webcrawler/spacetime-crawler4py-master/scraper.py

167 lines
6.6 KiB
Python

from distutils.filelist import findall
from operator import truediv
import re
import time
import urllib.request
from urllib import robotparser
from urllib.parse import urlparse
from urllib.parse import urljoin
from bs4 import BeautifulSoup
from robotsokay import *
def scraper(url, resp):
links = extract_next_links(url, resp)
links_valid = set()
valid_links = open("valid_links.txt",'a')
invalid_links = open("invalid_links.txt",'a')
tic = time.perf_counter()
for link in links:
if is_valid(link):
links_valid.add(link)
valid_links.write(link + "\n")
else:
invalid_links.write("From: " + url + "\n")
invalid_links.write(link + "\n")
pass
toc = time.perf_counter()
#print(f"Took {toc - tic:0.4f} seconds to validate !!!")
return links_valid
def extract_next_links(url, resp):
# Implementation required.
# url: the URL that was used to get the page
# resp.url: the actual url of the page
# resp.status: the status code returned by the server. 200 is OK, you got the page. Other numbers mean that there was some kind of problem.
# resp.error: when status is not 200, you can check the error here, if needed.
# resp.raw_response: this is where the page actually is. More specifically, the raw_response has two parts:
# resp.raw_response.url: the url, again
# resp.raw_response.content: the content of the page!
# Return a list with the hyperlinks (as strings) scrapped from resp.raw_response.content
pages = set()
if resp.status == 200:
#do stuff
soup = BeautifulSoup(resp.raw_response.content,'lxml')
#tempFile = open("test.txt", 'a')
#Getting all the links, href = true means at least theres a href value, dont know what it is yet
for link in soup.find_all('a', href=True):
#There is a lot of relative paths stuff here gotta add them
href_link = link.get('href')
#Relative path
##Suprisingly index fail safe
#some <a href> give //thenlink.com...
if href_link.startswith("//"):
href_link = href_link[2:]
#Relative path fixing
if(href_link.startswith("/")):
href_link = urljoin(url,href_link)
if(href_link.startswith("www.")):
href_link = "https://" + href_link
#skipping query with specific actions which mutate the websites and cause a trap
if "do=" in href_link:
continue
# don't know if this is too expensive, otherwise idk
# takes parsed url and if not ok on robots goes next, else we can write file
"""
#For now robot checking too time expensive and incorrectly implemented
parsed = urlparse(href_link)
tic = time.perf_counter()
print(parsed)
if not robots_are_ok(parsed):
continue
toc = time.perf_counter()
print(f"Took {toc - tic:0.4f} seconds to robots_are_ok !!!")
"""
#tempFile.write(href_link + "\n")
#Adding to the boi wonder pages
pages.add(href_link)
else:
print("Page error !")
return pages
#*.ics.uci.edu/*
#*.cs.uci.edu/*
#*.informatics.uci.edu/*
#*.stat.uci.edu/*
#today.uci.edu/department/information_computer_sciences/*
def is_valid(url):
# Decide whether to crawl this url or not.
# If you decide to crawl it, return True; otherwise return False.
# There are already some conditions that return False.
try:
#Gotta check if they are in the domain
parsed = urlparse(url)
url_parsed_path = parsed.path.lower() # this may help speed things up a little bit (less calls to parsed.path)
if parsed.scheme not in set(["http", "https"]):
return False
elif re.match(
r".*\.(css|js|bmp|gif|jpe?g|ico"
+ r"|png|tiff?|mid|mp2|mp3|mp4"
+ r"|wav|avi|mov|mpeg|ram|m4v|mkv|ogg|ogv|pdf"
+ r"|ps|eps|tex|ppt|pptx|doc|docx|xls|xlsx|names"
+ r"|data|dat|exe|bz2|tar|msi|bin|7z|psd|dmg|iso"
+ r"|epub|dll|cnf|tgz|sha1"
+ r"|thmx|mso|arff|rtf|jar|csv"
+ r"|rm|smil|wmv|swf|wma|zip|rar|gz)$",parsed.path.lower()):
return False
elif not re.match(
r".*ics.uci.edu/.*"
+ r"|.*cs.uci.edu/.*"
+ r"|.*informatics.uci.edu/.*"
+ r"|.*stat.uci.edu/.*"
+ r"|today.uci.edu/department/information_computer_sciences/.*",url):
return False
elif parsed.fragment:
return False
#ics.uci.edu accepts physics ... So we gotta get rid of it same with eecs and cs
if re.match(
r".*physics.uci.edu/.*"
+ r"|.*eecs.uci.edu/.*",url) :
return False
# https://support.archive-it.org/hc/en-us/articles/208332963-Modify-crawl-scope-with-a-Regular-Expression
# length check for looping filters and queries (could add hash check for similarity or regex, but don't know if we want to as this works well enought)
# we can adjust it based on what the cralwer does as well
if len(url) > 250:
return False
# this fixes any search box that keeps going page to page, currenty allow a depth of 2 filters
if re.match(r".*(&filter%.*){3,}",url_parsed_path):
return False
# this is for urls which when opened, download a file (do we want to download these files and tokenize them)
# elif re.match(r"^.*\&format=(\D{3,4})\Z$",url_parsed_path):
# return False
# another looping directory check but more advanced than the one contained in is_a_trap
if re.match(r"^.*?(/.+?/).*?\1.*$|^.*?/(.+?/)\2.*$",url_parsed_path):
return False
# extra directories check (we can add as we find)
if re.match(r"^.*(/misc|/sites|/all|/themes|/modules|/profiles|/css|/field|/node|/theme){3}.*$", url_parsed_path):
return False
# calendar checks plus adding or downloading calendar (ical)
if re.match(r"^.*calendar.*$",url_parsed_path):
return False
if parsed.query.find('ical') != -1:
return False
else:
return True
except TypeError:
print ("TypeError for ", parsed)
raise