抓取多个网页，结果输出乱序

Question

我正在抓取 3 URLs，每个都有多个页面。前 2 个链接有 2 页，第 3 个有 3 页。无论如何，当我抓取它们时，它抓取 URL 1 的第 1 页，然后是 URL 2 的第 1 页，而不是 URL 的第 2 页1. 然后它返回并抓取 URL 1 的第 2 页和 URL 2 的第 2 页，然后按顺序抓取 URL 3 的所有三页。那么为什么不按顺序抓取它们，比如 URL 1 的第 1,2 页； URL 2 的第 1,2 页，然后是 URL 的第 1,2,3 页 3. 有办法解决吗？

SplashSpider.py

import csv
from scrapy.spiders import Spider
from scrapy_splash import SplashRequest
from ..items import GameItem

# 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"},
#    ...
# ]
def process_csv(csv_file):
    data = []
    reader = csv.reader(csv_file)
    next(reader)
    for fields in reader:
        if fields[0] != "":
            url = fields[0]
        else:
            continue # skip the whole row if the url column is empty
        if fields[1] != "":
            ip = "http://" + fields[1] + ":8050" # adding http and port because this is the needed scheme
        if fields[2] != "":
            useragent = fields[2]
        data.append({"url": url, "ip": ip, "ua": useragent})
    return data


class MySpider(Spider):
    name = 'splash_spider'  # Name of Spider

    # notice that we don't need to define start_urls
    # just make sure to get all the urls you want to scrape inside start_requests function

    # 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 req in requests:
            # no need to create custom middlewares
            # just pass useragent using the headers param, and pass proxy using the meta param

            yield SplashRequest(url=req["url"], callback=self.parse, args={"wait": 3},
                    headers={"User-Agent": req["ua"]},
                    splash_url = req["ip"],
                    )

    # Scraping
    def parse(self, response):
        item = GameItem()
        saved_name = ""

        item["Category"] = response.css("span.titletext::text").extract()
        for game in response.css("tr[class^=deckdbbody]"):
            saved_name  = game.css("a.card_popup::text").extract_first() or saved_name
            item["card_name"] = saved_name.strip()

            if item["card_name"] != None:
                saved_name = item["card_name"].strip()
            else:
                item["card_name"] = saved_name

            item["Condition"] = game.css("td[class^=deckdbbody].search_results_7 a::text").get()
            item["stock"] = game.css("td[class^=deckdbbody].search_results_8::text").extract_first()
            item["Price"] = game.css("td[class^=deckdbbody].search_results_9::text").extract_first()

            yield item

        next_page = response.xpath('//a[contains(., "- Next>>")]/@href').get()
        if next_page is not None:
            yield response.follow(next_page, self.parse)

存储 URL 的 CSV 文件

http://www.starcitygames.com/catalog/category/Duel%20Decks%20Venser%20vs%20Koth,204.152.114.229,Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9a1) Gecko/20070308 Minefield/3.0a1 
http://www.starcitygames.com/catalog/category/Duel%20Decks%20Zendikar%20vs%20Eldrazi,,
http://www.starcitygames.com/catalog/category/Duels%20of%20the%20Planeswalkers,,

Answer 1

可能是使用并发的缘故。尝试在 settings.py:

下面的行中禁用并发 adding/changing

CONCURRENT_REQUESTS = 1

编辑：哦，抱歉，让我们尝试另一件事。你知道属性 start_urls 的工作原理吗？它是 Spider class 的特殊属性，您可以为其分配一个 URL 列表，它会运行每个直到结束。

它将像这样工作：

class MySpyder(Spyder):
   name = 'MySpyder'
   start_urls = ['url1', 'url2'...]

   def parse(self):
      [do parse stuff]

您可以读取您的 csv 并将其转换为 url 列表。

抓取多个网页，结果输出乱序

Scraping multiple webpages and results are being outputted out of order

python

scrapy

splash-screen

scrapy-splash