从Google趋势下载.csv文件
我希望从我通过代码创建的url下载Google趋势数据。 当这些URL放入浏览器（我使用firefox）时会显示一个保存提示，我可以选择在查看浏览器时打开或保存文件。 但是，我希望通过代码包含Google趋势数据的相同.csv文件，我被困住了。
这是我的代码创建的链接之一：[提示下载，但是是谷歌]
https://www.google.com/trends/trendsReport?hl=en-US&q=debt&geo=US&date=now%207-d&cmpt=q&content=1&export=1
我有这个链接的两个问题，它要么下载带有中文字符的.csv文件（我相信已损坏？），要么下载一些HTML（如下所示）。 当HTML保存为HTML文件并运行时，它会将我带到Google趋势主页，其中包含看似无用的URL：
https://www.google.com/trends/#geo=US&date=now+7-d&cmpt=q&q=debt&hl=en-US&content=1
Redirecting // Accessing window.external members can cause IE to throw exceptions. // Any code that acesses window.external members must be try/catch wrapped /** @preserveTry */ try { if (top == self) { if (window.gtbExternal) { window.gtbExternal.setM(); } else { window.external.setM(); } } } catch(err) { } location.replace("http://www.google.com/trends#geo\x3dUS\x26date\x3dnow+7-d\x26cmpt\x3dq\x26q\x3ddebt\x26hl\x3den-US\x26content\x3d1") 另外，这里是我用来下载.csv文件的代码，基本的WebClient下载方法，字符串url可以用上面的URL代替。
public static void Download(string url) { WebClient webClient = new WebClient(); webClient.DownloadFile(url, @"C:\Users\Sean\Desktop\StockAp\StockApp\StockApp\report.csv"); }
注意：我知道WebClient从页面下载HTML，如果有办法操纵URL以获取HTML格式的数据，那当然会更容易。 但是，据我所知，以某种方式获取CSV会好得多。
对于那些将来正在考虑这个问题的人，我在这里找到了一种从Google趋势术语中获取/收集数据的方法。
我开始使用一种方法，根据2个要求，查询和句点从头开始创建不同的URL。 查询是搜索词，句点是您想要的过去时间长度（限于最后一小时，最后4小时，过去24小时，上周）。 对于那些想知道我如何计算新url的人，请阅读这篇文章（ http://techslides.com/hacking-the-google-trends-api ）。 它包含大量有关收集Google趋势数据的多种方式的信息。
以下是URL构建器方法的代码：
public static string Build(string query, int period) { string url; string start = "http://www.google.com/trends/fetchComponent?hl=en-US&q="; string geo = "&geo=US"; string end = "&cid=TIMESERIES_GRAPH_0&export=5&w=500&h=300"; string sPeriod = ""; if (period == (1 / 24)) { sPeriod = "&date=now 1-H"; } else if (period == (4 / 24)) { sPeriod = "&date=now 4-H"; } else if (period == 1) { sPeriod = "&date=now 1-d"; } else if (period == 7) { sPeriod = "&date=now 7-d"; } else { Console.WriteLine("URL.Build Error: period is not equal to presets"); } url = start + query + geo + sPeriod + end; return url; }
其次，我使用WebClient创建了URL并从所述URL下载了HTML，并通过基本的WebClient代码将其存储到.txt文件中，如下所示：
public static void Download(string url) { WebClient webClient = new WebClient(); webClient.Credentials = CredentialCache.DefaultCredentials; webClient.DownloadFile(url, @"C:\Users\Sean\Desktop\StockApp\StockApp\StockApp\report.txt"); }
此代码提供了一个文本文件，其中包含一行HTML，用于创建在之前创建的url上看到的图表（ https://www.google.com/trends/fetchComponent?hl=zh-CN&q=debt&geo=US&date =现在％207-d＆cid = TIMESERIES_GRAPH_0＆export = 5＆w = 500＆h = 300 ）这是一个巨大的文本行：
var chartData = {"columns":[{"id":"d","label":"Date","type":"datetime"},{"role":"annotation","type":"string"},{"p":{"html":true},"role":"annotationText","type":"string"},{"id":"q0","label":"debt","type":"number"},{"role":"annotation","type":"string"},{"p":{"html":true},"role":"annotationText","type":"string"},{"role":"certainty","type":"boolean"}],"headlineDataPoints":[],"width":485,"axisAnnotations":[],"rows":[[{"v":new Date(2016, 10, 14, 20, 30),"f":"Nov 14, 2016, 20:30 GMT"},null,null,73,null,null,true],[{"v":new Date(2016, 10, 14, 21, 30),"f":"Nov 14, 2016, 21:30 GMT"},null,null,70,null,null,true],[{"v":new Date(2016, 10, 14, 22, 30),"f":"Nov 14, 2016, 22:30 GMT"},null,null,70,null,null,true],[{"v":new Date(2016, 10, 14, 23, 30),"f":"Nov 14, 2016, 23:30 GMT"},null,null,63,null,null,true],[{"v":new Date(2016, 10, 15, 0, 30),"f":"Nov 15, 2016, 00:30 GMT"},null,null,62,null,null,true],[{"v":new Date(2016, 10, 15, 1, 30),"f":"Nov 15, 2016, 01:30 GMT"},null,null,61,null,null,true],[{"v":new Date(2016, 10, 15, 2, 30),"f":"Nov 15, 2016, 02:30 GMT"},null,null,61,null,null,true],[{"v":new Date(2016, 10, 15, 3, 30),"f":"Nov 15, 2016, 03:30 GMT"},null,null,62,null,null,true],[{"v":new Date(2016, 10, 15, 4, 30),"f":"Nov 15, 2016, 04:30 GMT"},null,null,68,null,null,true],[{"v":new Date(2016, 10, 15, 5, 30),"f":"Nov 15, 2016, 05:30 GMT"},null,null,75,null,null,true],[{"v":new Date(2016, 10, 15, 6, 30),"f":"Nov 15, 2016, 06:30 GMT"},null,null,69,null,null,true],[{"v":new Date(2016, 10, 15, 7, 30),"f":"Nov 15, 2016, 07:30 GMT"},null,null,66,null,null,true],[{"v":new Date(2016, 10, 15, 8, 30),"f":"Nov 15, 2016, 08:30 GMT"},null,null,69,null,null,true],[{"v":new Date(2016, 10, 15, 9, 30),"f":"Nov 15, 2016, 09:30 GMT"},null,null,79,null,null,true],[{"v":new Date(2016, 10, 15, 10, 30),"f":"Nov 15, 2016, 10:30 GMT"},null,null,75,null,null,true],[{"v":new Date(2016, 10, 15, 11, 30),"f":"Nov 15, 2016, 11:30 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GMT"},null,null,64,null,null,true],[{"v":new Date(2016, 10, 21, 8, 30),"f":"Nov 21, 2016, 08:30 GMT"},null,null,83,null,null,true],[{"v":new Date(2016, 10, 21, 9, 30),"f":"Nov 21, 2016, 09:30 GMT"},null,null,100,null,null,true],[{"v":new Date(2016, 10, 21, 10, 30),"f":"Nov 21, 2016, 10:30 GMT"},null,null,60,null,null,true],[{"v":new Date(2016, 10, 21, 11, 30),"f":"Nov 21, 2016, 11:30 GMT"},null,null,49,null,null,true],[{"v":new Date(2016, 10, 21, 12, 30),"f":"Nov 21, 2016, 12:30 GMT"},null,null,49,null,null,true],[{"v":new Date(2016, 10, 21, 13, 30),"f":"Nov 21, 2016, 13:30 GMT"},null,null,55,null,null,true],[{"v":new Date(2016, 10, 21, 14, 30),"f":"Nov 21, 2016, 14:30 GMT"},null,null,59,null,null,true],[{"v":new Date(2016, 10, 21, 15, 30),"f":"Nov 21, 2016, 15:30 GMT"},null,null,60,null,null,true],[{"v":new Date(2016, 10, 21, 16, 30),"f":"Nov 21, 2016, 16:30 GMT"},null,null,62,null,null,true],[{"v":new Date(2016, 10, 21, 17, 30),"f":"Nov 21, 2016, 17:30 GMT"},null,null,62,null,null,true],[{"v":new Date(2016, 10, 21, 18, 30),"f":"Nov 21, 2016, 18:30 GMT"},null,null,62,null,null,true],[{"v":new Date(2016, 10, 21, 19, 30),"f":"Nov 21, 2016, 19:30 GMT (partial data)"},null,null,60,null,null,true]],"showHeadlines":false,"percentData":false,"colors":["#3f85f2"],"height":230}; var htmlChart = new trends.HtmlChart( 'time-chart', chartData.columns, chartData.rows, chartData.headlineDataPoints, null , chartData.showHeadlines,true, chartData.percentData, chartData.colors, chartData.width, chartData.height, chartData.axisAnnotations,true);htmlChart.render();
使用HTML的这一行，我减少了不必要的信息，留下了搜索的日期和值，然后我可以在我的程序中使用。