scrapy启动后未执行直接结束?
问题描述
最近在学scrapy,再写一个爬取图片的项目的时候,发现启动爬虫后,未执行函数,直接结束了,找了好久没发现到底是那出问题,网上也没有相关答案
同时调试也是直接结束 断点设置再parse_item
函数的第一行,根本不给面子┭┮﹏┭┮
调试提示↓
pydev debugger: process 3331 is connecting
Connected to pydev debugger (build 193.6494.30)
问题出现的环境背景及自己尝试过哪些方法
- 一开始爬的彼岸图网,后来换了zol壁纸
- 修改headers
- 尝试过重建项目
- 怀疑是不是IP被禁,但是再scrapy shell下可以访问
- 换了一个类似的目标网站同样不行
相关代码
爬虫代码meizi.py
# -*- coding: utf-8 -*-
import scrapy
from ..items import CrawlBiAnItem
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule
class MeiziSpider(CrawlSpider):
name = 'meizi'
allowed_domains = ['sj.zol.com.cn/']
start_urls = ['http://sj.zol.com.cn/bizhi/meinv/2.html']
base_url = 'sj.zol.com.cn/bizhi/meinv'
img_urls = []
rules = (
Rule(LinkExtractor(allow=r'http://sj.zol.com.cn/bizhi/meinv/\d{3,5}.html'),
callback="parse_item", follow=True),
)
def parse_item(self, response):
print("++")
index_urls = response.xpath("//li[@class='photo-list-padding']//a/@href").getall()
for i in index_urls:
index_url = self.base_url + i
yield scrapy.Request(index_url, callback=self.crawl_img_url)
item = CrawlBiAnItem(image_urls=self.img_urls)
yield item
def crawl_img_url(self, response):
img_url = response.xpath("//img[@id='bigImg']/@src").get()
self.img_urls.append(img_url)
pass
setting
import os
from scrapy.pipelines.images import ImagesPipeline
IMAGES_STORE = os.path.join(os.path.dirname(os.path.dirname(__file__)), "images")
BOT_NAME = 'crawl_bi_an'
LOG_LEVEL = 'WARNING'
SPIDER_MODULES = ['crawl_bi_an.spiders']
NEWSPIDER_MODULE = 'crawl_bi_an.spiders'
DEFAULT_REQUEST_HEADERS = {
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
'Accept-Language': 'zh-CN',
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.122 Safari/537.36',
}
ITEM_PIPELINES = {
'scrapy.pipelines.images.ImagesPipeline': 1
}
pipelines.py
# 无
items.py
import scrapy
class CrawlBiAnItem(scrapy.Item):
# define the fields for your item here like:
# name = scrapy.Field()
image_urls = scrapy.Field()
images = scrapy.Field()
pass
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评论(2)
改下:
如果还不行,贴下打印日志
你应该在在pipline内处理图片