Google My Business is a tool that allows businesses to create and manage their online presence across Google's search engine and maps. It enables businesses to provide accurate and up-to-date information such as contact details, operating hours, and customer reviews, helping them connect with local customers and increase their visibility in search results.
Refer to our website for the list of metrics and attributes available in Dataddo.
Refer to Google's official documentation to see all available endpoints from the Google My Business API.
Authorize Connection to Google My Business
To authorize this service, use OAuth 2.0 to share specific data with Dataddo while keeping usernames, passwords, and other information private.
- On the Authorizers page, click on Authorize New Service and select your service.
- Follow the on-screen prompts to grant Dataddo the necessary permissions to access and retrieve your data.
- [Optional] Once your authorizer is created, click on it to change the label for easier identification.
Ensure that the account you're granting access to holds at least admin-level permissions. If necessary, assign a team member with the required permissions with the authorizer role to authenticate the service for you.
For more information, see our article on authorizers.
Data Coverage
Google My Business exposes the following datasets. Each dataset maps to a table you can extract. Example fields are a representative sample; each dataset returns more columns.
| Dataset | Description | Example fields | Date range |
|---|---|---|---|
| Accounts | A comprehensive list of Google My Business accounts associated with your profile. | Name, Account Name, Permission Level, Role, Type, Verification State (+1 more) | No |
| Action Links | A list of action links associated with your business locations, such as place action URLs. | Name, Account Name, Create Time, Is Editable, Location Name, Location Title (+4 more) | No |
| Engagement Daily Metrics | Daily metrics tracking engagement with your business listing, including call clicks, bookings, impressions, and food orders. | Date, Account Name, Location Name, Daily Metric, Location Title, Value | Yes |
| Locations Attributes Values | Values associated with each location attribute. | Location name, Attribute Name, Account Name, Attributes Value Type, Attributes Values, Location title | No |
| Locations Attributes | A detailed list of attributes providing additional information about each location. | Location name, Attribute Name, Account Name, Display Name, Group Display Name, Location title (+3 more) | No |
| Locations | A comprehensive list of all business locations. | Name, Account Name, AdWords Location Extensions Ad Phone, Additional Categories, Address Lines, Administrative Area (+35 more) | No |
| Media | A collection of media items associated with your business listing. | Account Name, Create Time, Dimensions Height Pixels, Dimensions Width Pixels, Google URL, Location Association Category (+6 more) | No |
| Posts | A list of posts published for your business listing. | Post ID, Account Name, Call To Action Action Type, Call To Action URL, Create Time, Location Name (+11 more) | No |
| Questions and Answers | A list of questions and corresponding answers associated with your business locations. | Question Name, Account Name, Location Name, Location Title, Question Author Display Name, Question Author Profile Photo URI (+10 more) | No |
| Review Lifetime Metrics | Lifetime metrics summarizing review data for your business listing. | Location Name, Account Name, Average Rating, Location Title, Total Review Count | No |
| Reviews | A breakdown of customer reviews for each business location. | Review ID, Account Name, Comment, Create Time, Location Name, Location Title (+6 more) | No |
| Search Lifetime Metrics | Cumulative search metrics for your business listing over its lifetime. | Search Keyword, Location Name, Account Name, Location Title, Threshold, Value | Yes |
How Data Extraction Works
What each extraction pulls depends only on whether a dataset supports a date range (see the Date range column above):
- Date range supported (Yes): the source reads a relative window (for example "last 7 days"), and that window slides forward with the current date. Every run re-reads the window, so a range of "1 day ago" always pulls the previous day (D-1). Each run replaces the window's data rather than adding older history. To load records from before the window, run a full data re-sync with a wider range. See Data Backfilling.
- No date range (No): every run pulls all currently available data.
Set the relative date range when you create the source.
Metadata Columns
When you create a source, you can add these Dataddo metadata columns to the extracted data:
- dataddo_hash - a fingerprint built from each record's key fields. It works as a natural key, so it is ideal for upserts (updating existing rows in your destination instead of creating duplicates).
- dataddo_extraction_timestamp - the date and time the row was extracted. Use it to track how records change over time, for example to build slowly changing dimensions.
How to Create a Google My Business Data Source
Creating a data source takes you through six steps, shown in the progress bar at the top of the wizard. Each step is explained below.
1. Pick the connector
On the Sources page, click Create Source, then select the connector from the catalog. Use the search bar or the category tabs if you do not see it right away. You can rename the source at any time using the pencil icon next to its name.
2. Select the dataset
A dataset defines the shape of your data: which fields you get and how they relate. Select the dataset you want; you can still fine-tune the exact fields later.
- Each dataset has a short description of what it contains. Use the search box to find a dataset, attribute, or metric by name.
- The panel on the right previews the selected dataset's fields. For each field you can see its data type, whether it holds sensitive data (personal fields such as name or email are flagged), and which other datasets it links to, so you can see how the datasets relate.
3. Choose the account
This step selects what Dataddo reads from.
- Authorizer: Select an account you have already authorized from the drop-down. If you have none yet, choose Add new account and follow the prompts. If no authorizer is selected, Dataddo asks you to authorize before you continue.
- What to extract from: Select the exact entity you want to pull data from. Depending on the service this may be labelled an account, property, profile, workspace, or similar, sometimes with a sub-level to choose as well.
- Multiple accounts: To pull the same data from every entity you can access, turn on Automatically collect data from all .... This is multi-account extraction. Leave it off to choose them by hand.
4. Refine the attributes and metrics
The dataset already sets the structure. Here you fine-tune it: tick or untick the specific attributes and metrics you want to keep, and use the search box to find a field quickly. Click Test on Sample Data at any point to preview the result before you continue.
5. Add metadata columns (optional)
Two optional columns help your destination handle the data.
- Dataddo Hash (Include Row Hash): a fingerprint built from the columns you pick. It works as a natural key, so your destination can deduplicate rows and run upserts instead of creating duplicates. Turn it on, then select the columns that uniquely identify a row.
- Dataddo Extraction Timestamp: the time each row was extracted. Use it to watermark the data, for example to build slowly changing dimensions or to track when a value last changed.
6. Set the schedule
Decide how often Dataddo runs the extraction.
- Frequency: how often the pipeline runs, for example daily. Click Show advanced settings to also set the exact hour and minute (UTC).
- Date range: the relative window each run extracts, for example "Yesterday". The window moves forward on every run.
- Historical data: a new source starts from the current window. To load older data, run a full data re-sync after the source is created.
- Allow Empty Data Extractions: when on, a run that returns no data records zero rows instead of failing. Turn it on if the source can legitimately have periods with no data.
Click Save. Your data source is ready.
Limitations
Historical Data Limitation
The Google My Business API allows you to extract data up to 14 months back.
For more information, refer to our guide for data backfilling.
Reviews per Location
The Google My Business API allows you to extract up to 50 reviews per location.
Troubleshooting
Data Preview Unavailable
No data preview when you click on Test Data might be caused by an issue with your source configuration. The most common causes are:
- Date range: Try a smaller date range. You can load the rest of your data afterward via manual data load.
- Insufficient permissions: Please make sure your authorized account has at least admin-level permissions.
Fresh Data Unavailable
Google takes between 24 - 72 hours to process data which is why it’s possible to get data only from 3 days ago or older. Please change your date range to 3d3 or older.
No Locations Insights
When you select Google My Business' Locations dataset, Dataddo will list all locations that are available under the account, regardless of their visibility.
However, if a listed location is not visible there will be no insights available.
Please double check if these locations
- are visible in your Google My Busineess UI,
- are visible in your Google Maps, and
- have been approved and published online.
Related Articles
Now that you have successfully created a data source, see how you can connect your data to a dashboarding app or a data storage.
Sending Data to Dashboarding Apps
Sending Data to Data Storages
Other Resources