + 1
class FbcrawlItem(scrapy.Item):
# define the fields for your item here like:
# name = scrapy.Field()
source = scrapy.Field(
output_processor=TakeFirst()
) # page that published the post
date = scrapy.Field( # when was the post published
input_processor=TakeFirst(),
output_processor=parse_date
)
text = scrapy.Field(
output_processor=Join(separator=u'')
) # full text of the post
comments = scrapy.Field(
output_processor=comments_strip
)
commentators = scrapy.Field(
output_processor=Join(separator=u'\n')
)
reactions = scrapy.Field(
output_processor=reactions_strip
) # num of reactions
likes = scrapy.Field(
output_processor=reactions_strip
)
ahah = scrapy.Field()
love = scrapy.Field()
wow = scrapy.Field()
sigh = scrapy.Field()
grrr = scrapy.Field()
share = scrapy.Field() # num of shares
num_id = scrapy.Field() # progressive int associated to the entry in the final table, not present in the webpage
url = scrapy.Field()

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# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
from scrapy.exceptions import DropItem
from datetime import datetime
class FbcrawlPipeline(object):
def process_item(self, item, spider):
if item['date'] < datetime(2017,3,4).date():
raise DropItem("Dropping element because it's older than 04/03/2017")
else:
return item

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# Configure item pipelines
# See https://doc.scrapy.org/en/latest/topics/item-pipeline.html
#ITEM_PIPELINES = {
# 'fbcrawl.pipelines.FbcrawlPipeline': 300,
#'fbcrawl.pipelines.FbcrawlPipeline': 300,
#}
# Enable and configure the AutoThrottle extension (disabled by default)
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#HTTPCACHE_DIR = 'httpcache'
#HTTPCACHE_IGNORE_HTTP_CODES = []
#HTTPCACHE_STORAGE = 'scrapy.extensions.httpcache.FilesystemCacheStorage'
FEED_EXPORT_FIELDS = ["source", "date", "text", "commentators","comments","like", "share"] # specifies the order of the column to export as CSV
FEED_EXPORT_FIELDS = ["source", "date", "text", "reactions","likes","ahah","love","wow","sigh","grrr","comments","url"] # specifies the order of the column to export as CSV
FEED_EXPORT_ENCODING = 'utf-8'
DUPEFILTER_DEBUG = True

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fbcrawl/spiders/fbcrawl.py Normal file
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import scrapy
from scrapy.loader import ItemLoader
from scrapy.http import FormRequest
from fbcrawl.items import FbcrawlItem
class FacebookSpider(scrapy.Spider):
"""
Parse FB pages (needs credentials)
"""
name = "fb"
def __init__(self, email='', password='', page='', **kwargs):
super(FacebookSpider, self).__init__(**kwargs)
if not email or not password:
raise ValueError("You need to provide valid email and password!")
else:
self.email = email
self.password = password
if not page:
raise ValueError("You need to provide a valid page name to crawl!")
else:
self.page = page
self.start_urls = ['https://mbasic.facebook.com']
def parse(self, response):
return FormRequest.from_response(
response,
formxpath='//form[contains(@action, "login")]',
formdata={'email': self.email,'pass': self.password},
callback=self.parse_home
)
def parse_home(self, response):
'''Parse user news feed page'''
if response.css('#approvals_code'):
# Handle 'Approvals Code' checkpoint (ask user to enter code).
if not self.code:
# Show facebook messages via logs
# and request user for approval code.
message = response.css('._50f4::text').extract()[0]
self.log(message)
message = response.css('._3-8y._50f4').xpath('string()').extract()[0]
self.log(message)
self.code = input('Enter the code: ')
self.code = str(self.code)
if not (self.code and self.code.isdigit()):
self.log('Bad approvals code detected.')
return
return FormRequest.from_response(
response,
formdata={'approvals_code': self.code},
callback=self.parse_home,
)
elif response.xpath("//div/input[@value='Ok' and @type='submit']"):
# Handle 'Save Browser' checkpoint.
return FormRequest.from_response(
response,
formdata={'name_action_selected': 'dont_save'},
callback=self.parse_home,
dont_filter=True,
)
elif response.css('button#checkpointSubmitButton'):
# Handle 'Someone tried to log into your account' warning.
return FormRequest.from_response(
response, callback=self.parse_home, dont_filter=True,)
# Else go to the user profile.
href = response.urljoin(self.page)
self.logger.info('Parse function called on %s', href)
return scrapy.Request(
url=href,
callback=self.parse_page,
)
def parse_page(self, response):
for post in response.xpath("//div[contains(@data-ft,'top_level_post_id')]"): #select all posts
self.logger.info('Parsing post %s', post)
new = ItemLoader(item=FbcrawlItem(),selector=post)
new.add_xpath('comments', ".//div/a[contains(text(),'comment')]/text()")
new.add_xpath('url', ".//a[contains(text(),'Notizia completa')]/@href")
post = post.xpath(".//a[contains(text(),'Notizia completa')]/@href").extract() #returns full post-link in a list
temp_post = response.urljoin(post[0])
yield scrapy.Request(temp_post, self.parse_post,dont_filter = True, meta={'item':new})
next_page = response.xpath("//div/a[contains(text(),'Altri')]/@href")
if len(next_page) > 0:
next_page = response.urljoin(next_page[0].extract())
yield scrapy.Request(next_page, callback=self.parse_page)
else:
next_page = response.xpath("//div/a[contains(text(),'2017')]/@href")
if len(next_page) > 0:
next_page = response.urljoin(next_page[0].extract())
yield scrapy.Request(next_page, callback=self.parse_page)
def parse_post(self,response):
new = ItemLoader(item=FbcrawlItem(),response=response,parent=response.meta['item'])
new.add_xpath('source', '//span/strong/a/text() | //div/a/strong/text() | //td/div/h3/strong/a/text()')
new.add_xpath('date', '//div/div/abbr/text()')
new.add_xpath('text','//div[@data-ft]//p//text()')
new.add_xpath('reactions',"//a[contains(@href,'reaction/profile')]/div/div/text()")
reactions = response.xpath("//div[contains(@id,'sentence')]/a[contains(@href,'reaction/profile')]/@href")
reactions = response.urljoin(reactions[0].extract())
yield scrapy.Request(reactions, callback=self.parse_reactions, dont_filter = True, meta={'item':new})
def parse_reactions(self,response):
new = ItemLoader(item=FbcrawlItem(),response=response, parent=response.meta['item'])
new.add_xpath('likes',"//a[contains(@href,'reaction_type=1')]/span/text()")
new.add_xpath('ahah',"//a[contains(@href,'reaction_type=4')]/span/text()")
new.add_xpath('love',"//a[contains(@href,'reaction_type=2')]/span/text()")
new.add_xpath('wow',"//a[contains(@href,'reaction_type=3')]/span/text()")
new.add_xpath('sigh',"//a[contains(@href,'reaction_type=7')]/span/text()")
new.add_xpath('grrr',"//a[contains(@href,'reaction_type=8')]/span/text()")
yield new.load_item()

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# -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# https://doc.scrapy.org/en/latest/topics/items.html
import scrapy
from scrapy.loader.processors import TakeFirst, Join
class FbcrawlItem(scrapy.Item):
# define the fields for your item here like:
# name = scrapy.Field()
source = scrapy.Field() # page that published the post
date = scrapy.Field(
output_processor=TakeFirst()
)
# when was the post published
text = scrapy.Field(
output_processor=Join(separator=u'')
) # full text of the post
comments = scrapy.Field(
output_processor=Join(separator=u'\n')
) # full text of the post
commentators = scrapy.Field(
output_processor=Join(separator=u'\n')
) # full text of the post
like = scrapy.Field() # num of likes
share = scrapy.Field() # num of shares
num_id = scrapy.Field() # progressive int associated to the entry in the final table, not present in the webpage

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# Automatically created by: scrapy startproject
#
# For more information about the [deploy] section see:
# https://scrapyd.readthedocs.io/en/latest/deploy.html
[settings]
default = fbcrawl.settings
[deploy]
#url = http://localhost:6800/
project = fbcrawl

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import scrapy
from datetime import datetime
from scrapy.loader import ItemLoader
from scrapy.http import FormRequest
from fbcrawl.items import FbcrawlItem
class FacebookSpider(scrapy.Spider):
"""
Parse FB pages (needs credentials)
"""
name = "fb"
def __init__(self, email='', password='', til='2004-1-1', **kwargs):
super(FacebookSpider, self).__init__(**kwargs)
til = til.split(sep='-')
self.til = datetime(int(til[0]),int(til[1]),int(til[2]))
self.email = email
self.password = password
self.start_urls = ['https://mbasic.facebook.com']
def parse(self, response):
return FormRequest.from_response(
response,
formxpath='//form[contains(@action, "login")]',
formdata={'email': self.email,'pass': self.password},
callback=self.parse_home
)
def parse_home(self, response):
'''Parse user news feed page'''
if response.css('#approvals_code'):
# Handle 'Approvals Code' checkpoint (ask user to enter code).
if not self.code:
# Show facebook messages via logs
# and request user for approval code.
message = response.css('._50f4::text').extract()[0]
self.log(message)
message = response.css('._3-8y._50f4').xpath('string()').extract()[0]
self.log(message)
self.code = input('Enter the code: ')
self.code = str(self.code)
if not (self.code and self.code.isdigit()):
self.log('Bad approvals code detected.')
return
return FormRequest.from_response(
response,
formdata={'approvals_code': self.code},
callback=self.parse_home,
)
elif response.xpath("//div/input[@value='Ok' and @type='submit']"):
# Handle 'Save Browser' checkpoint.
return FormRequest.from_response(
response,
formdata={'name_action_selected': 'dont_save'},
callback=self.parse_home,
dont_filter=True,
)
elif response.css('button#checkpointSubmitButton'):
# Handle `Someone tried to log into your account` warning.
return FormRequest.from_response(
response, callback=self.parse_home, dont_filter=True,)
# Else go to the user profile.
href = 'https://mbasic.facebook.com/ivacciniealtricomplottileggendari'
self.logger.info('Parse function called on %s', href)
return scrapy.Request(
url=href,
callback=self.parse_page,
)
def parse_page(self, response):
# from scrapy.utils.response import open_in_browser
# open_in_browser(response)
for post in response.xpath("//div[contains(@id,'u_0_')]"):
# self.logger.info('Parse function called on %s', response.url)
# self.logger.info('Parsing page number %d', i)
# from scrapy.utils.response import open_in_browser
# open_in_browser(response)
post = post.xpath("//a[contains(text(),'Notizia completa')]/@href").extract()
#
for i in range(len(post)):
temp_post = response.urljoin(post[i])
yield scrapy.Request(temp_post, self.parse_post,dont_filter = True)
# next_page = response.xpath("//div/a[contains(text(),'Altri')]/@href")
# if len(next_page) > 0:
# next_page = response.urljoin(next_page[0].extract())
# yield scrapy.Request(next_page, callback=self.parse_page)
#
# else:
# next_page = response.xpath("//div/a[contains(text(),'2017')]/@href")
# if len(next_page) > 0:
# next_page = response.urljoin(next_page[0].extract())
# yield scrapy.Request(next_page, callback=self.parse_page)
#
def parse_post(self,response):
new = ItemLoader(item=FbcrawlItem(),response=response)
# from scrapy.utils.response import open_in_browser
# open_in_browser(response)
# # ("//div[string-length(@id)=15 or string-length(@id)=16]")
# new.add_xpath('comments',"//div[string-length(@id)=15 or string-length(@id)=16]//div/text()")
# {}' .format(next_comment_page))
new.add_xpath('source', '//span/strong/a/text()')
new.add_xpath('date', '//div/div/abbr/text()')
new.add_xpath('text','//div[@data-ft]//p//text()')
next_comment_page = response.xpath("//div/div[contains(@id,'see_next')]/a/@href")
while len(next_comment_page) > 0:
next_comment_page = response.urljoin(next_comment_page[0].extract())
yield scrapy.Request(next_comment_page, callback=self.parse_comments, dont_filter = True, \
meta={'new':new})
# self.logger.info('Parsing page number %d', i)
# from scrapy.utils.response import open_in_browser
# open_in_browser(response)0
# new.load_item()
#
# yield new.load_item()
def parse_comments(self,response):
self.logger.info('\n\n PAGINA COMMENTI \n\n')
new = response.meta['new']
new.add_xpath('commentators',"//div[number(@id)>1]/div/h3/a[@href]/text()")
yield new.load_item()

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