Question

我正在尝试使用Scrapy为 Law＆amp;的每一集中的IMDb数据（剧集信息和演员表）进行搜索。订购：SVU 。运行下面的代码后，我通过命令行使用“scrapy crawl svu -o svu.csv”将其导出为CSV。

以下代码成功提取了剧集信息，但CSV不包含演员表。如何修复代码以提取和导出剧集信息和演员表？

我的想法＆amp;尝试：

我认为提取列表是因为它是蜘蛛运行时在终端中可见，因此可能是导出问题。
如果我注释掉我的第一个Yield语句（剧集信息），则会成功导出演员表。这让我觉得这不仅仅是出口问题。

感谢您的帮助！

import scrapy

class SvuSpider(scrapy.Spider):
    name = "svu"
    start_urls = [
        'https://www.imdb.com/title/tt0629700/?ref_=ttep_ep1'
    ]

    def parse(self, response):
        # Gather episode information
        yield {
            'season': response.xpath("//div[@class='bp_heading']/text()")[0].extract(),
            'episode': response.xpath("//div[@class='bp_heading']/text()")[1].extract(),
            'episode_name': response.xpath("//h1[@itemprop='name']/text()").extract_first().strip(),
            'date_published': response.xpath("//div[@class='subtext']/a/meta[@itemprop='datePublished']/@content").extract(),
            'rating_value': response.xpath("//span[@itemprop='ratingValue']/text()").extract(),
            'rating_count': response.xpath("//span[@itemprop='ratingCount']/text()").extract()
        }

        # Follow link to full cast list
        for a in response.xpath("//div[@class='see-more']/a"):
            yield response.follow(a, callback=self.parse_cast)

        # Follow link to next episode
        for a in response.xpath("//a[@class='bp_item np_next']"):
            yield response.follow(a, callback=self.parse)

    def parse_cast(self,response):
        # Gather cast list data
        for actor in response.xpath("//table[@class='cast_list']"):
            yield {
                'actor': response.xpath("//td[@itemprop='actor']/a/span[@itemprop='name']/text()").extract(),
                'character': response.xpath("//td[@class='character']/a/text()").extract()
            }

Answer 1

我在代码中添加了更改。另外，我将向您展示如何使用项目和管道。

蜘蛛/ svu.py

# -*- coding: utf-8 -*-
import scrapy
from ..items import EpisodeItem, CastItem

class SvuSpider(scrapy.Spider):
    name = "svu"
    start_urls = [
        'https://www.imdb.com/title/tt0629700/?ref_=ttep_ep1'
    ]

    def parse(self, response):
        # Gather episode information
        item = EpisodeItem(
            season=response.xpath("//div[@class='bp_heading']/text()")[0].extract(),
            episode=response.xpath("//div[@class='bp_heading']/text()")[1].extract(),
            episode_name=response.xpath("//h1[@itemprop='name']/text()").extract_first().strip(),
            date_published=response.xpath("//div[@class='subtext']/a/meta[@itemprop='datePublished']/@content").extract(),
            rating_value=response.xpath("//span[@itemprop='ratingValue']/text()").extract(),
            rating_count=response.xpath("//span[@itemprop='ratingCount']/text()").extract()
        )
        yield item

        # Follow link to full cast list
        for a in response.xpath("//div[@class='see-more']/a"):
            yield response.follow(a, callback=self.parse_cast)

        # Follow link to next episode
        for a in response.xpath("//a[@class='bp_item np_next']"):
            yield response.follow(a, callback=self.parse)

    def parse_cast(self,response):
        # Gather cast list data
        for actor in response.xpath("//table[@class='cast_list']"):
            character = response.xpath("//td[@class='character']/a/text()").extract()
            character.extend(response.xpath("//td[@class='character']/text()").extract())
            character = [c.strip().replace('\n ', '') for c in character if c.strip()]
            item = CastItem(
                actor=response.xpath("//td[@itemprop='actor']/a/span[@itemprop='name']/text()").extract(),
                character=character
            )
            yield item

items.py

from scrapy import Item, Field

    class EpisodeItem(Item):
        season = Field()
        episode = Field()
        episode_name = Field()
        date_published = Field()
        rating_value = Field()
        rating_count = Field()

    class CastItem(Item):
        actor = Field()
        character = Field()

pipelines.py

from scrapy import signals
from scrapy.exporters import CsvItemExporter

from .items import CastItem, EpisodeItem

class IMDBPipeline(object):

    @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):
        item_names = ['episode', 'cast']
        self.files = self.files = {n: open('%s.csv' % n, 'w+b') for n in item_names}
        self.exporters = {n: CsvItemExporter(f) for n, f in self.files.items()}
        for exporter in self.exporters.values():
            exporter.start_exporting()

    def spider_closed(self, spider):
        for exporter in self.exporters.values():
            exporter.finish_exporting()

        for file in self.files.values():
            file.close()

    def process_item(self, item, spider):
        if isinstance(item, EpisodeItem):
            self.exporters['episode'].export_item(item)

        if isinstance(item, CastItem):
            self.exporters['cast'].export_item(item)

        return item

添加到设置文件：

ITEM_PIPELINES = {
    'PROJECT_NAME.pipelines.IMDBPipeline': 300,
}

小心点。您需要将PROJECT_NAME替换为您的。

为什么我的Scrapy蜘蛛只会刮掉我的一些数据？

1 个答案: