Getting exact data from Google Trends - google-trends

I am searching on Google Trends who has searched on a particular topic (say 100 searches per month) , How can i extract data who are those people who have searched that particular topic, can i have their details or any thing using API?
thanks
I have tried to search online but not able to get the desired data

Google Trends data is aggregated and anonymized, so the information you're looking for is not available.
From Google Trends Help Center:
After search data is collected, we categorize it, connect it to a
topic, and remove any personal information.

Related

Google Analytics DataSet Type (CRMint)

I am novice to Google Analytics and I am using a tool called CRMint to import a custom audience to Google Analytics. A Data Scientist is using a model to predict if a user has more chances to buy a product than another. Right now, I have a csv file containing 2 columns fullVisitorId and predictions.
On CRMint, I am using a job called "GaDataImporter" to import that CSV file into Google Analytics. As you can see on the picture bellow, I need to provide a GA Dataset ID.
I am currently trying to create a new DataSet from my Google Analytics dashboard but I am not sure about the dataset type and the import bahavihor. Anyone has some suggestions?
fullVisitorId is not an available dimension in Google Analytics (found only on BigQuery) so you cannot use it to link information to users in Google Analytics.
Rather you should use the clientId passed to Analytics as custom dimension, then use that as a key by importing the data as Custom Data.
(If you are novice to Google Analytics it is not something that can be explained in a post, anyway the process described is what you need)

Google Ads data in BigQuery - How to link p_ExtensionsSitelinks with p_AdStats?

This is a question addressed to users of Google Ads data in BigQuery.
My goal is to create a dashboard displaying all ad extensions (Sitelinks, callouts ...) and their results.
In BigQuery, we have this dataset called "rawdata" imported from Google Ads. I noticed that ad extensions have specific tables and are not in generic tables like "p_Ad" or "p_AdStats". Instead we can find them in p_ExtensionsCallouts, p_ExtensionsSitelinks.
But in p_ExtensionsSitelinks we only find ad texts, no figures, no results. So I need to link to another table containing results. CreativeId in p_AdStats seemed to be the key between my results and the id in my sitelinks table.
I tried to join p_AdStats to p_ExtensionsSitelinks, on p_AdStats.CreativeId = p_ExtensionsSitelinks.Id, but no success. Id in p_ExtensionsSitelinks seems to be a very specific id, not found in p_Ad.
Screenshot of p_ExtensionsSitelinks Schema
Does anyone have already encountered this problem please?
Thank you very much.
Cheers, Julien

GCP : Is there any exchangeable format to get revised price value immediately?

We are working in one of the customer module. With the help of this module, we are calculating price for google cloud components like compute engine with attributes images, boot disk, region, snapshot etc.
But we found that GCP is revising the prices and JSON is not modifying immediately. Newly revised pricing values comes in JSON after few days.
So the price according to JSON and price in google cosole/calculator are different in this case.
Is there any exchangeable format to get revised pricing immediately?
The JSON file isn't exactly the ideal way to obtain pricing information anymore. In fact, the link to the JSON file was removed from the Pricing Calculator page very recently precisely because they want people to start using the Catalogue API. That one has the prices up-to-date for sure, so I'd recommend you to use that instead.

Google Finance API Time Period

I am using a C# class to get the prices of a given stock from Google Finance.
The communication between the class and the Web Service is working well.
I am using the following url:
http://www.google.com/finance/historical?output=csv&q=BBAS3
The problem is that the returned prices are only from about 1 year ago.
I need to get all the available prices records.
If I search for stock ticker "BBAS3" in the Google webpage, it shows me a graph that goes until 2003.
As far I could find, there is no official documentation about the API.
I found some more info in this site:
Google's Undocumented Finance API
As it shows, I can use the following parameter:
p - Period. (A number followed by a "d" or "Y", eg. Days or years. Ex: 40Y = 40 years.)
Then I tried (&p=5Y):
http://www.google.com/finance/historical?output=csv&p=5Y&q=BBAS3
But the result was the same.
Does anyone knows another way to achieve what I need?
Google is changed Now.
I've been playing around with the undocumented Google Finance API. It provides intra-day data for the past 10 days and day-granularity data going back for years. Handy!
There are lots of web pages that attempt to describe how this thing works. I've pulled together a bunch of data from them, as well as a few of my own observations. You can watch this thing in action by popping open FireBug while messing about on with the google finance chart. It will make AJAX requests to this API.
Here's an example URL to pull all historical data for GOOG at daily granularity:
http://www.google.com/finance/getprices?q=GOOG&x=NASD&i=86400&p=40Y&f=d,c,v,k,o,h,l&df=cpct&auto=0&ei=Ef6XUYDfCqSTiAKEMg
Visit this Documentation
As You Search is Available at
https://www.google.com/finance/getprices?q=BBAS3&x=BVMF

Guide to using google URL to get options chain data?

I'd like to enter a URL into google and get all options chain data for a particular stock. Is there a guide that shows you how to use it, like if I wanted to grab all options that expire in the next year without knowing the individual expiration dates, or if I just wanted a particular strike price? I found another question that gives me the basic outline, but doesn't specify the details:
Finance historical options data (with strikes etc) on google finance API
Here is an example on how to do this using the ImportHTML function, although there is a delay in the data of course.
=importhtml("http://finance.yahoo.com/q/op?s=QQQ&m=2013-12","table",0)