我是Python和网络抓取的新手。我在互联网上找到了这两个程序。我试图弄清楚如何将从def get_proxies()生成的随机代理添加到def webParser()方法。因此,每个url请求都会获得随机的代理地址。这可能吗?请帮忙。
from lxml import html
import csv, os, json
import requests
from lxml.html import fromstring
from itertools import cycle
#from exceptions import ValueError
import sys
from time import sleep
def get_proxies():
url = 'https://free-proxy-list.net/'
response = requests.get(url)
parser = fromstring(response.text)
proxies = set()
for i in parser.xpath('//tbody/tr')[:10]:
if i.xpath('.//td[7][contains(text(),"yes")]'):
# Grabbing IP and corresponding PORT
proxy = ":".join([i.xpath('.//td[1]/text()')[0], i.xpath('.//td[2]/text()')[0]])
proxies.add(proxy)
return proxies
proxies = get_proxies()
proxy_pool = cycle(proxies)
url = 'https://httpbin.org/ip'
for i in range(1,11):
#Get a proxy from the pool
proxy = next(proxy_pool)
print("Request #%d"%i)
try:
response = requests.get(url,proxies={"http": proxy, "https": proxy})
print(response.json())
except:
#Most free proxies will often get connection errors. You will have retry the entire request using another proxy to work.
#We will just skip retries as its beyond the scope of this tutorial and we are only downloading a single url
print("Skipping. Connnection error")
def webParser(url):
headers = {
'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.90 Safari/537.36'}
page = requests.get(url, headers=headers)
while True:
sleep(3)
try:
doc = html.fromstring(page.content)
XPATH_NAME = '//h1[@id="title"]//text()'
XPATH_SALE_PRICE = '//span[contains(@id,"ourprice") or contains(@id,"saleprice")]/text()'
XPATH_ORIGINAL_PRICE = '//td[contains(text(),"List Price") or contains(text(),"M.R.P") or contains(text(),"Price")]/following-sibling::td/text()'
XPATH_CATEGORY = '//a[@class="a-link-normal a-color-tertiary"]//text()'
XPATH_AVAILABILITY = '//div[@id="availability"]//text()'
RAW_NAME = doc.xpath(XPATH_NAME)
RAW_SALE_PRICE = doc.xpath(XPATH_SALE_PRICE)
RAW_CATEGORY = doc.xpath(XPATH_CATEGORY)
RAW_ORIGINAL_PRICE = doc.xpath(XPATH_ORIGINAL_PRICE)
RAw_AVAILABILITY = doc.xpath(XPATH_AVAILABILITY)
NAME = ' '.join(''.join(RAW_NAME).split()) if RAW_NAME else None
SALE_PRICE = ' '.join(''.join(RAW_SALE_PRICE).split()).strip() if RAW_SALE_PRICE else None
CATEGORY = ' > '.join([i.strip() for i in RAW_CATEGORY]) if RAW_CATEGORY else None
ORIGINAL_PRICE = ''.join(RAW_ORIGINAL_PRICE).strip() if RAW_ORIGINAL_PRICE else None
AVAILABILITY = ''.join(RAw_AVAILABILITY).strip() if RAw_AVAILABILITY else None
if not ORIGINAL_PRICE:
ORIGINAL_PRICE = SALE_PRICE
if page.status_code != 200:
raise ValueError('captha')
data = {
'NAME': NAME,
'SALE_PRICE': SALE_PRICE,
'CATEGORY': CATEGORY,
'ORIGINAL_PRICE': ORIGINAL_PRICE,
'AVAILABILITY': AVAILABILITY,
'URL': url,
}
return data
except Exception as e:
print(e)
def ReadAsin():
# AsinList = csv.DictReader(open(os.path.join(os.path.dirname(__file__),"Asinfeed.csv")))
AsinList = ['ITM001',
'ITM002',
'ITM003',
'ITM004',
'ITM005'
]
extracted_data = []
for i in AsinList:
url = "http://www.ecomsite.com/item/" + i
print
"Processing: " + url
extracted_data.append(webParser(url))
sleep(5)
f = open('data.json', 'w')
json.dump(extracted_data, f, indent=4)
if __name__ == "__main__":
ReadAsin()