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scrapping pole emploi comme un pro
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| # -*- coding: utf-8 -*- | |
| # encoding: utf--8 | |
| from random import shuffle | |
| from pyquery import PyQuery as P | |
| from archery.bow import Daikyu as mdict, ExpDict as edict | |
| from archery import cos | |
| import requests | |
| from json import dumps, loads, load | |
| from xml.dom import minidom | |
| import textwrap | |
| import re | |
| from time import sleep | |
| from os import environ as env, makedirs, path, startfile as sf, walk | |
| import string | |
| from functools import reduce | |
| HEADER = u"""<html lang="fr"> | |
| <head> | |
| <link href="data:image/x-icon;base64,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" rel="icon" type="image/x-icon" /> | |
| <style> | |
| @import url(http://fonts.googleapis.com/css?family=Crimson+Text); | |
| body { | |
| font-family:'Crimson Text', 'Georgia', serif !important; | |
| font-size: 20px; | |
| color: #000; } | |
| a { | |
| margin-left:.3em; color:#003; | |
| text-decoration:none; | |
| border-bottom: 1px dashed black; | |
| border-radius:0 | |
| } | |
| .new::before { | |
| content: "! "; | |
| color: yellow; | |
| text-shadow:rgba(0,0,0,.6) 2px 2px 0px; | |
| font-weight: bold; | |
| } | |
| a:visited { color:#123;} | |
| h1 { font-size:100%; font-weight:normal } | |
| .numero { visibility:hidden } | |
| li { list-style: none;padding-top:.1em; padding-bottom:.1em;padding-left:2em; padding-right:2em; } | |
| tr:nth-child(odd) > td, li:nth-child(odd) { | |
| background: #ccc; border-radius:.6em; | |
| } | |
| li:nth-child(even), tr:nth-child(even)> td { | |
| background: white; border-radius:.6em; | |
| } | |
| .entete:first-child { | |
| margin-top:1.59em; | |
| } | |
| .entete > div { | |
| margin-left:10em; | |
| } | |
| pre .caca { | |
| background-color:#adcd0d; | |
| } | |
| .poo { | |
| width:32px; | |
| height:32px; | |
| display:inline-block; | |
| margin-left:0 !important; | |
| background-image: url(data:image/png;base64,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); | |
| } | |
| pre > b { | |
| background-color:yellow; | |
| } | |
| .entete { | |
| text-shadow: rgba(0,0,0,.6) .08em .08em 1px; | |
| margin-left:.5em; display:block; margin-top:.1em; | |
| margin-bottom:3px; border-radius: 15px;background:#46A;color:white; | |
| padding:.1em;font-size: 1.3em;text-align:center ; border-bottom:0px; border-bottom:0px; | |
| } | |
| .footer { z-index:4;margin: auto;margin-left:-.5em; | |
| background:#46A;color:white;padding:.2em;font-size: .8em; | |
| text-align:center; position:fixed; top:0px;width:100%; } | |
| </style> | |
| <title>127.0.0.1 suss Heim</title> | |
| <script src='http://code.jquery.com/jquery-latest.min.js' type='text/javascript' ></script> | |
| <script> | |
| $( document ).ready( function() { | |
| var col = [ "#66a", "#76a", "#86a", "#96a", "#86a", | |
| "#76a", "#66a", "#56a" ]; | |
| var coll =col.length; | |
| $(".entete").next().hide(); | |
| var tt = $(".entete"); | |
| for(var i = 0; i<tt.length;i++) { | |
| $($(".entete")[i]).css("background-color",col[i%coll]) | |
| } | |
| $(function() { | |
| $(".entete").click( function() { | |
| $(this).next().toggle(); | |
| } ) } | |
| ); | |
| } ) | |
| </script> | |
| </head> | |
| <body> | |
| <div class=footer>What The Fuck Public Licence v3.14159 jul //<a | |
| href=http://gist.github.com/jul/6652373>source</a> //<a | |
| name=top onclick='$(window).scrollTop(0)'>haut | |
| </a> | |
| </div> | |
| <div style="width:90%;margin-top:-.4em;margin-left:auto; margin-right:auto"> | |
| """ | |
| def set_at(a_dict, path): | |
| here = a_dict | |
| for p in path[:-2]: | |
| here = here[p] | |
| here[path[-2]]=path[-1] | |
| def get_at(a_dict, path): | |
| here = a_dict | |
| for p in path: | |
| here = here[p] | |
| return here | |
| class Mapper(object): | |
| def __init__(self): | |
| with open("./france.html", "r") as f: | |
| Mapper.map_template = f.read() | |
| def __call__(self, title, _color): | |
| color = mdict(_color.copy()) * 1.0 | |
| color /= max(color.values()) / 255 | |
| print( color) | |
| color = { "%02d" % int(k[:2]) : "#%02x%02xFF" % (int(v),int(v)) for k,v in color.items()} | |
| temp_file = path.join(Serializer.BASE_STORAGE, "carte.html") | |
| pp(color) | |
| with open(temp_file, "w") as f: | |
| f.write(Mapper.map_template % dict(color=dumps(color, indent=4), title = title)) | |
| ff(temp_file[:-5]) | |
| mad_mapper=Mapper() | |
| def detect_smell(offer): | |
| to_detect = mdict( | |
| viandard = {'pour': 0.4860371364786036, 'compte': 0.4860371364786036, | |
| 'recherchons': 0.2430185682393018, 'recrutons': 0.2430185682393018, | |
| 'recherche': 0.2430185682393018, 'recrute': 0.2430185682393018, | |
| 'grand': 0.2430185682393018, 'client': 0.4819187497721559}, | |
| startup = {'agile': 0.26767933940178323, | |
| 'ambiance': 0.12785717026283078, | |
| 'convivial': 0.13383966970089162, | |
| 'conviviale': 0.12785717026283078, | |
| 'esprit': 0.13383966970089162, | |
| 'innovation': 0.13383966970089162, | |
| 'nosql': 0.13383966970089162, | |
| 'scrum': 0.26767933940178323, | |
| 'soirées': 0.13383966970089162, | |
| 'start-up': 0.5353586788035665, | |
| 'startup': 0.669198348504458}, | |
| elitiste = { | |
| "ingénieur" : .25, | |
| "BAC+5" : .25, | |
| "rigueur": .25, | |
| "autonomie" : .25, | |
| }, | |
| ) | |
| stack = [] | |
| for p in edict(offer): | |
| cosinus = mdict() | |
| if "description" == p[-2]: | |
| vword = word_count(p[-1]) | |
| for smell, vect in to_detect.items(): | |
| cosinus += mdict({smell : round(cos(mdict(vword),mdict(vect)),4)}) | |
| stack+= [ p[:-2] + ("smell", cosinus) ] | |
| for p in stack: | |
| set_at(offer, p) | |
| # print (p) | |
| tw = lambda s : textwrap.fill(s, width=80,replace_whitespace=False,break_long_words=False,) | |
| pp = lambda s: print(dumps(s, indent=4)) | |
| pretty = lambda el: minidom.parseString("<html>%s</html>" % el.html() ).toprettyxml().replace("\t", " ") | |
| MARKER = object() | |
| ff = lambda offer: sf(Serializer.get_base_path(offer) + ".html") | |
| class Serializer(object): | |
| BASE_STORAGE = path.join(env.get("HOME", "~"), "cache_offre") | |
| file_hit_miss = [0,0] | |
| l1_hit_miss = [0,0] | |
| L1 = edict() | |
| HIT=0 | |
| MISS=1 | |
| MISSED_CONTENT = (MARKER, MARKER) | |
| @staticmethod | |
| def get_base_path(id_str): | |
| return path.join(Serializer.BASE_STORAGE, id_str[-2:], id_str) | |
| @staticmethod | |
| def retrieve(offer_id): | |
| content, meta = MARKER, MARKER | |
| if offer_id in Serializer.L1: | |
| Serializer.l1_hit_miss[Serializer.HIT] += 1 | |
| return Serializer.L1[offer_id] | |
| Serializer.l1_hit_miss[Serializer.MISS] += 1 | |
| try: | |
| with open(Serializer.get_base_path(offer_id) + ".html") as f: | |
| content = f.read() | |
| with open(Serializer.get_base_path(offer_id) + ".json") as f: | |
| meta = mdict(loads(f.read())) | |
| Serializer.L1[offer_id] = (content, meta) | |
| except Exception as e: | |
| Serializer.file_hit_miss[Serializer.MISS]+=1 | |
| raise KeyError(offer_id) | |
| Serializer.file_hit_miss[Serializer.HIT]+=1 | |
| return content, meta | |
| @staticmethod | |
| def stat(): | |
| l1_hit, l1_miss = Serializer.l1_hit_miss | |
| file_hit, file_miss = Serializer.file_hit_miss | |
| print(""" | |
| L1 hit/miss = %.2f (%d/%d) | |
| file hit/miss = %.2f (%d/%d) | |
| """ % ( | |
| l1_hit +l1_miss and l1_hit/(l1_hit +l1_miss) *100 or -1.0, l1_hit, l1_miss, | |
| file_hit +file_miss and file_hit/(file_hit +file_miss) *100 or -1.0, file_hit, file_miss, | |
| )) | |
| @staticmethod | |
| def store(offer_id, offer_content, meta=MARKER): | |
| if offer_id not in Serializer.L1: | |
| file_prefix = Serializer.get_base_path(offer_id) | |
| try: | |
| makedirs(path.split(file_prefix)[0]) | |
| except Exception as e: | |
| pass | |
| with open(file_prefix + ".html", "wt") as f: | |
| f.write(pretty(offer_content)) | |
| if not meta is MARKER: | |
| with open(file_prefix + ".json", "wt") as f: | |
| f.write(dumps(meta, indent=4)) | |
| class CompetenceFormat( object ): | |
| def __init__( self ): | |
| self.num = 0 | |
| def __call__( self, match ): | |
| self.num+=1 | |
| return "<b>%s (%d)</b>" % (match.groupdict()["requis"],self.num) | |
| def reformateur(a_dict, key, what, _with): | |
| nb=0 | |
| for k in key: | |
| txt = a_dict.get(k,"") | |
| txt, tnb = re.subn( | |
| what, | |
| _with, | |
| txt, | |
| flags=re.I | |
| ) | |
| a_dict[k] = txt | |
| nb+=tnb | |
| return nb | |
| def read_offer(el, url): | |
| pas_formation = "NC" | |
| try: | |
| text = el.text() | |
| annonce = mdict(**re.search(r""" | |
| (Publi|Actualis).\ le\s(?P<actualise>\d+\ [a-z]+\ \d{4,4}) | |
| .*offre\ n.\ (?P<offre>\S+)[\n.]* | |
| .* | |
| Type\ de\ contrat\n | |
| (?P<type_contrat>[^\n]+) | |
| .* | |
| Salaire\n | |
| (?P<salaire>[^\n]+) | |
| .* | |
| Exp.rience\n | |
| (?P<experience>[^\n]+) | |
| .* | |
| #(Informations\ compl.mentaires\n)? | |
| #(?P<complement>.*)$ | |
| """, text, re.DOTALL|re.M|re.X).groupdict()) | |
| formation = re.search(r"""(Formation)\n | |
| (?P<formation>[^\n]+)? | |
| """, text, re.DOTALL| re.M| re.X) | |
| offre = annonce["offre"] | |
| annonce += formation and formation.groupdict() or mdict(formation = pas_formation) | |
| except Exception as e: | |
| raise(e) | |
| annonce = mdict({ annonce["offre"] : mdict( | |
| description = P(".description",el).text().replace(" -", "\n -") +\ | |
| "\n" + annonce.get("formation", pas_formation), | |
| titre = P("h2.t2.title", el).text(), | |
| url = url, | |
| local = Serializer.get_base_path(annonce["offre"])+ ".html", | |
| niveau = P(P("h4.t6 + ul > li > span", el)[0]).text(), | |
| habilete = "\n- ".join(P(i).text() for i in P("h4.t6 + ul > li > span", el)[1:]), | |
| ) + mdict(annonce) | |
| }) | |
| numereur = CompetenceFormat() | |
| nb_requis = reformateur(annonce[offre], {"habilete",}, | |
| r"""(?P<requis>[\n^].*)(Ce|Cette)( \S+ )(est )(indispensable|éxigé)""", | |
| numereur, | |
| ) | |
| nb_caca = reformateur(annonce[offre], {"habilete", "description"}, | |
| r"""([^a-zA-Z0-9_])(?P<langage>VB|digitale?|un de nos clients|C\+\+|BAC\+5|C#|PHP\d|PHP|Java|alternance|stage|SSII|grands? comptes?|renforcer|J2EE|Javascript|\.net|cobol|angular|start\-up|STB|android|savoir..?etre|diplomatie|stress|wordpress|photoshop|backbone|flexible|agile|scrum|conviviale?|fun|ios|react|cloud|symfony|MS\-?SQL|mysql|MySql|MYSQL|INTERIM|mission à pourvoir)([^a-zA-Z0-9_])""", | |
| r"""\1<b class=caca>\g<langage></b>\3""" | |
| ) | |
| reformateur(annonce[offre], {"habilete", "description"}, | |
| r"""(\W)(?P<langage>postgres|jquery|python|Perl|VHDL)(\W)""", | |
| r"""\1<b >\g<langage></b>\3""" | |
| ) | |
| #from pdb import set_trace | |
| ##raise(e) | |
| #set_trace() | |
| annonce[offre]["exigence"] = nb_requis | |
| annonce[offre]["caca"] = '<div class=poo ></div>' * ( nb_caca + ( nb_requis > 10 and (nb_requis -10) or 0)) | |
| return annonce | |
| class PagedResearch(object): | |
| PREF=dict( | |
| offresPartenaires = "false", | |
| rayon=0, | |
| tri = 1, | |
| emission=3, | |
| ) | |
| base_url="https://candidat.pole-emploi.fr/" | |
| template_path = "/offres/recherche" + \ | |
| ":afficherplusderesultats/%(begin)d-%(end)d" | |
| def __init__(self, **research): | |
| self.research = PagedResearch.PREF.copy() | |
| self.research.update(research) | |
| self.rank = mdict(begin=0,end=9) | |
| self.cookies = None | |
| self.templlate_url = PagedResearch.base_url + PagedResearch.template_path | |
| def get_offers(self): | |
| sleep(.01) | |
| url = self.current_url = self.templlate_url % self.rank | |
| headers = self.rank["begin"] and {"X-Requested-With" : "XMLHttpRequest"} or dict() | |
| req = requests.post( | |
| ## no requests, dont url encode my arguments | |
| ## this is a french website that does not understand web standards | |
| url + "?" + "&".join("%s=%s" % (k,v) for k,v in self.research.items()), | |
| headers = headers, | |
| #params = self.research, | |
| cookies = self.cookies, | |
| ) | |
| self.rank+=10 | |
| self.cookies = req.cookies | |
| page = P(req.text) | |
| page.make_links_absolute(base_url=PagedResearch.base_url) | |
| job = P(".media a",page) | |
| link = { P(j).attr("href") for j in job } | |
| link = { l for l in link if "pole-emploi.fr/offres/recherche/detail" in l} | |
| return link | |
| recherche = PagedResearch(lieux=63113) | |
| a= recherche.get_offers() | |
| def word_count( unicode_text ): | |
| exclude = set(string.punctuation) - { "+", } | |
| def clean(exlcude): | |
| def _clean(word): | |
| return ''.join(ch for ch in word if ch not in exclude) | |
| return _clean | |
| sp_pattern = re.compile( """[\.\!\"\s\-\,\']+""", re.M) | |
| res = mdict() | |
| for word in map( clean(exclude), | |
| map( str.lower, sp_pattern.split(unicode_text )) | |
| ): | |
| res += mdict({ word : 1 }) | |
| return res | |
| def parse_page(link): | |
| res = edict() | |
| to_show=False | |
| for annonce in link: | |
| offer_id = annonce.split("/")[-1] | |
| meta = None | |
| try: | |
| content, meta_offer = Serializer.retrieve(offer_id) | |
| print(".",end='') | |
| #backward correction | |
| meta_offer[list(meta_offer.keys())[0]] += mdict( | |
| formation="", fresh="") | |
| meta_offer[list(meta_offer.keys())[0]]["caca"] = "" | |
| except KeyError as e: | |
| sleep(.01) | |
| print("*",end='') | |
| content = P( annonce) | |
| content = P(".modal-details-offre > .modal-dialog > .modal-content-container > .modal-body",content) | |
| meta_offer = read_offer(content, annonce) | |
| content.prepend("<a href=%s>Lien original</a><br>" % annonce) | |
| content.append("<pre>%s</pre>" % dumps(meta_offer, indent=4)) | |
| Serializer.store(offer_id, content, meta_offer) | |
| meta_offer[list(meta_offer.keys())[0]]["fresh"]="new" | |
| to_show= True | |
| meta_offer[list(meta_offer.keys())[0]]["description"] = tw(meta_offer[list(meta_offer.keys())[0]]["description"] ) | |
| titre = meta_offer[list(meta_offer.keys())[0]]["titre"] | |
| #print(titre) | |
| #FILTRE vire aussi javascript | |
| #if 0 and "java" in titre.lower() or "php" in titre.lower(): | |
| # print("pouha %s" % titre) | |
| # pp(meta_offer) | |
| #else: | |
| # res += meta_offer | |
| res += meta_offer | |
| detect_smell(res) | |
| return res | |
| #res= parse_page(a) | |
| #res+=parse_page(recherche.get_offers()) | |
| #pp(res) | |
| #pp(sum(mdict({v["titre"] : 1}) for k, v in res.items() )) | |
| #e=edict(res) | |
| lf = lambda res: print("\n".join([ tw(""" | |
| %(titre)s (%(actualise)s) | |
| -------------------------------------------------------------------------------- | |
| %(url)s | |
| %(local)s | |
| -------------------------------------------------------------------------------- | |
| %(description)s | |
| -------------------------------------------------------------------------------- | |
| #""" % i) for i in res.values() ])) | |
| def mhs(res): | |
| if not res or not len(res): | |
| print("Nothing to show") | |
| return MARKER | |
| temp_file = path.join(Serializer.BASE_STORAGE, "session.html") | |
| with open(temp_file, "w") as f: | |
| f.write(HEADER + "\n".join([tw(""" | |
| <h1 class="entete %(fresh)s" >%(titre)s <i>(%(actualise)s)</i> %(caca)s %(smell)r</h1> | |
| <ul> | |
| <li> | |
| <a href="%(url)s" target="_blank">sur le site</a><br/> | |
| <a href="file:///%(local)s" target="_blank">En cache</a><br/> | |
| <pre style="white-space: pre-wrap; font-family:monospace;width: 72em"> | |
| -------------------------------------------------------------------------------- | |
| %(description)s | |
| -------------------------------------------------------------------------------- | |
| %(habilete)s | |
| </pre> | |
| %(formation)s | |
| <br/> | |
| </li> | |
| </ul>""") % i for i in res.values() | |
| ]) + "</body></html>") | |
| sf(temp_file) | |
| prod = lambda *l : reduce(lambda x,y: x*y,l) | |
| #d= prod(map(lambda s: word_count(s[-1]),filter(lambda p : "description" in p, e))) | |
| filter_wc = lambda e: True | |
| def action_wc(subtree, tree, accumulator): | |
| desc = subtree['description'] | |
| key = "common" if "python" not in subtree["titre"].lower() else "python" | |
| accumulator +=edict({ key : word_count(desc)}) | |
| def add_me(s,t,a): a+=t | |
| def add_and_corr(s,t,a): | |
| t[list(t.keys())[0]] += mdict(formation="") | |
| a+=t | |
| def cache_search(_filter, _action): | |
| accumulator= edict() | |
| many=0 | |
| for root, subFolders, files in walk(Serializer.BASE_STORAGE): | |
| for _file in files: | |
| if _file.endswith(".json"): | |
| with open( path.join(root, _file)) as f: | |
| tree= edict(load(f)) | |
| detect_smell(tree) | |
| subtree=list(tree.values())[0] | |
| if _filter(subtree): | |
| many+=1 | |
| print("." * (many%10==0),end='') | |
| _action(subtree, tree, accumulator) | |
| return accumulator | |
| def load_cache(function=MARKER): | |
| return cache_search( | |
| lambda e: True, | |
| function is MARKER and add_me or function | |
| ) | |
| class Search(object): | |
| prev_offer = MARKER | |
| fake_news = 0 | |
| real_news = 0 | |
| def next(self, batch=MARKER, show=True): | |
| batch = batch is MARKER and 2 or batch | |
| res = mdict() | |
| while batch: | |
| loaded_job_offer=self.crawler.get_offers() | |
| loaded_job_offer = dict(map(lambda l:(l.split("/")[-1],l) , loaded_job_offer)) | |
| self.presented_last_session = len(set(loaded_job_offer)) | |
| new=set(map( | |
| lambda of_id: loaded_job_offer[of_id], | |
| set(loaded_job_offer) - set(Search.prev_offer.keys() ) | |
| )) | |
| Search.fake_news +=len(set(loaded_job_offer)) | |
| Search.real_news += len(new) | |
| batch -= 1 | |
| res += parse_page(new) | |
| #Search.prev_offer+=res | |
| self.session+=res | |
| if show: | |
| mhs(res) | |
| else: | |
| return res | |
| def flush(self): | |
| self.session = mdict() | |
| def __init__(self, what, **detail): | |
| self.what, self.opt = what, detail | |
| if Search.prev_offer is MARKER: | |
| print("loading cache") | |
| Search.prev_offer = load_cache() | |
| print("\n%d elements loaded" % len(Search.prev_offer)) | |
| self.presented_last_session = 0 | |
| self.crawler = PagedResearch(motsCles=what,**detail) | |
| self.flush() | |
| sud_region = [ "76R", "75R" ] | |
| sud = list(map(lambda e: e+"D", set("83 06 04 84 30 34 11 06 09 31 85 84 40 32 82 " | |
| "81 12 48 07 26 13 84 26 07 43 15 12 46 47 33 24 19 63 42 69 38 73 74 05 39 " | |
| "71 21 58 18 36 23 19 87 16 17 85 79 37 36 18 88".split()))) | |
| shuffle(sud) | |
| class gatling(object): | |
| mad_mapper=Mapper() | |
| stat = mdict() | |
| def continuous_fire(self): | |
| while True: | |
| self.next() | |
| def burst(self): | |
| self.next() | |
| def next(self): | |
| so_far=mdict() | |
| remaining_try = min(30,max(10, 2*len(self.lieux))) | |
| last_stat=0 | |
| if len(self.internal) == len(self.depleted): | |
| pp(self.stat) | |
| Serializer.stat() | |
| print("Offre supposées nouvelles,vraiment nouvelles %4d/%4d" % (Search.fake_news, Search.real_news)) | |
| raise Exception("offers depleted") | |
| while len(so_far) < 10 and remaining_try and len(self.internal) > len(self.depleted): | |
| while self.lieux[self.cursor] in self.depleted: | |
| print("(%s) " % self.lieux[self.cursor], end="") | |
| self.cursor = (self.cursor + 1) % len(self.internal) | |
| current = self.internal[self.cursor] | |
| here = self.lieux[self.cursor] | |
| print(here, end=" ") | |
| so_far += current.next(1,False) | |
| if not current.presented_last_session: | |
| print("--%s "% here,end="") | |
| self.depleted |= { here } | |
| gatling.stat += mdict( { here : len(so_far) - last_stat }) | |
| last_stat = len(so_far) | |
| self.cursor = (self.cursor + 1) % len(self.internal) | |
| remaining_try -=1 | |
| if not remaining_try: | |
| print("reuse .next() we already scanned a lot (avoiding blacklisting)") | |
| Serializer.stat() | |
| pp(self.stat) | |
| print("Offre supposées nouvelles,vraiment nouvelles %4d/%4d" % (Search.fake_news, Search.real_news)) | |
| mad_mapper(self.wut + repr(self.opt), self.stat) | |
| mhs(so_far) | |
| def __init__(self, wut, lieux, **opt): | |
| self.cursor = 0 | |
| self.wut = wut | |
| self.opt = opt | |
| self.lieux = lieux | |
| self.internal = [] | |
| self.depleted = set() | |
| for l in lieux: | |
| opt["lieux"]= l | |
| self.internal += [ Search(wut,**opt) ] | |
| #res_word_count = { k[:-1]:k[-1] for k in cache_search(filter_wc, action_wc).search(lambda p: p[-1]>20)} | |
| #python = cache_search(lambda t: "python" in t["titre"].lower() , add_and_corr) | |
| fast = lambda kw,**opt: mhs(parse_page(PagedResearch(motsCles=kw,**opt).get_offers())) | |
| # [ P(i).text() for i in P("h2, h1, h3,h4,h6 ", j) ] | |
| # [ P(i).text() for i in P("h2 + * , h1 + *, h3 + *,h4 + *,h5 + *, h6 + * ", j) ] | |
| # from xml.dom import minidom | |
| # print( minidom.parseString("<html>" + j.html() + "</html>").toprettyxml().replace("\t", " ")) |
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