我在学习如何使用Scrapy,同时提升我的Python知识?/从学校编码。
目前,我正在使用imdb top 250列表但正在努力使用JSON输出文件。
我目前的代码是:
# -*- coding: utf-8 -*-
import scrapy
from top250imdb.items import Top250ImdbItem
class ActorsSpider(scrapy.Spider):
name = "actors"
allowed_domains = ["imdb.com"]
start_urls = ['http://www.imdb.com/chart/top']
# Parsing each movie and preparing the url for the actors list
def parse(self, response):
for film in response.css('.titleColumn'):
url = film.css('a::attr(href)').extract_first()
actors_url = 'http://imdb.com' + url[:17] + 'fullcredits?ref_=tt_cl_sm#cast'
yield scrapy.Request(actors_url, self.parse_actor)
# Finding all actors and storing them on item
# Refer to items.py
def parse_actor(self, response):
final_list = []
item = Top250ImdbItem()
item['poster'] = response.css('#main img::attr(src)').extract_first()
item['title'] = response.css('h3[itemprop~=name] a::text').extract()
item['photo'] = response.css('#fullcredits_content .loadlate::attr(loadlate)').extract()
item['actors'] = response.css('td[itemprop~=actor] span::text').extract()
final_list.append(item)
updated_list = []
for item in final_list:
for i in range(len(item['title'])):
sub_item = {}
sub_item['movie'] = {}
sub_item['movie']['poster'] = [item['poster']]
sub_item['movie']['title'] = [item['title'][i]]
sub_item['movie']['photo'] = [item['photo']]
sub_item['movie']['actors'] = [item['actors']]
updated_list.append(sub_item)
return updated_list
我的输出文件给了我这个JSON组合:
[
{
"movie": {
"poster": ["https://images-na.ssl-images-amazon.com/poster..."],
"title": ["The Shawshank Redemption"],
"photo": [["https://images-na.ssl-images-amazon.com/photo..."]],
"actors": [["Tim Robbins","Morgan Freeman",...]]}
},{
"movie": {
"poster": ["https://images-na.ssl-images-amazon.com/poster..."],
"title": ["The Godfather"],
"photo": [["https://images-na.ssl-images-amazon.com/photo..."]],
"actors": [["Alexandre Rodrigues", "Leandro Firmino", "Phellipe Haagensen",...]]}
}
]
但我希望实现这一目标:
{
"movies": [{
"poster": "https://images-na.ssl-images-amazon.com/poster...",
"title": "The Shawshank Redemption",
"actors": [
{"photo": "https://images-na.ssl-images-amazon.com/photo...",
"name": "Tim Robbins"},
{"photo": "https://images-na.ssl-images-amazon.com/photo...",
"name": "Morgan Freeman"},...
]
},{
"poster": "https://images-na.ssl-images-amazon.com/poster...",
"title": "The Godfather",
"actors": [
{"photo": "https://images-na.ssl-images-amazon.com/photo...",
"name": "Marlon Brando"},
{"photo": "https://images-na.ssl-images-amazon.com/photo...",
"name": "Al Pacino"},...
]
}]
}
在我的items.py文件中,我有以下内容:
import scrapy
class Top250ImdbItem(scrapy.Item):
# define the fields for your item here like:
# name = scrapy.Field()
# Items from actors.py
poster = scrapy.Field()
title = scrapy.Field()
photo = scrapy.Field()
actors = scrapy.Field()
movie = scrapy.Field()
pass
我了解以下事项:
我的结果没有按顺序出现,网页列表中的第一部电影始终是我输出文件中的第一部电影,但其余部分则没有。我还在努力。
我可以做同样的事情但是使用Top250ImdbItem(),仍然以更详细的方式浏览如何完成。
这可能不是我的JSON的完美布局,建议是受欢迎的,或者如果是,请告诉我,即使我知道没有完美的方式或"唯一的方式"。
有些演员没有照片,实际上会加载不同的CSS选择器。现在,我想避免达到"没有图片缩略图"所以把这些物品留空是可以的。
示例:
{"photo": "", "name": "Al Pacino"}
答案 0 :(得分:0)
问题:...正在努力使用JSON输出文件
注意:无法使用
ActorsSpider
,获取错误:不支持伪元素。
# Define a `dict` **once**
top250ImdbItem = {'movies': []}
def parse_actor(self, response):
poster = response.css(...
title = response.css(...
photos = response.css(...
actors = response.css(...
# Assuming List of Actors are in sync with List of Photos
actors_list = []
for i, actor in enumerate(actors):
actors_list.append({"name": actor, "photo": photos[i]})
one_movie = {"poster": poster,
"title": title,
"actors": actors_list
}
# Append One Movie to Top250 'movies' List
top250ImdbItem['movies'].append(one_movie)