Zoho CRM Connector for MS Access
In this article you will learn how to integrate Using Zoho CRM Connector you will be able to connect, read, and write data from within MS Access. Follow the steps below to see how we would accomplish that. The driver mentioned above is part of ODBC PowerPack which is a collection of high-performance Drivers for various API data source (i.e. REST API, JSON, XML, CSV, Amazon S3 and many more). Using familiar SQL query language you can make live connections and read/write data from API sources or JSON / XML / CSV Files inside SQL Server (T-SQL) or your favorite Reporting (i.e. Power BI, Tableau, Qlik, SSRS, MicroStrategy, Excel, MS Access), ETL Tools (i.e. Informatica, Talend, Pentaho, SSIS). You can also call our drivers from programming languages such as JAVA, C#, Python, PowerShell etc. If you are new to ODBC and ZappySys ODBC PowerPack then check the following links to get started. |
Connect to Zoho CRM in other apps
|
Create ODBC Data Source (DSN) based on ZappySys API Driver
Step-by-step instructions
To get data from Zoho CRM using MS Access we first need to create a DSN (Data Source) which will access data from Zoho CRM. We will later be able to read data using MS Access. Perform these steps:
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Install ZappySys ODBC PowerPack.
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Open ODBC Data Sources (x64):
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Create a User Data Source (User DSN) based on ZappySys API Driver
ZappySys API DriverYou 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. -
When the Configuration window appears give your data source a name if you haven't done that already, then select "Zoho CRM" from the list of Popular Connectors. If "Zoho CRM" 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:
ZohoCrmDSNZoho CRM -
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.
OAuth Connection for Zoho CRM API [API Help..]
Steps to get Zoho CRM Credentials : OAuth [OAuth]
To register custom App, perform the following steps (Detailed steps found in the help link at the end)- Go to Zoho API Console
- Click Add Client link
- Select Server-based Applications option
- Enter desired client name (Display purpose only)
- Enter some URL for Company homepage
- For Authorized Redirect URI enter https://zappysys.com/oauth (Or enter your own but we recommend using ZappySys one if possible). This URL must match on Zoho Connector UI.
- Click CREATE.
- Copy Client ID and Secret and paste on Zoho Connector UI.
Fill in all required parameters and set optional parameters if needed:
ZohoCrmDSNZoho CRMOAuth [OAuth]https://www.zohoapis.com/crm/[$Version$]Required Parameters Optional Parameters ClientId Fill in the parameter... ClientSecret Fill in the parameter... Permissions Fill in the parameter... AccountUrl Fill in the parameter... RedirectUrl Fill in the parameter... API Version Fill in the parameter... RetryMode Fill in the parameter... RetryStatusCodeList Fill in the parameter... RetryCountMax Fill in the parameter... RetryMultiplyWaitTime Fill in the parameter... -
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:
-
Click OK to finish creating the data source.
Video instructions
Read data in Microsoft Access from the ODBC data source
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First of all, open MS Access and create a new MS Access database.
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In the next step, start loading ODBC data source we created:
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Then click next until data source selection window appears. Select the data source we created in one of the previous steps and hit OK:
ZohoCrmDSN -
Continue with tables and views selection. You can extract multiple tables or views:
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Finally, wait while data is being loaded and once done you should see a similar view:
Using Linked Table for Live Data (Slow)
Linked tables in Microsoft Access are crucial for online databases because they enable real-time access to centralized data, support scalability, facilitate collaboration, enhance data security, ease maintenance tasks, and allow integration with external systems. They provide a flexible and efficient way to work with data stored in online databases, promoting cross-platform compatibility and reducing the need for data duplication.
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Real-Time Data Access:
Access can interact directly with live data in online databases, ensuring that users always work with the most up-to-date information. -
Centralized Data Management:
Online databases serve as a centralized repository, enabling efficient management of data from various locations. -
Ease of Maintenance:
Updates or modifications to the online database structure are automatically reflected in Access, streamlining maintenance tasks. -
Adaptability to Changing Requirements:
Linked tables provide flexibility, allowing easy adaptation to changing data storage needs or migration to different online database systems.
Let's create the linked table.
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Launch Microsoft Access and open the database where you want to create the linked table.
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Go to the "External Data" tab on the Ribbon. >> "New Data Source" >> "From Other Sources" >> "ODBC Database"
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Select the option "Link to Data Source by creating a linked table:
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Continue by clicking 'Next' until the Data Source Selection window appears. Navigate to the Machine Data Source tab and select the desired data source established in one of the earlier steps. Click 'OK' to confirm your selection.
ZohoCrmDSN -
Proceed to the selection of Tables and Views. You have the option to extract multiple tables or views:
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When prompted to select Unique Key column DO NOT select any column(s) and just click OK:
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Finally, Simply double-click the newly created Linked Table to load the data:
Guide to Effectively Addressing Known Issues
Discover effective strategies to address known issues efficiently in this guide. Get solutions and practical tips to streamline troubleshooting and enhance system performance, ensuring a smoother user experience.
Fewer Rows Imported
The reason for this is that MS Access has a default query timeout of 60 seconds, which means it stops fetching data if the query takes longer than that. As a result, only a limited number of rows are fetched within this time frame.
To address this, we can adjust the Query Timeout by following the steps below.
The path may vary depending on the MS Access bitness, such as 32-bit versus 64-bit.
\HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Jet\4.0\Engines\ODBC
\HKEY_LOCAL_MACHINE\SOFTWARE\WOW6432Node\Microsoft\Jet\4.0\Engines\ODBC
\HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Office\ClickToRun\REGISTRY\MACHINE\Software\Microsoft\Office\16.0\Access Connectivity Engine\Engines\ODBC
We can identify this issue by examining the Fiddler Log, as MS Access doesn't display any error regarding partial import, which is quite unusual
Please refer to this link : How to use Fiddler to analyze HTTP web requests
#Deleted word appears for column value in MS Access for Linked Table mode
If you used Linked Table mode to get external data and it shows #deleted word rather than actual value for column after you open then most likely its following issue.
Make sure to re-create Linked Table and DO NOT select any key column when prompted (Just click OK)
How to Fix
Table Selection UI Opening Delays
The Table selection UI takes a significant amount of time to open after clicking the 'New Data Source' -> 'Other Data Sources' -> 'ODBC'
The reason for this issue is that MS Access sends a dummy query, leading to several unnecessary pagination cycles before an error is thrown. To mitigate this, we can prevent wasted cycles by configuring the 'Throw error if no match' setting on the Filter Options Tab.
Enhancing Performance through Metadata Addition (Reduces Query Time)
We can optimize query performance by creating Virtual Tables (i.e. views with custom SQL) on Datasource and incorporating META=static columns. Learn how to capture static metadata in this guide.
Performance Options - Generate Metadata Manually
Execute the query initially, save the metadata by selecting 'Save to Meta' (choose Compact Format), and then click 'Save to Clipboard.' Utilize the resulting list by pasting it into the META attribute as follows: 'META=paste here.'
SELECT * FROM products
WITH(
META='id:String(20); title:String(100); description:String(500);'
)
Optimize Workflow with Automated Import
Employ Automated Import when Linked Tables are not feasible, and we need to depend on Imported Tables with static data.
While using Linked Tables sometime it encounter errors, and we are left with no alternative but to utilize Imported Tables, Automatic Refresh becomes crucial in such scenarios.
Here's a guide on automating refreshes. We can set up automatic refresh on different events, such as when the database opens, a form is opened, or a button is clicked.
To initiate the import process, follow these steps:
- Perform the data import using the standard manual steps.
- In the final step, we'll encounter a checkbox labeled 'Save Import Steps.' Ensure to check this option.
- After saving the steps, we can locate their name in the Save Imports UI. Identify the name associated with the saved steps.
- "Now, we can execute the code as shown below:"
Private Sub cmdYes_Click() Label0.Visible = True DoCmd.RunSavedImportExport "Import-DATA.products" Label0.Visible = False End Sub
Advanced topics
Create Custom Stored 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 Stored Procedure in ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here
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Go to Custom Objects Tab and Click on Add button and Select Add Procedure:
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Enter the desired Procedure name and click on OK:
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Select the created Stored Procedure and write the your desired stored procedure and Save it and it will create the custom stored 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>';
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That's it now go to Preview Tab and Execute your Stored 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';
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Let's generate the SQL Server Query Code to make the API call using stored 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''')
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Now go to SQL served and execute that query and it will make the API call using stored procedure and provide you the response.
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.
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Go to Custom Objects Tab and Click on Add button and Select Add Table:
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Enter the desired Table name and click on OK:
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And it will open the New Query Window Click on Cancel to close that window and go to Custom Objects Tab.
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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'
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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"
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Let's generate the SQL Server Query Code to make the API call using stored 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''')
-
Now go to SQL served and execute that query and it will make the API call using stored procedure and provide you the response.
Actions supported by Zoho CRM Connector
Zoho CRM 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.Parameter | Description |
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sql_query |
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Parameter | Description |
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module |
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module |
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module |
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Tag Id |
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Parameter | Description | ||||||||||||||||||||||||||||||||||||||||
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module |
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Record Id(s) (comma seperated list) |
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Tag Id |
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Overwrite |
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Parameter | Description | ||||||||||||||||||||||||||||||||||||||||
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module |
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Parameter | Description |
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module |
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Parameter | Description | ||||||||
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Module |
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Last Modified Date - Read data modified after it |
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Custom View ID |
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Fields (Only for V2 API) |
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sort_by |
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sort_order |
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territory_id |
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include_child |
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converted |
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Parameter | Description | ||||||||
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Module |
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Last Modified Date - Read data modified after it |
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Custom View ID |
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Fields (Only for V2 API) |
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sort_by |
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sort_order |
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territory_id |
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include_child |
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converted |
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Parameter | Description | ||||||||||||||||
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Search By Criteria Expression |
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Search By Email |
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Search By Phone |
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Search By any Word |
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Search By Id |
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Include only converted records |
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Include approved records |
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Parameter | Description | ||||||
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Record ID(s) - Use Comma for multiple (e.g. 111,222) |
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Fire Wordflow Trigger |
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Parameter | Description |
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Triggers |
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Parameter | Description |
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Triggers |
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Parameter | Description | ||||||||
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Triggers |
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Duplicate_Check_Fields |
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Parameter | Description |
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Url |
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Body |
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IsMultiPart |
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Filter |
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Headers |
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Zoho CRM Connector Examples for MS Access 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.
Read all rows [Read more...]
SELECT * from Accounts
Update Owner of the record(s) - Account, Contacts, Deals, Leads (Update Lookup field) [Read more...]
This examples shows how to update a lookup type fields (e.g. Account, Contact, Owner) for any module. Lookup fields are jsonobject type of fields which has id, name and sometimes email (only for Owner). This example shows how to update using unique field (E.g. email, id or name). Below example shows how to set Owner of the Account (e.g.) 1558554000137221573. We will set owner to bob-the-salesman@abc.com (or you can set by id)
UPDATE Accounts
SET Owner='{email: "bob-the-salesman@abc.com"}'
--SET Owner='{id: "1558554000186378001"}' --you can also use Id
Where Id='1558554000137221573'
Update Account or Contact (Lookup field) by Name or Id for Deals [Read more...]
This examples shows how to update Account and Contact field on Deals module. We used name for account and id for contact just to show how unique field can be used.
UPDATE Deals
SET Account_Name='{"name": "Company ABCD"}', --by name or id
Contact_Name='{"id": "1558554000186378001"}' --by id
Where Id='1558554000137221573'
Create a Deal with Lookup fields (e.g. set Account, Contact, Owner etc by Id or Name) [Read more...]
This examples shows how to create a new record with Lookup field(s) e.g account, contact or owner.
INSERT INTO Deals(
Deal_name,
Amount,
Lead_Source,
Account_Name,
Contact_Name,
Owner
)
VALUES
(
'My Test Deal Creatyed on <<FUN_NOW>>', --deal name
1000.50, --amount
'Cold Call', --lead source
'{name:"ZappySys"}', --account name or use id '{id:"1558554000030180013"}'
'{id:"1558554000089352998"}' --contact id
'{id:"1558554000089352912"}' --owner id or use email {email: "bob-the-salesman@abc.com"}
)
Read single row by ID [Read more...]
SELECT * from Accounts Where Id=1558554000105110008
Read reacord(s) modified after certain date [Read more...]
SELECT * from Accounts WITH(ModifiedSince = '2020-01-07T00:00:00')
Read using COQL (Zoho Serverside Query Language) [Read more...]
You can write server side query so you dont have to read full data on client side. For COQL LIMIT clause must be 200 or less. For more information check this URL https://zappysys.com/links?url=https://www.zoho.com/crm/developer/docs/api/COQL-Overview.html
SELECT * from get_module_data_coql WITH(sql_query= 'select Last_Name, First_Name, Company from Leads where Company like ''Test'' limit 200')
Update table for specific record [Read more...]
Update Leads SET Designation='VP Sales', Company='Test' Where id=1558554000012181009
Update table for specific record (older version) [Read more...]
Update Leads SET id='1558554000012181009' /* id must be supplied */, Designation='VP Sales', Company='Test'
Get accounts modified after certain date [Read more...]
SELECT * from Accounts Where Account_Name LIKE 'Test%' WITH(ModifiedSince = '2020-01-07T00:00:00')
Search accounts by specific field (server side filter) [Read more...]
You can use criteria listed here https://www.zoho.com/crm/developer/docs/api/v2/search-records.html
SELECT * FROM search_Accounts WITH(criteria='Account_Name:starts_with:test')
Create a new record [Read more...]
INSERT INTO Accounts(Account_Name, Phone) VALUES('Company ABC','111-567-8888')
Create a new account record (with show output on / off) [Read more...]
INSERT INTO Accounts(Account_Name, Phone) VALUES('Company ABC','111-567-8888') WITH(Output=1)
Delete single record by Id [Read more...]
Delete exising record by Id (single row). You can supply upto 100 comma seperated Ids
DELETE FROM Accounts WHERE id=11111111111
Delete multiple records by Ids [Read more...]
This example shows how to delete Account Records by multiple Ids. You can supply upto 100 comma seperated Ids
DELETE FROM Accounts WITH(Id='11111,22222,33333')
Upsert account record (Update or Insert - based on unique field(s) for module) [Read more...]
UPSERT INTO Accounts(Account_Name, Phone) VALUES('Company ABC','111-567-8888') WITH(Output=1)
Upsert lead record (Update or Insert - based on unique field(s) for module) [Read more...]
UPSERT INTO Leads(Last_Name, Email) VALUES('Patel','zpatel@abc.com') WITH(Output=1)
Create new account(s) in BULK (read / write from external source) [Read more...]
This examples shows how to use SOURCE clause to read data from MS SQL Server (or other external system) and send data to Zoho using Bulk API
INSERT INTO Accounts
SOURCE(
'MSSQL' --ODBC or OLEDB
,'Data Source=localhost;Initial Catalog=Test;Integrated Security=true'
,'select ''Test Account-A'' as Account_Name,''111-111-1111'' as Phone
UNION
select ''Test Account-B'' as Account_Name,''222-222-2222'' as Phone
'
)
UPSERT (Update or insert) account(s) in BULK (read / write from external source) [Read more...]
This examples shows how to use SOURCE clause to read data from MS SQL Server (or other external system) and send data to Zoho using Bulk API. Record uniqueness is checked based on Unique field setup for module (i.e. email, account name, phone etc)
UPSERT INTO Accounts
SOURCE(
'MSSQL' --ODBC or OLEDB
,'Data Source=localhost;Initial Catalog=Test;Integrated Security=true'
,'select ''Test Account-A'' as Account_Name,''111-111-1111'' as Phone
UNION
select ''Test Account-B'' as Account_Name,''222-222-2222'' as Phone
'
)
Update Tag(s) for exising records (add or overwrite) [Read more...]
SELECT * FROM post_tags
WITH(
module='Accounts'
, ids='1558554000105151002'
, tag_names='mytag1,mytag2'
, over_write='true'
)
Conclusion
In this article we discussed how to connect to Zoho CRM in MS Access and integrate data without any coding. Click here to Download Zoho CRM Connector for MS Access 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 Zoho CRM Connector for MS Access
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How to load Zoho CRM data in MS Access?
How to import Zoho CRM data in MS Access?
How to pull Zoho CRM data in MS Access?
How to push data to Zoho CRM in MS Access?
How to write data to Zoho CRM in MS Access?
How to POST data to Zoho CRM in MS Access?
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Zoho CRM MS Access Integration
Integration Zoho CRM in MS Access
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Consume real-time Zoho CRM API data in MS Access
Zoho CRM ODBC Driver | ODBC Driver for Zoho CRM | ODBC Zoho CRM Driver | SSIS Zoho CRM Source | SSIS Zoho CRM Destination
Connect Zoho CRM in MS Access
Load Zoho CRM in MS Access
Load Zoho CRM data in MS Access
Read Zoho CRM data in MS Access
Zoho CRM API Call in MS Access