How to connect Bigin by Zoho CRM and Data Enrichment
Create a New Scenario to Connect Bigin by Zoho CRM and Data Enrichment
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Bigin by Zoho CRM, triggered by another scenario, or executed manually (for testing purposes). In most cases, Bigin by Zoho CRM or Data Enrichment will be your first step. To do this, click "Choose an app," find Bigin by Zoho CRM or Data Enrichment, and select the appropriate trigger to start the scenario.

Add the Bigin by Zoho CRM Node
Select the Bigin by Zoho CRM node from the app selection panel on the right.


Bigin by Zoho CRM

Configure the Bigin by Zoho CRM
Click on the Bigin by Zoho CRM node to configure it. You can modify the Bigin by Zoho CRM URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Data Enrichment Node
Next, click the plus (+) icon on the Bigin by Zoho CRM node, select Data Enrichment from the list of available apps, and choose the action you need from the list of nodes within Data Enrichment.


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Authenticate Data Enrichment
Now, click the Data Enrichment node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Data Enrichment settings. Authentication allows you to use Data Enrichment through Latenode.
Configure the Bigin by Zoho CRM and Data Enrichment Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Bigin by Zoho CRM and Data Enrichment Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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Data Enrichment
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Save and Activate the Scenario
After configuring Bigin by Zoho CRM, Data Enrichment, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Bigin by Zoho CRM and Data Enrichment integration works as expected. Depending on your setup, data should flow between Bigin by Zoho CRM and Data Enrichment (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Bigin by Zoho CRM and Data Enrichment
Bigin by Zoho CRM + Data Enrichment + Slack: When a new contact is created in Bigin, enrich the contact's data using Data Enrichment, then send a notification to a Slack channel about the new enriched lead.
Bigin by Zoho CRM + Data Enrichment + Google Sheets: When a new contact is created in Bigin, the contact data is enriched and then logged to a Google Sheet for reporting purposes.
Bigin by Zoho CRM and Data Enrichment integration alternatives

About Bigin by Zoho CRM
Sync Bigin by Zoho CRM data with other apps in Latenode to automate deal pipelines. Update records, trigger custom actions, and route data based on deal stages. Use visual tools or code for tailored workflows. Automate lead nurturing, task creation, and reporting across your business without complex coding or high per-task costs.
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About Data Enrichment
Enrich lead data, verify addresses, or flag fraud risks within Latenode workflows. Connect Data Enrichment APIs to auto-update records across apps. Streamline data cleaning and validation with no-code blocks or custom JS. Automate tasks that need enhanced data for better decisions, at scale.
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See how Latenode works
FAQ Bigin by Zoho CRM and Data Enrichment
How can I connect my Bigin by Zoho CRM account to Data Enrichment using Latenode?
To connect your Bigin by Zoho CRM account to Data Enrichment on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Bigin by Zoho CRM and click on "Connect".
- Authenticate your Bigin by Zoho CRM and Data Enrichment accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I enrich new Bigin leads automatically?
Yes, you can! With Latenode, trigger Data Enrichment whenever a new lead is added to Bigin by Zoho CRM. Automatically get the data you need without manual input, saving time and improving lead quality.
What types of tasks can I perform by integrating Bigin by Zoho CRM with Data Enrichment?
Integrating Bigin by Zoho CRM with Data Enrichment allows you to perform various tasks, including:
- Automatically enrich new leads added to Bigin by Zoho CRM.
- Update existing Bigin by Zoho CRM contacts with fresh data.
- Validate contact information in Bigin by Zoho CRM.
- Trigger personalized email campaigns based on enriched data.
- Score leads based on enriched demographic and firmographic data.
Can Latenode handle large Bigin by Zoho CRM data volumes efficiently?
Yes, Latenode is designed to handle high data volumes. Its architecture ensures efficient processing, letting you automate enrichment workflows at scale.
Are there any limitations to the Bigin by Zoho CRM and Data Enrichment integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Data Enrichment credits are required for each enrichment performed.
- Rate limits on Bigin by Zoho CRM API calls may affect performance with large datasets.
- Custom field mapping may require adjustments to ensure data compatibility.