search
HomeBackend DevelopmentPython TutorialExample of data capture from Sina News details page

Example of data capture from Sina News details page

Jun 21, 2017 pm 03:23 PM
pythonSinanewsreptileDetails

The previous article "Python Crawler: Capturing Sina News Data" explained in detail how to crawl the relevant data of Sina News details page, but the construction of the code is not conducive to subsequent expansion. Every time a new details page is grabbed, It needs to be written again, so we need to organize it into functions so that it can be called directly.

The 6 data captured by the details page: news title, number of comments, time, source, text, and editor in charge.

First, we organize the number of comments into a functional form:

 1 import requests 2 import json 3 import re 4  5 comments_url = '{}&group=&compress=0&ie=utf-8&oe=utf-8&page=1&page_size=20' 6  7 def getCommentsCount(newsURL): 8     ID = re.search('doc-i(.+).shtml', newsURL) 9     newsID = ID.group(1)10     commentsURL = requests.get(comments_url.format(newsID))11     commentsTotal = json.loads(commentsURL.text.strip('var data='))12     return commentsTotal['result']['count']['total']13 14 news = ''15 print(getCommentsCount(news))

Line 5 comments_url, in the previous article, we Knowing that there is a news ID in the comment link, the number of comments on different news changes through the transformation of the news ID, so we format it and replace the news ID with braces {};

defines the number of comments to obtain The function getCommentsCount uses regular rules to find the matching news ID, then stores the obtained news link in the variable commentsURL, and gets the final number of comments commentsTotal by decoding JS;

Then, we only need to enter the new News link, you can directly call the function getCommentsCount to get the number of comments.

Finally, we organize the 6 data that need to be captured into a function getNewsDetail. As follows:

 1 from bs4 import BeautifulSoup 2 import requests 3 from datetime import datetime 4 import json 5 import re 6  7 comments_url = '{}&group=&compress=0&ie=utf-8&oe=utf-8&page=1&page_size=20' 8  9 def getCommentsCount(newsURL):10     ID = re.search('doc-i(.+).shtml', newsURL)11     newsID = ID.group(1)12     commentsURL = requests.get(comments_url.format(newsID))13     commentsTotal = json.loads(commentsURL.text.strip('var data='))14     return commentsTotal['result']['count']['total']15 16 # news = 'http://news.sina.com.cn/c/nd/2017-05-14/doc-ifyfeius7904403.shtml'17 # print(getCommentsCount(news))18 19 def getNewsDetail(news_url):20     result = {}21     web_data = requests.get(news_url)22     web_data.encoding = 'utf-8'23     soup = BeautifulSoup(web_data.text,'lxml')24     result['title'] = soup.select('#artibodyTitle')[0].text25     result['comments'] = getCommentsCount(news_url)26     time = soup.select('.time-source')[0].contents[0].strip()27     result['dt'] = datetime.strptime(time,'%Y年%m月%d日%H:%M')28     result['source'] = soup.select('.time-source span span a')[0].text29     result['article'] = ' '.join([p.text.strip() for p in soup.select('#artibody p')[:-1]])30     result['editor'] = soup.select('.article-editor')[0].text.lstrip('责任编辑:')31     return result32 33 print(getNewsDetail(''))

In the function getNewsDetail, obtain the 6 data that need to be captured and put them in the result:

  • result['title'] is to get the news title;

  • resul['comments'] is to get the number of comments. You can directly call the comment count function getCommentsCount we defined at the beginning. ;

  • result['dt'] is the acquisition time; result['source'] is the acquisition source;

  • result['article' ] is to get the text;

  • #result['editor'] is to get the editor in charge.

Then enter the news link you want to obtain data from and call this function.

Part of the results:

##{'title': 'The "instructor" who started teaching Wing Chun at the High School Affiliated to Zhejiang University is a third-generation disciple of Ip Man', ' comments': 618, 'dt': datetime.datetime(2017, 5, 14, 7, 22), 'source': 'China News Network', 'article': 'Original title: Zhejiang University Affiliated High School to start teaching Wing Chun "teacher" "This is Ip Man... Source: Qianjiang Evening News', 'editor': 'Zhang Di'}

The above is the detailed content of Example of data capture from Sina News details page. For more information, please follow other related articles on the PHP Chinese website!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Merging Lists in Python: Choosing the Right MethodMerging Lists in Python: Choosing the Right MethodMay 14, 2025 am 12:11 AM

TomergelistsinPython,youcanusethe operator,extendmethod,listcomprehension,oritertools.chain,eachwithspecificadvantages:1)The operatorissimplebutlessefficientforlargelists;2)extendismemory-efficientbutmodifiestheoriginallist;3)listcomprehensionoffersf

How to concatenate two lists in python 3?How to concatenate two lists in python 3?May 14, 2025 am 12:09 AM

In Python 3, two lists can be connected through a variety of methods: 1) Use operator, which is suitable for small lists, but is inefficient for large lists; 2) Use extend method, which is suitable for large lists, with high memory efficiency, but will modify the original list; 3) Use * operator, which is suitable for merging multiple lists, without modifying the original list; 4) Use itertools.chain, which is suitable for large data sets, with high memory efficiency.

Python concatenate list stringsPython concatenate list stringsMay 14, 2025 am 12:08 AM

Using the join() method is the most efficient way to connect strings from lists in Python. 1) Use the join() method to be efficient and easy to read. 2) The cycle uses operators inefficiently for large lists. 3) The combination of list comprehension and join() is suitable for scenarios that require conversion. 4) The reduce() method is suitable for other types of reductions, but is inefficient for string concatenation. The complete sentence ends.

Python execution, what is that?Python execution, what is that?May 14, 2025 am 12:06 AM

PythonexecutionistheprocessoftransformingPythoncodeintoexecutableinstructions.1)Theinterpreterreadsthecode,convertingitintobytecode,whichthePythonVirtualMachine(PVM)executes.2)TheGlobalInterpreterLock(GIL)managesthreadexecution,potentiallylimitingmul

Python: what are the key featuresPython: what are the key featuresMay 14, 2025 am 12:02 AM

Key features of Python include: 1. The syntax is concise and easy to understand, suitable for beginners; 2. Dynamic type system, improving development speed; 3. Rich standard library, supporting multiple tasks; 4. Strong community and ecosystem, providing extensive support; 5. Interpretation, suitable for scripting and rapid prototyping; 6. Multi-paradigm support, suitable for various programming styles.

Python: compiler or Interpreter?Python: compiler or Interpreter?May 13, 2025 am 12:10 AM

Python is an interpreted language, but it also includes the compilation process. 1) Python code is first compiled into bytecode. 2) Bytecode is interpreted and executed by Python virtual machine. 3) This hybrid mechanism makes Python both flexible and efficient, but not as fast as a fully compiled language.

Python For Loop vs While Loop: When to Use Which?Python For Loop vs While Loop: When to Use Which?May 13, 2025 am 12:07 AM

Useaforloopwheniteratingoverasequenceorforaspecificnumberoftimes;useawhileloopwhencontinuinguntilaconditionismet.Forloopsareidealforknownsequences,whilewhileloopssuitsituationswithundeterminediterations.

Python loops: The most common errorsPython loops: The most common errorsMay 13, 2025 am 12:07 AM

Pythonloopscanleadtoerrorslikeinfiniteloops,modifyinglistsduringiteration,off-by-oneerrors,zero-indexingissues,andnestedloopinefficiencies.Toavoidthese:1)Use'i

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

SAP NetWeaver Server Adapter for Eclipse

SAP NetWeaver Server Adapter for Eclipse

Integrate Eclipse with SAP NetWeaver application server.

MinGW - Minimalist GNU for Windows

MinGW - Minimalist GNU for Windows

This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

ZendStudio 13.5.1 Mac

ZendStudio 13.5.1 Mac

Powerful PHP integrated development environment

mPDF

mPDF

mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),