python之收集网站数据（三种方式）

方式一：python之收集整个网站数据

目的：
建立一个爬虫和数据收集程序(数据打印)

1：代码

# coding=utf-8
"""
@author: jiajiknag
程序功能：收集整个网站数据
        建立一个爬虫和数据收集程序(数据打印)
"""
from urllib.request import urlopen
from bs4 import BeautifulSoup
import re

pages = set()
def getLinks(pageUrl):
    # 全集变量集合
    global pages
    # urlopen 用来打开并读取一个从网络获取的远程对象
    html = urlopen("http://en.wikipedia.org"+pageUrl)
    # 创建BeautifulSoup对象
    bs0bj = BeautifulSoup(html)
    try:
        print(bs0bj.h1.get_text())
        print(bs0bj.find(id="mw-content-text").findAll("p")[0])
        print(bs0bj.find(id="ca-edit").find("span").find("a").attrs['href'])
    except AttributeError:
        print("页面缺少一些属性，不用担心")
    # 遍历，以/wiki/开头
    for link in bs0bj.findAll("a",href=re.compile("^(/wiki/)")):
        if 'href' in link.attrs:
            # 新页面
            newPage = link.attrs['href']
            # 虚线作用：分离不同的页面内容
            print("-------------------------------\n"+newPage)
            # 添加新页面
            pages.add(newPage)
            # 或许新页面
            getLinks(newPage)
# 先处理一个空URL
getLinks("")

2：结果

---

方式二：通过互联网采集->从一个外链随意跳转到另一个外链：获得随机外链

1：代码

# coding=utf-8
"""
@author: jiajiknag
程序功能： 通过互联网采集-从一个外链随意跳转到另一个外链
"""
from urllib.request import urlopen
from bs4 import BeautifulSoup
import re
import datetime
import random

pages = set()
# 随机发送当前时间
# random.seed()是随机数种子，也就是为随机数提供算法，完全相同的种子产生的随机数列是相同的
random.seed(datetime.datetime.now())

# 获取页面所以内链的列表
def getInternalLinks(bs0bj, includeUrl):
    internalLinks = []
    # 找出所有以“\”开头的链接
    for link in bs0bj.findAll("a",href=re.compile("^(/|.*)"+includeUrl)):
        if link.attrs['href'] not in internalLinks:
            internalLinks.append(link.attrs['href'])
    return internalLinks

# 获取页面所有外链的列表
def getExternalLinks(bs0bj,excludeUrl):
    externalLinks = []
    # 找出所有以“http”或者“www”开头且包含当前的url的链接
    for link in bs0bj.findAll("a", href=re.compile("^(http|www)((?!"+ excludeUrl+").)*$")):
        if link.attrs['href'] is not None:
            if link.attrs['href'] not in excludeUrl:
                externalLinks.append(link.attrs['href'])
    return excludeUrl

# 爬去地址
def splitAddress(address):
    addressParts = address.replace("http://", "").split("/")
    return addressParts

# 获取随机外链接
def getRandomExternalLink(startingPage):
    html = urlopen(startingPage)
    bs0bj = BeautifulSoup(html)
    # [0]--返回一个列表，获取外链
    externalLinks = getExternalLinks(bs0bj, splitAddress(startingPage)[0])
    if len(externalLinks) ==0:
        # 既然不是外链，那就是内链
        internalLinks = getInternalLinks(startingPage)
        # 返回获得的随机外链
        return getRandomExternalLink(internalLinks[random.randint(0,len(internalLinks)-1)])
    else:
        return externalLinks[random.randint(0,len(externalLinks)-1)]

def followExternalOnly(startingSite):
    externalLink = getRandomExternalLink("http://oreilly.com")
    print("随机外链是：", externalLink)
    followExternalOnly(externalLink)
followExternalOnly("http://oreilly.com")

2：流程图

3：结果

---

方式三： 收集网站上所有的外链

1：代码

# coding=utf-8
"""
@author: jiajiknag
程序功能：
"""
from urllib.request import urlopen
from urllib.parse import urlparse
from bs4 import BeautifulSoup
import re
import datetime
import random

pages = set()
random.seed(datetime.datetime.now())


# 所有内部链接的列表
def getInternalLinks(bsObj, includeUrl):
    includeUrl = urlparse(includeUrl).scheme + "://" + urlparse(includeUrl).netloc
    internalLinks = []
    # 查找所有以“/”开头的链接
    for link in bsObj.findAll("a", href=re.compile("^(/|.*" + includeUrl + ")")):
        if link.attrs['href'] is not None:
            if link.attrs['href'] not in internalLinks:
                if (link.attrs['href'].startswith("/")):
                    internalLinks.append(includeUrl + link.attrs['href'])
                else:
                    internalLinks.append(link.attrs['href'])
    return internalLinks


# 所有外部链接的列表
def getExternalLinks(bsObj, excludeUrl):
    externalLinks = []
    # 查找以“http”或“www”开头的所有链接
    # 不包含当前的URL
    for link in bsObj.findAll("a", href=re.compile("^(http|www)((?!" + excludeUrl + ").)*$")):
        if link.attrs['href'] is not None:
            if link.attrs['href'] not in externalLinks:
                externalLinks.append(link.attrs['href'])
    return externalLinks


def getRandomExternalLink(startingPage):
    html = urlopen(startingPage)
    bsObj = BeautifulSoup(html, "html.parser")
    externalLinks = getExternalLinks(bsObj, urlparse(startingPage).netloc)
    if len(externalLinks) == 0:
        print("没有外部链接")
        domain = urlparse(startingPage).scheme + "://" + urlparse(startingPage).netloc
        internalLinks = getInternalLinks(bsObj, domain)
        return getRandomExternalLink(internalLinks[random.randint(0, len(internalLinks) - 1)])
    else:
        return externalLinks[random.randint(0, len(externalLinks) - 1)]


def followExternalOnly(startingSite):
    externalLink = getRandomExternalLink(startingSite)
    print("随机的外部链接是: " + externalLink)
    followExternalOnly(externalLink)


# 收集一个网站上所有的外链接，并记录每一个外链
allExtLinks = set()
allIntLinks = set()

def getAllExternalLinks(siteUrl):
    html = urlopen(siteUrl)
    domain = urlparse(siteUrl).scheme + "://" + urlparse(siteUrl).netloc
    bsObj = BeautifulSoup(html, "html.parser")
    internalLinks = getInternalLinks(bsObj, domain)
    externalLinks = getExternalLinks(bsObj, domain)

    for link in externalLinks:
        if link not in allExtLinks:
            allExtLinks.add(link)
            print(link)
    for link in internalLinks:
        if link not in allIntLinks:
            allIntLinks.add(link)
            getAllExternalLinks(link)

# 创建对象
followExternalOnly("http://oreilly.com")
# 添加
allIntLinks.add("http://oreilly.com")
# 创建对象
getAllExternalLinks("http://oreilly.com")

2：结果
博主这里可能请求过于频繁所以才导致如下结果啊。
注：小伙伴浏览到这可以提出建议和意见，，，