编辑:
所以我将下面的脚本代码保存到文本文件中,但是使用re来提取数据仍然没有给我任何回报。我的代码是:
file_object = open('source_test_script.txt', mode="r")
soup = BeautifulSoup(file_object, "html.parser")
pattern = re.compile(r"^var (chart[0-9]+) = new Highcharts.Chart\(({.*?})\);$", re.MULTILINE | re.DOTALL)
scripts = soup.find("script", text=pattern)
profile_text = pattern.search(scripts.text).group(1)
profile = json.loads(profile_text)
print profile["data"], profile["categories"]
我想从网站上提取图表的数据。以下是图表的源代码。
<script type="text/javascript">
jQuery(function() {
var chart1 = new Highcharts.Chart({
chart: {
renderTo: 'chart1',
defaultSeriesType: 'column',
borderWidth: 2
},
title: {
text: 'Productions'
},
legend: {
enabled: false
},
xAxis: [{
categories: [1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016],
}],
yAxis: {
min: 0,
title: {
text: 'Productions'
}
},
series: [{
name: 'Productions',
data: [1,1,0,1,6,4,9,15,15,19,24,18,53,42,54,53,61,36]
}]
});
});
</script>
网站上有几个类似的图表,名为&#34; chart1&#34;,&#34; chart2&#34;等。我想提取以下数据:类别行和数据行,对于每个图表:
categories: [1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016]
data: [1,1,0,1,6,4,9,15,15,19,24,18,53,42,54,53,61,36]
答案 0 :(得分:4)
另一种方法是在控制台中使用Highcharts的JavaScript库,然后使用Selenium。
import time
from selenium import webdriver
website = ""
driver = webdriver.Firefox()
driver.get(website)
time.sleep(5)
temp = driver.execute_script('return window.Highcharts.charts[0]'
'.series[0].options.data')
data = [item[1] for item in temp]
print(data)
根据您尝试提取的图表和系列,您的情况可能略有不同。
答案 1 :(得分:0)
我会使用正则表达式和yaml解析器的组合。下面的快速和脏 - 您可能需要调整正则表达式,但它适用于示例:
pip install PyYAML
需要yaml库(<script>
),你应该使用BeautifulSoup在将它传递给正则表达式之前提取正确的<script>
标记。
编辑 - 完整示例
抱歉,我没有说清楚。您使用BeautifulSoup来解析HTML并提取from bs4 import BeautifulSoup
import yaml
import re
file_object = open('source_test_script.txt', mode="r")
soup = BeautifulSoup(file_object, "html.parser")
pattern = re.compile(r"var (chart[0-9]+) = new Highcharts.Chart\(({.*?})\);", re.MULTILINE | re.DOTALL | re.UNICODE)
charts = {}
# find every <script> tag in the source using beautifulsoup
for tag in soup.find_all('script'):
# tabs are special in yaml so remove them first
script = tag.text.replace('\t', '')
# find each object declaration
for name, obj_declaration in pattern.findall(script):
try:
# parse the javascript declaration
charts[name] = yaml.safe_load(obj_declaration)
except Exception, e:
print "Failed to parse {0}: {1}".format(name, e)
# extract the data you want
for name in charts:
print "## {0} ##".format(name);
print "categories:", charts[name]['xAxis'][0]['categories']
print "data:", charts[name]['series'][0]['data']
print
元素,然后使用PyYAML来解析javascript对象声明。你不能使用内置的json库,因为它不是有效的JSON,但普通的javascript对象声明(即没有函数)是YAML的一个子集。
## chart1 ##
categories: [1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016]
data: [22, 1, 0, 1, 6, 4, 9, 15, 15, 19, 24, 18, 53, 42, 54, 53, 61, 36]
输出:
from bs4 import BeautifulSoup
import json
import re
file_object = open('citec.repec.org_p_c_pcl20.html', mode="r")
soup = BeautifulSoup(file_object, "html.parser")
pattern = re.compile(r"var (chart[0-9]+) = new Highcharts.Chart\(({.*?})\);", re.MULTILINE | re.DOTALL | re.UNICODE)
charts = {}
for tag in soup.find_all('script'):
# tabs are special in yaml so remove them first
script = tag.text
values = {}
# find each object declaration
for name, obj_declaration in pattern.findall(script):
for line in obj_declaration.split('\n'):
line = line.strip('\t\n ,;')
for field in ('data', 'categories'):
if line.startswith(field + ":"):
data = line[len(field)+1:]
try:
values[field] = json.loads(data)
except:
print "Failed to parse %r for %s" % (data, name)
charts[name] = values
print charts
注意我必须调整正则表达式以使其处理来自BeautifulSoup的unicode输出和空格 - 在我的原始示例中,我只是将源代码直接传递给正则表达式。
编辑2 - 没有yaml
鉴于javascript看起来是部分生成的,你可以期待的最好的就是抓住线条 - 不是很优雅,但可能适合你。
{{1}}
请注意,它对图表7失败,因为它引用了另一个变量。