entityMap|0|type|LINK|mutability|MUTABLE|data|url|https://www.dataquest.io/blog/web-scraping-beautifulsoup/#:%257E:text=Using%2520BeautifulSoup%2520to%2520parse%2520the,creator%2520from%2520the%2520package%2520bs4%2520|blocks|key|tt04|text|这取决于它是什么网站，它使用了什么结构，使用了什么标签。但是，https://www.dataquest.io/blog/web-scraping-beautifulsoup/#:~:text=Using%2520BeautifulSoup%2520to%2520parse%2520the,creator%2520from%2520the%2520package%2520bs4%2520。在抓取网站时帮了我很大的忙。|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|2sdjg^0|V|42|0|0^^$0|$1|$2|3|4|5|6|$7|8]]]|9|@$A|B|C|D|2|E|F|L|G|@]|H|@$I|M|J|N|A|O]]|6|$]]|$A|K|C|-4|2|E|F|P|G|@]|H|@]|6|$]]]]

It depends on the website it is, and what structure it uses, what tags are used e.t.c.
But, <a href="https://www.dataquest.io/blog/web-scraping-beautifulsoup/#:%7E:text=Using%20BeautifulSoup%20to%20parse%20the,creator%20from%20the%20package%20bs4%20" rel="nofollow noreferrer">https://www.dataquest.io/blog/web-scraping-beautifulsoup/#:~:text=Using%20BeautifulSoup%20to%20parse%20the,creator%20from%20the%20package%20bs4%20</a>. has helped me a lot when scraping websites.

entityMap|blocks|key|6sj7u|text|此脚本将获取图表中的所有变量：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|85qls|import+json
import+requests


url+=+'http://180.232.125.102/'
html_data+=+requests.get(url).text

out+=+{}
for+k,+v+in+re.findall(r'var+((?:system%7Cluzon%7Cvisayas).*?)\s%2B=+(\[.*?\]);',+html_data):
++++out[k]+=+json.loads(v)

#+the+data+is+in+variable+`out`,+now+just+pretty+print+it+to+screen:
print(json.dumps(out,+indent=4))|code-block|syntax|javascript|3sjkh|打印：|fppgu|{
++++"systemDemandVal":+[
++++++++10182.3,
++++++++9911.2,
++++++++9519.3,
++++++++9302.5,
++++++++9157.1,
++++++++8948.4,
++++++++9093.4,
++++++++9995.2,
++++++++10828.2,
++++++++11391.4,
++++++++11906.8,
++++++++11632.8,
++++++++11910,
++++++++12295.7,
++++++++12165.4,
++++++++11767
++++],
++++"systemRTDVal":+[
++++++++2075.25,
++++++++2010.45,
++++++++1767.63,
++++++++1909.91,
++++++++1859.16,
++++++++1701.14,
++++++++1706.64,
++++++++1892.32,
++++++++1712.98,
++++++++1715.94,
++++++++2052.51,
++++++++1904.53,
++++++++2057.63,
++++++++2587.74,
++++++++2582.84,
++++++++2590.53
++++],
++++"systemRTXVal":+[
++++++++2076.01,
++++++++2001.47,
++++++++1769.89,
++++++++1808.5,
++++++++1799.26,
++++++++1701.01,
++++++++1707.14,
++++++++1713.88,
++++++++1707.75,
++++++++1752.76,
++++++++2066.53,
++++++++1802.88,
++++++++2039.54,
++++++++2587,
++++++++2584.68
++++],
++++"luzonDemandVal":+[
++++++++8684.2,
++++++++8442,
++++++++8103.1,
++++++++7914.7,
++++++++7772.3,
++++++++7573,
++++++++7677.9,
++++++++8457.5,
++++++++9152.1,
++++++++9608.4,
++++++++10021.5,
++++++++9802.4,
++++++++10040.6,
++++++++10336.8,
++++++++10234.5,
++++++++9911.3
++++],
++++"luzonRTDVal":+[
++++++++2075.25,
++++++++2010.45,
++++++++1767.63,
++++++++1909.91,
++++++++1859.16,
++++++++1701.15,
++++++++1706.64,
++++++++1892.31,
++++++++1712.98,
++++++++1715.94,
++++++++2052.5,
++++++++1904.53,
++++++++2057.63,
++++++++2587.74,
++++++++2582.84,
++++++++2590.54
++++],
++++"luzonRTXVal":+[
++++++++2076.01,
++++++++2001.48,
++++++++1769.89,
++++++++1808.51,
++++++++1799.26,
++++++++1701.02,
++++++++1707.14,
++++++++1713.88,
++++++++1707.75,
++++++++1752.76,
++++++++2066.53,
++++++++1802.88,
++++++++2039.54,
++++++++2587,
++++++++2584.68
++++],
++++"visayasDemandVal":+[
++++++++1498.1,
++++++++1469.2,
++++++++1416.2,
++++++++1387.8,
++++++++1384.8,
++++++++1375.4,
++++++++1415.5,
++++++++1537.7,
++++++++1676.1,
++++++++1783,
++++++++1885.3,
++++++++1830.4,
++++++++1869.4,
++++++++1958.9,
++++++++1930.9,
++++++++1855.7
++++],
++++"visayasRTDVal":+[
++++++++2075.25,
++++++++2010.46,
++++++++1767.63,
++++++++1909.91,
++++++++1859.16,
++++++++1701.12,
++++++++1706.63,
++++++++1892.33,
++++++++1712.99,
++++++++1715.94,
++++++++2052.51,
++++++++1904.53,
++++++++2057.62,
++++++++2587.74,
++++++++2582.82,
++++++++2590.51
++++],
++++"visayasRTXVal":+[
++++++++2075.98,
++++++++2001.47,
++++++++1769.85,
++++++++1808.49,
++++++++1799.25,
++++++++1701,
++++++++1707.15,
++++++++1713.86,
++++++++1707.75,
++++++++1752.77,
++++++++2066.52,
++++++++1802.88,
++++++++2039.54,
++++++++2587.03,
++++++++2584.67
++++]
}|dfh3m^0|0|0|0|0^^$0|$]|1|@$2|3|4|5|6|7|8|M|9|@]|A|@]|B|$]]|$2|C|4|D|6|E|8|N|9|@]|A|@]|B|$F|G]]|$2|H|4|I|6|7|8|O|9|@]|A|@]|B|$]]|$2|J|4|K|6|E|8|P|9|@]|A|@]|B|$F|G]]|$2|L|4|-4|6|7|8|Q|9|@]|A|@]|B|$]]]]

This script will get all variables that are in charts:
<pre><code>import json
import requests


url = 'http://180.232.125.102/'
html_data = requests.get(url).text

out = {}
for k, v in re.findall(r'var ((?:system|luzon|visayas).*?)\s+= (\[.*?\]);', html_data):
 out[k] = json.loads(v)

# the data is in variable `out`, now just pretty print it to screen:
print(json.dumps(out, indent=4))
</code></pre>
Prints:
<pre><code>{
 &quot;systemDemandVal&quot;: [
 10182.3,
 9911.2,
 9519.3,
 9302.5,
 9157.1,
 8948.4,
 9093.4,
 9995.2,
 10828.2,
 11391.4,
 11906.8,
 11632.8,
 11910,
 12295.7,
 12165.4,
 11767
 ],
 &quot;systemRTDVal&quot;: [
 2075.25,
 2010.45,
 1767.63,
 1909.91,
 1859.16,
 1701.14,
 1706.64,
 1892.32,
 1712.98,
 1715.94,
 2052.51,
 1904.53,
 2057.63,
 2587.74,
 2582.84,
 2590.53
 ],
 &quot;systemRTXVal&quot;: [
 2076.01,
 2001.47,
 1769.89,
 1808.5,
 1799.26,
 1701.01,
 1707.14,
 1713.88,
 1707.75,
 1752.76,
 2066.53,
 1802.88,
 2039.54,
 2587,
 2584.68
 ],
 &quot;luzonDemandVal&quot;: [
 8684.2,
 8442,
 8103.1,
 7914.7,
 7772.3,
 7573,
 7677.9,
 8457.5,
 9152.1,
 9608.4,
 10021.5,
 9802.4,
 10040.6,
 10336.8,
 10234.5,
 9911.3
 ],
 &quot;luzonRTDVal&quot;: [
 2075.25,
 2010.45,
 1767.63,
 1909.91,
 1859.16,
 1701.15,
 1706.64,
 1892.31,
 1712.98,
 1715.94,
 2052.5,
 1904.53,
 2057.63,
 2587.74,
 2582.84,
 2590.54
 ],
 &quot;luzonRTXVal&quot;: [
 2076.01,
 2001.48,
 1769.89,
 1808.51,
 1799.26,
 1701.02,
 1707.14,
 1713.88,
 1707.75,
 1752.76,
 2066.53,
 1802.88,
 2039.54,
 2587,
 2584.68
 ],
 &quot;visayasDemandVal&quot;: [
 1498.1,
 1469.2,
 1416.2,
 1387.8,
 1384.8,
 1375.4,
 1415.5,
 1537.7,
 1676.1,
 1783,
 1885.3,
 1830.4,
 1869.4,
 1958.9,
 1930.9,
 1855.7
 ],
 &quot;visayasRTDVal&quot;: [
 2075.25,
 2010.46,
 1767.63,
 1909.91,
 1859.16,
 1701.12,
 1706.63,
 1892.33,
 1712.99,
 1715.94,
 2052.51,
 1904.53,
 2057.62,
 2587.74,
 2582.82,
 2590.51
 ],
 &quot;visayasRTXVal&quot;: [
 2075.98,
 2001.47,
 1769.85,
 1808.49,
 1799.25,
 1701,
 1707.15,
 1713.86,
 1707.75,
 1752.77,
 2066.52,
 1802.88,
 2039.54,
 2587.03,
 2584.67
 ]
}
</code></pre>

I'm a noob with python beautifoulsoup library and i'm trying to scrape data from a website's highcharts. i found that all the data i need is located in a script tag, however i dont know how to scrape them (please see the attached image) Is there a way to get the data from this script tag using python beautifulsoup?
<a href="https://i.stack.imgur.com/1Ogao.png" rel="nofollow noreferrer">script</a>

Scrape data from script tag using beautifulsoup

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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 我是一个python美容汤库的新手，我正在尝试从一个网站的highcharts中抓取数据。我发现我需要的所有数据都位于一个脚本标签中，但是我不知道如何抓取它们(请参见附件)有没有办法使用python漂亮的script从这个脚本标签中获取数据？ 

问使用漂亮汤从脚本标记中抓取数据
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