scrapy for python 3

Scrapy the page to grasp the time, the saved file appears garbled, after analysis is the reason for encoding, only need to convert the code to Utf-8 can, snippets.... import Chardet .....Content_Type = Chardet.detect (html_content) #print (content_type[' encoding ')) ifcontent_type[' encoding ']! = "UTF -8 ": Html_content =html_content.decode (content_type[' encoding ') html_content = Html_content.encode (" Utf-8 ") Open (filename, "WB"). Write (Htm

This article illustrates how python randomly allocates user-agent for each request when using Scrapy to collect data. Share to everyone for your reference. The specific analysis is as follows: This method can be used each time to change the different user-agent, to prevent the site according to User-agent shielding Scrapy spider First add the following code to

Selenium is used to automate the testing of Web application. However, it has a huge benefit: it allows us to simulate the operation of a person's browser with Python (not just Python) code.Required software: python2.7, Firefox 25.0.1 (version not too high), selenium2.44.0 (using pip install Selenium installation)1. Open Browser, request Baidu homepage, 5 seconds to close the browserFrom selenium import webd

change, unchanged original data) "recommended"POST Index name/table/id/_update{ "Doc": { "field": Value, "field": Value }}#修改文档 (incremental modification, unmodified original data unchanged) POST jobbole/job/1/_update{ "Doc": { "comments": "City ": "Tianjin" }}8. Delete the index, delete the documentDelete index name/table/ID delete a specified document in the indexDelete index name deletes a specified index#删除索引里的一个指定文档DELETE jobbole/job/1# Delete a specified index delete jobbo

Scrapy Installation Scripts#######installdependentpackageanddevelopment-lib###### #yum -y installgcczlibzlib-developensslopenssl-develbzip*libxml2* libxslt*libffi-devellibffi#######installpython-2.7.7wget ' https:// Www.python.org/ftp/python/2.7.7/Python-2.7.7.tgz ' tar-zxvfpython-2.7.7.tgzcdpython-2.7.7./ Configuremakemakeinstall#######modifiedyumforos-pythonsed

We have introduced the method of using nodejs to crawl pictures of sister-in-law papers. let's take a look at how Python is implemented. For more information, see. Python Scrapy crawlers, I heard that my sister figure is quite popular. I crawled it all over the site. I made more than 8000 images last Monday. Share with you. Core crawler code # -*- coding: utf-8

The example in this article describes how Python puts back a large page download in the process of capturing data using Scrapy. Share to everyone for your reference. The specific analysis is as follows: Add the following code to Settings.py,myproject for your project name Copy Code code as follows: downloader_httpclientfactory = ' Myproject.downloader.LimitSizeHTTPClientFactory ' Custom

In the Scrapy project, build a Python directory that is similar to the spider and add a py file with the contents below # encoding:utf-8import Base64proxyserver = Proxy server address # #我的是 ': 9010 ' # Proxy tunneling authentication Information This is the application on that website Proxyuser = Username Proxypass = password P Roxyauth = "Basic" + base64.b64encode (Proxyuser + ":" + Proxypass) class Pro

This article describes how to use scrapy to parse js in python. The code is as follows: From selenium import selenium Class MySpider (crawler ):Name = 'cnbeta'Allowed_domains = ['cnbeta. com']Start_urls = ['http: // www.jb51.net'] Rules = (# Extract links matching 'Category. php' (but not matching 'subsection. php ')# And follow links from them (since no callback means follow = True by default ).Rule (Sgm

Python crawler scrapy framework-manual recognition, logon, inverted text verification code, and digital English Verification Code, Currently, zhihu uses the verification code of the inverted text in the click graph: 　 You need to click the inverted text in the figure to log on. This makes it difficult for crawlers to solve the problem. After a day of patience, they can finally manually identify the verifica

First, crawl the simulation browserIn the crawler file, add the Start_request function. Such as:def start_requests (self):UA = {"User-agent": ' mozilla/5.0 (Windows NT 6.1; WOW64) applewebkit/537.36 (khtml, like Gecko) chrome/53.0.2785.104 safari/537.36 core/1.53.2050.400 qqbrowser/ 9.5.10169.400 '}Yield Request ("http://www.baidu.com", Headers=ua)Import Required: From scrapy.http import RequestSecond, automatic crawling simulation browserOpen settings.py, assigning values to user_agent, such as