英文:
How to scrape data from an interactive chart using python?
问题
我想从以下链接中的“价值历史”图表中提取日期和总值数据,当图表设置为1年时:
https://csgoskins.gg/markets/csgofloat
我尝试查看网站上的数据是否存储在json文件中,但似乎不是这样。
我在查看网站的javascript代码时找到了这个,这让我认为数据存储在一个名为t的变量中,但我还没有找到它:
series: [{
name: "Total Value",
type: "line",
showInNavigator: !0,
color: "#60a5fa",
marker: {
lineColor: "#60a5fa"
},
data: t.map((function(t) {
return [Date.parse(t.day), t.sales_value]
}
这是一个名为window.createMarketValueHistoryChart = function(t)
的函数的一部分。
任何帮助将不胜感激!
英文:
I would like to scrape the date and total value data from the "Value History" chart on the following link when the chart is set to 1Y:
https://csgoskins.gg/markets/csgofloat
I've tried to look and see if the data on the site is stored in a json file, but it does not seem like it.
I found this looking at the javascript code of the site, which makes me think the data is stored within a variable called t, but I haven't been able to find it:
series: [{
name: "Total Value",
type: "line",
showInNavigator: !0,
color: "#60a5fa",
marker: {
lineColor: "#60a5fa"
},
data: t.map((function(t) {
return [Date.parse(t.day), t.sales_value]
}
Which is part of a function called: window.createMarketValueHistoryChart = function(t)
Any help would be much appreciated!
答案1
得分: 0
检查控制台中的 history
变量。类似以下代码:
history.forEach(v => {console.log(v.day, v.sales_value)})
将打印出您所需的数据。
转换为 pandas
如果您使用 Chrome(但我认为对大多数浏览器都适用),在控制台中输入 history
,然后按回车键,在输出上右键单击,选择 "Copy object"。将其粘贴到 data.json
文件中,然后使用以下代码读取:
df = pd.read_json('data.json')
英文:
Check the history
variable in the console. Something like:
history.forEach(v => {console.log(v.day, v.sales_value)})
will print the data you need.
Getting it to pandas
If you use Chrome (but I'd assume that should work for most browsers), in the console write history
, hit enter, right-click on the output, "Copy object". Paste it into data.json
file and read with:
df = pd.read_json('data.json')
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