Zoom Connector for SQL Server

In this article you will learn how to integrate Zoom data in SQL Server without coding in just a few clicks (live / bi-directional connection to Zoom). Zoom Connector can be used to integrate Zoom REST API in your App / BI Tools. You can read/write data about Meetings, Invite, Users, Accounts and more..

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

Download Documentation

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 Zoom in other apps

Connect to Zoom in SSIS

Connect to Zoom in Power BI

Connect to Zoom in SSRS

Connect to Zoom in Informatica

Connect to Zoom in MS Access

Connect to Zoom in MS Excel

Connect to Zoom in SSAS

Connect to Zoom in C#

Connect to Zoom in Python

Connect to Zoom in JAVA

Connect to Zoom in Tableau

Connect to Zoom in SAP Crystal Reports

Connect to Zoom in Azure Data Factory (Pipeline)

Connect to Zoom in Azure Data Factory (SSIS)

Connect to Zoom in Talend Studio

Connect to Zoom in UiPath

Connect to Zoom in PowerShell

Connect to Zoom in ODBC

Video Tutorial - Integrate Zoom data in SQL Server

This video covers following and more so watch carefully. After watching this video follow the steps described in this article.

How to download / install required driver for Zoom integration in SQL Server
How to configure connection for Zoom
Features about API Driver (Authentication / Query Language / Examples / Driver UI)
Using Zoom Connection in SQL Server

Watch this video on YouTube

Create Data Source in ZappySys Data Gateway based on API Driver

Download and install ZappySys ODBC PowerPack.
Search for gateway in start menu and Open ZappySys Data Gateway:
Go to Users Tab to add our first Gateway user. Click Add; we will give it a name tdsuser and enter password you like to give. Check Admin option and click OK to save. We will use these details later when we create linked server:
Now we are ready to add a data source. Click Add, give data source a name (Copy this name somewhere, we will need it later) and then select Native - ZappySys API Driver. Finally, click OK. And it will create the Data Set for it and open the ZS driver UI.

ZoomDSN
When the Configuration window appears give your data source a name if you haven't done that already, then select "Zoom" from the list of Popular Connectors. If "Zoom" 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:

ZoomDSN

Zoom

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 Authentication [OAuth]

OAuth App must be created under Admin Console > Channel > API > Settings. [API Help..]

Steps to get Zoom Credentials : OAuth Authentication [OAuth]

Perform the following steps to get the Zoom OAuth credentials (i.e. Client ID and Client Secret)

Go to Zoom Marketplace Portal and sign in there.
Once you successfully login then select "Build App" option from Develop dropdown from top left on the page.
Click on Create button of OAuth panel section of page.
Enter the name for your application and choose app type (Recommneded "Account-Level App") option for your API
Then proceed with clicking Create button.
In Redirect URL for OAuth enter this https://zappysys.com/oauth as Redirect URI and add it to allow lists.
Copy Client ID and Client Secret here and paste it into Connection Manager Required Paramters section in respective place holders
Add appropiate scopes from the Scopes menu option to the right side of page for your API as below :
Click Generate Token button on Connection Manager UI to generate tokens.
That's it!

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

ZoomDSN

Zoom

OAuth Authentication [OAuth]

https://api.zoom.us/v2

Required Parameters
ClientId	Fill in the parameter...
ClientSecret	Fill in the parameter...
RedirectUrl	Fill in the parameter...
TokenUrl	Fill in the parameter...
AuthorizationUrl	Fill in the parameter...
Optional Parameters
Scope	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.

Read data in SQL Server from the ZappySys Data Gateway

To read the data in SQL Server the first thing you have to do is create a Linked Server. Go to SQL Server Management Studio and configure it in a similar way:
Then click on Security option and configure username we created in ZappySys Data Gateway in one of the previous steps:
Optional: Under the Server Options, Enable RPC and RPC Out and Disable Promotion of Distributed Transactions(MSDTC).

You need to enable RPC Out if you plan to use EXEC(...) AT [MY_LINKED_SERVER_NAME] rather than OPENQUERY.
If don't enabled it, you will encounter the Server 'MY_LINKED_SERVER_NAME' is not configured for RPC error.

Query Example:
```
EXEC('Select * from Products') AT [MY_LINKED_SERVER_NAME]
```
If you plan to use 'INSERT INTO...EXEC(....) AT [MY_LINKED_SERVER_NAME]' in that case you need to Disable Promotion of Distributed Transactions(MSDTC).
If don't disabled it, you will encounter the The operation could not be performed because OLE DB provider "SQLNCLI11" for linked server "MY_LINKED_SERVER_NAME" was unable to begin a distributed transaction. error.

Query Example:
```
Insert Into dbo.Products
 EXEC('Select * from Products') AT [MY_LINKED_SERVER_NAME]
```
Finally, open a new query and execute a query we saved in one of the previous steps:
```
SELECT * FROM OPENQUERY([MY_LINKED_SERVER_NAME], 'SELECT * FROM Products');
```

Create Linked Server using Code

In previous section you saw how to create a Linked Server from UI. You can do similar action by code too (see below). Run below script after changing necessary parameters. Assuming your Data Source name on ZappySys Data Gateway UI is 'ZoomDSN'


    USE [master]
    GO
    --///////////////////////////////////////////////////////////////////////////////////////
    --Run below code in SSMS to create Linked Server and use ZappySys Drivers in SQL Server
    --///////////////////////////////////////////////////////////////////////////////////////

    //Replace YOUR_GATEWAY_USER, YOUR_GATEWAY_PASSWORD
    //Replace localhost with IP/Machine name if ZappySys Gateway Running on different machine other than SQL Server
    //Replace Port 5000 if you configured gateway on a different port


    --1. Configure your gateway service as per this article https://zappysys.com/links?id=10036

    --2. Make sure you have SQL Server Installed. You can download FREE SQL Server Express Edition from here if you dont want to buy Paid version https://www.microsoft.com/en-us/sql-server/sql-server-editions-express

    --Uncomment below if you like to drop linked server if it already exists
    --EXEC master.dbo.sp_dropserver @server=N'LS_ZoomDSN', @droplogins='droplogins'

    --3. Create new linked server

    EXEC master.dbo.sp_addlinkedserver
      @server = N'LS_ZoomDSN'  --Linked server name (this will be used in OPENQUERY sql
    , @srvproduct=N''
    ---- For MSSQL 2012,2014,2016 and 2019 use below (SQL Server Native Client 11.0)---
    , @provider=N'SQLNCLI11'
    ---- For MSSQL 2022 or higher use below (Microsoft OLE DB Driver for SQL Server)---
    --, @provider=N'MSOLEDBSQL'
    , @datasrc=N'localhost,5000' --//Machine / Port where Gateway service is running
    , @provstr=N'Network Library=DBMSSOCN;'
    , @catalog=N'ZoomDSN' --Data source name you gave on Gateway service settings

    --4. Attach gateway login with linked server

    EXEC master.dbo.sp_addlinkedsrvlogin
    @rmtsrvname=N'LS_ZoomDSN'  --linked server name
    , @useself=N'False'
    , @locallogin=NULL
    , @rmtuser=N'YOUR_GATEWAY_USER' --enter your Gateway user name
    , @rmtpassword='YOUR_GATEWAY_PASSWORD'  --enter your Gateway user's password
    GO

    --5. Enable RPC OUT (This is Optional - Only needed if you plan to use EXEC(...) AT YourLinkedServerName rather than OPENQUERY
    EXEC sp_serveroption 'LS_ZoomDSN', 'rpc', true;
    EXEC sp_serveroption 'LS_ZoomDSN', 'rpc out', true;

    --Disable MSDTC - Below needed to support INSERT INTO from EXEC AT statement
    EXEC sp_serveroption 'LS_ZoomDSN', 'remote proc transaction promotion', false;

    --Increase query timeout if query is going to take longer than 10 mins (Default timeout is 600 seconds)
    --EXEC sp_serveroption 'LS_ZoomDSN', 'query timeout', 1200;
    GO

Firewall settings

So far we have assumed that Gateway is running on the same machine as SQL Server. However there will be a case when ZappySys ODBC PowerPack is installed on a different machine than SQL Server. In such case you may have to perform additional Firewall configurations. On most computers firewall settings wont allow outside traffic to ZappySys Data Gateway. In such case perform following steps to allow other machines to connect to Gateway.

Method-1 (Preferred)

If you are using newer version of ZappySys Data Gateway then adding firewall rule is just a single click.

Search for gateway in start menu and open ZappySys Data Gateway.
Go to Firewall Tab and click Add Firewall Rule button like below. This will create Firewall rule to all Inbound Traffic on Port 5000 (Unless you changed it).

Method-2 Here is another way to add / edit Inbound Traffic rule in windows firewall. Use below method if you choose to customize your rule (for advanced users).

Search for Windows Firewall Advanced Security in start menu.
Under Inbound Rules > Right click and click [New Rule] >> Click Next
Select Port on Rule Type >> Click Next
Click on TCP and enter port number under specified local port as 5000 (use different one if you changed Default port) >> Click Next
Select Profile (i.e. Private, Public) >> Click Next
Enter Rule name [i.e. ZappySys Data Gateway – Allow Inbound ] >> Click Next
Click OK to save the rule

SQL Server Firewall Allow Inbound Data Gateway

OPENQUERY vs EXEC (handling larger SQL text)

So far we have seen examples of using OPENQUERY. It allows us to send pass-through query at remote server. The biggest limitation of OPENQUERY is it doesn't allow you to use variables inside SQL so often we have to use unpleasant looking dynamic SQL (Lots of tick, tick …. and escape hell). Well there is good news. With SQL 2005 and later you can use EXEC(your_sql) AT your_linked_server syntax . Disadvantage of EXEC AT is you cannot do SELECT INTO like OPENQUERY. Also you cannot perform JOIN like below in EXEC AT


    SELECT a.* FROM OPENQUERY([ls_ZoomDSN],'select * from Customers') a
    JOIN OPENQUERY([ls_ZoomDSN],'select * from Orders') b ON a.CustomerId=b.CustomerId;

However you can always do INSERT INTO SomeTable EXEC(…) AT your_linked_server. So table must exists when you do that way. Here is how to use it. To use EXEC(..) AT {linked-server} you must turn on RPC OUT option. Notice how we used variable in SQL to make it dynamic. This is much cleaner than previous approach we saw.


    USE [master]
    GO
    --Replace YOUR_GATEWAY_USER, YOUR_GATEWAY_PASSWORD
    --Replace localhost with IP/Machine name if ZappySys Gateway Running on different machine other than SQL Server

    --Create new linked server
    EXEC master.dbo.sp_addlinkedserver
    @server = N'LS_ZoomDSN'  --Linked server name (this will be used in OPENQUERY sql)
    , @srvproduct=N''
    ---- For MSSQL 2012,2014,2016 and 2019 use below (SQL Server Native Client 11.0)---
    , @provider=N'SQLNCLI11'
    ---- For MSSQL 2022 or higher use below (Microsoft OLE DB Driver for SQL Server)---
    --, @provider=N'MSOLEDBSQL'
    , @datasrc=N'localhost,5000' --//Machine / Port where Gateway service is running
    , @provstr=N'Network Library=DBMSSOCN;'
    , @catalog=N'ZoomDSN' --Data source name you gave on Gateway service settings

    --Attach gateway login with linked server
    EXEC master.dbo.sp_addlinkedsrvlogin
    @rmtsrvname=N'LS_ZoomDSN'  --linked server name
    , @useself=N'False'
    , @locallogin=NULL
    , @rmtuser=N'YOUR_GATEWAY_USER' --enter your Gateway user name
    , @rmtpassword='YOUR_GATEWAY_PASSWORD'  --enter your Gateway user's password
    GO

    --5. Enable RPC OUT (This is Optional - Only needed if you plan to use EXEC(...) AT YourLinkedServerName rather than OPENQUERY
    EXEC sp_serveroption 'LS_ZoomDSN', 'rpc', true;
    EXEC sp_serveroption 'LS_ZoomDSN', 'rpc out', true;
    --Disable MSDTC - Below needed to support INSERT INTO from EXEC AT statement
    EXEC sp_serveroption 'LS_ZoomDSN', 'remote proc transaction promotion', false;
    --Increase query timeout if query is going to take longer than 10 mins (Default timeout is 600 seconds)
    --EXEC sp_serveroption 'LS_ZoomDSN', 'query timeout', 1200;
    GO

Here is the difference between OPENQUERY vs EXEC approaches:

Fetching Tables / Columns using metadata stored procs

ZappySys Data Gateway emulates certains system procs you might find in real SQL Server. You can call using below syntax using 4-Parts syntax

exec [linked-server-name].[gateway-datasource-name].[DATA].sp_tables

exec [linked-server-name].[gateway-datasource-name].[DATA].sp_columns_90 N'your-table-name'

Example:


    //List all tables
    exec [ls_ZoomDSN].[ZoomDSN].[DATA].sp_tables

    //List all columns and its type for specified table
    exec [ls_ZoomDSN].[ZoomDSN].[DATA].sp_columns_90 N'Account'

Known Issues

Let's explore some common problems that can occur when using OPENQUERY or Data Gateway connectivity.

SQL Native Client 11.0 not visible in the Providers dropdown (Linked Server Creation)

If you are following some screenshots / steps from our article it might say use SQL Native Client to create Linked Server to ZappySys Gateway but for some users they dont see that driver entry in the dropdown. This is due to the fact that Microsoft has deprecated SQL Native Client OLEDB Driver (SQLNCLI and SQLNCLI11) going forward after SQL 2022. So you need to use [Microsoft OLE DB Driver for SQL Server] instead (MSOLEDBSQL). Please follow all other instructions except the driver type selection, use new suggested driver instead if you dont see SQL Native Client.

Error: The data is invalid

There will be a time when, you may encounter unexpected errors like the ones listed below. These can include:

OLE DB provider "SQLNCLI11" for linked server "Zs_Csv" returned message "Deferred prepare could not be completed.".
OLE DB provider "SQLNCLI11" for linked server "Zs_Csv" returned message "Communication link failure".
Msg 13, Level 16, State 1, Line 0

Session Provider: The data is invalid.

Possible Cause:

There are few reasons for such error but below are two main reasons

If the query length exceeds 2000 characters, as shown below, you might encounter this error.
```
SELECT * FROM OPENQUERY(LS, '--some really long text more than 2000 chars--')
```
If a query contains multiple OPENQUERY statements for JOINs or UNIONs, as shown below, it might fail due to a MARS compatibility issue where the gateway doesn't support parallel queries on a single connection.
```
SELECT a.id, b.name from OPENQUERY(LS, 'select * from tbl1') a join OPENQUERY(LS, 'select * from tbl2') b on a.id=b.id
```

Possible Fix:

There are few ways to fix above error based on reason why you getting this error (i.e. Query Length issue OR JOIN/UNION in the same statement)

If your query has long SQL (more than 2000 chars ) then reduce SQL length using different techniques
- e.g. use SELECT * FROM MyTable rather than SELECT col1,col2… FROM MyTable
- Use Meta Option in WITH clause if you must use column name. (e.g. SELECT * FROM MyTable WITH(META=’c:\meta.txt’) this way you can define column in Meta file rather than SELECT query. Check this article
- Consider using EXECT (….) AT [Linked_Server_name] option rather than OPENQUERY so you can use very long SQL (See next section on EXEC..AT usecase)
- Consider using Virtual Table / Stored Proc to wrap long SQL so your call is very small (where usp_GetOrdersByYear is custom proc created on ZappySys Driver UI)
```
SELECT * FROM OPENQUERY(LS, 'EXEC usp_GetOrdersByYear 2021')
```
If your query uses JOIN / UNION with multiple OPENQUERY in same SQL then use multiple Linked servers (one for each OPENQUERY clause) as below.
```
select a.id, b.name from OPENQUERY(LS_1, 'select * from tbl1') a join OPENQUERY(LS_2, 'select * from tbl2') b on a.id=b.id
```

Error: Unable to begin a distributed transaction (When INSERT + EXEC used)

If you try to use the EXEC statement to insert data into a table, as shown below, you might encounter the following error unless the MSDTC option is turned off.

INSERT INTO MyTable EXEC('select * from tbl') AT MyLinkedServer

"Protocol error in TDS stream"
The operation could not be performed because OLE DB provider "SQLNCLI11" for linked server "ls_Json2" was unable to begin a distributed transaction.
--OR--
The operation could not be performed because OLE DB provider "MSOLEDBSQL" for linked server "ls_Json" was unable to begin a distributed transaction.

Solution:
Method-1: Go to linked server properties | Server Options | Enable Promotion of Distributed Transaction | Change to false (Default is true)
Now your try your INSERT with EXEC AT and it should work

Method-2: Run the below command if you dont want to use UI

EXEC master.dbo.sp_serveroption @server=N'My_Linked_Server', @optname=N'remote proc transaction promotion', @optvalue=N'false'

Error: Cannot use OPENQUERY with JOIN / UNION

When you perform a JOIN or UNION ALL on the same Linked Server, it may fail to process sometimes because the Data Gateway doesn't support parallel query requests on the same connection. A workaround for that would be to create multiple linked servers for the same data source. Refer to the section above for the same workaround.

Error: Truncation errors due to data length mismatch

Many times, you may encounter truncation errors if a table column's length is less than the actual column size from the query column. To solve this issue, use the new version of Data Gateway and check the 'Use nvarchar(max) for string options' option found on the General Tab.

Performance Tips

Now, let's look at a few performance tips in this section.

Use INSERT INTO rather than SELECT INTO to avoid extra META request

We discussed some Pros and Cons of OPENQUERY vs EXEC (…) AT in previous section. One obvious advantage of EXEC (….) AT is it reduces number of requests to driver (It sends pass through query). With EXEC you cannot load data dynamically like SELECT INTO tmp FROM OPENQUERY. Table must exist before hand if you use EXEC.


INSERT INTO tmp_API_Report_Load(col1,col2)
EXEC('select col1,col2 from some_api_table') AT [API-LINKED-SERVER]
--OR--
INSERT INTO tmp_API_Report_Load(col1,col2)
select col1,col2 from OPENQUERY([API-LINKED-SERVER], 'select col1,col2 from some_api_table')

The advantage of this method is that your query speed will increase because the system only calls the API once when you use EXEC AT. In contrast, with OPENROWSET, the query needs to be called twice: once to obtain metadata and once to retrieve the data.

Use Cached Metadata if possible

By default, most SQL queries sent to the Data Gateway need to invoke two phases: first, to get metadata, and second, to fetch data. However, you can bypass the metadata API call by supplying static metadata. Use the META property in the WITH clause, as explained in this article, to speed up your SQL queries.

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

Go to Custom Objects Tab and Click on Add button and Select Add Procedure:
Enter the desired Procedure name and click on OK:
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>';
```
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';
```
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''')
```
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.

Go to Custom Objects Tab and Click on Add button and Select Add Table:
Enter the desired Table name and click on OK:
And it will open the New Query Window Click on Cancel to close that window and go to Custom Objects Tab.
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'
```
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"
```
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 Zoom Connector

Zoom 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.

GET Settings

Retrieve a user's settings. For user-level apps, pass the me value instead of the userId parameter. [Read more...]

Parameter	Description
UserId	The user ID or email address of the user. For user-level apps, pass the me value.

List Meetings

Get the list of scheduled meetings. For current user (me) or specified user Id. To get more details about a meeting you can call get_meeting EndPoint. [Read more...]

Parameter	Description
UserId	The user ID or email address of the user. For user-level apps, pass the me value.

Get Meeting By Id

The Meeting Id or email address of the user. For user-level apps, pass the me value. [Read more...]

Parameter	Description
MeetingId	The Meeting ID for which you want to get details.

List Meeting Registrants

A host or a user with admin permission can require registration for a Zoom meeting. Use this API to list users that have registered for a meeting. [Read more...]

Parameter	Description
UserId	Only Used to list Meetings in the UI
MeetingId	The Meeting ID for which you want to get details.

Past Meeting

Use this API to get information about a past meeting. [Read more...]

Parameter	Description
MeetingId	The Meeting ID for which you want to get details.

List Registration Questions

List registration questions that will be displayed to users while registering for a meeting. [Read more...]

Parameter	Description
MeetingId	The Meeting ID for which you want to get details.

List Users

Use this API to list your account's users.'s users [Read more...]

List Webinars

Use this API to list all the webinars scheduled by or on-behalf a user (webinar host). For user-level apps, pass the me value instead of the userId parameter. [Read more...]

Parameter	Description
UserId	The user ID or email address of the user. For user-level apps, pass the me value.

Get Webinar Settings

Use this API to get settings details of a scheduled webinar. [Read more...]

Parameter	Description
WebinarId	The Webinar ID for which you want to get details.

Get Webinar Settings By Id

Use this API to get details of a scheduled webinar. [Read more...]

Parameter	Description
WebinarId	The Webinar ID for which you want to get details.

List Webinar Registrants

Use this API to list all the users that have registered for a webinar. [Read more...]

Parameter	Description
WebinarId	The Webinar ID for which you want to get details.

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	Set 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

Zoom Connector Examples for SQL Server 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.

List Users [Read more...]

Lists all available Users for organization level

SELECT * FROM Users

Get Settings [Read more...]

Get the user settings by by user id

SELECT * FROM UserSettings
WITH(
  UserId='me' -- enter user id or email
)
--You can get UserId by selecting from 'list_users' endpoint and also this value available as dropdown value for UserId parameter.

List Meetings [Read more...]

List all the meetings for a selected User

SELECT *  FROM Meetings 
WITH(
  UserId ='me' -- enter user id or email
)
--You can get UserId by selecting from 'list_users' endpoint and also this value available as dropdown value for UserId parameter.

Get Meeting [Read more...]

Select a meeting from the list_meetings by providing meeting id

SELECT * FROM Meetings Where id=1234
--You can get id by selecting from 'list_meetings' endpoint and also this value available as dropdown value for MeetingId parameter.

List Meeting Registrants [Read more...]

Select a meeting registants for the specific meeting id

SELECT * FROM MeetingRegistrants
WITH(
  MeetingId='1234'
)
--You can get MeetingId by selecting from 'list_meetings' endpoint and also this value available as dropdown value for MeetingId parameter.

List Past Meeting Registrants [Read more...]

Select a past meeting registants for the specific meeting id

SELECT * FROM PastMeetingRegistrants
				
			WITH(
					  MeetingId='123456'
				)
				--You can get MeetingId by selecting from 'list_meetings' endpoint and also this value available as dropdown value for MeetingId parameter.

List Registration Questions [Read more...]

Select a meeting registants questions for the specific meeting id

SELECT * FROM RegistrationQuestions

				WITH(
					  MeetingId='123456'
				)
				--You can get MeetingId by selecting from 'list_meetings' endpoint and also this value available as dropdown value for MeetingId parameter.

List Webinars [Read more...]

Lists all available Webinars for a selected User with webinars access rights

SELECT *  FROM Webinars
				
				WITH(
					  UserId='test' -- enter user id or email
				)
				--You can get UserId by selecting from 'list_users' endpoint and also this value available as dropdown value for UserId parameter.

List Webinar Registrants [Read more...]

Select a webinar registants for the specific webinar id

SELECT * FROM [WebinarRegistrants]
					WITH(
				 WebinarId='123456'
				)
				--You can get WebinarId by selecting from 'list_webinars' endpoint and also this value avialable as dropdown value for MeetingId parameter.

Get Webinar [Read more...]

Select a webinar from the list_webinars by providing webinar id

SELECT * FROM Webinars Where id=1234
				--You can get id by selecting from 'list_webinars' endpoint and also this value available as dropdown value for WebinarId parameter.

Get Webinar Settings [Read more...]

Select a webinar from the list_webinars by providing webinar id

SELECT * FROM WebinarSettings

					WITH(
						  WebinarId='85463711883'
					)
				--You can get WebinarId by selecting from 'list_webinars' endpoint and also this value available as dropdown value for WebinarId parameter.

Conclusion

In this article we discussed how to connect to Zoom in SQL Server and integrate data without any coding. Click here to Download Zoom Connector for SQL Server 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 Zoom Connector for SQL Server Documentation

More integrations

Other application integration scenarios for Zoom

SSIS

Power BI

SSRS

Informatica

MS Access

MS Excel

SSAS

Python

JAVA

Tableau

SAP Crystal Reports

Azure Data Factory (Pipeline)

Azure Data Factory (SSIS)

Talend Studio

UiPath

PowerShell

ODBC

Other connectors for SQL Server

Amazon Ads

Amazon MWS

Amazon Selling Partner (SP-API)

Asana

Azure DevOps

Cosmos DB

DropBox

FastSpring

Google Drive

Hubspot

Jira

Mailchimp

ManagedEngine ServiceDesk Plus (Zoho)

Nativo

OData

OneDrive

Outlook Mail (Office 365)

Power BI

ServiceNow

SharePoint Online

Shopify

Smartsheet

Stripe

YouTube

Zendesk

Zoho CRM

Zoho SalesIQ

Zoom

REST API

JSON

JSON File

XML

SOAP

XML File

JDBC-ODBC Bridge

Salesforce

CSV

Amazon S3 JSON File

Amazon S3 XML File

Amazon S3 CSV File

Azure Blob JSON File

Azure Blob XML File

Azure Blob CSV File

FTP/SFTP JSON File

FTP/SFTP XML File

FTP/SFTP CSV File

Build your own Custom API Connector

Download Zoom Connector for SQL Server Documentation

Common Searches:

How to connect Zoom in SQL Server?
How to get Zoom data in SQL Server?
How to read Zoom data in SQL Server?
How to load Zoom data in SQL Server?
How to import Zoom data in SQL Server?
How to pull Zoom data in SQL Server?
How to push data to Zoom in SQL Server?
How to write data to Zoom in SQL Server?
How to POST data to Zoom in SQL Server?
Call Zoom API in SQL Server
Consume Zoom API in SQL Server
Zoom SQL Server Automate
Zoom SQL Server Integration
Integration Zoom in SQL Server
Consume real-time Zoom data in SQL Server
Consume real-time Zoom API data in SQL Server
Zoom ODBC Driver | ODBC Driver for Zoom | ODBC Zoom Driver | SSIS Zoom Source | SSIS Zoom Destination
Connect Zoom in SQL Server
Load Zoom in SQL Server
Load Zoom data in SQL Server
Read Zoom data in SQL Server
Zoom API Call in SQL Server