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How to use visible_texts method in Selene

Best Python code snippet using selene_python

scrape_from_url.py

Source:scrape_from_url.py

1# -*- coding: utf-8 -*-2'This module is used to scrape all texts from classified url'3from bs4 import BeautifulSoup, Comment4from fake_useragent import UserAgent5from urllib.request import urlopen6from urllib.error import URLError7from typing import List, Tuple8from nltk import sent_tokenize9from _socket import gaierror10from pathlib import Path11from tqdm import tqdm12import pandas as pd13import urllib14import pickle15import bs416import re17import os18UNIVERSAL_ENCODING = "utf-8"19def tag_visible(element: bs4.element.ResultSet) -> bool:20    """Filter tags in html21    22    Return False for those invisible contents' tag.23    Return True for visible contents' tag.24    Args:25        element: an bs4.element instance waiting to be filtered.26    Returns:27        False for invisible contents' tag.28        True for visible contents' tag.29    """30    if element.parent.name in ['style', 'script', 'head', 'title', 'meta', '[document]']:31        return False32    if isinstance(element, Comment):33        return False34    return True35def crawl(URL: List[str]) -> Tuple[List[str], List[str]]:36    """Crawl corpus from classified URLs37    Args:38        URL: a list of URL string waiting to be scraped.39    Returns:40        contents: a list of string contents scrapepd from given URLs.41        valid_URL: a list of URL have been scraped and reserve for the convenience of a side-by-side annotating.42    """43    valid_URL = []44    contents = []45    for index, url in enumerate(tqdm(URL)):46        request = urllib.request.Request(url, headers={'User-Agent': UserAgent().random})47        try:48            html = urlopen(request, timeout=10).read().decode('utf-8')49        except gaierror as e:50            print(index, e, url)51            continue52        except URLError as e:53            print(index, e, url)54            continue55        except:56            print("Something else went wrong with", url, "\n")57        soup = BeautifulSoup(html, features='lxml')58        texts = soup.findAll(text=True)59        # Format and clean corpus.60        visible_texts = filter(tag_visible, texts)61        visible_texts = "".join(text for text in visible_texts)62        visible_texts = re.sub(r"(\r)+", "\r", visible_texts)63        visible_texts = re.sub(r"(\n)+", "\n", visible_texts)64        visible_texts = re.sub(r"(\r\n)+", "\n", visible_texts)65        visible_texts = re.sub(r"(\r)+", "\r", visible_texts)66        visible_texts = re.sub(r"(\n)+", "\n", visible_texts)67        visible_texts = re.sub(r"\n(\s)+", "\n", visible_texts)68        visible_texts = re.sub(r"\s\n(\s)*", "\n", visible_texts)69        visible_texts = re.sub(r"\n(\W)+\n", "\n", visible_texts)70        visible_texts = re.sub(r"^(\s)+", "", visible_texts)71        visible_texts = re.sub(r"(\s)+$", "", visible_texts)72        visible_texts = re.sub(r"\. ", ".\n", visible_texts)73        visible_texts = re.sub(r"\w(\. )\w", ".\n", visible_texts)74        sentences = sent_tokenize(visible_texts)75        visible_texts = "\n".join(sentence for sentence in sentences)76        if visible_texts:77            valid_URL.append(url)78            contents.append(visible_texts)79        del visible_texts80    assert len(contents) == len(valid_URL)81    return contents, valid_URL82    83if __name__ == '__main__':84    corpus_folder = Path("../Data/Corpus2/")85    url_folder = Path("../Course_Collected/")86    websites = pd.read_csv(url_folder / "Final.csv")87    contents, scraped_URL = crawl(websites.URL)88    pickle.dump(contents, open(corpus_folder / "content.p", "wb"))89    pickle.dump(scraped_URL, open(corpus_folder / "url.p", "wb"))90    contents = pickle.load(open(corpus_folder / "content.p", "rb"))91    scraped_URL = pickle.load(open(corpus_folder / "url.p", "rb"))92    93    # Save corpus to file94    corpus_index = 095    for content in tqdm(contents):96        file_name = str(corpus_index) + ".txt"97        full_file_path = corpus_folder / file_name98        with open(full_file_path, "w", encoding=UNIVERSAL_ENCODING) as file:99            file.write(content)100        corpus_index += 1101    # Save url list102    url_file_name = "url.txt"103    url_full_file_path = corpus_folder / url_file_name104    file = open(url_full_file_path, "w", encoding=UNIVERSAL_ENCODING)105    for key, value in tqdm(enumerate(scraped_URL)):106        if key != len(scraped_URL) - 1:107            file.write(value + '\n')108        else:109            file.write(value)...

webscrap1.py

Source:webscrap1.py

1import bs4 as bs2from bs4.element import Comment3import urllib.request4import re5import string6from nltk.tokenize import word_tokenize7from sklearn.feature_extraction.stop_words import ENGLISH_STOP_WORDS8#from nltk.stem import WordNetLemmatizer9from heapq import nlargest10import ssl11from time import time12import userAgents13def tag_visible(element):14    if element.parent.name in ['style', 'script', 'head', '[document]']:15        return False16    if isinstance(element, Comment):17        return False18    return True19def text_from_html(body):20    print("in text_from_html")21    soup = bs.BeautifulSoup(body, 'html.parser')22    texts = soup.findAll(text=True)23    visible_texts = filter(tag_visible, texts)24    #print(texts)25    return visible_texts26    #return u" ".join(t.strip() for t in visible_texts)27ctx = ssl.create_default_context()28ctx.check_hostname = False29ctx.verify_mode = ssl.CERT_NONE30ourStopWords = set({"click","view","more","link","forgot","password"})31       32print("imported")33#startTime = time()34def getSiteKeywords(url):35    html=''36    count=037    while(True):38        try:39            req = urllib.request.Request(url,data=None,headers={'User-Agent': userAgents.getRandomUserAgent()})40            html = urllib.request.urlopen(req, context=ctx).read()41            #html = urllib.request.urlopen(url, context = ctx).read()42            break43        #sauce = urllib.request.urlopen(url).read()44        #soup = bs.BeautifulSoup(sauce,'lxml')45        except Exception as e:46            print(e,url)47            if(count==2):48                return []49            count+=150    #print(soup.get_text())51    #print(soup)52    #return None53    #tags = ['a','h1','h2','h3','meta','title','p','div']54    #keywords = []55    #for i in tags :56        #keywords += list(soup.find_all(i))57    58    d = dict()59    #lemmatizer=WordNetLemmatizer()60    removeSpcCharPattern=re.compile('[\W_]+')61    #print(type(html))62    #count=063    for data in text_from_html(html):64        if(len(data)<=2):65            continue66        #print(data,len(data))67        text = data.lower().strip()68        text= removeSpcCharPattern.sub(' ',text)69        text = text.strip()70        text = re.sub(r'\d+', '', text)71        text = re.sub(r"[^\w\s]","",text)72        #text = text.translate(string.maketrans("","", string.punctuation))73        #print(text)74        tokens = word_tokenize(text)75        for i in tokens:76            if not i in ENGLISH_STOP_WORDS | ourStopWords:77                #result = lemmatizer.lemmatize(i)78                result = i79                if(len(result)<=2):80                    continue81                if result not in d:82                    d[result] =  183                else:84                    d[result] += 185        #if(count==20):86            #break87        #count+=188    89    largest50 = nlargest(min(50,len(d)),d, key = d.get)90    return largest5091#print(getSiteKeywords("https://www.itlearn360.com"))92#endTime = time()93#print(endTime - startTime)94"""95from bs4 import BeautifulSoup96from bs4.element import Comment97import urllib.request98import ssl99print("imported")100def tag_visible(element):101    if element.parent.name in ['style', 'script', 'head', '[document]']:102        return False103    if isinstance(element, Comment):104        return False105    return True106def text_from_html(body):107    print("in text_from_html")108    soup = BeautifulSoup(body, 'html.parser')109    texts = soup.findAll(text=True)110    visible_texts = filter(tag_visible, texts)111    #print(texts)112    return u" ".join(t.strip() for t in visible_texts)113url = "https://expired.badssl.com"114#req = urllib.request(url)115#gcontext = ssl.SSLContext()  # Only for gangstars116print("no error")117ctx = ssl.create_default_context()118ctx.check_hostname = False119ctx.verify_mode = ssl.CERT_NONE120html = urllib.request.urlopen(url, context = ctx).read()121#html = urllib.urlopen(req, context=gcontext).read()122print(text_from_html(html))...

download10000files.py

Source:download10000files.py

1import mechanize2import cookielib3import time4import os5import json6from sets import Set7import lxml.html8import codecs9import re10from bs4 import BeautifulSoup11import textwrap12# with codecs.open(file name,'r',encoding='utf8') as f:13#     text = f.read()14# # process Unicode text15def strStr(haystack, needle):16        if len(haystack) < len(needle): return -117        i = 018        while i < len(haystack)-len(needle)+1:19            j = 0; k = i20            while j < len(needle):21                if haystack[k] == needle[j]:22                    j+=1; k+=123                else:24                    break25            if j == len(needle):26                break27            else:28                i+=129        if i == len(haystack)-len(needle)+1:30            return -131        else:32            return i33def remove(visible_texts, needle):34    buffer = ''35    index = -136    index = strStr(visible_texts, needle)37    if index != -1:38        buffer += visible_texts[:index]39        buffer += visible_texts[index + len(needle):]40    else:41        buffer = visible_texts42    return buffer43def visible(element):44    if element.parent.name in ['style', 'script', '[document]', 'head', 'title', 'link', 'a']:45        return False46    return True47def filteralpha(str):48    str = re.sub(r'([^\s\w]|_)+', '', str)49    return " ".join(str.split(' '))50path = os.path.abspath("/Users/Xiaomin/testproject/tutorial/uniquename.txt")51urlfile=open(path, 'r')52listOfUrl = urlfile.read().split('\n')53print(len(listOfUrl))54i = 965955from sys import path56c = os.getcwd()57os.chdir('/Users/Xiaomin/cs410hw2')58for url in listOfUrl:59    cj = cookielib.LWPCookieJar()60    br = mechanize.Browser()61    br.set_cookiejar(cj)62    br.set_handle_equiv(True)63    br.set_handle_gzip(True)64    br.set_handle_redirect(True)65    br.set_handle_referer(True)66    br.set_handle_robots(False)67    br.set_handle_refresh(mechanize._http.HTTPRefreshProcessor(), max_time=1)68    br.set_debug_http(True)69    br.set_debug_redirects(True)70    br.set_debug_responses(True)71    br.open(url)72    st = br.response().read()73    #filename = url['name'].split('?q=')[1].split('&btn')[0]74    t = lxml.html.parse(url)75    title = t.find(".//title").text76    file = open('xxu46_'+ str(i) + '.html', 'wb')77    file.write(st)78    file.close()79    #nonjs = re.subn(r'<(script).*?   </\1>(?s)', '', str(st))[0]80    soup = BeautifulSoup(st)81    texts = soup.findAll(text=True)82    visible_texts = filter(visible, texts)83    visible_texts = ''.join(visible_texts)84    needle = '[if IE]><link rel="stylesheet" type="text/css" href="http://ia.media-imdb.com/images/G/01/imdb/css/site/consumer-navbar-ie-470687728._CB379390980_.css"><![endif]'85    visible_texts = remove(visible_texts, needle)86    needle = '<br>'87    visible_texts = remove(visible_texts, needle)88    needle = '<a href="/register/sharing">enable Facebook sharing</a>'89    visible_texts = remove(visible_texts, needle)90    visible_texts = filteralpha(visible_texts)91    with codecs.open('xxu46_' + str(i) + '.txt', 'w', encoding='utf8') as txt:92        txt.write(url+'\n')93        txt.write(title+'\n')94        txt.write(''.join(visible_texts))95        txt.close()96    i += 197#98#     import urllib99# >>> html = urllib.urlopen('http://www.nytimes.com/2009/12/21/us/21storm.html').read()100#101# >>>102# >>> soup = BeautifulSoup(html)103# >>> texts = soup.findAll(text=True)104# >>>105# >>> def visible(element):106# ...     if element.parent.name in ['style', 'script', '[document]', 'head', 'title']:107# ...         return False108# ...     elif re.match('<!--.*-->', str(element)):109# ...         return False110# ...     return True111# ...112# >>> visible_texts = filter(visible, texts)...

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