У меня есть программа очистки веб-страниц, которая должна войти на веб-сайт, чтобы очистить определенные данные. Сейчас я просто пытаюсь очистить страницу с информацией об учетной записи, https://www.starcitygames.com/myaccount/,, чтобы она заработала, прежде чем я собираю данные, которые мне действительно нужны. И есть несколько URL, которые мне нужно очистить, но только один из них требует входа в систему. Но все URL, которые я собираю, находятся на одном сайте. Прямо сейчас, хотя, кажется, ничего не делает. Я пытаюсь войти в систему, но ничего не происходит, нет сообщений о том, что все прошло успешно, но также нет сообщений о том, что невозможно войти. Я даже пытался получить доступ к URL без кода входа в систему, думая, что должен получить сообщение о том, что требуется вход в систему, но опять же ничего. Он получает доступ к странице, но как только он видит, что ему нечего скрести, он движется дальше. Ничего о входе в систему.
SplashSpider.py
# Import from other python files and scrapy files and the needed csv file containing all URLs/proxies/ua
import csv
import scrapy
from scrapy.spiders import Spider
from scrapy_splash import SplashRequest
from ..items import GameItem
#from scrapy.http import Request
########################## SPALSHSPIDER.PY OVERVIEW #####################################################
# process the csv file so the url + ip address + useragent pairs are the same as defined in the file
# returns a list of dictionaries, example:
# [ {'url': 'http://www.starcitygames.com/catalog/category/Rivals%20of%20Ixalan',
# 'ip': 'http://204.152.114.244:8050',
# 'ua': "Mozilla/5.0 (BlackBerry; U; BlackBerry 9320; en-GB) AppleWebKit/534.11"},
# ...
# ]
# plus python file also scrapes all URLs returning needed info and goes to all apges associated with URL by clicking next button
# Function to read csv file that contains URLs that are paried with proxies and user agents
def process_csv(csv_file):
# Initialize data
data = []
# Initialize reader
reader = csv.reader(csv_file)
next(reader)
# While inside csv file and not at end of csv file
for fields in reader:
# Set URL
if fields[0] != "":
url = fields[0]
else:
continue # skip the whole row if the url column is empty
#Set proxy and pair with correct URL
if fields[1] != "":
ip = "http://" + fields[1] + ":8050" # adding http and port because this is the needed scheme
# Set user agent and pair with correct URL
if fields[2] != "":
useragent = fields[2]
# Put all three together
data.append({"url": url, "ip": ip, "ua": useragent})
# Return URL paried with ua and proxy
return data
# Spider class
class MySpider(Spider):
# Name of Spider
name = 'splash_spider'
# getting all the url + ip address + useragent pairs then request them
def start_requests(self):
# get the file path of the csv file that contains the pairs from the settings.py
with open(self.settings["PROXY_CSV_FILE"], mode="r") as csv_file:
# requests is a list of dictionaries like this -> {url: str, ua: str, ip: str}
requests = process_csv(csv_file)
for i, req in enumerate(requests):
x = len(requests) - i # <- check here
# Return needed url with set delay of 3 seconds
yield SplashRequest(url=req["url"], callback=self.parse, args={"wait": 3},
# Pair with user agent specified in csv file
headers={"User-Agent": req["ua"]},
# Sets splash_url to whatever the current proxy that goes with current URL is instead of actual splash url
splash_url = req["ip"],
priority = x,
meta={'priority': x}
)
# Scraping function that will scrape URLs for specified information
def parse(self, response):
# Initialize item to function GameItem located in items.py, will be called multiple times
item = GameItem()
# Initialize saved_name
saved_name = ""
# Extract card category from URL using html code from website that identifies the category. Will be outputted before rest of data
item["Category"] = response.css("span.titletext::text").get()
# For loop to loop through HTML code until all necessary data has been scraped
for game in response.css("tr[class^=deckdbbody]"):
# Initialize saved_name to the extracted card name
saved_name = game.css("a.card_popup::text").get() or saved_name
# Now call item and set equal to saved_name and strip leading '\n' from output
item["Card_Name"] = saved_name.strip()
# Check to see if output is null, in the case that there are two different conditions for one card
if item["Card_Name"] != None:
# If not null than store value in saved_name
saved_name = item["Card_Name"].strip()
# If null then set null value to previous card name since if there is a null value you should have the same card name twice
else:
item["Card_Name"] = saved_name
# Call item again in order to extract the condition, stock, and price using the corresponding html code from the website
item["Condition"] = game.css("td[class^=deckdbbody].search_results_7 a::text").get()
item["Stock"] = game.css("td[class^=deckdbbody].search_results_8::text").get()
item["Price"] = game.css("td[class^=deckdbbody].search_results_9::text").get()
if item["Price"] == None:
item["Price"] = game.css("td[class^=deckdbbody].search_results_9 span[style*='color:red']::text").get()
# Return values
yield item
# Finds next page button
next_page = response.xpath('//a[contains(., "- Next>>")]/@href').get()
# If it exists and there is a next page enter if statement
if next_page is not None:
# Go to next page
yield response.follow(next_page, self.parse)
return scriapy.FormRequest.from_response(
response,
formdata={'username': 'example@gmail.com', 'password': 'password'},
callback=self.after_login
)
def after_login(self, response):
import pdb; pdb.set_trace()
if "Error while logging in" in response.body:
self.logger.error("Login failed!")
else:
import pdb; pdb.set_trace()
self.logger.error("Login succeeded!")
#scraping code will go here once I can login in succcessfully
Частичный файл CSV
URL,IP Address,User Agent
https://www.starcitygames.com/myaccount//login,199.89.192.78,"Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_6_6; en-en) AppleWebKit/533.19.4 (KHTML, like Gecko) Version/5.0.3 Safari/533.19.4",,
http://www.starcitygames.com/catalog/category/Vanguard%20Oversized,,