def parse(self, response):
review_t = response.xpath("//tr[@class='br']")
for i in review_t:
Site = i.xpath('./td/div/a/text()').extract()
Facility_Area = i.xpath('(./td)[2]/text()').extract()
SiteType = i.xpath('(./td)[3]/text()').extract()
Maximum_Number_of_People = i.xpath('(./td)[4]/text()').extract()
Equiplength_or_Driveway = i.xpath('(./td)[5]/text()').extract()
Pets = i.xpath(
"(./td/div[@class='amenitiesicons']/img)[3]/@title").extract()
item = National_Park_ProjectItem()
item['ParkName'] = ['Acadia']
item['Location'] = ['Blackwoods Campground']
item['Longtitude'] = ['-68.210843']
item['Latitude'] = ['44.313131']
item['Stars'] = ['4.5']
item['Reviews'] = ['3479']
item['Site'] = Site
item['Facility_Area'] = Facility_Area
item['SiteType'] = SiteType
item['Maximum_Number_of_People'] = Maximum_Number_of_People
item['Equiplength_or_Driveway'] = Equiplength_or_Driveway
item['Pets'] = Pets
yield item
def parse(self,response):
review_t = response.xpath("//tr[@class='br']")
for i in review_t:
Site = i.xpath('./td/div/a/text()').extract()
Facility_Area = i.xpath('(./td)[2]/text()').extract()
SiteType = i.xpath('(./td)[3]/text()').extract()
Maximum_Number_of_People = i.xpath('(./td)[4]/text()').extract()
Equiplength_or_Driveway = i.xpath('(./td)[5]/text()').extract()
Pets =i.xpath("(./td/div[@class='amenitiesicons']/img)[3]/@title").extract()
item = National_Park_ProjectItem()
item['ParkName']=['Rocky Mountain']
item['Location']= ['Aspenglen Campground']
item['Longtitude']= ['-105.59269']
item['Latitude']= ['40.400306']
item['Stars'] = ['4.6']
item['Reviews'] = ['802']
item['Site'] = Site
item['Facility_Area'] = Facility_Area
item['SiteType'] =SiteType
item['Maximum_Number_of_People'] = Maximum_Number_of_People
item['Equiplength_or_Driveway'] = Equiplength_or_Driveway
item['Pets'] = Pets
yield item
def parse(self, response):
review_t = response.xpath("//tr[@class='br']")
for i in review_t:
Site = i.xpath('./td/div/a/text()').extract()
Facility_Area = i.xpath('(./td)[2]/text()').extract()
SiteType = i.xpath('(./td)[3]/text()').extract()
Maximum_Number_of_People = i.xpath('(./td)[4]/text()').extract()
Equiplength_or_Driveway = i.xpath('(./td)[5]/text()').extract()
Pets = i.xpath(
"(./td/div[@class='amenitiesicons']/img)[3]/@title").extract()
item = National_Park_ProjectItem()
item['ParkName'] = ['Great Smoky Mountain']
item['Location'] = ['Anthony Creek house Camp']
item['Longtitude'] = ['-83.76636']
item['Latitude'] = ['35.601777']
item['Stars'] = ['4.3']
item['Reviews'] = ['12']
item['Site'] = Site
item['Facility_Area'] = Facility_Area
item['SiteType'] = SiteType
item['Maximum_Number_of_People'] = Maximum_Number_of_People
item['Equiplength_or_Driveway'] = Equiplength_or_Driveway
item['Pets'] = Pets
yield item
def parse(self, response):
review_t = response.xpath("//tr[@class='br']")
for i in review_t:
#top_list = response.xpath('//*[@id="HEADING"]/text()').extract()
#rating = response.xpath('//*[@id="taplc_location_detail_overview_attraction_0"]/div[1]/div[2]/div[2]/div[2]/div[1]/span/text()').extract_first()
Site = i.xpath('./td/div/a/text()').extract()
Facility_Area = i.xpath('(./td)[2]/text()').extract()
SiteType = i.xpath('(./td)[3]/text()').extract()
Maximum_Number_of_People = i.xpath('(./td)[4]/text()').extract()
Equiplength_or_Driveway = i.xpath('(./td)[5]/text()').extract()
Pets = i.xpath(
"(./td/div[@class='amenitiesicons']/img)[3]/@title").extract()
#for review in reviews:
# raw_review = review.xpath('.//div[@class="review-body with-review-wrapper"]/text()').extract()
# raw_review = ''.join(raw_review).strip()
item = National_Park_ProjectItem()
item['ParkName'] = ['Yosemite']
item['Location'] = ['Crane Flat Campground']
item['Longtitude'] = ['-119.799632']
item['Latitude'] = ['37.748084']
item['Stars'] = ['3.9']
item['Reviews'] = ['1797']
item['Site'] = Site
item['Facility_Area'] = Facility_Area
item['SiteType'] = SiteType
item['Maximum_Number_of_People'] = Maximum_Number_of_People
item['Equiplength_or_Driveway'] = Equiplength_or_Driveway
item['Pets'] = Pets
yield item
def parse(self, response):
review_t = response.xpath("//tr[@class='br']")
for i in review_t:
Site = i.xpath('./td/div/a/text()').extract()
Facility_Area = i.xpath('(./td)[2]/text()').extract()
SiteType = i.xpath('(./td)[3]/text()').extract()
Maximum_Number_of_People = i.xpath('(./td)[4]/text()').extract()
Equiplength_or_Driveway = i.xpath('(./td)[5]/text()').extract()
Pets = i.xpath(
"(./td/div[@class='amenitiesicons']/img)[3]/@title").extract()
item = National_Park_ProjectItem()
item['ParkName'] = ['GrandCanyon']
item['Location'] = ['Mather CampGround']
item['Longtitude'] = ['-112.12115']
item['Latitude'] = ['36.050649']
item['Stars'] = ['4.6']
item['Reviews'] = ['7010']
item['Site'] = Site
item['Facility_Area'] = Facility_Area
item['SiteType'] = SiteType
item['Maximum_Number_of_People'] = Maximum_Number_of_People
item['Equiplength_or_Driveway'] = Equiplength_or_Driveway
item['Pets'] = Pets
yield item
def parse(self,response):
review_t = response.xpath("//tr[@class='br']")
for i in review_t:
Site = i.xpath('./td/div/a/text()').extract()
Facility_Area = i.xpath('(./td)[2]/text()').extract()
SiteType = i.xpath('(./td)[3]/text()').extract()
Maximum_Number_of_People = i.xpath('(./td)[4]/text()').extract()
Equiplength_or_Driveway = i.xpath('(./td)[5]/text()').extract()
Pets =i.xpath("(./td/div[@class='amenitiesicons']/img)[3]/@title").extract()
item = National_Park_ProjectItem()
item['ParkName']=['Cuyahoga Valley']
item['Location']= ['Cuyahoga Valley National Park Picnic Shelters']
item['Longtitude']= ['-81.567812']
item['Latitude']= ['41.280825']
item['Stars'] = ['4.7']
item['Reviews'] = ['80']
item['Site'] = Site
item['Facility_Area'] = Facility_Area
item['SiteType'] =SiteType
item['Maximum_Number_of_People'] = Maximum_Number_of_People
item['Equiplength_or_Driveway'] = Equiplength_or_Driveway
item['Pets'] = Pets
yield item
def parse(self, response):
review_t = response.xpath("//tr[@class='br']")
for i in review_t:
Site = i.xpath('./td/div/a/text()').extract()
Facility_Area = i.xpath('(./td)[2]/text()').extract()
SiteType = i.xpath('(./td)[3]/text()').extract()
Maximum_Number_of_People = i.xpath('(./td)[4]/text()').extract()
Equiplength_or_Driveway = i.xpath('(./td)[5]/text()').extract()
Pets = i.xpath(
"(./td/div[@class='amenitiesicons']/img)[3]/@title").extract()
item = National_Park_ProjectItem()
item['ParkName'] = ['Joshua Tree']
item['Location'] = ['Sheep Pass Group']
item['Longtitude'] = ['-116.119909']
item['Latitude'] = ['33.999682']
item['Stars'] = ['4.8']
item['Reviews'] = ['68']
item['Site'] = Site
item['Facility_Area'] = Facility_Area
item['SiteType'] = SiteType
item['Maximum_Number_of_People'] = Maximum_Number_of_People
item['Equiplength_or_Driveway'] = Equiplength_or_Driveway
item['Pets'] = Pets
yield item
def parse(self,response):
review_t = response.xpath("//tr[@class='br']")
for i in review_t:
Site = i.xpath('./td/div/a/text()').extract()
Facility_Area = i.xpath('(./td)[2]/text()').extract()
SiteType = i.xpath('(./td)[3]/text()').extract()
Maximum_Number_of_People = i.xpath('(./td)[4]/text()').extract()
Equiplength_or_Driveway = i.xpath('(./td)[5]/text()').extract()
Pets =i.xpath("(./td/div[@class='amenitiesicons']/img)[3]/@title").extract()
item = National_Park_ProjectItem()
item['ParkName']=['Olympic']
item['Location']= ['Sol Duc Hot Springs Resort Campground']
item['Longtitude']= ['-123.863497']
item['Latitude']= ['47.970112']
item['Stars'] = ['4.1']
item['Reviews'] = ['924']
item['Site'] = Site
item['Facility_Area'] = Facility_Area
item['SiteType'] =SiteType
item['Maximum_Number_of_People'] = Maximum_Number_of_People
item['Equiplength_or_Driveway'] = Equiplength_or_Driveway
item['Pets'] = Pets
yield item
def parse(self, response):
review_t = response.xpath("//tr[@class='br']")
for i in review_t:
Site = i.xpath('./td/div/a/text()').extract()
Facility_Area = i.xpath('(./td)[2]/text()').extract()
SiteType = i.xpath('(./td)[3]/text()').extract()
Maximum_Number_of_People = i.xpath('(./td)[4]/text()').extract()
Equiplength_or_Driveway = i.xpath('(./td)[5]/text()').extract()
Pets = i.xpath(
"(./td/div[@class='amenitiesicons']/img)[3]/@title").extract()
item = National_Park_ProjectItem()
item['ParkName'] = ['Olympic']
item['Location'] = ['Kalaloch']
item['Longtitude'] = ['-124.371019']
item['Latitude'] = ['47.605654']
item['Stars'] = ['4.5']
item['Reviews'] = ['1307']
item['Site'] = Site
item['Facility_Area'] = Facility_Area
item['SiteType'] = SiteType
item['Maximum_Number_of_People'] = Maximum_Number_of_People
item['Equiplength_or_Driveway'] = Equiplength_or_Driveway
item['Pets'] = Pets
yield item
def parse(self,response):
review_t = response.xpath("//tr[@class='br']")
for i in review_t:
Site = i.xpath('./td/div/a/text()').extract()
Facility_Area = i.xpath('(./td)[2]/text()').extract()
SiteType = i.xpath('(./td)[3]/text()').extract()
Maximum_Number_of_People = i.xpath('(./td)[4]/text()').extract()
Equiplength_or_Driveway = i.xpath('(./td)[5]/text()').extract()
Pets =i.xpath("(./td/div[@class='amenitiesicons']/img)[3]/@title").extract()
item = National_Park_ProjectItem()
item['ParkName']=['Yosemite']
item['Location']= ['Hodgdon Headow']
item['Longtitude']= ['-119.86614']
item['Latitude']= ['37.798252']
item['Stars'] = ['3.8']
item['Reviews'] = ['1302']
item['Site'] = Site
item['Facility_Area'] = Facility_Area
item['SiteType'] =SiteType
item['Maximum_Number_of_People'] = Maximum_Number_of_People
item['Equiplength_or_Driveway'] = Equiplength_or_Driveway
item['Pets'] = Pets
yield item
def parse(self, response):
review_t = response.xpath(
'//table[starts-with(@class,"wikitable")]//tr')
for i in review_t:
ParkName = i.xpath('.//th/a/@title').extract_first()
Location = i.xpath('.//td[2]/a/@title').extract_first()
#Longtitude = i.xpath('.//tr//td[2]/small/span/span/a/span[3]/span/span/text()').extract()
Number_of_Visitors = i.xpath('.//td[5]//text()').extract_first()
#Equiplength_or_Driveway = i.xpath('(./td)[5]/text()').extract()
#Pets =i.xpath("(./td/div[@class='amenitiesicons']/img)[3]/@title").extract()
item = National_Park_ProjectItem()
item['ParkName'] = ParkName
item['Location'] = Location
item['Number_of_Visitors'] = Number_of_Visitors
#item['Latitude']= ['37.739442']
#item['Stars'] = ['4.5']
#item['Reviews'] = ['879']
#item['Site'] = Site
#item['Facility_Area'] = Facility_Area
#item['SiteType'] =SiteType
#item['Maximum_Number_of_People'] = Maximum_Number_of_People
#item['Equiplength_or_Driveway'] = Equiplength_or_Driveway
#item['Pets'] = Pets
yield item
