I am trying to scrape the following website: https://www.climatempo.com.br/climatologia/558/saopaulo-sp. It has a two drop-down menu with the second depending on the first, so I choose to use scrapy and splash via scrapy-splash.
I need to automate the change of location by selecting first the state, then the city. I tried SplashFormRequest but I am not being able to change the cities list. My spider is (prints for debugging):
import scrapy
from scrapy_splash import SplashRequest, SplashFormRequest
class ExampleSpider(scrapy.Spider):
name = 'climatologia'
def start_requests(self):
urls = ['https://www.climatempo.com.br/climatologia/558/saopaulo-sp']
for url in urls:
yield SplashRequest(url=url, callback=self.parse,
endpoint='render.html',
args={'wait': 0.5},)
def parse(self, response):
print(response.url)
state = response.css("select.slt-geo")[0].css("option::attr(value)").extract()
print(state)
return SplashFormRequest(response.url, method='POST',
formdata={'sel-state-geo': 'SP'},
callback=self.state_selected,
args={'wait': 0.5})
def state_selected(self, response):
print('\t:+)\t:+)\t:+)\t:+)\t:+)\t:+)')
print(response.css("select.slt-geo")[0].css("option::text").extract())
print(response.css("select.slt-geo")[1].css("option::text").extract())
This is a job that I would suggest Selenium for if you absolutely must use the sites menus. The only way to script Splash is through LUA scripts. You would have to send to the execute end point and create a LUA script. I found the options you were trying to select but not where to submit the form or how it functions on the site. I did have to translate to english.
My suggestion is to look in the browser inspector for end points like this is one of several which look particularly interesting:
https://www.climatempo.com.br/json/busca-estados
This endpoint gives json like follows
{"success":true,"message":"Resultados encontrados","time":"2017-11-30 16:05:20","totalRows":null,"totalPages":null,"page":null,"data":[{"idlocale":338,"idstate":31,"uf":"AC","state":"Acre","region":"N","latitude":null,"longitude":null},{"idlocale":339,"idstate":49,"uf":"AL","state":"Alagoas","region":"NE","latitude":null,"longitude":null},{"idlocale":340,"idstate":41,"uf":"AM","state":"Amazonas","region":"N","latitude":null,"longitude":null},{"idlocale":341,"idstate":30,"uf":"AP","state":"Amap\u00e1","region":"N","latitude":null,"longitude":null},{"idlocale":342,"idstate":56,"uf":"BA","state":"Bahia","region":"NE","latitude":null,"longitude":null},{"idlocale":343,"idstate":44,"uf":"CE","state":"Cear\u00e1","region":"NE","latitude":null,"longitude":null},{"idlocale":344,"idstate":47,"uf":"DF","state":"Distrito Federal","region":"CO","latitude":null,"longitude":null},{"idlocale":345,"idstate":45,"uf":"ES","state":"Esp\u00edrito Santo","region":"SE","latitude":null,"longitude":null},{"idlocale":346,"idstate":54,"uf":"GO","state":"Goi\u00e1s","region":"CO","latitude":null,"longitude":null},{"idlocale":347,"idstate":52,"uf":"MA","state":"Maranh\u00e3o","region":"NE","latitude":null,"longitude":null},{"idlocale":348,"idstate":53,"uf":"MG","state":"Minas Gerais","region":"SE","latitude":null,"longitude":null},{"idlocale":349,"idstate":39,"uf":"MS","state":"Mato Grosso do Sul","region":"CO","latitude":null,"longitude":null},{"idlocale":350,"idstate":40,"uf":"MT","state":"Mato Grosso","region":"CO","latitude":null,"longitude":null},{"idlocale":351,"idstate":50,"uf":"ND","state":"N\u00e3o Aplic\u00e1vel","region":"ND","latitude":null,"longitude":null},{"idlocale":352,"idstate":55,"uf":"PA","state":"Par\u00e1","region":"N","latitude":null,"longitude":null},{"idlocale":353,"idstate":37,"uf":"PB","state":"Para\u00edba","region":"NE","latitude":null,"longitude":null},{"idlocale":354,"idstate":29,"uf":"PE","state":"Pernambuco","region":"NE","latitude":null,"longitude":null},{"idlocale":355,"idstate":33,"uf":"PI","state":"Piau\u00ed","region":"NE","latitude":null,"longitude":null},{"idlocale":356,"idstate":32,"uf":"PR","state":"Paran\u00e1","region":"S","latitude":null,"longitude":null},{"idlocale":357,"idstate":46,"uf":"RJ","state":"Rio de Janeiro","region":"SE","latitude":null,"longitude":null},{"idlocale":358,"idstate":35,"uf":"RN","state":"Rio Grande do Norte","region":"NE","latitude":null,"longitude":null},{"idlocale":359,"idstate":38,"uf":"RO","state":"Rond\u00f4nia","region":"N","latitude":null,"longitude":null},{"idlocale":360,"idstate":43,"uf":"RR","state":"Roraima","region":"N","latitude":null,"longitude":null},{"idlocale":361,"idstate":48,"uf":"RS","state":"Rio Grande do Sul","region":"S","latitude":null,"longitude":null},{"idlocale":362,"idstate":36,"uf":"SC","state":"Santa Catarina","region":"S","latitude":null,"longitude":null},{"idlocale":363,"idstate":51,"uf":"SE","state":"Sergipe","region":"NE","latitude":null,"longitude":null},{"idlocale":364,"idstate":34,"uf":"SP","state":"S\u00e3o Paulo","region":"SE","latitude":null,"longitude":null},{"idlocale":365,"idstate":42,"uf":"TO","state":"Tocantins","region":"N","latitude":null,"longitude":null}]}
Hopefully this is another way to get the data you are looking for?
Then you can use normal requests to get the data. You would just have to form the request the same. Usually adding an accept, useragent, and requested with header is enough to pass.
I'm new to scrapy and tried to crawl from a couple of sites, but wasn't able to get more than a few images from there.
For example, for http://shop.nordstrom.com/c/womens-dresses-new with the following code -
def parse(self, response):
for dress in response.css('article.npr-product-module'):
yield {
'src': dress.css('img.product-photo').xpath('#src').extract_first(),
'url': dress.css('a.product-photo-href').xpath('#href').extract_first()
}
I got 6 products. I expect 66.
For URL https://www.renttherunway.com/products/dress with the following code -
def parse(self, response):
for dress in response.css('div.cycle-image-0'):
yield {
'image-url': dress.xpath('.//img/#src').extract_first(),
}
I got 12. I expect roughly 100.
Even when I changed it to crawl every 'next' page, I got the same number per page but it went through all pages successfully.
I have tried a different USER_AGENT, disabled COOKIES, and DOWNLOAD_DELAY of 5.
I imagine I will run into the same problem on any site so folks should have seen this before but can't find a reference to it.
What am I missing?
It's one of those weird websites where they store product data as json in html source and unpack it with javascript on page load later.
To figure this out usually what you want to do is
disable javascript and do scrapy view <url>
investigate the results
find the id in the product url and search that id in page source to check whether it exists and if so where it is hidden. If it doesn't exist that means it's being populated by some AJAX request -> reenable javascript, go to the page and dig through browser inspector's network tab to find it.
if you do regex based search:
re.findall("ProductResults, (\{.+\})\)", response.body_as_unicode())
You'll get a huge json that contains all products and their information.
import json
import re
data = re.findall("ProductResults, (\{.+\})\)", response.body_as_unicode())
data = json.loads(data[0])['data']
print(len(data['ProductResult']['Products']))
>> 66
That gets a correct amount of products!
So in your parse you can do this:
def parse(self, response):
for product in data['ProductResult']['Products']:
# find main image
image_url = [m['Url'] for m in product['Media'] if m['Type'] == 'MainImage']
yield {'image_url': image_url}
I'm using Python-Scrapy to scrap the reviews of tripadvisor members pages.
Here is the url I'm using : http://www.tripadvisor.com/members/scottca075
I'm able to get the first page using scrapy. I haven't been able to get the other pages. I observed the XHR Request in the Network Tab of the browser on clicking Next button.
One GET and One POST request is sent:
On checking the parameters for the GET request, I see this:
action : undefined_Other_ClickNext_REVIEWS_ALL
gaa : Other_ClickNext_REVIEWS_ALL
gal : 50
gams : 0
gapu : Vq85qQoQKjYAABktcRMAAAAh
gass : members`
The request url is
`http://www.tripadvisor.com/ActionRecord?action=undefined_Other_ClickNext_REVIEWS_ALL&gaa=Other_ClickNext_REVIEWS_ALL&gal=0&gass=members&gapu=Vq8xPAoQLnMAAUutB9gAAAAJ&gams=1`
The parameter gal represents the offset. Each page has 50 reviews. On moving to the second page by clicking the next button, the parameter gal is set to 50. Then, 100,150,200..and so on.
The data that I want is in the POST request in json format. Image of JSON data in POST request. The request url on the post request is http://www.tripadvisor.com/ModuleAjax?
I'm confused as to how to make the request in scrapy to get the data.
I tried using FormRequest as follows:
pagination_url = "http://www.tripadvisor.com/ActionRecord"
form_date = {'action':'undefined_Other_ClickNext_REVIEWS_ALL','gaa':'Other_ClickNext_REVIEWS_ALL', 'gal':'0','gams':'0','gapu':'Vq8EngoQL3EAAJKgcx4AAAAN','gass':'members'}
FormRequest(url=self.pagination_url, formdata=formdata, callback=self.parseItem)
I also tried setting headers options in the FormRequest
headers = {'Host':'www.tripadvisor.com','Referer':'http://www.tripadvisor.com/members/prizm','X-Requested-With': 'XMLHttpRequest'}
If someone could explain what I'm missing and point me in the right direction that would be great. I have run out of ideas.
And also, I'm aware that I can use selenium. But I want to know if there is a faster way to do this.
Use ScrapyJS - Scrapy+JavaScript integration
To use ScrapyJS in your project, you first need to enable the middleware:
DOWNLOADER_MIDDLEWARES = {
'scrapyjs.SplashMiddleware': 725,
}
For example, if we wanted to retrieve the rendered HTML for a page, we could do something like this:
import scrapy
class MySpider(scrapy.Spider):
start_urls = ["http://example.com", "http://example.com/foo"]
def start_requests(self):
for url in self.start_urls:
yield scrapy.Request(url, self.parse, meta={
'splash': {
'endpoint': 'render.html',
'args': {'wait': 0.5}
}
})
def parse(self, response):
# response.body is a result of render.html call; it
# contains HTML processed by a browser.
# …
A common scenario is that the user needs to click a button before the page is displayed. We can handle this using jQuery with Splash:
function main(splash)
splash:autoload("https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js")
splash:go("http://example.com")
splash:runjs("$('#some-button').click()")
return splash:html()
end
For more details check here
so for you are doing correct,
add the yield in front of FormRequest as:
yield FormRequest(''')
secondly focus on the value of gal, because it is the only parameter changing here and don`t keep gal = "0".
Find the total number of reviews and start from 50 to total pages adding 50 with each request.
form_date = {'action':'undefined_Other_ClickNext_REVIEWS_ALL','gaa':'Other_ClickNext_REVIEWS_ALL', 'gal':reviews_till_this_page,'gams':'0','gapu':'Vq8EngoQL3EAAJKgcx4AAAAN','gass':'members'}
I am trying to scrape https://a836-propertyportal.nyc.gov/Default.aspx with Scrapy. I am having difficulty using the FormRequest--specifically, I do not know how to tell Scrapy how to fill the block and lot forms out, and then subsequently get the response of the page. I tried following the FormRequest example on the Scrapy website found here (http://doc.scrapy.org/en/latest/topics/request-response.html#using-formrequest-from-response-to-simulate-a-user-login), but continued to have difficulty with properly clicking on the "Search" button.
I would really appreciate it if you could offer any suggestions so that I can extract data from the submitted page. Some poster on SO suggested that Scrapy cannot handle JS events well, and to use another library like CasperJS instead.
Update: I would very much appreciate it if someone could please point me to a Java/Python/JS library that allows me to submit a form, and retrieve the subsequent information
Updated Code (following Pawel's comment): My code can be found here:
from scrapy.spider import Spider
from scrapy.selector import Selector
from scrapy.http import FormRequest, Request
class MonshtarSpider(Spider):
name = "monshtar"
allowed_domains = ["https://a836-propertyportal.nyc.gov/Default.aspx"]
start_urls = (
'https://a836-propertyportal.nyc.gov/Default.aspx/',
)
def parse(self, response):
print "entered the parsing section!!"
yield Request("https://a836-propertyportal.nyc.gov/ExemptionDetails.aspx",
cookies = {"borough":"1", "block":"01000", "style":"default", "lot":"0011"}, callback = self.aftersubmit)
def aftersubmit(self, response):
#get the data....
print "SUCCESS!!\n\n\n"
Your page is somewhat bizzare and difficult to parse, after submitting valid POST request page responds with 302 http status and a bunch of cookies (your formdata is invalid by the way, you need to replace underscores with dollars in your parameters).
Content can be viewed after sending GET to https://a836-propertyportal.nyc.gov/ExemptionDetails.aspx
Most surprising thing is that you can crawl this site using only cookies, without POST request. POST is there only to give you cookies, it does not redirect to or respond with html response. You can manipulate those cookies from your spider. You only need to make first GET to get session cookie, and then successive GETS with borough, block etc.
Try this in scrapy shell:
pawel#stackoverflow:~/stack/scrapy$ scrapy shell "https://a836-propertyportal.nyc.gov/Default.aspx"
In [1]: from scrapy.http import Request
In [2]: req = Request("https://a836-propertyportal.nyc.gov/ExemptionDetails.aspx", cookies = {"borough":"1", "block":"01000", "style":"default", "lot":"0011"})
In [3]: fetch(req)
In [4]: view(response)
Out[5]: True # opening browser window
Response at this point will contain data for property with given block, borough and lot. Now you only need to use this knowledge in your spider. Just replace your POST with GET with cookies, add callback to what you have in shell and it should work fine.
If this still does not work or is somehow unsuited to your purposes try extracting hidden ajax parameter (the value of nullctl00_ScriptManager1_HiddenField), add this to formdata (and of course correct your formdata so that it is identical to what browser sends).
You don't click the search button but you make a POST request to a page with all the data. But checking the code, it's send a lot of data. Below I posted my requests...
ctl00_ScriptManager1_HiddenField:;;AjaxControlToolkit, Version=3.0.11119.25904, Culture=neutral, PublicKeyToken=28f01b0e84b6d53e:en-US:f48478dd-9360-4d50-94c1-5c5fa55bd379:865923e8:411fea1c:e7c87f07:91bd373d:1d58b08c:8e72a662:acd642d2:596d588c:77c58d20:14b56adc:269a19ae:bbfda34c:30a78ec5:5430d994
__EVENTTARGET:
__EVENTARGUMENT:
__VIEWSTATE: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
__EVENTVALIDATION:/wEWGgKWm9a2BgL687aTAwLmha0BAujn2IECAo3DtaEJAtLdz/kGAr3g5K4DAu78ttcEAvOB3+MGAvKB3+MGAvGB3+MGAvCB3+MGAveB3+MGAoHAg44PArT/mOoPAqrvlMAJAtzQstcEAoDswboFAoHswboFAoLswboFAoPswboFAoTswboFAtjqpO8KAujQ7b0GAqvgnb0NAsPa/KsBQz19YIqBRvCWvZh8bk6XKxp+wQo=
grpStyle:blue
ctl00$SampleContent$MyAccordion_AccordionExtender_ClientState:0
ctl00$SampleContent$ctl01$TextBox1:(unable to decode value)
ctl00$SampleContent$ctl01$ddlParclBorough:1
ctl00$SampleContent$ctl01$txtBlock:100
ctl00$SampleContent$ctl01$txtLot:200
ctl00$SampleContent$ctl01$btnSearchBBL:Please Wait...
ctl00$SampleContent$ctl03$TextBox2:(unable to decode value)
ctl00$SampleContent$ctl03$ddlParclBoroughPropAddr:1
ctl00$SampleContent$ctl03$txtHouseNbr:
ctl00$SampleContent$ctl03$txtStreetNm:
ctl00$SampleContent$ctl03$txtAptNbr:
My suggestion is to use a scrap lib which supports executing JS. Or use something else. I had many success using Selenium and WebDriver to execute code in browser, which supports JS.
Update:
You have an example How to submit a form using PhantomJS.