我是scrapy的新手并且遵循此tutorial
但我一直没有得到名为datablogger_scraper的模块。我在items.py和settings.py中将其命名为如下所示。这个名字对我来说是正确的
我想也许它的名字不正确，所以我尝试了这个例子，但是将所有数据记录器更改为datablogger1但仍然发出。
为什么它会给我这个问题？
谢谢
我明白了：
C:\Users\dac\AppData\Local\Continuum\miniconda3\python.exe C:/Users/dac/PycharmProjects/datablogger_scraper/datablogger_scraper/spiders/datablogger.py
C:/Users/dac/PycharmProjects/datablogger_scraper/datablogger_scraper/spiders/datablogger.py:7: ScrapyDeprecationWarning: Module `scrapy.linkextractor` is deprecated, use `scrapy.linkextractors` instead
from scrapy.linkextractor import LinkExtractor
Traceback (most recent call last):
File "C:/Users/dac/PycharmProjects/datablogger_scraper/datablogger_scraper/spiders/datablogger.py", line 9, in <module>
from datablogger_scraper.items import DatabloggerScraperItem
ModuleNotFoundError: No module named 'datablogger_scraper'
这：ModuleNotFoundError: No module named 'datablogger_scraper'
当我跑步时：
scrapy crawl datablogger -o links.csv -t csv
# -*- coding: utf-8 -*-
import scrapy
from scrapy.linkextractor import LinkExtractor
from scrapy.spiders import Rule, CrawlSpider
from datablogger_scraper.items import DatabloggerScraperItem
class DatabloggerSpider(CrawlSpider):
# The name of the spider
name = "datablogger"
# The domains that are allowed (links to other domains are skipped)
allowed_domains = ["data-blogger.com"]
# The URLs to start with
start_urls = ["https://www.data-blogger.com/"]
# This spider has one rule: extract all (unique and canonicalized) links, follow them and parse them using the parse_items method
rules = [
Rule(
LinkExtractor(
canonicalize=True,
unique=True
),
follow=True,
callback="parse_items"
)
]
# Method which starts the requests by visiting all URLs specified in start_urls
def start_requests(self):
for url in self.start_urls:
yield scrapy.Request(url, callback=self.parse, dont_filter=True)
# Method for parsing items
def parse_items(self, response):
# The list of items that are found on the particular page
items = []
# Only extract canonicalized and unique links (with respect to the current page)
links = LinkExtractor(canonicalize=True, unique=True).extract_links(response)
# Now go through all the found links
for link in links:
# Check whether the domain of the URL of the link is allowed; so whether it is in one of the allowed domains
is_allowed = False
for allowed_domain in self.allowed_domains:
if allowed_domain in link.url:
is_allowed = True
# If it is allowed, create a new item and add it to the list of found items
if is_allowed:
item = DatabloggerScraperItem()
item['url_from'] = response.url
item['url_to'] = link.url
items.append(item)
# Return all the found items
return items
Items.py：
import scrapy
class DatabloggerScraperItem(scrapy.Item):
# The source URL
url_from = scrapy.Field()
# The destination URL
url_to = scrapy.Field()
设定：
# -*- coding: utf-8 -*-
# Scrapy settings for datablogger_scraper project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
# http://doc.scrapy.org/en/latest/topics/settings.html
# http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html
# http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html
BOT_NAME = 'datablogger_scraper'
SPIDER_MODULES = ['datablogger_scraper.spiders']
NEWSPIDER_MODULE = 'datablogger_scraper.spiders'
# Crawl responsibly by identifying yourself (and your website) on the user-agent
#USER_AGENT = 'datablogger_scraper (+http://www.yourdomain.com)'
# Obey robots.txt rules
ROBOTSTXT_OBEY = True
# Configure maximum concurrent requests performed by Scrapy (default: 16)
#CONCURRENT_REQUESTS = 32
# Configure a delay for requests for the same website (default: 0)
# See http://scrapy.readthedocs.org/en/latest/topics/settings.html#download-delay
# See also autothrottle settings and docs
#DOWNLOAD_DELAY = 3
# The download delay setting will honor only one of:
#CONCURRENT_REQUESTS_PER_DOMAIN = 16
#CONCURRENT_REQUESTS_PER_IP = 16
# Disable cookies (enabled by default)
#COOKIES_ENABLED = False
# Disable Telnet Console (enabled by default)
#TELNETCONSOLE_ENABLED = False
# Override the default request headers:
#DEFAULT_REQUEST_HEADERS = {
# 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
# 'Accept-Language': 'en',
#}
# Enable or disable spider middlewares
# See http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html
#SPIDER_MIDDLEWARES = {
# 'datablogger_scraper.middlewares.DatabloggerScraperSpiderMiddleware': 543,
#}
# Enable or disable downloader middlewares
# See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html
#DOWNLOADER_MIDDLEWARES = {
# 'datablogger_scraper.middlewares.MyCustomDownloaderMiddleware': 543,
#}
# Enable or disable extensions
# See http://scrapy.readthedocs.org/en/latest/topics/extensions.html
#EXTENSIONS = {
# 'scrapy.extensions.telnet.TelnetConsole': None,
#}
# Configure item pipelines
# See http://scrapy.readthedocs.org/en/latest/topics/item-pipeline.html
#ITEM_PIPELINES = {
# 'datablogger_scraper.pipelines.DatabloggerScraperPipeline': 300,
#}
# Enable and configure the AutoThrottle extension (disabled by default)
# See http://doc.scrapy.org/en/latest/topics/autothrottle.html
#AUTOTHROTTLE_ENABLED = True
# The initial download delay
#AUTOTHROTTLE_START_DELAY = 5
# The maximum download delay to be set in case of high latencies
#AUTOTHROTTLE_MAX_DELAY = 60
# The average number of requests Scrapy should be sending in parallel to
# each remote server
#AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0
# Enable showing throttling stats for every response received:
#AUTOTHROTTLE_DEBUG = False
# Enable and configure HTTP caching (disabled by default)
# See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings
#HTTPCACHE_ENABLED = True
#HTTPCACHE_EXPIRATION_SECS = 0
#HTTPCACHE_DIR = 'httpcache'
#HTTPCACHE_IGNORE_HTTP_CODES = []
#HTTPCACHE_STORAGE = 'scrapy.extensions.httpcache.FilesystemCacheStorage'