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How to use parse_details method in tempest
Best Python code snippet using tempest_python
scraper.py
Source:scraper.py 
...15 links_de_la_pagina = []16 for url in links_productos:17 links_de_la_pagina = response.urljoin(url)18 yield scrapy.Request(url=links_de_la_pagina, callback=self.parse_details, dont_filter=True)19 def parse_details(self, response):20 title = response.xpath('//h1//text()').extract()21 text = response.xpath('//div[@class="col-12 col-md-9 "]//p/a/text()').extract()22 foto = response.xpath('//div[@class = "[ img-fluid ]"]//img//@src').extract()23 foto = foto[2]24 url = response.xpath('//link[@rel = "canonical"]/@href').extract()25 fecha = response.xpath('//span[@class="tout-timestamp"]//time/text()').extract()26 # write output file27 with open('scraper.jsonl', 'a') as f:28 f.write(json.dumps({'title': title, 'text': text, 'foto': foto, 'url': url, 'fecha' : fecha}, indent=2) + '\n')29class Inmo(scrapy.Spider):30 name = 'Inmo'31 def start_requests(self):32 # reset output file33 with open('scraper.jsonl', 'w') as f:34 f.write(' ')35 yield scrapy.Request('https://inmobiliare.com/ultimas-noticias/', callback=self.parse)36 def parse(self, response):37 links_productos = response.xpath('//li[@class = "mvp-blog-story-col left relative infinite-post"]/a/@href').extract()38 links_productos = links_productos[:4]39 links_de_la_pagina = []40 for url in links_productos:41 links_de_la_pagina = response.urljoin(url)42 yield scrapy.Request(url=links_de_la_pagina, callback=self.parse_details, dont_filter=True)43 def parse_details(self, response):44 title = response.xpath('//h1/text()').extract()45 text = response.xpath('//div[@id="mvp-post-feat-text-wrap"]//h1/text()').extract()46 foto = response.xpath('//figure//img//@data-wpfc-original-src').extract()47 foto = foto[0]48 url = response.xpath('//meta[@name = "twitter:url"]/@content').extract()49 fecha = response.xpath('//time//@datetime').extract()50 # write output file51 with open('scraper.jsonl', 'a') as f:52 f.write(json.dumps({'title': title, 'text': text, 'foto': foto, 'url': url, 'fecha': fecha}, indent=2) + '\n')53class obras(scrapy.Spider):54 name = 'obras'55 def start_requests(self):56 # reset output file57 with open('scraper.jsonl', 'w') as f:58 f.write(' ')59 yield scrapy.Request('https://obras.expansion.mx/inmobiliario?utm_source=internal&utm_medium=link-recommended', callback=self.parse)60 def parse(self, response):61 links_productos = response.xpath('//div[@class="Page-pageLead"]//h3//a//@href').extract()62 links_de_la_pagina = []63 for url in links_productos:64 links_de_la_pagina = response.urljoin(url)65 yield scrapy.Request(url=links_de_la_pagina, callback=self.parse_details, dont_filter=True)66 def parse_details(self, response):67 title = response.xpath('//div[@class="BlocksPage-mainHead"]/h1/text()').extract()68 text = response.xpath('//article[@class = "first-block"]/p/text()').extract()69 foto = response.xpath('//figure[@class = "ArticleLeadFigure"]/img/@data-src').extract()70 url = response.xpath('//link[@rel = "canonical"]/@href').extract()71 fecha = response.xpath('//article//div[@class = "BlocksPage-datePublished"]//text()').extract()72 # write output file73 with open('scraper.jsonl', 'a') as f:74 f.write(json.dumps({'title': title, 'text': text, 'foto': foto, 'url': url, 'fecha': fecha}, indent=2) + '\n')75class lifeRS(scrapy.Spider):76 name = 'lifeRS'77 def start_requests(self):78 # reset output file79 with open('scraper.jsonl', 'w') as f:80 f.write(' ')81 yield scrapy.Request('https://lifehacker.com/tag/real-estate', callback=self.parse)82 def parse(self, response):83 links_productos = response.xpath('//figure//a//@href').extract()84 links_productos = links_productos[:4]85 links_de_la_pagina = []86 for url in links_productos:87 links_de_la_pagina = response.urljoin(url)88 yield scrapy.Request(url=links_de_la_pagina, callback=self.parse_details, dont_filter=True)89 def parse_details(self, response):90 title = response.xpath('//h1//text()').extract()91 text = response.xpath('//div[@class = "r43lxo-0 gqfcxx js_post-content"]//p//text()').extract()92 foto = response.xpath('//div[@class= "sc-1eow4w5-3 lktKQM image-hydration-wrapper"]//img//@data-srcset').extract()93 foto = ' '.join(foto)94 foto = foto.split("w,")95 foto = foto[4]96 foto = foto.split()97 foto = foto[0]98 url = response.xpath('//meta[@name ="twitter:url"]//@content').extract()99 fecha = response.xpath('//time//text()').extract()100 fecha = fecha[0]101 # write output file102 103 with open('scraper.jsonl', 'a') as f:104 f.write(json.dumps({'title': title, 'text': text, 'foto': foto, 'url': url, 'fecha': fecha}, indent=2) + '\n')105class lifeHO(scrapy.Spider):106 name = 'lifeHO'107 def start_requests(self):108 # reset output file109 with open('scraper.jsonl', 'w') as f:110 f.write(' ')111 yield scrapy.Request('https://lifehacker.com/tag/home-office', callback=self.parse)112 def parse(self, response):113 links_productos = response.xpath('//figure//a//@href').extract()114 links_productos = links_productos[:4]115 links_de_la_pagina = []116 for url in links_productos:117 links_de_la_pagina = response.urljoin(url)118 yield scrapy.Request(url=links_de_la_pagina, callback=self.parse_details, dont_filter=True)119 def parse_details(self, response):120 title = response.xpath('//h1//text()').extract()121 text = response.xpath('//div[@class = "r43lxo-0 gqfcxx js_post-content"]//p//text()').extract()122 foto = response.xpath('//div[@class= "sc-1eow4w5-3 lktKQM image-hydration-wrapper"]//img//@data-srcset').extract()123 foto = ' '.join(foto)124 foto = foto.split("w,")125 foto = foto[4]126 foto = foto.split()127 foto = foto[0]128 url = response.xpath('//meta[@name ="twitter:url"]//@content').extract()129 fecha = response.xpath('//time//text()').extract()130 fecha = fecha[0]131 # write output file132 133 with open('scraper.jsonl', 'a') as f:134 f.write(json.dumps({'title': title, 'text': text, 'foto': foto, 'url': url, 'fecha': fecha}, indent=2) + '\n')135class MYL(scrapy.Spider):136 name = 'MYL'137 def start_requests(self):138 # reset output file139 with open('scraper.jsonl', 'w') as f:140 f.write(' ')141 yield scrapy.Request('http://realestatemarket.com.mx/mercado-inmobiliario', callback=self.parse)142 def parse(self, response):143 links_productos = response.xpath('//div[@class = "sprocket-mosaic-image-container"]//a//@href').extract()144 links_productos = links_productos[:4]145 links_de_la_pagina = []146 for url in links_productos:147 links_de_la_pagina = response.urljoin(url)148 yield scrapy.Request(url=links_de_la_pagina, callback=self.parse_details, dont_filter=True)149 def parse_details(self, response):150 title = response.xpath('//h2[@itemprop = "headline"]//text()').extract()151 text = response.xpath('//div[@itemprop = "articleBody"]//text()').extract()152 foto = response.xpath('//img[@itemprop = "image"]//@src').extract()153 foto = ' '.join(foto)154 foto = "http://realestatemarket.com.mx" + foto155 foto = foto.split()156 url = response.xpath('//base//@href').extract()157 fecha = response.xpath('//time//text()').extract()158 # write output file159 160 with open('scraper.jsonl', 'a') as f:161 f.write(json.dumps({'title': title, 'text': text, 'foto': foto, 'url': url, 'fecha': fecha}, indent=2) + '\n')162class MGlobal(scrapy.Spider):163 name = 'MGlobal'164 def start_requests(self):165 # reset output file166 with open('scraper.jsonl', 'w') as f:167 f.write(' ')168 yield scrapy.Request('https://www.mansionglobal.com/luxury-real-estate-news', callback=self.parse)169 def parse(self, response):170 links_productos = response.xpath('//h3//a//@href').extract()171 links_de_la_pagina = []172 for url in links_productos:173 links_de_la_pagina = response.urljoin(url)174 yield scrapy.Request(url=links_de_la_pagina, callback=self.parse_details, dont_filter=True)175 def parse_details(self, response):176 title = response.xpath('//h1//text()').extract()177 title = title[0]178 text = response.xpath('//div[@id= "mg-article-wrap"]//p//text()').extract()179 foto = response.xpath('//img//@src').extract()180 foto = foto[0]181 foto = foto.split()182 url = response.xpath('//link[@rel = "canonical"]//@href').extract()183 fecha = response.xpath('//time//text()').extract()184 # write output file185 186 with open('scraper.jsonl', 'a') as f:187 f.write(json.dumps({'title': title, 'text': text, 'foto': foto, 'url': url, 'fecha': fecha}, indent=2) + '\n')188class curbed(scrapy.Spider):189 name = 'curbed'190 def start_requests(self):191 # reset output file192 with open('scraper.jsonl', 'w') as f:193 f.write(' ')194 yield scrapy.Request('https://www.curbed.com/real-estate/', callback=self.parse)195 def parse(self, response):196 links_productos = response.xpath('//div[@class = "lede-text-wrap has-rubric long"]//a//@href').extract()197 links_de_la_pagina = []198 for url in links_productos:199 links_de_la_pagina = response.urljoin(url)200 yield scrapy.Request(url=links_de_la_pagina, callback=self.parse_details, dont_filter=True)201 def parse_details(self, response):202 title = response.xpath('//h1//text()').extract()203 text = response.xpath('//div[@class ="article-content inline"]//p//text()').extract()204 foto = response.xpath('//picture//img//@src').extract()205 foto = foto[0]206 foto = foto.split()207 url = response.xpath('//link[@rel= "canonical"]//@href').extract()208 fecha = response.xpath('//time//span//text()').extract()209 # write output file210 211 with open('scraper.jsonl', 'a') as f:212 f.write(json.dumps({'title': title, 'text': text, 'foto': foto, 'url': url, 'fecha': fecha}, indent=2) + '\n')213# main driver214if __name__ == '__main__':215 #run scraper...
theculturetrip.py
Source:theculturetrip.py
...70 def parse_json(self, response):71 for url in response.body['data']:72 self.scrolled_article.append(url['postID'])73 yield scrapy.Request(url=url['links'], callback=self.parse_details)74 def parse_details(self, response):75 jres = re.findall('\{\".*\:\{.*\:.*\}', response.body.decode("utf-8"))76 jres = json.dumps(jres[0])77 # print('')78 # print(jres)79 # self.i = self.i + 180 # print('')81 item = TheculturetripItem()82 item['topic'] = "theculturetrip"83 item['data'] = jres.encode('utf-8')84 yield item85 # with open('test.json', 'w') as outfile:...
ecab_spider.py
Source:ecab_spider.py
...9 link_list = response.xpath('//article//h1//a//@href').extract()10 self.log(f"responselink_list {link_list}")11 for link in link_list:12 yield scrapy.Request(link, callback=self.parse_details)13 def parse_details(self, response):14 item = {}15 self.log(f"parse_details(): response data url {response.url}")16 info = []17 # scrape title18 title = response.xpath('//*[@class="page-_comment-title"]//@title').extract_first()19 self.log(f"parse_details(): title {title}")20 phone = response.xpath('//*[@class="info-box"]//div[contains(text(), "Phone")]/span/text()').extract_first()21 email = response.xpath('//*[@class="info-box"]//div[contains(text(), "Email")]/span/text()').extract_first()22 url = response.xpath('//*[@class="info-box"]//div[contains(text(), "URL")]//span//a//text()').extract_first()23 owner_name = response.xpath('//*[@class="info-box"]//div[contains(text(), "Owner Name")]/span/text()').extract_first()24 owner_designation = response.xpath('//*[@class="info-box"]//div[contains(text(), "Owner Designation")]/span/text()').extract_first()25 address = response.xpath('//*[@class="info-box"]//div[contains(text(), "Address")]/span/text()').extract_first()26 # scrape info27 data_list = response.xpath('//*[@class="info-box"]//div//text()').extract()28 self.log(f"parse_details(): data {data_list}")29 key_list = []30 value_list = []31 for count, i in enumerate(data_list):32 self.log(f"data count {count}")33 if count % 2 == 0:34 # key = data_list[count]35 # value = data_list[count + 1]36 # item.add(key, value)37 # self.log(f"item key {item[data_list[count]]}")38 key_list.append(data_list[count])39 else:40 value_list.append(data_list[count])41 42 ...
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