问题
I'm trying to download data from a gsmarena page: "http://www.gsmarena.com/htc_one_me-7275.php".
However the data is classified in form of tables and table rows. The data is of the format:
table header > td[@class='ttl'] > td[@class='nfo']
Edited code: Thanks to the help of community members at stackexchange, I've reformatted the code as: Items.py file:
import scrapy
class gsmArenaDataItem(scrapy.Item):
phoneName = scrapy.Field()
phoneDetails = scrapy.Field()
pass
Spider file:
from scrapy.selector import Selector
from scrapy import Spider
from gsmarena_data.items import gsmArenaDataItem
class testSpider(Spider):
name = "mobile_test"
allowed_domains = ["gsmarena.com"]
start_urls = ('http://www.gsmarena.com/htc_one_me-7275.php',)
def parse(self, response):
# extract whatever stuffs you want and yield items here
hxs = Selector(response)
phone = gsmArenaDataItem()
tableRows = hxs.css("div#specs-list table")
for tableRows in tableRows:
phone['phoneName'] = tableRows.xpath(".//th/text()").extract()[0]
for ttl in tableRows.xpath(".//td[@class='ttl']"):
ttl_value = " ".join(ttl.xpath(".//text()").extract())
nfo_value = " ".join(ttl.xpath("following-sibling::td[@class='nfo']//text()").extract())
colonSign = ": "
commaSign = ", "
seq = [ttl_value, colonSign, nfo_value, commaSign]
phone['phoneDetails'] = "".join(seq)
yield phone
However, I'm getting banned as soon as I try to even load the page in scrapy shell using:
"http://www.gsmarena.com/htc_one_me-7275.php"
I've even tried using DOWNLOAD_DELAY = 3 in settings.py.
Kindly suggest how should I go about it.
回答1:
The idea would be to iterate over all table
elements inside the "spec-list", get the th
element for the block name, get all the td
elements with class="ttl"
and corresponding following td
siblings with class="nfo"
.
Demo from the shell:
In [1]: for scope in response.css("div#specs-list table"):
scope_name = scope.xpath(".//th/text()").extract()[0]
for ttl in scope.xpath(".//td[@class='ttl']"):
ttl_value = " ".join(ttl.xpath(".//text()").extract())
nfo_value = " ".join(ttl.xpath("following-sibling::td[@class='nfo']//text()").extract())
print scope_name, ttl_value, nfo_value
....:
Network Technology GSM / HSPA / LTE
Network 2G bands GSM 850 / 900 / 1800 / 1900 - SIM 1 & SIM 2
...
Battery Stand-by Up to 598 h (2G) / Up to 626 h (3G)
Battery Talk time Up to 23 h (2G) / Up to 13 h (3G)
Misc Colors Meteor Grey, Rose Gold, Gold Sepia
回答2:
I also faced the same problem of getting banned within few requests, changing proxies using scrapy-proxies and using autothrottling helped significantly, but did not solve the problem completely.
You can find my code at gsmarenacrawler
来源:https://stackoverflow.com/questions/30673602/extract-data-from-a-gsmarena-page-using-scrapy