Google Sheets Connector for Python

In this article you will learn how to integrate Google Sheets data in Python (live / bi-directional connection to Google Sheets). Read / write Google Sheets data inside your app, perform many Google Sheets operations without coding using easy to use high performance API Connector for Google Sheets.

Using Google Sheets Connector you will be able to connect, read, and write data from within Python. Follow the steps below to see how we would accomplish that.

Download  Help File 

Create ODBC Data Source (DSN) based on ZappySys API Driver

To get data from GoogleSheets using Python we first need to create a DSN (Data Source) which will access data from GoogleSheets. We will later be able to read data using Python. Perform these steps:

  1. Install ZappySys ODBC PowerPack.

  2. Open ODBC Data Sources (x64):
    Open ODBC Data Source

  3. Create a User Data Source (User DSN) based on ZappySys API Driver

    ZappySys API Driver
    Create new System DSN for ZappySys API Driver
    You should create a System DSN (instead of a User DSN) if the client application is launched under a Windows System Account, e.g. as a Windows Service. If the client application is 32-bit (x86) running with a System DSN, use ODBC Data Sources (32-bit) instead of the 64-bit version.
  4. When the Configuration window appears give your data source a name if you haven't done that already, then select "Google Sheets" from the list of Popular Connectors. If "Google Sheets" is not present in the list, then click "Search Online" and download it. Then set the path to the location where you downloaded it. Finally, click Continue >> to proceed with configuring the DSN:

    GoogleSheetsDSN
    Google Sheets
    ODBC DSN Template Selection

  5. Now it's time to configure the Connection Manager. Select Authentication Type, e.g. Token Authentication. Then select API Base URL (in most cases, the default one is the right one). More info is available in the Authentication section.

    Steps to get Google Sheets Credentials
    This connection can be configured in two ways. Use Default App (Created by ZappySys) OR Use Custom App created by you.
    To use minimum settings you can start with the ZappySys created App. Just change UseCustomApp=false on the properties grid so you dont need ClientID / Secret. When you click Generate Token you might see a warning about App is not trusted (Simply Click Advanced Link to expand hidden section and then click Go to App link to Proceed).

    To register a custom app, perform the following steps (Detailed steps found in the help link at the end):

    1. Go to Google API Console.
    2. From the Project Dropdown (usually found at the top bar) click Select Project.
    3. On the Project Popup click CREATE PROJECT.
    4. Once the project is created you can click Select Project to switch the context (You can click on Notification link or Choose from Top Dropdown).
    5. Click ENABLE APIS AND SERVICES.
    6. Now we need to Enable two APIs one by one (Sheets API and Drive API).
    7. Search Sheets. Select and click ENABLE.
    8. Search Drive. Select and click ENABLE.
    9. Go back to the main screen of the Google API Console
    10. Click the OAuth Consent Screen tab. Enter necessary details and Save.
    11. Click the Credentials tab.
    12. Click CREATE CREDENTIALS (some where in topbar) and select OAuth Client ID option.
    13. When prompted Select Application Type as Desktop App and click Create to receive your ClientID and Secret. You can use this information now to configure Connection with UseCustomApp=true.
      NOTE: If you are planning to use your current data connection/token for automated processes, we recommend that you use a generic account for token generation when the login box appears (e.g. sales_automation@mycompany.com instead of bob_smith@mycompany.com). When you use a personal account which is tied to a specific employee profile and that employee leaves the company, the token may become invalid and any automated processes using that token will fail. Another potentially unwanted effect of using a personal token is incorrect logging; the API calls (e.g. Read, Edit, Delete, Upload) made with that token will record the specific user as performing the calls instead of an automated process.

    Fill in all required parameters and set optional parameters if needed:

    GoogleSheetsDSN
    Google Sheets
    User Account [OAuth]
    https://sheets.googleapis.com/v4/spreadsheets
    Required Parameters
    UseCustomApp Fill in the parameter...
    Default SpreadSheetId Fill in the parameter...
    Optional Parameters
    ClientId Fill in the parameter...
    ClientSecret Fill in the parameter...
    Scope Fill in the parameter...
    Default Tab Name (i.e. Sheet1) Fill in the parameter...
    RetryMode Fill in the parameter...
    RetryStatusCodeList Fill in the parameter...
    RetryCountMax Fill in the parameter...
    ODBC DSN Oauth Connection Configuration
    Steps to get Google Sheets Credentials
    Use these steps to authenticate as service account rather than Google / GSuite User. Learn more about service account here

    Basically to call Google API as Service account we need to perform following steps listed in 3 sections (Detailed steps found in the help link at the end)

    Create Project

    First thing is create a Project so we can call Google API. Skip this section if you already have Project (Go to next section)
    1. Go to Google API Console
    2. From the Project Dropdown (usually found at the top bar) click Select Project
    3. On Project Propup click CREATE PROJECT
    4. Once project is created you can click Select Project to switch the context (You can click on Notification link or Choose from Top Dropdown)
    5. Click ENABLE APIS AND SERVICES
    6. Now we need to Enable two APIs one by one (Sheets API and Drive API).
    7. Search Sheets. Select and click ENABLE
    8. Search Drive. Select and click ENABLE

    Create Service Account

    Once Project is created and APIs are enabled we can now create a service account under that project. Service account has its ID which looks like some email ID (not to confuse with Google /Gmail email ID)
    1. Go to Create Service Account
    2. From the Project Dropdown (usually found at the top bar) click Select Project
    3. Enter Service account name and Service account description
    4. For Role, do not select anything for now and Click Continue and then click Done. Next we will create Key.

    Create Key

    Once service account is created we need to create key file (i.e. credentials).
    1. In the Cloud Console, click the email address for the service account that you created.
    2. Click Keys.
    3. Click Add key, then click Create new key.
    4. Click Create and select P12 format. A P12 key file is downloaded to your computer. We will use this file in our API connection.
    5. Click Close.
    6. Now you may use downloaded *.p12 key file as secret file and Service Account Email as Client ID (e.g. some-service-account-name@your-project-id.iam.gserviceaccount.com ).

    Add Permission

    Now last thing is give read/write permission to Service Account. Basically you can create or open Google Sheet and add the Service Account as an editor to it as below.
    1. Copy the email address of your service account we created in previous step (its usually like this some-service-account-name@your-project-id.iam.gserviceaccount.com).
    2. Create or select an existing Google Sheet.
    3. Navigate to Sheet for which you like to give read/write access to Service Account.
    4. Click on the Share button in the top right, and add the email address of the service account as an editor. Here is how to share file(s) with specific people. Juse share with Service Account (use Service Account Email found on previous section)

    Fill in all required parameters and set optional parameters if needed:

    GoogleSheetsDSN
    Google Sheets
    Service Account (Using Private Key File) [OAuth]
    https://sheets.googleapis.com/v4/spreadsheets
    Required Parameters
    Service Account Email Fill in the parameter...
    Service Account Private Key Path (i.e. *.p12) Fill in the parameter...
    Default SpreadSheetId Fill in the parameter...
    Optional Parameters
    Scope Fill in the parameter...
    Default Tab Name (i.e. Sheet1) Fill in the parameter...
    RetryMode Fill in the parameter...
    RetryStatusCodeList Fill in the parameter...
    RetryCountMax Fill in the parameter...
    ODBC DSN Oauth Connection Configuration

  6. Once the data source has been configured, you can preview data. Select the Preview tab and use settings similar to the following to preview data:
    ODBC ZappySys Data Source Preview

  7. Click OK to finish creating the data source.

Read data in Python from the DSN

  1. Python code to get the data:

    GoogleSheetsDSN')
    Python code to get the data from ZappySys DSN

  2. When you run the code it will make the API call and read the data:
    Python - Extracted data from ZappySys DSN

  3. Here is Python program's code in text format:

    
        import pyodbc
        conn = pyodbc.connect('DSN=GoogleSheetsDSN')
    
        cursor = conn.cursor()
    
        #execute query to fetch data from API service
        cursor.execute("SELECT id,title FROM products")
    
        row = cursor.fetchone()
        while row:
            print(row)
            row = cursor.fetchone()
    
        ##For loop example
        #for row in cursor:
        #    print(row)
    

  4. If you want to avoid to be dependent on a DSN name and creating multiple DSNs for each platform (x86, x64), then you can use a fully qualified connection string. Simply go to your DSN and copy the Connection String . Then in your Python code use Connection String when initializing OdbcConnection object, for example:

    conn = pyodbc.connect('DRIVER={ZappySys API Driver};ServiceUrl=https://yourservices.provider.com/api/xxxx....;AuthName=Http;')
    How to get ZappySys Driver Connection String?

    Please follow the instructions below to retrieve the connection string for the ZappySys driver.

    1. Click on the Windows Start menu.

    2. In the search bar, type ODBC and press Enter.

    3. From the search results, choose ODBC Data Sources or ODBC Data Sources (32-bit) or a similar option depending on your system architecture and ODBC driver configuration.

    4. Choose your data source from the list, then click on the Configure button.
    5. After opening the Data Source UI, you should copy the connection string to a Notepad or text file for reference.
    6. Click on Copy Connection String button.
      When you click 'Copy Connection String,' you may encounter the following option:
      Choose the third option All Settings to copy everything and click on OK button.
      zappysys-data-source-copy-connectionstring
      zappysys-data-source-copy-connectionstring

    That's it connection string has been successfully copied.

How to install `pyodbc` in the Python?

You would need to install pyodbc in Python if you intend to establish connections to databases that support ODBC (Open Database Connectivity). This module facilitates communication between Python applications and various database management systems, enabling you to perform operations such as querying, retrieving data, and managing databases. Here's how you can install pyodbc in Python:

Installation Steps:

  1. Ensure you have Python installed on your system. If not, download it from the official Python website and follow the installation instructions.

  2. Open your terminal or command prompt.

  3. Use the following command to install pyodbc using pip, the Python package installer:

    python -m pip install "pyodbc"

    Make sure you have a stable internet connection and the necessary permissions to install Python packages.


    Python - pip install pyodbc

Reasons to Install:

  • If pyodbc is not installed, your Python script will generate the following error:
    "ModuleNotFoundError: No module named 'pyodbc'"
    .
  • Database Connectivity: pyodbc allows Python to connect to various databases that support ODBC, such as Microsoft SQL Server, PostgreSQL, MySQL, and more.

  • Data Operations: It facilitates the execution of SQL queries, retrieval of data, and other database operations from within Python scripts.

  • Cross-Platform Support: pyodbc is designed to work across different operating systems, including Windows, macOS, and various Linux distributions.

  • Simplicity and Efficiency: The module provides an intuitive interface for managing database transactions and connections, simplifying the process of working with databases in Python.

By installing pyodbc, you can seamlessly integrate your Python applications with a wide range of ODBC-supported databases, enabling efficient and effective data management and analysis.

Create Custom Store Procedure in ZappySys Driver

You can create procedures to encapsulate custom logic and then only pass handful parameters rather than long SQL to execute your API call.

Steps to create Custom Store Procedure in ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here

  1. Go to Custom Objects Tab and Click on Add button and Select Add Procedure:
    ZappySys Driver - Add Store Procedure

  2. Enter the desired Procedure name and click on OK:
    ZappySys Driver - Add Store Procedure Name

  3. Select the created Store Procedure and write the your desired store procedure and Save it and it will create the custom store procedure in the ZappySys Driver:
    Here is an example stored procedure for ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here

    CREATE PROCEDURE [usp_get_orders]
        @fromdate = '<<yyyy-MM-dd,FUN_TODAY>>'
     AS
        SELECT * FROM Orders where OrderDate >= '<@fromdate>';
    

    ZappySys Driver - Create Custom Store Procedure

  4. That's it now go to Preview Tab and Execute your Store Procedure using Exec Command. In this example it will extract the orders from the date 1996-01-01:

    Exec usp_get_orders '1996-01-01';

    ZappySys Driver - Execute Custom Store Procedure

  5. Let's generate the SQL Server Query Code to make the API call using store procedure. Go to Code Generator Tab, select language as SQL Server and click on Generate button the generate the code.
    As we already created the linked server for this Data Source, in that you just need to copy the Select Query and need to use the linked server name which we have apply on the place of [MY_API_SERVICE] placeholder.

    SELECT * FROM OPENQUERY([MY_API_SERVICE], 'EXEC usp_get_orders @fromdate=''1996-07-30''')

    ZappySys Driver - Generate SQL Server Query

  6. Now go to SQL served and execute that query and it will make the API call using store procedure and provide you the response.
    ZappySys Driver - Generate SQL Server Query

Create Custom Virtual Table in ZappySys Driver

ZappySys API Drivers support flexible Query language so you can override Default Properties you configured on Data Source such as URL, Body. This way you don't have to create multiple Data Sources if you like to read data from multiple EndPoints. However not every application support supplying custom SQL to driver so you can only select Table from list returned from driver.

If you're dealing with Microsoft Access and need to import data from an SQL query, it's important to note that Access doesn't allow direct import of SQL queries. Instead, you can create custom objects (Virtual Tables) to handle the import process.

Many applications like MS Access, Informatica Designer wont give you option to specify custom SQL when you import Objects. In such case Virtual Table is very useful. You can create many Virtual Tables on the same Data Source (e.g. If you have 50 URLs with slight variations you can create virtual tables with just URL as Parameter setting.

  1. Go to Custom Objects Tab and Click on Add button and Select Add Table:
    ZappySys Driver - Add Table

  2. Enter the desired Table name and click on OK:
    ZappySys Driver - Add Table Name

  3. And it will open the New Query Window Click on Cancel to close that window and go to Custom Objects Tab.

  4. Select the created table, Select Text Type AS SQL and write the your desired SQL Query and Save it and it will create the custom table in the ZappySys Driver:
    Here is an example SQL query for ZappySys Driver. You can insert Placeholders also. Read more about placeholders here

    SELECT
      "ShipCountry",
      "OrderID",
      "CustomerID",
      "EmployeeID",
      "OrderDate",
      "RequiredDate",
      "ShippedDate",
      "ShipVia",
      "Freight",
      "ShipName",
      "ShipAddress",
      "ShipCity",
      "ShipRegion",
      "ShipPostalCode"
    FROM "Orders"
    Where "ShipCountry"='USA'

    ZappySys Driver - Create Custom Table

  5. That's it now go to Preview Tab and Execute your custom virtual table query. In this example it will extract the orders for the USA Shipping Country only:

    SELECT * FROM "vt__usa_orders_only"

    ZappySys Driver - Execute Custom Virtual Table Query

  6. Let's generate the SQL Server Query Code to make the API call using store procedure. Go to Code Generator Tab, select language as SQL Server and click on Generate button the generate the code.
    As we already created the linked server for this Data Source, in that you just need to copy the Select Query and need to use the linked server name which we have apply on the place of [MY_API_SERVICE] placeholder.

    SELECT * FROM OPENQUERY([MY_API_SERVICE], 'EXEC [usp_get_orders] ''1996-01-01''')

    ZappySys Driver - Generate SQL Server Query

  7. Now go to SQL served and execute that query and it will make the API call using store procedure and provide you the response.
    ZappySys Driver - Generate SQL Server Query

Conclusion

In this article we discussed how to connect to Google Sheets in Python and integrate data without any coding. Click here to Download Google Sheets Connector for Python and try yourself see how easy it is. If you still have any question(s) then ask here or simply click on live chat icon below and ask our expert (see bottom-right corner of this page).

Download Google Sheets Connector for Python Documentation 

Actions supported by Google Sheets Connector

Google Sheets Connector support following actions for REST API integration. If some actions are not listed below then you can easily edit Connector file and enhance out of the box functionality.
 Read Sheet Data
Read google spreadsheet data from desired tab / cell location (i.e. start/end range)    [Read more...]
Parameter Description
Range
 Clear Sheet Values
Clears values from a spreadsheet. The caller must specify the spreadsheet ID and range. Only values are cleared -- all other properties of the cell (such as formatting, data validation, etc..) are kept.    [Read more...]
Parameter Description
Range
 Delete Sheet Rows / Columns
Deletes rows / columns based on startIndex / endIndex range (Index is zero based). For example to delete First 5 rows specify startIndex=0 and endIndex=4    [Read more...]
Parameter Description
Range Type Specifies what would you like to delete (i.e. Rows or Columns)
Option Value
ROWS ROWS
COLUMNS COLUMNS
Range Start Index (starts from 0) Range Start Index (Zero based) for operation. For Column Operation translate Alpha value to zero based index. Example: Column D = Index 3. Column AA=26
Range End Index (starts from 0) Range End Index (Zero based) for operation. For Column Operation translate Alpha value to zero based index. Example: Column D = Index 3. Column AA=26
TabId Numeric ID of SpreadSheet Tab for which you like to delete rows/columns. For first tab its 0. You can find this ID from Sheet URL in browser. Get Number after edit#gid= (thats your Tab ID)
 Delete SpreadSheet Tab
Deletes specified tab from spreadsheet    [Read more...]
Parameter Description
TabId Numeric ID of SpreadSheet Tab for which you like to delete rows/columns. For first tab its 0. You can find this ID from Sheet URL in browser. Get Number after edit#gid= (thats your Tab ID)
 Create SpreadSheet Tab
Creates new tab for specified spreadsheet.    [Read more...]
Parameter Description
NewTabName Name for new Tab you like to add
InitialRowCount Initial row count for new sheet
InitialColumnCount Initial column count for new sheet
TabColorRedValue Tab Color - Red Value for RGB
TabColorGreenValue Tab Color - Green Value for RGB
TabColorBlueValue Tab Color - Blue Value for RGB
 Execute Command(s)
Perform various operations available in online editor such as copy, paste, format, merge. Add multiple JSON command by adding comma after first command (e.g. requests : [ {..cmd1..} , {..cmd2..}, {..cmd3..} ] ) Refer to example requests on help link.    [Read more...]
Parameter Description
Request Body
TabId Numeric ID of SpreadSheet Tab for which you like to delete rows/columns. For first tab its 0. You can find this ID from Sheet URL in browser. Get Number after edit#gid= (thats your Tab ID)
 Update Sheet Data (Overwrite Cells)
Update data to spreadsheet on desired tab / cell location (i.e. start/end range)    [Read more...]
Parameter Description
Range for Table Boundary (Including Header) Enter Range to detect Table column names and datatypes. Example: enter A1:C if you have table of 3 columns starting from Cell A1
Range for Data Cells Cell Range which needs to be update. Example: Enter A2 if you like to start update from cell A2
 Insert Sheet Data (Append at the end)
Append data to spreadsheet on desired tab. Data is appended after last non-empty row/cell location. You can supply cell offset to start scan to find non-empty cell.    [Read more...]
Parameter Description
Start Range This is the range in which next row location is detected based on first empty cell and row (Examples: A1, A1:GR, A1:GR200). This range is also used to detect metadata. Values are appended after the last row of the table.
 Get Sheet Properties / Tab information
Read read sheet properties (e.g. list of tabs on sheet and its properties)    [Read more...]
Parameter Description
SpreadSheetId
Option Value
Enter SpreadSheet Id
Example SpreadSheet Id 1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms
 Generic Request
This is generic endpoint. Use this endpoint when some actions are not implemented by connector. Just enter partial URL (Required), Body, Method, Header etc. Most parameters are optional except URL.    [Read more...]
Parameter Description
Url API URL goes here. You can enter full URL or Partial URL relative to Base URL. If it is full URL then domain name must be part of ServiceURL or part of TrustedDomains
Body Request Body content goes here
IsMultiPart Check this option if you want to upload file(s) (i.e. POST RAW file data) or send data using Multi-Part encoding method (i.e. Content-Type: multipart/form-data). Multi-Part request allows you to mix key/value and upload files in same request. On the other hand raw upload allows only single file upload (without any key/value) ==== Raw Upload (Content-Type: application/octet-stream) ===== To upload single file in raw mode check this option and specify full file path starting with @ sign in the Body (e.g. @c:\data\myfile.zip ) ==== Form-Data / Multipart Upload (Content-Type: multipart/form-data) ===== To treat your Request data as multi part fields you must specify key/value pairs separated by new lines into RequestData field (i.e. Body). Each key value pair is entered on new-line and key/value are separated using equal sign (=). Preceding and trailing spaces are ignored also blank lines are ignored. If field value has some any special character(s) then use escape sequence (e.g. For NewLine: \r\n, For Tab: \t, For at (@): \@). When value of any field starts with at sign (@) its automatically treated as File you want to upload. By default file content type is determined based on extension however you can supply content type manually for any field using this way [ YourFileFieldName.Content-Type=some-content-type ]. By default File Upload Field always includes Content-Type in the request (non file fields do not have content-type by default unless you supply manually). For some reason if you dont want to use Content-Type header in your request then supply blank Content-Type to exclude this header altogather [e.g. SomeFieldName.Content-Type= ]. In below example we have supplied Content-Type for file2 and SomeField1, all other fields are using default content-type. See below Example of uploading multiple files along with additional fields. If some API requires you to pass Content-Type: multipart/form-data rather than multipart/form-data then manually set Request Header => Content-Type: multipart/mixed (it must starts with multipart/ else will be ignored). file1=@c:\data\Myfile1.txt file2=@c:\data\Myfile2.json file2.Content-Type=application/json SomeField1=aaaaaaa SomeField1.Content-Type=text/plain SomeField2=12345 SomeFieldWithNewLineAndTab=This is line1\r\nThis is line2\r\nThis is \ttab \ttab \ttab SomeFieldStartingWithAtSign=\@MyTwitterHandle
Filter Enter filter to extract array from response. Example: $.rows[*] --OR-- $.customers[*].orders[*]. Check your response document and find out hierarchy you like to extract
Headers Headers for Request. To enter multiple headers use double pipe or new line after each {header-name}:{value} pair

Google Sheets Connector Examples for Python Connection

This page offers a collection of SQL examples designed for seamless integration with the ZappySys API ODBC Driver under ODBC Data Source (36/64) or ZappySys Data Gateway, enhancing your ability to connect and interact with Prebuilt Connectors effectively.

Query from default Spreadsheet    [Read more...]

Gets data from Tab name Sheet1 from SpreadSheet Id defined in the connection

SELECT * FROM [Sheet1]

Query from User defined Spreadsheet    [Read more...]

Gets data from Tab name 'Class Data' from user defined SpreadSheet Id

SELECT * FROM [Class Data] WITH(SpreadSheetId='1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms')

Query from custom cell range    [Read more...]

In this example we query Tab name 'Class Data' and we are reading Range 'A4:GR'.

SELECT * FROM [Class Data]
WITH(
	  Range='A4:GR'  --cell range you like to query
	, ArrayTransEnableCustomColumns='False' --do not treat first row in range as Column Names
	, SpreadSheetId='1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms'  --enter sheet id you like to query. Comment this if you like to use default ID defined in the connection
)

Query from custom cell range    [Read more...]

In this example we query Tab name 'Class Data' and we are reading Range 'A4:GR'.

UPDATE [Sheet1]
SET Col1='data-1', Col2=100, Col3='2020-01-31' --column names are ignored. Values are sent in the same order you supply and writtern to start cell specified by WriteRange
WITH(
	, WriteRange='G9' --start writing from here
	, SpreadSheetId='1az2H8ZYk7BvjddVTqPR-LfDjX9IRpIpjCDpFPe9EzkU' --comment this to use default Sheet Id from connection setting
)

Update Multiple Rows in Sheet from CSV file    [Read more...]

In this example we query CSV file as Source (Using ZapyySys CSV ODBC Driver) and updating Google Sheet in BULK.

UPDATE [Sheet1]
SOURCE(
 'ODBC',  --driver type ODBC | MSSQL | OLEDB
 'Driver={ZappySys CSV Driver};', --connection string for driver
 'SELECT * FROM $ WITH (SRC=''c:\data.csv'') ' --sql query for source data
)
WITH(
  WriteRange='G9', SpreadSheetId='1az2H8ZYk7BvjddVTqPR-LfDjX9IRpIpjCDpFPe9EzkU' --comment this to use default Sheet Id from connection setting 
)

Update Values Vertically (Column Mode)    [Read more...]

In this example we will write value as columns rather than row.

UPDATE [Sheet1]
SET Col1='Jan',Col2='Feb',Col3='Mar'
WITH(
  WriteRange='G9', 
  SpreadSheetId='1az2H8ZYk7BvjddVTqPR-LfDjX9IRpIpjCDpFPe9EzkU', --comment this to use default Sheet Id from connection setting
  MajorDimension='COLUMNS' --write values vertical rather horizontal
)

Insert Data in Sheet1    [Read more...]

Insert row to tab name Sheet1 in SheetId defined in connection

INSERT INTO "Sheet1"("MyStringCol", "MyIntegerCol", "MyDateCol", "MyDecimalCol") VALUES('AAA',100,'2020-01-01',150.33)

Insert Multiple Rows in Sheet1 from CSV file    [Read more...]

In this example we query CSV file as Source (Using ZapyySys CSV ODBC Driver) and updating Google Sheet in BULK.

INSERT INTO [Sheet1]
SOURCE(
 'ODBC', --driver type ODBC | MSSQL | OLEDB
 'Driver={ZappySys CSV Driver};', --connection string for driver
 'SELECT * FROM $ WITH (SRC=''c:\temp\dump.txt'') ' --sql query for source data
)
WITH(
  Range='G9', SpreadSheetId='1az2H8ZYk7BvjddVTqPR-LfDjX9IRpIpjCDpFPe9EzkU' --comment this to use default Sheet Id from connection setting 
)

Write Values Vertically (Column Mode)    [Read more...]

In this example we will write value as columns rather than row.

INSERT INTO [Sheet1](Col1,Col2,Col3) 
VALUES('Jan','Feb','Mar')
WITH(
  Range='G9', --starting cell to write data
  SpreadSheetId='1az2H8ZYk7BvjddVTqPR-LfDjX9IRpIpjCDpFPe9EzkU', --comment this to use default Sheet Id from connection setting
  MajorDimension='COLUMNS' --write values vertical rather horizontal
)

Execute Action (i.e. Delete Rows / Columns)    [Read more...]

This example shows how to execute various commands for sheet (i.e. copy, paste, formatting, delete, merge etc). In this example we are executing delete comamnds (i.e. deleteDimension commands). Notice we called same command twice becuase we want to delete two ranges (index 10-20 and 50-60). You can execute any valid command available by Google Sheets API. Here are some good examples of formatting commands https://developers.google.com/sheets/api/samples/formatting

SELECT * FROM batch_update_request
WITH(
	  Body='{
  "requests": [
    {
      "deleteDimension": {
        "range": {
          "sheetId": 0,
          "dimension": "ROWS",
          "startIndex": 10,
          "endIndex": 20
        }
      }
    } ,
    
   {
      "deleteDimension": {
        "range": {
          "sheetId": 0,
          "dimension": "ROWS",
          "startIndex": 50,
          "endIndex": 60
        }
      }
    }
    
  ]
}'
	, TabId='0' -- tab internal id (use UI to get this). 0 means first tab. Or check URL in browser and see at the end of URL #gid=xxxxxxx where xxxxxx is your tab id
	, SpreadSheetId='1az2H8ZYk7BvjddVTqPR-LfDjX9IRpIpjCDpFPe9EzkU' --comment this to use default Sheet Id from connection setting
)

Other App Integration scenarios for Google Sheets

Other Connectors for Python


Download Google Sheets Connector for Python Documentation 

  • How to connect Google Sheets in Python?

  • How to get Google Sheets data in Python?

  • How to read Google Sheets data in Python?

  • How to load Google Sheets data in Python?

  • How to import Google Sheets data in Python?

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