I'm working with Ads Data Hub using Google Ads data. My campaign starts from 14/12/2020 (Date-Month-Year) and ends at 15/02/2021 . I ran some queries in Ads Data Hub with Google ads data in this campaign time . But the result I ran in 14/03/2021 is not same as in 16/03/2021. So I wonder whether the data in the past can be updated in the future ? And I want to know how to query correctly to receive stable result
Related
I am working with youtube data api and trying to get Live Broadcast schedule time not publish time.
Example
Apr 10, 2022
ScheduledFor more details image attached here
Please answer the relative answer if you know your answer will be highly appreciated.
I don't think it's possible with the YouTube Data API.
You could use the "search" endpoint for retrieve the "upcoming" videos from a given channel - see example - and then use another tool for extract (i.e. web scraping) the videos obtained from the previous search request for get the values "scheduledStartTime" and "startTimestamp" in the embed javascript code - both contains the scheduled time in UNIX and Date Time value respectively.
Also, check in Issue Tracker if there is an official response.
I am using a third-party tool that use the Adwords Reporting https://developers.google.com/adwords/api/docs/appendix/reports/all-reports to retrieve data.
At the moment all the "Performance Max" campaigns are lost from the Adwords Reporting and I need to retrieve them to include their costs.
With the migration from Adwords to Ads, also, I need to find a solution before April 2022.
I only need to move that data into my Google BigQuery project.
At the moment the solution using the BigQuery Data Transfer is NOT OK because use the same v201809 reporting of Adwords ( https://cloud.google.com/bigquery-transfer/docs/adwords-transfer?hl=en-GB )
.
Also the Google Ads Script don't support Google Ads but only report name of Adwords v201809 ( https://developers.google.com/google-ads/scripts/docs/solutions/bigquery-exporter )
Do you have a suggestion to help me?
Thanks
You have several options and the solutions depends on level in which you want to report data. On campaign level you can fetch data about impressions, clicks and cost from Google Analytics API if you have connected ads and analytics accounts.
If you want more granular information you can create report in google ads and schedule downloads of this report, for example everyday. Only problem is that performance max campaigns combine multiple types of ads, so on some dimensions you can get no data, for example campaign spend 50 eur yesterday, but in report with product id this campaign spent only 25. I combine this two sources, it isn't ideal, but better than total blindness now days.
Remember: Do not select an AdGroup when querying Performance Max campaigns, as no campaigns will be returned.
https://developers.google.com/google-ads/api/docs/performance-max/reporting
Solution --> I use two different GAQL :
one FROM ad_group for the details needed with the ad_groups resource
another FROM campaign without any ad_group in the SELECT
I am currently in the process of creating an overview of ad spent per landing page/destination url.
We are using several campaign types:
Shopping
(Responsive) Search Ads
Dynamic Search Ads
I am struggling to get a report per landingpage for each campaign type. We have multiple Customer Ids and I would need data for all Customer Ids. When looking at the Google Ads API documentation I think I would need these two reports to get all I need
Keywordless Query Report (for Dynamic Search Ads landing pages): https://developers.google.com/adwords/api/docs/appendix/reports/keywordless-query-report
Landing Page Report (for Shopping and (responsive) search ads landing pages): https://developers.google.com/adwords/api/docs/appendix/reports/landing-page-report
Ideally, the data would be uploaded to a BigQuery dataset.
What I have tried:
I have set up a BigQuery Data Transfer (https://cloud.google.com/bigquery-transfer/docs/adwords-transfer). This contains a lot of reports but not the two reports listed above.
I have tried a Google Ads script, but my knowledge of that is too little to write a script that woudl give the same/similar results as the two reports listed above. Next to that I would need help getting this data in my BigQuery project.
Solved it.
There is a Google Ads Script which requires minimum adjustments to fulfill my needs:
Single Account: https://developers.google.com/google-ads/scripts/docs/solutions/bigquery-exporter
Manager Account: https://developers.google.com/google-ads/scripts/docs/solutions/adsmanagerapp-bigquery-exporter
I simply had to change the:
BIGQUERY_PROJECT_ID
BIGQUERY_DATASET_ID
list of reports (I only needed "LANDING_PAGE_REPORT")
From the picture, you can see how followers statistics looks on minter.io
The only way how I imagine I would count the followers change: I would download the list of all he followers every day by the Instagram API to my DB. And after having this history already can calculate any change.
But on minter.io you can have such a graphics after few minutes after registration... How???
They are probably storing this information on a daily basis and hence are able to keep a historical trend.
If you go to the minter.io website, they mention at the bottom that they have collected data for close to 198 million accounts. I guess you were one of those.
You don't need to get the list of all followers just to show the absolute change in the numbers. The Instagram API gives that directly when you query any of the endpoints giving user information.
I know how it works at smartmetrics.co.
Smartmetrics collects information about all followers of tracked accounts and build history based on this data. So if you followed someone who is already tracked, you can get history for your account.
But minter makes fake linear graph according to some tests: How to Get Historical Data from Instagram API
Crowdbabble and Minter re-use Twitter tokens, which allows them to collect data on millions of accounts. This gives you the historical data that you want -- change in followers over time. As an individual, you aren't able to access the Twitter API and aggregate data like that for storage as easily. You don't have thousands of people giving you tokens that you can then scrape and store on a regular basis.
Crowdbabble has a free 14 day trial with no payment info required. If you don't want in-depth analytics, Twittercounter will give you your follower numbers over the past 30 days -- you can view each day separately.
I am wondering if there is a way to pull Google Analytics un-sampled historical data for 2 years via API using CC Rest connector component. Unfortunately the GA account is a standard and not a premium so I can not get around 500K limit.
It would be great if GoodData Developer team can share an ETL graph file to solve this request. It is a common use case per clients.
Thanks,
Andy
I have discovered this kind of solution.
Run the ga_00_master graph that will run multiple time the ga_01_sub graph. For each day you want to have the data it will send a request to Google Analytics and gives you a file with the data for that day.
There are few things to do
fill in GA_CONNECTION to sub graph
and link parameter file ga_params.prm
and parameters
for master graph:
GA_MIN_DATE = "yyyy-MM-dd"
for sub graph:
PROFILE_NUMBER