scrapy 相关
Spider类的一些自定制
- # Spider类 自定义 起始解析器
- def start_requests(self):
- for url in self.start_urls:
- yield Request(url=url,callback=self.myparse)
- # 起始会先经过这个视图函数返回一个 列表或者 一个生成器
- yield Request(url=page_url, callback=self.parse) #指定解析函数
parse函数的参数之response
- # print(response.request) # 将请求对象也封装在了response中
- # print(response.url) # 请求的url
- # print(response.headers) # 响应的头
- # print(response.headers['Set-Cookie']) # 原始cookies
- ['_auto_detect_fun', '_body', '_body_declared_encoding', '_body_inferred
- _encoding', '_cached_benc', '_cached_selector', '_cached_ubody', '_declared_encoding', '_encoding', '_get_body', '_get_url', '_headers_encoding', '_se
- t_body', '_set_url', '_url', 'body', 'body_as_unicode', 'copy', 'css', 'encoding', 'flags', 'follow', 'headers', 'meta', 'replace', 'request', 'select
- or', 'status', 'text', 'url', 'urljoin', 'xpath']
参数
获取状态码 response.status
CookiesMiddleware
- class
scrapy.contrib.downloadermiddleware.cookies.
CookiesMiddleware
-
该中间件使得爬取需要cookie(例如使用session)的网站成为了可能。 其追踪了web server发送的cookie,并在之后的request中发送回去, 就如浏览器所做的那样。
以下设置可以用来配置cookie中间件:
单spider多cookie session
0.15 新版功能.
Scrapy通过使用 cookiejar
Request meta key来支持单spider追踪多cookie session。 默认情况下其使用一个cookie jar(session),不过您可以传递一个标示符来使用多个。
例如:
- for i, url in enumerate(urls):
- yield scrapy.Request("http://www.example.com", meta={'cookiejar': i},
- callback=self.parse_page)
需要注意的是 cookiejar
meta key不是”黏性的(sticky)”。 您需要在之后的request请求中接着传递。例如:
- def parse_page(self, response):
- # do some processing
- return scrapy.Request("http://www.example.com/otherpage",
- meta={'cookiejar': response.meta['cookiejar']},
- callback=self.parse_other_page)
- # from scrapy.http.cookies import CookieJar
# cookiejar = CookieJar()
# cookiejar.extract_cookies(response, response.request)
# temp = {}
# for k, v in cookiejar._cookies.items():
# for i, j in v.items():
# for m, n in j.items():
# temp[m] = n.value
# self.cookie_dic.update(temp)
yeild Request(url=url,
cookies = self.cookie_dic
)
# 该方法是原始的手动操作cookie
COOKIES_ENABLED
默认: True
是否启用cookies middleware。如果关闭,cookies将不会发送给web server。
COOKIES_DEBUG
默认: False
如果启用,Scrapy将记录所有在request(Cookie
请求头)发送的cookies及response接收到的cookies(Set-Cookie
接收头)。
下边是启用 COOKIES_DEBUG
的记录的样例:
- 2011-04-06 14:35:10-0300 [diningcity] INFO: Spider opened
- 2011-04-06 14:35:10-0300 [diningcity] DEBUG: Sending cookies to: <GET http://www.diningcity.com/netherlands/index.html>
- Cookie: clientlanguage_nl=en_EN
- 2011-04-06 14:35:14-0300 [diningcity] DEBUG: Received cookies from: <200 http://www.diningcity.com/netherlands/index.html>
- Set-Cookie: JSESSIONID=B~FA4DC0C496C8762AE4F1A620EAB34F38; Path=/
- Set-Cookie: ip_isocode=US
- Set-Cookie: clientlanguage_nl=en_EN; Expires=Thu, 07-Apr-2011 21:21:34 GMT; Path=/
- 2011-04-06 14:49:50-0300 [diningcity] DEBUG: Crawled (200) <GET http://www.diningcity.com/netherlands/index.html> (referer: None)
- [...]
pipelines
- 当根据配置文件:
- ITEM_PIPELINES = {
- 'xiangmu.pipelines.FilePipeline': 300,
- 'xiangmu.pipelines.DBPipeline': 301,
- }
- 找到相关的类:FilePipeline之后,会优先判断类中是否含有 from_crawler
- 如果有:
- obj = FilePipeline.from_crawler()
- 没有则:
- obj = FilePipeline()
- obj.open_spider(..)
- ob.process_item(..)
- obj.close_spider(..)
- class FilePipeline(object):
- def __init__(self,path):
- self.path = path
- self.f = None
- @classmethod
- def from_crawler(cls, crawler):
- """
- 初始化时候,用于创建pipeline对象
- :param crawler:
- :return:
- """
- # return cls()
- path = crawler.settings.get('XL_FILE_PATH')
- return cls(path)
- def process_item(self, item, spider):
- self.f.write(item['href']+'\n')
- return item
- # 表示将item丢弃,不会被后续pipeline处理
- # raise DropItem()
- def open_spider(self, spider):
- """
- 爬虫开始执行时,调用
- :param spider:
- :return:
- """
- self.f = open(self.path,'w')
- def close_spider(self, spider):
- """
- 爬虫关闭时,被调用
- :param spider:
- :return:
- """
- self.f.close()
自定义文件pipline
- class DBPipeline():
- def __init__(self,conn):
- self.conn = conn
- @classmethod
- def from_crawler(cls,crawler):
- import pymysql
- conn = pymysql.connect(host='127.0.0.1',password='',port=3306,db='s10',user='root',charset='utf8')
- # pool = crawler.settings.get('MYSQLPOOL')
- return cls(conn)
- def process_item(self,item,spider):
- print(item['href'],item['text'])
- self.cursor.execute('insert into url (url,title) VALUES (%s,%s)',(item['href'],item['text']))
- return item
- def open_spider(self,spider):
- self.cursor = self.conn.cursor()
- def close_spider(self,spider):
- self.conn.commit()
- self.conn.close()
自定义数据库piplines
去重DupeFilter
在scrapy 中是有个默认去重的
如果想自定义去重需要在setting
- DUPEFILTER_CLASS = 'pachong.dupefilter.MyDupeFilter'
- from scrapy.dupefilter import BaseDupeFilter
- from scrapy.utils.request import request_fingerprint
- class MyDupeFilter(BaseDupeFilter):
- def __init__(self, path=None, debug=False):
- self.record = set()
- @classmethod
- def from_settings(cls, settings):
- return cls()
- def request_seen(self, request):
- fingerprint = request_fingerprint(request)
- if fingerprint in self.record:
- print('已经访问过')
- return True
- else:
- self.record.add(fingerprint)
- def request_fingerprint(self, request):
- pass
- def close(self, reason):
- pass
自定义去重
中间件
- class SpiderMiddleware(object):
- def process_spider_input(self,response, spider):
- """
- 下载完成,执行,然后交给parse处理
- :param response:
- :param spider:
- :return:
- """
- pass
- def process_spider_output(self,response, result, spider):
- """
- spider处理完成,返回时调用
- :param response:
- :param result:
- :param spider:
- :return: 必须返回包含 Request 或 Item 对象的可迭代对象(iterable)
- """
- return result
- def process_spider_exception(self,response, exception, spider):
- """
- 异常调用
- :param response:
- :param exception:
- :param spider:
- :return: None,继续交给后续中间件处理异常;含 Response 或 Item 的可迭代对象(iterable),交给调度器或pipeline
- """
- return None
- def process_start_requests(self,start_requests, spider):
- """
- 爬虫启动时调用
- :param start_requests:
- :param spider:
- :return: 包含 Request 对象的可迭代对象
- """
- return start_requests
- 爬虫中间件
下载器中间件
- class DownMiddleware1(object):
- def process_request(self, request, spider):
- """
- 请求需要被下载时,经过所有下载器中间件的process_request调用
- :param request:
- :param spider:
- :return:
- None,继续后续中间件去下载;
- Response对象,停止process_request的执行,开始执行process_response
- Request对象,停止中间件的执行,将Request重新调度器
- raise IgnoreRequest异常,停止process_request的执行,开始执行process_exception
- """
- pass
- def process_response(self, request, response, spider):
- """
- spider处理完成,返回时调用
- :param response:
- :param result:
- :param spider:
- :return:
- Response 对象:转交给其他中间件process_response
- Request 对象:停止中间件,request会被重新调度下载
- raise IgnoreRequest 异常:调用Request.errback
- """
- print('response1')
- return response
- def process_exception(self, request, exception, spider):
- """
- 当下载处理器(download handler)或 process_request() (下载中间件)抛出异常
- :param response:
- :param exception:
- :param spider:
- :return:
- None:继续交给后续中间件处理异常;
- Response对象:停止后续process_exception方法
- Request对象:停止中间件,request将会被重新调用下载
- """
- return None
下载中间件
其他
- # -*- coding: utf-8 -*-
- # Scrapy settings for step8_king 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
- # 1. 爬虫名称
- BOT_NAME = 'step8_king'
- # 2. 爬虫应用路径
- SPIDER_MODULES = ['step8_king.spiders']
- NEWSPIDER_MODULE = 'step8_king.spiders'
- # Crawl responsibly by identifying yourself (and your website) on the user-agent
- # 3. 客户端 user-agent请求头
- # USER_AGENT = 'step8_king (+http://www.yourdomain.com)'
- # Obey robots.txt rules
- # 4. 禁止爬虫配置
- # ROBOTSTXT_OBEY = False
- # Configure maximum concurrent requests performed by Scrapy (default: 16)
- # 5. 并发请求数
- # CONCURRENT_REQUESTS = 4
- # 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
- # 6. 延迟下载秒数
- # DOWNLOAD_DELAY = 2
- # The download delay setting will honor only one of:
- # 7. 单域名访问并发数,并且延迟下次秒数也应用在每个域名
- # CONCURRENT_REQUESTS_PER_DOMAIN = 2
- # 单IP访问并发数,如果有值则忽略:CONCURRENT_REQUESTS_PER_DOMAIN,并且延迟下次秒数也应用在每个IP
- # CONCURRENT_REQUESTS_PER_IP = 3
- # Disable cookies (enabled by default)
- # 8. 是否支持cookie,cookiejar进行操作cookie
- # COOKIES_ENABLED = True
- # COOKIES_DEBUG = True
- # Disable Telnet Console (enabled by default)
- # 9. Telnet用于查看当前爬虫的信息,操作爬虫等...
- # 使用telnet ip port ,然后通过命令操作
- # TELNETCONSOLE_ENABLED = True
- # TELNETCONSOLE_HOST = '127.0.0.1'
- # TELNETCONSOLE_PORT = [6023,]
- # 10. 默认请求头
- # 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',
- # }
- # Configure item pipelines
- # See http://scrapy.readthedocs.org/en/latest/topics/item-pipeline.html
- # 11. 定义pipeline处理请求
- # ITEM_PIPELINES = {
- # 'step8_king.pipelines.JsonPipeline': 700,
- # 'step8_king.pipelines.FilePipeline': 500,
- # }
- # 12. 自定义扩展,基于信号进行调用
- # Enable or disable extensions
- # See http://scrapy.readthedocs.org/en/latest/topics/extensions.html
- # EXTENSIONS = {
- # # 'step8_king.extensions.MyExtension': 500,
- # }
- # 13. 爬虫允许的最大深度,可以通过meta查看当前深度;0表示无深度
- # DEPTH_LIMIT = 3
- # 14. 爬取时,0表示深度优先Lifo(默认);1表示广度优先FiFo
- # 后进先出,深度优先
- # DEPTH_PRIORITY = 0
- # SCHEDULER_DISK_QUEUE = 'scrapy.squeue.PickleLifoDiskQueue'
- # SCHEDULER_MEMORY_QUEUE = 'scrapy.squeue.LifoMemoryQueue'
- # 先进先出,广度优先
- # DEPTH_PRIORITY = 1
- # SCHEDULER_DISK_QUEUE = 'scrapy.squeue.PickleFifoDiskQueue'
- # SCHEDULER_MEMORY_QUEUE = 'scrapy.squeue.FifoMemoryQueue'
- # 15. 调度器队列
- # SCHEDULER = 'scrapy.core.scheduler.Scheduler'
- # from scrapy.core.scheduler import Scheduler
- # 16. 访问URL去重
- # DUPEFILTER_CLASS = 'step8_king.duplication.RepeatUrl'
- # Enable and configure the AutoThrottle extension (disabled by default)
- # See http://doc.scrapy.org/en/latest/topics/autothrottle.html
- """
- 17. 自动限速算法
- from scrapy.contrib.throttle import AutoThrottle
- 自动限速设置
- 1. 获取最小延迟 DOWNLOAD_DELAY
- 2. 获取最大延迟 AUTOTHROTTLE_MAX_DELAY
- 3. 设置初始下载延迟 AUTOTHROTTLE_START_DELAY
- 4. 当请求下载完成后,获取其"连接"时间 latency,即:请求连接到接受到响应头之间的时间
- 5. 用于计算的... AUTOTHROTTLE_TARGET_CONCURRENCY
- target_delay = latency / self.target_concurrency
- new_delay = (slot.delay + target_delay) / 2.0 # 表示上一次的延迟时间
- new_delay = max(target_delay, new_delay)
- new_delay = min(max(self.mindelay, new_delay), self.maxdelay)
- slot.delay = new_delay
- """
- # 开始自动限速
- # AUTOTHROTTLE_ENABLED = True
- # The initial download delay
- # 初始下载延迟
- # AUTOTHROTTLE_START_DELAY = 5
- # The maximum download delay to be set in case of high latencies
- # 最大下载延迟
- # AUTOTHROTTLE_MAX_DELAY = 10
- # The average number of requests Scrapy should be sending in parallel to each remote server
- # 平均每秒并发数
- # AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0
- # Enable showing throttling stats for every response received:
- # 是否显示
- # AUTOTHROTTLE_DEBUG = True
- # Enable and configure HTTP caching (disabled by default)
- # See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings
- """
- 18. 启用缓存
- 目的用于将已经发送的请求或相应缓存下来,以便以后使用
- from scrapy.downloadermiddlewares.httpcache import HttpCacheMiddleware
- from scrapy.extensions.httpcache import DummyPolicy
- from scrapy.extensions.httpcache import FilesystemCacheStorage
- """
- # 是否启用缓存策略
- # HTTPCACHE_ENABLED = True
- # 缓存策略:所有请求均缓存,下次在请求直接访问原来的缓存即可
- # HTTPCACHE_POLICY = "scrapy.extensions.httpcache.DummyPolicy"
- # 缓存策略:根据Http响应头:Cache-Control、Last-Modified 等进行缓存的策略
- # HTTPCACHE_POLICY = "scrapy.extensions.httpcache.RFC2616Policy"
- # 缓存超时时间
- # HTTPCACHE_EXPIRATION_SECS = 0
- # 缓存保存路径
- # HTTPCACHE_DIR = 'httpcache'
- # 缓存忽略的Http状态码
- # HTTPCACHE_IGNORE_HTTP_CODES = []
- # 缓存存储的插件
- # HTTPCACHE_STORAGE = 'scrapy.extensions.httpcache.FilesystemCacheStorage'
- """
- 19. 代理,需要在环境变量中设置
- from scrapy.contrib.downloadermiddleware.httpproxy import HttpProxyMiddleware
- 方式一:使用默认
- os.environ
- {
- http_proxy:http://root:woshiniba@192.168.11.11:9999/
- https_proxy:http://192.168.11.11:9999/
- }
- 方式二:使用自定义下载中间件
- def to_bytes(text, encoding=None, errors='strict'):
- if isinstance(text, bytes):
- return text
- if not isinstance(text, six.string_types):
- raise TypeError('to_bytes must receive a unicode, str or bytes '
- 'object, got %s' % type(text).__name__)
- if encoding is None:
- encoding = 'utf-8'
- return text.encode(encoding, errors)
- class ProxyMiddleware(object):
- def process_request(self, request, spider):
- PROXIES = [
- {'ip_port': '111.11.228.75:80', 'user_pass': ''},
- {'ip_port': '120.198.243.22:80', 'user_pass': ''},
- {'ip_port': '111.8.60.9:8123', 'user_pass': ''},
- {'ip_port': '101.71.27.120:80', 'user_pass': ''},
- {'ip_port': '122.96.59.104:80', 'user_pass': ''},
- {'ip_port': '122.224.249.122:8088', 'user_pass': ''},
- ]
- proxy = random.choice(PROXIES)
- if proxy['user_pass'] is not None:
- request.meta['proxy'] = to_bytes("http://%s" % proxy['ip_port'])
- encoded_user_pass = base64.encodestring(to_bytes(proxy['user_pass']))
- request.headers['Proxy-Authorization'] = to_bytes('Basic ' + encoded_user_pass)
- print "**************ProxyMiddleware have pass************" + proxy['ip_port']
- else:
- print "**************ProxyMiddleware no pass************" + proxy['ip_port']
- request.meta['proxy'] = to_bytes("http://%s" % proxy['ip_port'])
- DOWNLOADER_MIDDLEWARES = {
- 'step8_king.middlewares.ProxyMiddleware': 500,
- }
- """
- """
- 20. Https访问
- Https访问时有两种情况:
- 1. 要爬取网站使用的可信任证书(默认支持)
- DOWNLOADER_HTTPCLIENTFACTORY = "scrapy.core.downloader.webclient.ScrapyHTTPClientFactory"
- DOWNLOADER_CLIENTCONTEXTFACTORY = "scrapy.core.downloader.contextfactory.ScrapyClientContextFactory"
- 2. 要爬取网站使用的自定义证书
- DOWNLOADER_HTTPCLIENTFACTORY = "scrapy.core.downloader.webclient.ScrapyHTTPClientFactory"
- DOWNLOADER_CLIENTCONTEXTFACTORY = "step8_king.https.MySSLFactory"
- # https.py
- from scrapy.core.downloader.contextfactory import ScrapyClientContextFactory
- from twisted.internet.ssl import (optionsForClientTLS, CertificateOptions, PrivateCertificate)
- class MySSLFactory(ScrapyClientContextFactory):
- def getCertificateOptions(self):
- from OpenSSL import crypto
- v1 = crypto.load_privatekey(crypto.FILETYPE_PEM, open('/Users/wupeiqi/client.key.unsecure', mode='r').read())
- v2 = crypto.load_certificate(crypto.FILETYPE_PEM, open('/Users/wupeiqi/client.pem', mode='r').read())
- return CertificateOptions(
- privateKey=v1, # pKey对象
- certificate=v2, # X509对象
- verify=False,
- method=getattr(self, 'method', getattr(self, '_ssl_method', None))
- )
- 其他:
- 相关类
- scrapy.core.downloader.handlers.http.HttpDownloadHandler
- scrapy.core.downloader.webclient.ScrapyHTTPClientFactory
- scrapy.core.downloader.contextfactory.ScrapyClientContextFactory
- 相关配置
- DOWNLOADER_HTTPCLIENTFACTORY
- DOWNLOADER_CLIENTCONTEXTFACTORY
- """
- """
- 21. 爬虫中间件
- class SpiderMiddleware(object):
- def process_spider_input(self,response, spider):
- '''
- 下载完成,执行,然后交给parse处理
- :param response:
- :param spider:
- :return:
- '''
- pass
- def process_spider_output(self,response, result, spider):
- '''
- spider处理完成,返回时调用
- :param response:
- :param result:
- :param spider:
- :return: 必须返回包含 Request 或 Item 对象的可迭代对象(iterable)
- '''
- return result
- def process_spider_exception(self,response, exception, spider):
- '''
- 异常调用
- :param response:
- :param exception:
- :param spider:
- :return: None,继续交给后续中间件处理异常;含 Response 或 Item 的可迭代对象(iterable),交给调度器或pipeline
- '''
- return None
- def process_start_requests(self,start_requests, spider):
- '''
- 爬虫启动时调用
- :param start_requests:
- :param spider:
- :return: 包含 Request 对象的可迭代对象
- '''
- return start_requests
- 内置爬虫中间件:
- 'scrapy.contrib.spidermiddleware.httperror.HttpErrorMiddleware': 50,
- 'scrapy.contrib.spidermiddleware.offsite.OffsiteMiddleware': 500,
- 'scrapy.contrib.spidermiddleware.referer.RefererMiddleware': 700,
- 'scrapy.contrib.spidermiddleware.urllength.UrlLengthMiddleware': 800,
- 'scrapy.contrib.spidermiddleware.depth.DepthMiddleware': 900,
- """
- # from scrapy.contrib.spidermiddleware.referer import RefererMiddleware
- # Enable or disable spider middlewares
- # See http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html
- SPIDER_MIDDLEWARES = {
- # 'step8_king.middlewares.SpiderMiddleware': 543,
- }
- """
- 22. 下载中间件
- class DownMiddleware1(object):
- def process_request(self, request, spider):
- '''
- 请求需要被下载时,经过所有下载器中间件的process_request调用
- :param request:
- :param spider:
- :return:
- None,继续后续中间件去下载;
- Response对象,停止process_request的执行,开始执行process_response
- Request对象,停止中间件的执行,将Request重新调度器
- raise IgnoreRequest异常,停止process_request的执行,开始执行process_exception
- '''
- pass
- def process_response(self, request, response, spider):
- '''
- spider处理完成,返回时调用
- :param response:
- :param result:
- :param spider:
- :return:
- Response 对象:转交给其他中间件process_response
- Request 对象:停止中间件,request会被重新调度下载
- raise IgnoreRequest 异常:调用Request.errback
- '''
- print('response1')
- return response
- def process_exception(self, request, exception, spider):
- '''
- 当下载处理器(download handler)或 process_request() (下载中间件)抛出异常
- :param response:
- :param exception:
- :param spider:
- :return:
- None:继续交给后续中间件处理异常;
- Response对象:停止后续process_exception方法
- Request对象:停止中间件,request将会被重新调用下载
- '''
- return None
- 默认下载中间件
- {
- 'scrapy.contrib.downloadermiddleware.robotstxt.RobotsTxtMiddleware': 100,
- 'scrapy.contrib.downloadermiddleware.httpauth.HttpAuthMiddleware': 300,
- 'scrapy.contrib.downloadermiddleware.downloadtimeout.DownloadTimeoutMiddleware': 350,
- 'scrapy.contrib.downloadermiddleware.useragent.UserAgentMiddleware': 400,
- 'scrapy.contrib.downloadermiddleware.retry.RetryMiddleware': 500,
- 'scrapy.contrib.downloadermiddleware.defaultheaders.DefaultHeadersMiddleware': 550,
- 'scrapy.contrib.downloadermiddleware.redirect.MetaRefreshMiddleware': 580,
- 'scrapy.contrib.downloadermiddleware.httpcompression.HttpCompressionMiddleware': 590,
- 'scrapy.contrib.downloadermiddleware.redirect.RedirectMiddleware': 600,
- 'scrapy.contrib.downloadermiddleware.cookies.CookiesMiddleware': 700,
- 'scrapy.contrib.downloadermiddleware.httpproxy.HttpProxyMiddleware': 750,
- 'scrapy.contrib.downloadermiddleware.chunked.ChunkedTransferMiddleware': 830,
- 'scrapy.contrib.downloadermiddleware.stats.DownloaderStats': 850,
- 'scrapy.contrib.downloadermiddleware.httpcache.HttpCacheMiddleware': 900,
- }
- """
- # from scrapy.contrib.downloadermiddleware.httpauth import HttpAuthMiddleware
- # Enable or disable downloader middlewares
- # See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html
- # DOWNLOADER_MIDDLEWARES = {
- # 'step8_king.middlewares.DownMiddleware1': 100,
- # 'step8_king.middlewares.DownMiddleware2': 500,
- # }
- settings
其他参数
scrapy 相关的更多相关文章
- scrapy相关:splash 实践
0. 1.参考 https://github.com/scrapy-plugins/scrapy-splash#configuration 以此为准 scrapy相关:splash安装 A javas ...
- scrapy相关:splash安装 A javascript rendering service 渲染
0. splash: 美人鱼 溅,泼 1.参考 Splash使用初体验 docker在windows下的安装 https://blog.scrapinghub.com/2015/03/02/hand ...
- scrapy相关 通过设置 FEED_EXPORT_ENCODING 解决 unicode 中文写入json文件出现`\uXXXX`
0.问题现象 爬取 item: 2017-10-16 18:17:33 [scrapy.core.scraper] DEBUG: Scraped from <200 https://www.hu ...
- 【python】scrapy相关
目前scrapy还不支持python3,python2.7与python3.5共存时安装scrapy后,执行scrapy后报错 Traceback (most recent call last): F ...
- linux下scrapy环境搭建
最近使用scrapy做数据挖掘,使用scrapy定时抓取数据并存入MongoDB,本文记录环境搭建过程以作备忘 OS:ubuntu 14.04 python:2.7.6 scrapy:1.0.5 D ...
- pycharm创建scrapy项目教程及遇到的坑
最近学习scrapy爬虫框架,在使用pycharm安装scrapy类库及创建scrapy项目时花费了好长的时间,遇到各种坑,根据网上的各种教程,花费了一晚上的时间,终于成功,其中也踩了一些坑,现在整理 ...
- python-爬虫框架scrapy
一 介绍 Scrapy一个开源和协作的框架,其最初是为了页面抓取 (更确切来说, 网络抓取 )所设计的,使用它可以以快速.简单.可扩展的方式从网站中提取所需的数据.但目前Scrapy的用途十分广泛,可 ...
- 如何运行简单的scrapy
1.建scrapy工程 scrapy startproject python123demo 2.在工程中写一个爬虫文件 cd python123demo scrapy genspider demo p ...
- Scrapy框架——介绍、安装、命令行创建,启动、项目目录结构介绍、Spiders文件夹详解(包括去重规则)、Selectors解析页面、Items、pipelines(自定义pipeline)、下载中间件(Downloader Middleware)、爬虫中间件、信号
一 介绍 Scrapy一个开源和协作的框架,其最初是为了页面抓取 (更确切来说, 网络抓取 )所设计的,使用它可以以快速.简单.可扩展的方式从网站中提取所需的数据.但目前Scrapy的用途十分广泛,可 ...
随机推荐
- ES6 数值扩展
1.Number.isNan 和 Number.isFinite Number.isNaN()用来检查一个值是否为NaN Number.isNaN(NaN) // true Number.isNaN( ...
- 萌新学习Python爬取B站弹幕+R语言分词demo说明
代码地址如下:http://www.demodashi.com/demo/11578.html 一.写在前面 之前在简书首页看到了Python爬虫的介绍,于是就想着爬取B站弹幕并绘制词云,因此有了这样 ...
- Sphinx-实战
配置完成后, 有了数据源.索引文件存储位置等, 便可以使用 indexer 工具创建索引, 收集要被检索的数据 -c 指定配置文件 默认使用 etc/sphinx.conf --all 对所有索引重新 ...
- HTML-HTML5+CSS3权威指南阅读(三、CSS3)
不同的浏览器(包括-moz-代表的Mozilla Firefox, -ms-代表的Microsoft Internet Explorer等)厂商在发布正式版本之前之前, 试验各自对CSS3新特性的实现 ...
- Oracle SQL Developer出现错误 【ora-28002:the password will expire within 7 days】的解决办法
启动 Oracle SQL Developer的时候,点击用户system进行连接并输入密码后(下图左),会出现(下图右)提示信息: 即:[ora-28002:the password will ex ...
- C# 反射只获取自己定义的属性,不获取父类的属性
PropertyInfo[] p = user.GetType().GetProperties(BindingFlags.DeclaredOnly | BindingFlags.Public | Bi ...
- java启动参数 设置
JAVA_MEM_OPTS="" BITS=`java -version 2>&1 | grep -i 64-bit` if [ -n "$BITS&quo ...
- shared-service.ts
shared-service.ts import { Observable } from 'rxjs/Observable'; import { Injectable } from '@angular ...
- linux下使用dd命令写入镜像文件到u盘
1.使用 df -h ,查看一下当前各个磁盘 user@host ~/ $ df -h Filesystem Size Used Avail Use% Mounted on /dev/sda1 119 ...
- CvSplit
/* possible split in the tree */ typedef struct CvSplit { CvTreeCascadeNode* parent; CvTreeCascadeNo ...