python爬虫

scrapy源码分析<一>：入口函数以及是如何运行

李魔佛发表了文章 • 0 个评论 • 91 次浏览 • 2019-08-31 10:47 • 来自相关话题

运行scrapy crawl example 命令的时候，就会执行我们写的爬虫程序。
下面我们从源码分析一下scrapy执行的流程：

执行scrapy crawl 命令时，调用的是Command类class Command(ScrapyCommand):

requires_project = True

def syntax(self):
return '[options]'

def short_desc(self):
return 'Runs all of the spiders - My Defined'

def run(self,args,opts):
print('==================')
print(type(self.crawler_process))
spider_list = self.crawler_process.spiders.list() # 找到爬虫类

for name in spider_list:
print('=================')
print(name)
self.crawler_process.crawl(name,**opts.__dict__)

self.crawler_process.start()
然后我们去看看crawler_process，这个是来自ScrapyCommand，而ScrapyCommand又是CrawlerProcess的子类，而CrawlerProcess又是CrawlerRunner的子类

在CrawlerRunner构造函数里面主要作用就是这个 def __init__(self, settings=None):
if isinstance(settings, dict) or settings is None:
settings = Settings(settings)
self.settings = settings
self.spider_loader = _get_spider_loader(settings) # 构造爬虫
self._crawlers = set()
self._active = set()
self.bootstrap_failed = False
1. 加载配置文件def _get_spider_loader(settings):

cls_path = settings.get('SPIDER_LOADER_CLASS')

# settings文件没有定义SPIDER_LOADER_CLASS，所以这里获取到的是系统的默认配置文件，
# 默认配置文件在接下来的代码块A
# SPIDER_LOADER_CLASS = 'scrapy.spiderloader.SpiderLoader'

loader_cls = load_object(cls_path)
# 这个函数就是根据路径转为类对象，也就是上面crapy.spiderloader.SpiderLoader 这个
# 字符串变成一个类对象
# 具体的load_object 对象代码见下面代码块B

return loader_cls.from_settings(settings.frozencopy())
默认配置文件defautl_settting.py# 代码块A
#......省略若干
SCHEDULER = 'scrapy.core.scheduler.Scheduler'
SCHEDULER_DISK_QUEUE = 'scrapy.squeues.PickleLifoDiskQueue'
SCHEDULER_MEMORY_QUEUE = 'scrapy.squeues.LifoMemoryQueue'
SCHEDULER_PRIORITY_QUEUE = 'scrapy.pqueues.ScrapyPriorityQueue'

SPIDER_LOADER_CLASS = 'scrapy.spiderloader.SpiderLoader' 就是这个值
SPIDER_LOADER_WARN_ONLY = False

SPIDER_MIDDLEWARES = {}

load_object的实现# 代码块B 为了方便，我把异常处理的去除
from importlib import import_module #导入第三方库

def load_object(path):
dot = path.rindex('.')
module, name = path[:dot], path[dot+1:]
# 上面把路径分为基本路径+模块名

mod = import_module(module)
obj = getattr(mod, name)
# 获取模块里面那个值

return obj

测试代码：In [33]: mod = import_module(module)

In [34]: mod
Out[34]: <module 'scrapy.spiderloader' from '/home/xda/anaconda3/lib/python3.7/site-packages/scrapy/spiderloader.py'>

In [35]: getattr(mod,name)
Out[35]: scrapy.spiderloader.SpiderLoader

In [36]: obj = getattr(mod,name)

In [37]: obj
Out[37]: scrapy.spiderloader.SpiderLoader

In [38]: type(obj)
Out[38]: type
在代码块A中，loader_cls是SpiderLoader，最后返回的的是SpiderLoader.from_settings(settings.frozencopy())
接下来看看SpiderLoader.from_settings， def from_settings(cls, settings):
return cls(settings)
返回类对象自己，所以直接看__init__函数即可class SpiderLoader(object):
"""
SpiderLoader is a class which locates and loads spiders
in a Scrapy project.
"""
def __init__(self, settings):
self.spider_modules = settings.getlist('SPIDER_MODULES')
# 获得settting中的模块名字，创建scrapy的时候就默认帮你生成了
# 你可以看看你的settings文件里面的内容就可以找到这个值，是一个list

self.warn_only = settings.getbool('SPIDER_LOADER_WARN_ONLY')
self._spiders = {}
self._found = defaultdict(list)
self._load_all_spiders() # 加载所有爬虫

核心就是这个_load_all_spiders：
走起：def _load_all_spiders(self):
for name in self.spider_modules:

for module in walk_modules(name): # 这个遍历文件夹里面的文件，然后再转化为类对象，
# 保存到字典：self._spiders = {}
self._load_spiders(module) # 模块变成spider

self._check_name_duplicates() # 去重，如果名字一样就异常

接下来看看_load_spiders
核心就是下面的。def iter_spider_classes(module):
from scrapy.spiders import Spider

for obj in six.itervalues(vars(module)): # 找到模块里面的变量，然后迭代出来
if inspect.isclass(obj) and \
issubclass(obj, Spider) and \
obj.__module__ == module.__name__ and \
getattr(obj, 'name', None): # 有name属性，继承于Spider
yield obj
这个obj就是我们平时写的spider类了。
原来分析了这么多，才找到了我们平时写的爬虫类

待续。。。。

原创文章
转载请注明出处
http://30daydo.com/article/530
查看全部

运行scrapy crawl example 命令的时候，就会执行我们写的爬虫程序。
下面我们从源码分析一下scrapy执行的流程：

执行scrapy crawl 命令时，调用的是Command类

class Command(ScrapyCommand):



    requires_project = True



    def syntax(self):

        return '[options]'



    def short_desc(self):

        return 'Runs all of the spiders - My Defined'



    def run(self,args,opts):

        print('==================')

        print(type(self.crawler_process))

        spider_list = self.crawler_process.spiders.list() # 找到爬虫类



        for name in spider_list:

            print('=================')

            print(name)

            self.crawler_process.crawl(name,**opts.__dict__)



        self.crawler_process.start()

然后我们去看看crawler_process，这个是来自ScrapyCommand，而ScrapyCommand又是CrawlerProcess的子类，而CrawlerProcess又是CrawlerRunner的子类

在CrawlerRunner构造函数里面主要作用就是这个

      def __init__(self, settings=None):

        if isinstance(settings, dict) or settings is None:

            settings = Settings(settings)

        self.settings = settings

        self.spider_loader = _get_spider_loader(settings) # 构造爬虫

        self._crawlers = set()

        self._active = set()

        self.bootstrap_failed = False

1. 加载配置文件

def _get_spider_loader(settings):



    cls_path = settings.get('SPIDER_LOADER_CLASS')

    

    # settings文件没有定义SPIDER_LOADER_CLASS，所以这里获取到的是系统的默认配置文件，

    # 默认配置文件在接下来的代码块A

    # SPIDER_LOADER_CLASS = 'scrapy.spiderloader.SpiderLoader'    

    

    loader_cls = load_object(cls_path) 

    # 这个函数就是根据路径转为类对象，也就是上面crapy.spiderloader.SpiderLoader 这个

    # 字符串变成一个类对象

    # 具体的load_object 对象代码见下面代码块B



    return loader_cls.from_settings(settings.frozencopy())

默认配置文件defautl_settting.py

# 代码块A

#......省略若干

SCHEDULER = 'scrapy.core.scheduler.Scheduler'

SCHEDULER_DISK_QUEUE = 'scrapy.squeues.PickleLifoDiskQueue'

SCHEDULER_MEMORY_QUEUE = 'scrapy.squeues.LifoMemoryQueue'

SCHEDULER_PRIORITY_QUEUE = 'scrapy.pqueues.ScrapyPriorityQueue'



SPIDER_LOADER_CLASS = 'scrapy.spiderloader.SpiderLoader' 就是这个值

SPIDER_LOADER_WARN_ONLY = False



SPIDER_MIDDLEWARES = {}

load_object的实现

# 代码块B 为了方便，我把异常处理的去除

from importlib import import_module #导入第三方库



def load_object(path):

    dot = path.rindex('.') 

    module, name = path[:dot], path[dot+1:]

    # 上面把路径分为基本路径+模块名

    

    mod = import_module(module)

    obj = getattr(mod, name)

    # 获取模块里面那个值

    

    return obj

测试代码：

In [33]: mod = import_module(module)                                                                                                                                             



In [34]: mod                                                                                                                                                                     

Out[34]: <module 'scrapy.spiderloader' from '/home/xda/anaconda3/lib/python3.7/site-packages/scrapy/spiderloader.py'>



In [35]: getattr(mod,name)                                                                                                                                                       

Out[35]: scrapy.spiderloader.SpiderLoader



In [36]: obj = getattr(mod,name)                                                                                                                                                 



In [37]: obj                                                                                                                                                                     

Out[37]: scrapy.spiderloader.SpiderLoader



In [38]: type(obj)                                                                                                                                                               

Out[38]: type

在代码块A中，loader_cls是SpiderLoader，最后返回的的是SpiderLoader.from_settings(settings.frozencopy())
接下来看看SpiderLoader.from_settings，

    def from_settings(cls, settings):

        return cls(settings)

返回类对象自己，所以直接看__init__函数即可

class SpiderLoader(object):

    """

    SpiderLoader is a class which locates and loads spiders

    in a Scrapy project.

    """

    def __init__(self, settings):

        self.spider_modules = settings.getlist('SPIDER_MODULES') 

        # 获得settting中的模块名字，创建scrapy的时候就默认帮你生成了

        # 你可以看看你的settings文件里面的内容就可以找到这个值，是一个list

        

        self.warn_only = settings.getbool('SPIDER_LOADER_WARN_ONLY')

        self._spiders = {}

        self._found = defaultdict(list)

        self._load_all_spiders() # 加载所有爬虫

核心就是这个_load_all_spiders：
走起：

def _load_all_spiders(self):

        for name in self.spider_modules:            



                for module in walk_modules(name): # 这个遍历文件夹里面的文件，然后再转化为类对象，

                    # 保存到字典：self._spiders = {}       

                    self._load_spiders(module) # 模块变成spider



        self._check_name_duplicates() # 去重，如果名字一样就异常

接下来看看_load_spiders
核心就是下面的。

def iter_spider_classes(module):

    from scrapy.spiders import Spider



    for obj in six.itervalues(vars(module)): # 找到模块里面的变量，然后迭代出来

        if inspect.isclass(obj) and \

           issubclass(obj, Spider) and \

           obj.__module__ == module.__name__ and \

           getattr(obj, 'name', None): # 有name属性，继承于Spider

           yield obj

这个obj就是我们平时写的spider类了。
原来分析了这么多，才找到了我们平时写的爬虫类

待续。。。。

原创文章
转载请注明出处
http://30daydo.com/article/530

frontera运行link_follower.py 报错：doesn't define any object named 'FIFO'

李魔佛发表了文章 • 0 个评论 • 172 次浏览 • 2019-07-18 11:29 • 来自相关话题

代码如下：
from __future__ import print_function

import re

import requests

from frontera.contrib.requests.manager import RequestsFrontierManager
# from frontera.contrib.requests.manager import RequestsFrontierManager
from frontera import Settings

from six.moves.urllib.parse import urljoin

SETTINGS = Settings()
SETTINGS.BACKEND = 'frontera.contrib.backends.memory.FIFO'
# SETTINGS.BACKEND = 'frontera.contrib.backends.memory.MemoryDistributedBackend'

SETTINGS.LOGGING_MANAGER_ENABLED = True
SETTINGS.LOGGING_BACKEND_ENABLED = True
SETTINGS.MAX_REQUESTS = 100
SETTINGS.MAX_NEXT_REQUESTS = 10

SEEDS = [
'http://www.imdb.com',
]

LINK_RE = re.compile(r'<a.+?href="(.*?)".?>', re.I)

def extract_page_links(response):
return [urljoin(response.url, link) for link in LINK_RE.findall(response.text)]

if __name__ == '__main__':

frontier = RequestsFrontierManager(SETTINGS)
frontier.add_seeds([requests.Request(url=url) for url in SEEDS])
while True:
next_requests = frontier.get_next_requests()
if not next_requests:
break
for request in next_requests:
try:
response = requests.get(request.url)
links = [
requests.Request(url=url)
for url in extract_page_links(response)
]
frontier.page_crawled(response)
print('Crawled', response.url, '(found', len(links), 'urls)')

if links:
frontier.links_extracted(request, links)
except requests.RequestException as e:
error_code = type(e).__name__
frontier.request_error(request, error_code)
print('Failed to process request', request.url, 'Error:', e)

无论用的py2或者py3，都会报以下的错误。raise NameError("Module '%s' doesn't define any object named '%s'" % (module, name))
NameError: Module 'frontera.contrib.backends.memory' doesn't define any object named 'FIFO' 查看全部

代码如下：

from __future__ import print_function



import re



import requests



from frontera.contrib.requests.manager import RequestsFrontierManager

# from frontera.contrib.requests.manager import RequestsFrontierManager

from frontera import Settings



from six.moves.urllib.parse import urljoin





SETTINGS = Settings()

SETTINGS.BACKEND = 'frontera.contrib.backends.memory.FIFO'

# SETTINGS.BACKEND = 'frontera.contrib.backends.memory.MemoryDistributedBackend'



SETTINGS.LOGGING_MANAGER_ENABLED = True

SETTINGS.LOGGING_BACKEND_ENABLED = True

SETTINGS.MAX_REQUESTS = 100

SETTINGS.MAX_NEXT_REQUESTS = 10



SEEDS = [

    'http://www.imdb.com',

]



LINK_RE = re.compile(r'<a.+?href="(.*?)".?>', re.I)





def extract_page_links(response):

    return [urljoin(response.url, link) for link in LINK_RE.findall(response.text)]



if __name__ == '__main__':



    frontier = RequestsFrontierManager(SETTINGS)

    frontier.add_seeds([requests.Request(url=url) for url in SEEDS])

    while True:

        next_requests = frontier.get_next_requests()

        if not next_requests:

            break

        for request in next_requests:

                try:

                    response = requests.get(request.url)

                    links = [

                        requests.Request(url=url)

                        for url in extract_page_links(response)

                    ]

                    frontier.page_crawled(response)

                    print('Crawled', response.url, '(found', len(links), 'urls)')



                    if links:

                        frontier.links_extracted(request, links)

                except requests.RequestException as e:

                    error_code = type(e).__name__

                    frontier.request_error(request, error_code)

                    print('Failed to process request', request.url, 'Error:', e)

无论用的py2或者py3，都会报以下的错误。

raise NameError("Module '%s' doesn't define any object named '%s'" % (module, name))

NameError: Module 'frontera.contrib.backends.memory' doesn't define any object named 'FIFO'

scrapy-rabbitmq 不支持python3 [修改源码使它支持]

李魔佛发表了文章 • 0 个评论 • 174 次浏览 • 2019-07-17 17:24 • 来自相关话题

官方版本在2015年就没有更新了。
在python3上运行的收会报错。

需要修改以下地方：

待续。。

scrapy rabbitmq 分布式爬虫

李魔佛发表了文章 • 0 个评论 • 301 次浏览 • 2019-07-17 16:59 • 来自相关话题

对于没接触过rabbitmq的同学，可以看这个文章：https://blog.csdn.net/hellozpc/article/details/81436980
rabbitmq是个不错的消息队列服务，可以配合scrapy作为消息队列.

下面是一个简单的demo：import re
import requests
import scrapy
from scrapy import Request
from rabbit_spider import settings
from scrapy.log import logger
import json
from rabbit_spider.items import RabbitSpiderItem
import datetime
from scrapy.selector import Selector
import pika

# from scrapy_rabbitmq.spiders import RabbitMQMixin
# from scrapy.contrib.spiders import CrawlSpider

class Website(scrapy.Spider):
name = "rabbit"

def start_requests(self):
headers = {'Accept': '*/*',
'Accept-Encoding': 'gzip, deflate, br',
'Accept-Language': 'en-US,en;q=0.9,zh-CN;q=0.8,zh;q=0.7',
'Host': '36kr.com',
'Referer': 'https://36kr.com/information/web_news',
'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.108 Safari/537.36'
}

url = 'https://36kr.com/information/web_news'

yield Request(url=url,
headers=headers)

def parse(self, response):

credentials = pika.PlainCredentials('admin', 'admin')
connection = pika.BlockingConnection(pika.ConnectionParameters('192.168.1.101', 5672, '/', credentials))

channel = connection.channel()
channel.exchange_declare(exchange='direct_log', exchange_type='direct')

result = channel.queue_declare(exclusive=True, queue='')

queue_name = result.method.queue

# print(queue_name)
# infos = sys.argv[1:] if len(sys.argv)>1 else ['info']
info = 'info'

# 绑定多个值

channel.queue_bind(
exchange='direct_log',
routing_key=info,
queue=queue_name
)
print('start to receive [{}]'.format(info))

channel.basic_consume(
on_message_callback=self.callback_func,
queue=queue_name,
auto_ack=True,
)

channel.start_consuming()

def callback_func(self, ch, method, properties, body):
print(body)
启动spider：from scrapy import cmdline
cmdline.execute('scrapy crawl rabbit'.split())
然后往rabbitmq里面推送数据：import pika
import settings

credentials = pika.PlainCredentials('admin','admin')
connection = pika.BlockingConnection(pika.ConnectionParameters('192.168.1.101',5672,'/',credentials))

channel = connection.channel()
channel.exchange_declare(exchange='direct_log',exchange_type='direct') # fanout 就是组播

routing_key = 'info'
message='https://36kr.com/pp/api/aggregation-entity?type=web_latest_article&b_id=59499&per_page=30'
channel.basic_publish(
exchange='direct_log',
routing_key=routing_key,
body=message
)

print('sending message {}'.format(message))
connection.close()

推送数据后，scrapy会马上接受到队里里面的数据。
注意不能在start_requests里面写等待队列的命令，因为start_requests函数需要返回一个生成器，否则程序会报错。

待续。。。
###### 2019-08-29 更新 ###################
发现一个坑，就是rabbitMQ在接受到数据后，无法在回调函数里面使用yield生成器。
查看全部

对于没接触过rabbitmq的同学，可以看这个文章：https://blog.csdn.net/hellozpc/article/details/81436980
rabbitmq是个不错的消息队列服务，可以配合scrapy作为消息队列.

下面是一个简单的demo：

import re

import requests

import scrapy

from scrapy import Request

from rabbit_spider import settings

from scrapy.log import logger

import json

from rabbit_spider.items import RabbitSpiderItem

import datetime

from scrapy.selector import Selector

import pika



# from scrapy_rabbitmq.spiders import RabbitMQMixin

# from scrapy.contrib.spiders import CrawlSpider



class Website(scrapy.Spider):

    name = "rabbit"



    def start_requests(self):

        headers = {'Accept': '*/*',

                   'Accept-Encoding': 'gzip, deflate, br',

                   'Accept-Language': 'en-US,en;q=0.9,zh-CN;q=0.8,zh;q=0.7',

                   'Host': '36kr.com',

                   'Referer': 'https://36kr.com/information/web_news',

                   'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.108 Safari/537.36'

                   }



        url = 'https://36kr.com/information/web_news'

        



        yield Request(url=url,

                      headers=headers)



    def parse(self, response):

       



        credentials = pika.PlainCredentials('admin', 'admin')

        connection = pika.BlockingConnection(pika.ConnectionParameters('192.168.1.101', 5672, '/', credentials))



        channel = connection.channel()

        channel.exchange_declare(exchange='direct_log', exchange_type='direct')



        result = channel.queue_declare(exclusive=True, queue='')



        queue_name = result.method.queue



        # print(queue_name)

        # infos = sys.argv[1:] if len(sys.argv)>1 else ['info']

        info = 'info'



        # 绑定多个值



        channel.queue_bind(

            exchange='direct_log',

            routing_key=info,

            queue=queue_name

        )

        print('start to receive [{}]'.format(info))



        channel.basic_consume(

            on_message_callback=self.callback_func,

            queue=queue_name,

            auto_ack=True,

        )



        channel.start_consuming()





    def callback_func(self, ch, method, properties, body):

        print(body)

启动spider：

from scrapy import cmdline

cmdline.execute('scrapy crawl rabbit'.split())

然后往rabbitmq里面推送数据：

import pika

import settings



credentials = pika.PlainCredentials('admin','admin')

connection = pika.BlockingConnection(pika.ConnectionParameters('192.168.1.101',5672,'/',credentials))



channel = connection.channel()

channel.exchange_declare(exchange='direct_log',exchange_type='direct') # fanout 就是组播



routing_key = 'info'

message='https://36kr.com/pp/api/aggregation-entity?type=web_latest_article&b_id=59499&per_page=30'

channel.basic_publish(

	exchange='direct_log',

	routing_key=routing_key,

	body=message

	)



print('sending message {}'.format(message))

connection.close()

推送数据后，scrapy会马上接受到队里里面的数据。
注意不能在start_requests里面写等待队列的命令，因为start_requests函数需要返回一个生成器，否则程序会报错。

待续。。。
###### 2019-08-29 更新 ###################
发现一个坑，就是rabbitMQ在接受到数据后，无法在回调函数里面使用yield生成器。

twisted的getPage已经不建议使用，新接口为twisted.web.client.Agent

李魔佛发表了文章 • 0 个评论 • 210 次浏览 • 2019-07-12 11:31 • 来自相关话题

Twisted-16.7.0 is coming soon, and it deprecates twisted.web.client.getPage (and client.HTTPClientFactory). We use these in some of the unit tests, to fetch one of the HTTP WAPI/WUI pages and make sure the contents look right.

We need to change these tests to use twisted.web.client.Agent instead, or a package named "treq", which is a Twisted flavor of the excellent (but blocking) requests library.

查看全部

Twisted-16.7.0 is coming soon, and it deprecates twisted.web.client.getPage (and client.HTTPClientFactory). We use these in some of the unit tests, to fetch one of the HTTP WAPI/WUI pages and make sure the contents look right.

We need to change these tests to use twisted.web.client.Agent instead, or a package named "treq", which is a Twisted flavor of the excellent (but blocking) requests library.

喜马拉雅app 爬取音频文件

李魔佛发表了文章 • 0 个评论 • 1011 次浏览 • 2019-06-30 12:24 • 来自相关话题

爬取喜马拉雅app上杨继东的投资之道的音频文件
运行环境：python3# -*- coding: utf-8 -*-
# website: http://30daydo.com
# @Time : 2019/6/30 12:03
# @File : main.py

import requests
import re
url = 'https://www.ximalaya.com/revision/play/album?albumId=23057324&pageNum=1&sort=1&pageSize=60'
headers={'User-Agent':'Xiaomi'}

r = requests.get(url=url,headers=headers)
js_data = r.json()
data_list = js_data.get('data',{}).get('tracksAudioPlay',)
for item in data_list:
trackName=item.get('trackName')
trackName=re.sub(':','',trackName)
src_url = item.get('src')
try:
r0=requests.get(src_url,headers=headers)
except Exception as e:
print(e)
print(trackName)
else:
with open('{}.m4a'.format(trackName),'wb') as f:
f.write(r0.content)
print('{} downloaded'.format(trackName))
保存为main.py
然后运行 python main.py
稍微等几分钟就自动下载好了。

附下载好的音频文件：
链接：https://pan.baidu.com/s/1t_vJhTvSJSeFdI1IaDS6fA
提取码：e3zb

原创文章
转载请注明出处
http://30daydo.com/article/503 查看全部

爬取喜马拉雅app上杨继东的投资之道的音频文件
运行环境：python3

# -*- coding: utf-8 -*-

# website: http://30daydo.com

# @Time : 2019/6/30 12:03

# @File : main.py



import requests

import re

url = 'https://www.ximalaya.com/revision/play/album?albumId=23057324&pageNum=1&sort=1&pageSize=60'

headers={'User-Agent':'Xiaomi'}



r = requests.get(url=url,headers=headers)

js_data = r.json()

data_list = js_data.get('data',{}).get('tracksAudioPlay',)

for item in data_list:

    trackName=item.get('trackName')

    trackName=re.sub(':','',trackName)

    src_url = item.get('src')

    try:

        r0=requests.get(src_url,headers=headers)

    except Exception as e:

        print(e)

        print(trackName)

    else:

        with open('{}.m4a'.format(trackName),'wb') as f:

            f.write(r0.content)

        print('{} downloaded'.format(trackName))

保存为main.py
然后运行 python main.py
稍微等几分钟就自动下载好了。

附下载好的音频文件：
链接：https://pan.baidu.com/s/1t_vJhTvSJSeFdI1IaDS6fA
提取码：e3zb

原创文章
转载请注明出处
http://30daydo.com/article/503

关于懒人听书爬虫的请教

贡献

b842619045 回复了问题 • 3 人关注 • 2 个回复 • 687 次浏览 • 2019-05-22 23:04 • 来自相关话题

requests直接post图片文件

李魔佛发表了文章 • 0 个评论 • 237 次浏览 • 2019-05-17 16:32 • 来自相关话题

代码如下：
file_path=r'9927_15562445086485238.png'
file=open(file_path, 'rb').read()
r=requests.post(url=code_url,data=file)
print(r.text) 查看全部

代码如下：

    file_path=r'9927_15562445086485238.png'

    file=open(file_path, 'rb').read()

    r=requests.post(url=code_url,data=file)

    print(r.text)

正则表达式替换中文换行符【python】

李魔佛发表了文章 • 0 个评论 • 177 次浏览 • 2019-05-13 11:02 • 来自相关话题

js里面的内容有中文的换行符。
使用正则表达式替换换行符。（也可以替换为任意字符）js=re.sub('\r\n','',js)
完毕。

js里面的内容有中文的换行符。
使用正则表达式替换换行符。（也可以替换为任意字符）

js=re.sub('\r\n','',js)

完毕。

request header显示Provisional headers are shown

李魔佛发表了文章 • 0 个评论 • 423 次浏览 • 2019-05-13 10:07 • 来自相关话题

出现这个情况，一般是因为装了一些插件，比如屏蔽广告的插件 ad block导致的。
把插件卸载了问题就解决了。

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