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SCRAPY FORM REQUEST doesn't return any data

I was making a form request to a website. The request is made successfully but it's not returning any data.
LOGS:
2020-09-05 22:37:57 [scrapy.core.engine] DEBUG: Crawled (200) <POST https://safer.fmcsa.dot.gov/query.asp> (referer: https://safer.fmcsa.dot.gov/)
2020-09-05 22:37:57 [scrapy.core.engine] DEBUG: Crawled (200) <POST https://safer.fmcsa.dot.gov/query.asp> (referer: https://safer.fmcsa.dot.gov/)
2020-09-05 22:37:59 [scrapy.core.engine] DEBUG: Crawled (200) <POST https://safer.fmcsa.dot.gov/query.asp> (referer: https://safer.fmcsa.dot.gov/)
2020-09-05 22:37:59 [scrapy.core.engine] INFO: Closing spider (finished)
2020-09-05 22:37:59 [scrapy.statscollectors] INFO: Dumping Scrapy stats:
MY CODE:
# -*- coding: utf-8 -*-
import scrapy
codes = open('codes.txt').read().split('\n')
class MainSpider(scrapy.Spider):
name = 'main'
form_url = 'https://safer.fmcsa.dot.gov/query.asp'
start_urls = ['https://safer.fmcsa.dot.gov/CompanySnapshot.aspx']
def parse(self, response):
for code in codes:
data = {
'searchtype': 'ANY',
'query_type': 'queryCarrierSnapshot',
'query_param': 'USDOT',
'query_string': code,
}
yield scrapy.FormRequest(url=self.form_url, formdata=data, callback=self.parse_form)
def parse_form(self, response):
cargo = response.xpath('(//table[#summary="Cargo Carried"]/tbody/tr)[2]')
for each in cargo:
each_x = each.xpath('.//td[contains(text(), "X")]/following-sibling::td/font/text()').get()
yield {
"X Values": each_x if each_x else "N/A",
}
The following are a few samples code that I am using for the POST REQUEST.
2146709
273286
120670
2036998
690147

I believe all you need is to remove tbody from your XPath here:
cargo = response.xpath('(//table[#summary="Cargo Carried"]/tbody/tr)[2]')
use like this:
cargo = response.xpath('//table[#summary="Cargo Carried"]/tr[2]')
# I also removed the () inside the path because you don't need it, but that didn't cause the problem.
The reason for this is that Scrapy will parse the original code from the page, while your browser may render tbody in case it isn't in the source. Further info here.

Can't make my first spider run,any advice?

This is my first time using scrapy and maybe the third in python, so i'm a noob.
The problem with this code is that it doesn't even enter the page.
I have tried to use:
scrapy shell 'https://www.zooplus.es/shop/tienda_perros/pienso_perros/pienso_hipoalergenico'
This works and then using...
response.xpath('//*[#class="product__varianttitle ui-text--small"]')
... I can retrieve information.
My code:
import scrapy
class ZooplusSpider(scrapy.Spider):
name = 'Zooplus'
allowed_domains = ['zooplus.es']
start_urls = ['https://www.zooplus.es/shop/tienda_perros/pienso_perros/pienso_hipoalergenico']
def parse(self, response):
item= scrapy.Item()
item['nombre']=response.xpath('//*[#class="product__varianttitle ui-text--small"]')
item['preciooriginal']=response.xpath('//*[#class="product__prices_col prices"]')
item['preciorebaja']=response.xpath('//*[#class="product__specialprice__text"]')
return item
The error message says:
2019-08-30 21:16:57 [scrapy.core.engine] INFO: Spider opened
2019-08-30 21:16:57 [scrapy.extensions.logstats] INFO: Crawled 0 pages (at 0 pages/min), scraped 0 items (at 0 items/min)
2019-08-30 21:16:57 [scrapy.extensions.telnet] INFO: Telnet console listening on 127.0.0.1:6023
2019-08-30 21:16:57 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://www.zooplus.es/robots.txt> (referer: None)
2019-08-30 21:16:57 [scrapy.downloadermiddlewares.redirect] DEBUG: Redirecting (301) to <GET https://www.zooplus.es/shop/tienda_perros/pienso_perros/pienso_hipoalergenico> from <GET https://www.zooplus.es/shop/tienda_perros/pienso_perros/pienso_hipoalergenico/>
2019-08-30 21:16:58 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://www.zooplus.es/shop/tienda_perros/pienso_perros/pienso_hipoalergenico> (referer: None)
2019-08-30 21:16:58 [scrapy.core.scraper] ERROR: Spider error processing <GET https://www.zooplus.es/shop/tienda_perros/pienso_perros/pienso_hipoalergenico> (referer: None)

I think you haven't defined the fields for your items.py
the error is coming from item['nombre']
Either you should define the field in items.py or simply replace
item= scrapy.Item()
with item = dict()

Get all URLs in a entire site using Scrapy

folks!
I'm trying to get all internal URLs in entire site for SEO purposes and i recently discovered Scrapy to help me in this task. But my code always returns a error:
2017-10-11 10:32:00 [scrapy.core.engine] INFO: Spider opened
2017-10-11 10:32:00 [scrapy.extensions.logstats] INFO: Crawled 0 pages (at 0 pages/min), scraped 0 items (at 0 items/min
)
2017-10-11 10:32:00 [scrapy.extensions.telnet] DEBUG: Telnet console listening on 127.0.0.1:6023
2017-10-11 10:32:01 [scrapy.downloadermiddlewares.redirect] DEBUG: Redirecting (302) to <GET https://www.**test**.com/> from
<GET http://www.**test**.com/robots.txt>
2017-10-11 10:32:02 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://www.**test**.com/> (referer: None)
2017-10-11 10:32:03 [scrapy.downloadermiddlewares.redirect] DEBUG: Redirecting (302) to <GET https://www.**test**.com/> from
<GET http://www.**test**.com>
2017-10-11 10:32:03 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://www.**test**.com/> (referer: None)
2017-10-11 10:32:03 [scrapy.core.scraper] ERROR: Spider error processing <GET https://www.**test**.com/> (referer: None)
Traceback (most recent call last):
File "c:\python27\lib\site-packages\twisted\internet\defer.py", line 653, in _runCallbacks
current.result = callback(current.result, *args, **kw)
File "c:\python27\lib\site-packages\scrapy\spiders\__init__.py", line 90, in parse
raise NotImplementedError
NotImplementedError
I change the original url.
Here's the code i'm running
# -*- coding: utf-8 -*-
import scrapy
from scrapy.spiders import CrawlSpider, Rule
from scrapy.linkextractors import LinkExtractor
class TestSpider(scrapy.Spider):
name = "test"
allowed_domains = ["http://www.test.com"]
start_urls = ["http://www.test.com"]
rules = [Rule (LinkExtractor(allow=['.*']))]
Thanks!
EDIT:
This worked for me:
rules = (
Rule(LinkExtractor(), callback='parse_item', follow=True),
)
def parse_item(self, response):
filename = response.url
arquivo = open("file.txt", "a")
string = str(filename)
arquivo.write(string+ '\n')
arquivo.close
=D

The error you are getting is caused by the fact that you don't have defined parse method in your spider, which is mandatory if you base your spider on scrapy.Spider class.
For your purpose (i.e. crawling whole website) it's best to base your spider on scrapy.CrawlSpider class. Also, in Rule, you have to define callback attribute as a method that will parse every page you visit. Last one cosmetic change, in LinkExtractor, if you want to visit every page, you can leave out allow as its default value is empty tuple which means it will match all links found.
Consult a CrawlSpider example for concrete code.

Scrapy - unexpected suffix "%0A" in links

I'm scraping a site to download email addresses from websites.
I have a simple Scrapy crawler, which takes a .txt file with domains and then scrape them to find email addresses.
Unfortunately Scrapy is adding suffix "%0A" in links. You can see it on log file.
Here is my code:
class EmailsearcherSpider(scrapy.Spider):
name = 'emailsearcher'
allowed_domains = []
start_urls = []
unique_data = set()
def __init__(self):
for line in open('/home/*****/domains',
'r').readlines():
self.allowed_domains.append(line)
self.start_urls.append('http://{}'.format(line))
def parse(self, response):
emails = response.xpath('//body').re('([a-zA-Z0-9_.+-]+#[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+)')
for email in emails:
print(email)
print('\n')
if email and (email not in self.unique_data):
self.unique_data.add(email)
yield {'emails': email}
domains.txt:
link4.pl/kontakt
danone.pl/Kontakt
axadirect.pl/kontakt/dane-axa-direct.html
andrzejtucholski.pl/kontakt
premier.gov.pl/kontakt.html
Here are logs from console:
2017-09-26 22:27:02 [scrapy.core.engine] INFO: Spider opened
2017-09-26 22:27:02 [scrapy.extensions.logstats] INFO: Crawled 0 pages (at 0 pages/min), scraped 0 items (at 0 items/min)
2017-09-26 22:27:02 [scrapy.extensions.telnet] DEBUG: Telnet console listening on 127.0.0.1:6026
2017-09-26 22:27:03 [scrapy.downloadermiddlewares.redirect] DEBUG: Redirecting (301) to <GET http://www.premier.gov.pl/kontakt.html> from <GET http://premier.gov.pl/kontakt.html>
2017-09-26 22:27:03 [scrapy.downloadermiddlewares.redirect] DEBUG: Redirecting (301) to <GET https://andrzejtucholski.pl/kontakt> from <GET http://andrzejtucholski.pl/kontakt%0A>
2017-09-26 22:27:05 [scrapy.downloadermiddlewares.redirect] DEBUG: Redirecting (301) to <GET https://axadirect.pl/kontakt/dane-axa-direct.html%0A> from <GET http://axadirect.pl/kontakt/dane-axa-direct.html%0A>
2017-09-26 22:27:05 [scrapy.downloadermiddlewares.redirect] DEBUG: Redirecting (301) to <GET https://www.link4.pl/kontakt> from <GET http://link4.pl/kontakt%0A>
2017-09-26 22:27:05 [scrapy.downloadermiddlewares.redirect] DEBUG: Redirecting (301) to <GET https://danone.pl/Kontakt%0a> from <GET http://danone.pl/Kontakt%0A>

The %0A is the newline character. Reading the lines keeps the newline characters intact. To get rid of them, you may use string.strip function, like this:
self.start_urls.append('http://{}'.format(string.strip(line)))

I found the right solution. I had to use rstrip function.
self.start_urls.append('http://{}'.format(line.rstrip()))

Empty output file while crawling

I know I already ask a similar question but it is a new spider and I have the same problem (Crawling data successfully but cannot scraped or write it into csv)... I put my other spider here with an exemple of the output I should have and all the info I usually need to get an output file... Is there anybody who could help me please? I have to finish this spider on Friday... So, I'm in hurry!!
The strange thing is that my Fnac.csv is created but always empty... So I tried to run my spider directly on an example of a page I want to crawl and I have all the info I need... So, I don't understand... Maybe the problem comes just from my Rules or something?
My spider :
# -*- coding: utf-8 -*-
# Every import is done for a specific use
import scrapy # Once you downloaded scrapy, you have to import it in your code to use it.
import re # To use the .re() function, which extracts just a part of the text you crawl. It's using regex (regular expressions)
import numbers # To use mathematics things, in this case : numbers.
from fnac.items import FnacItem # To return the items you want. Each item has a space allocated in the momery, created in the items.py file, which is in the second cdiscount_test directory.
from urllib.request import urlopen # To use urlopen, which allow the spider to find the links in a page that is in the actual page.
from scrapy.spiders import CrawlSpider, Rule # To use rules and LinkExtractor, which allowed the spider to follow every url on the page you crawl.
from scrapy.linkextractors import LinkExtractor # Look above.
from bs4 import BeautifulSoup # To crawl an iframe, which is a page in a page in web prgrammation.
# Your spider
class Fnac(CrawlSpider):
name = 'FnacCom' # Name of your spider. You call it in the anaconda prompt.
allowed_domains = ['fnac.com'] # Web domains allowed by you, your spider cannot enter on a page which is not in that domain.
start_urls = ['https://www.fnac.com/Index-Vendeurs-MarketPlace/A/'] # The first link you crawl.
# To allow your spider to follow the urls that are on the actual page.
rules = (
Rule(LinkExtractor(), callback='parse_start_url'),
)
# Your function that crawl the actual page you're on.
def parse_start_url(self, response):
item = FnacItem() # The spider now knowws that the items you want have to be stored in the item variable.
# First data you want which are on the actual page.
nb_sales = response.xpath('//body//table[#summary="données détaillée du vendeur"]/tbody/tr/td/span/text()').re(r'([\d]*) ventes')
country = response.xpath('//body//table[#summary="données détaillée du vendeur"]/tbody/tr/td/text()').re(r'([A-Z].*)')
# To store the data in their right places.
item['nb_sales'] = ''.join(nb_sales).strip()
item['country'] = ''.join(country).strip()
# Find a specific link on the actual page and launch this function on it. It's the place where you will find your two first data.
test_list = response.xpath('//a/#href')
for test_list in response.xpath('.//div[#class="ProductPriceBox-item detail"]'):
temporary = response.xpath('//div[#class="ProductPriceBox-item detail"]/div/a/#href').extract()
for i in range(len(temporary)):
scrapy.Request(temporary[i], callback=self.parse_start_url, meta={'dont_redirect': True, 'item': item})
# To find the iframe on a page, launch the next function.
yield scrapy.Request(response.url, callback=self.parse_iframe, meta={'dont_redirect': True, 'item': item})
# Your function that crawl the iframe on a page
def parse_iframe(self, response):
f_item1 = response.meta['item'] # Just to use the same item location you used above.
# Find all the iframe on a page.
soup = BeautifulSoup(urlopen(response.url), "lxml")
iframexx = soup.find_all('iframe')
# If there's at least one iframe, launch the next function on it
if (len(iframexx) != 0):
for iframe in iframexx:
yield scrapy.Request(iframe.attrs['src'], callback=self.extract_or_loop, meta={'dont_redirect': True, 'item': f_item1})
# If there's no iframe, launch the next function on the link of the page where you looked after the potential iframe.
else:
yield scrapy.Request(response.url, callback=self.extract_or_loop, meta={'dont_redirect': True, 'item': f_item1})
# Function to find the other data.
def extract_or_loop(self, response):
f_item2 = response.meta['item'] # Just to use the same item location you used above.
# The rest of the data you want.
address = response.xpath('//body//div/p/text()').re(r'.*Adresse \: (.*)\n?.*')
email = response.xpath('//body//div/ul/li[contains(text(),"#")]/text()').extract()
name = response.xpath('//body//div/p[#class="customer-policy-label"]/text()').re(r'Infos sur la boutique \: ([a-zA-Z0-9]*\s*)')
phone = response.xpath('//body//div/p/text()').re(r'.*Tél \: ([\d]*)\n?.*')
siret = response.xpath('//body//div/p/text()').re(r'.*Siret \: ([\d]*)\n?.*')
vat = response.xpath('//body//div/text()').re(r'.*TVA \: (.*)')
# If the name of the seller exist, then return the data.
if (len(name) != 0):
f_item2['name'] = ''.join(name).strip()
f_item2['address'] = ''.join(address).strip()
f_item2['phone'] = ''.join(phone).strip()
f_item2['email'] = ''.join(email).strip()
f_item2['vat'] = ''.join(vat).strip()
f_item2['siret'] = ''.join(siret).strip()
yield f_item2
# If not, there was no data on the page and you have to find all the links on your page and launch the first function on them.
else:
for sel in response.xpath('//html/body'):
list_urls = sel.xpath('//a/#href').extract()
list_iframe = response.xpath('//div[#class="ProductPriceBox-item detail"]/div/a/#href').extract()
if (len(list_iframe) != 0):
for list_iframe in list_urls:
yield scrapy.Request(list_iframe, callback=self.parse_start_url, meta={'dont_redirect': True})
for url in list_urls:
yield scrapy.Request(response.urljoin(url), callback=self.parse_start_url, meta={'dont_redirect': True})
My settings :
BOT_NAME = 'fnac'
SPIDER_MODULES = ['fnac.spiders']
NEWSPIDER_MODULE = 'fnac.spiders'
DOWNLOAD_DELAY = 2
COOKIES_ENABLED = False
ITEM_PIPELINES = {
'fnac.pipelines.FnacPipeline': 300,
}
My pipeline :
# -*- coding: utf-8 -*-
from scrapy import signals
from scrapy.exporters import CsvItemExporter
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html
# Define your output file.
class FnacPipeline(CsvItemExporter):
def __init__(self):
self.files = {}
#classmethod
def from_crawler(cls, crawler):
pipeline = cls()
crawler.signals.connect(pipeline.spider_opened, signals.spider_opened)
crawler.signals.connect(pipeline.spider_closed, signals.spider_closed)
return pipeline
def spider_opened(self, spider):
f = open('..\\..\\..\\..\\Fnac.csv', 'w').close()
file = open('..\\..\\..\\..\\Fnac.csv', 'wb')
self.files[spider] = file
self.exporter = CsvItemExporter(file)
self.exporter.start_exporting()
def spider_closed(self, spider):
self.exporter.finish_exporting()
file = self.files.pop(spider)
file.close()
def process_item(self, item, spider):
self.exporter.export_item(item)
return item
My items :
# -*- coding: utf-8 -*-
import scrapy
# Define here the models for your scraped items
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items.html
class FnacItem(scrapy.Item):
# define the fields for your items :
# name = scrapy.Field()
name = scrapy.Field()
nb_sales = scrapy.Field()
country = scrapy.Field()
address = scrapy.Field()
siret = scrapy.Field()
vat = scrapy.Field()
phone = scrapy.Field()
email = scrapy.Field()
The command I write in my prompt to run the spider is :
scrapy crawl FnacCom
An example of output is :
2017-08-08 10:21:54 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://www.fnac.com/TV-Panasonic/TV-par-marque/nsh474980/w-4#bl=MMtvh> (referer: https://www.fnac.com)
2017-08-08 10:21:56 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://www.fnac.com/TV-Philips/TV-par-marque/nsh474981/w-4#bl=MMtvh> (referer: https://www.fnac.com)
2017-08-08 10:21:58 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://www.fnac.com/TV-Sony/TV-par-marque/nsh475001/w-4#bl=MMtvh> (referer: https://www.fnac.com)
2017-08-08 10:22:01 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://www.fnac.com/TV-LG/TV-par-marque/nsh474979/w-4#bl=MMtvh> (referer: https://www.fnac.com)
2017-08-08 10:22:03 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://www.fnac.com/TV-Samsung/TV-par-marque/nsh474984/w-4#bl=MMtvh> (referer: https://www.fnac.com)
2017-08-08 10:22:06 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://www.fnac.com/TV-Television/TV-par-marque/shi474972/w-4#bl=MMtvh> (referer: https://www.fnac.com)
2017-08-08 10:22:08 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://www.fnac.com/TV-Television/TV-par-prix/shi474946/w-4#bl=MMtvh> (referer: https://www.fnac.com)
2017-08-08 10:22:11 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://www.fnac.com/TV-Television/TV-par-taille-d-ecran/shi474945/w-4#bl=MMtvh> (referer: https://www.fnac.com)
2017-08-08 10:22:12 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://www.fnac.com/TV-Television/TV-par-Technologie/shi474944/w-4#bl=MMtvh> (referer: https://www.fnac.com)
2017-08-08 10:22:15 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://www.fnac.com/Smart-TV-TV-connectee/TV-par-Technologie/nsh474953/w-4#bl=MMtvh> (referer: https://www.fnac.com)
2017-08-08 10:22:18 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://www.fnac.com/TV-QLED/TV-par-Technologie/nsh474948/w-4#bl=MMtvh> (referer: https://www.fnac.com)
2017-08-08 10:22:21 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://www.fnac.com/TV-4K-UHD/TV-par-Technologie/nsh474947/w-4#bl=MMtvh> (referer: https://www.fnac.com)
2017-08-08 10:22:23 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://www.fnac.com/Toutes-les-TV/TV-Television/nsh474940/w-4#bl=MMtvh> (referer: https://www.fnac.com)
2017-08-08 10:22:26 [scrapy.extensions.logstats] INFO: Crawled 459 pages (at 24 pages/min), scraped 0 items (at 0 items/min)
2017-08-08 10:22:26 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://www.fnac.com/TV-Television/shi474914/w-4#bl=MMtvh> (referer: https://www.fnac.com)
2017-08-08 10:22:28 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://www.fnac.com/partner/canalplus#bl=MMtvh> (referer: https://www.fnac.com)
2017-08-08 10:22:34 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://www.fnac.com/Meilleures-ventes-TV/TV-Television/nsh474942/w-4#bl=MMtvh> (referer: https://www.fnac.com)
2017-08-08 10:22:37 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://www.fnac.com/Toutes-nos-Offres/Offres-de-remboursement/shi159784/w-4#bl=MMtvh> (referer: https://www.fnac.com)
2017-08-08 10:22:38 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://www.fnac.com/Offres-Adherents/Toutes-nos-Offres/nsh81745/w-4#bl=MMtvh> (referer: https://www.fnac.com)
2017-08-08 10:22:41 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://www.fnac.com/labofnac#bl=MMtvh#bl=MMtvh> (referer: https://www.fnac.com)
2017-08-08 10:22:44 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://www.fnac.com/Lecteur-et-Enregistreur-DVD-Blu-Ray/Lecteur-DVD-Blu-Ray/shi475063/w-4#bl=MMtvh> (referer: https://www.fnac.com)
2017-08-08 10:22:46 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://www.fnac.com/TV-OLED/TV-par-Technologie/nsh474949/w-4#bl=MMtvh> (referer: https://www.fnac.com)
2017-08-08 10:22:49 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://www.fnac.com/Lecteur-DVD-Portable/Lecteur-et-Enregistreur-DVD-Blu-Ray/nsh475064/w-4#bl=MMtvh> (referer: https://www.fnac.com)
2017-08-08 10:22:52 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://www.fnac.com/Home-Cinema/Home-Cinema-par-marque/shi475116/w-4#bl=MMtvh> (referer: https://www.fnac.com)
2017-08-08 10:22:52 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://www.fnac.com/Univers-TV/Univers-Ecran-plat/cl179/w-4#bl=MMtvh> (referer: https://www.fnac.com)
2017-08-08 10:22:55 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://www.fnac.com/Casque-TV-HiFi/Casque-par-usage/nsh450507/w-4#bl=MMtvh> (referer: https://www.fnac.com)
Thank you so much for your help!!!

I wrote a small code refactor to show off how the spider could be written explicitly without using crawlspider and using common scrapy idioms:
class Fnac(Spider):
name = 'fnac.com'
allowed_domains = ['fnac.com']
start_urls = ['https://www.fnac.com/Index-Vendeurs-MarketPlace/0/'] # The first link you crawl.
def parse(self, response):
# parse sellers
sellers = response.xpath("//h1[contains(selftext(),'MarketPlace')]/following-sibling::ul/li/a/#href").extract()
for url in sellers:
yield Request(url, callback=self.parse_seller)
# parse other pages A-Z
pages = response.css('.pagerletter a::attr(href)').extract()
for url in pages:
yield Request(url, callback=self.parse)
def parse_seller(self, response):
nb_sales = response.xpath('//body//table[#summary="données détaillée du vendeur"]/tbody/tr/td/span/text()').re(r'([\d]*) ventes')
country = response.xpath('//body//table[#summary="données détaillée du vendeur"]/tbody/tr/td/text()').re(r'([A-Z].*)')
item = FnacItem()
# To store the data in their right places.
item['nb_sales'] = ''.join(nb_sales).strip()
item['country'] = ''.join(country).strip()
# go to details page now
details_url = response.xpath("//iframe/#src[contains(.,'retour')]").extract_first()
yield Request(details_url, self.parse_seller_details,
meta={'item': item}) # carry over our item to next response
def parse_seller_details(self, response):
item = response.meta['item'] # get item that's got filled in `parse_seller`
address = response.xpath('//body//div/p/text()').re(r'.*Adresse \: (.*)\n?.*')
email = response.xpath('//body//div/ul/li[contains(text(),"#")]/text()').extract()
# parse here
yield item