How to load data from ZohoCRM to Google Sheets

Learn how to use Airbyte to synchronize your ZohoCRM data into Google Sheets within minutes.

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a ZohoCRM connector in Airbyte

Connect to ZohoCRM or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up Google Sheets for your extracted ZohoCRM data

Select Google Sheets where you want to import data from your ZohoCRM source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the ZohoCRM to Google Sheets in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

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How to Sync ZohoCRM to Google Sheets Manually

Begin by logging into your Zoho CRM account. Navigate to the module from which you wish to export data (e.g., Leads, Contacts). Once inside the module, click on the "More" option (often represented by three dots) and select "Export." Choose the fields you want to export and select the export format as CSV. Save the exported file to your computer.

Access Google Sheets by going to [sheets.google.com](http://sheets.google.com) and logging into your Google account. Create a new spreadsheet by clicking on the "+" button or open an existing one where you'd like to import the Zoho CRM data.

In Google Sheets, click on "File" in the top menu, choose "Import," and select "Upload." Drag the CSV file you exported from Zoho CRM or click "Select a file from your device" to choose the file. Google Sheets will prompt you with import options; choose "Replace current sheet" or "Insert new sheet" depending on your preference, and click "Import data."

Once the data is imported, you may need to format it for better readability. Adjust column widths, apply filters, and use Google Sheets' formatting options to improve data presentation, such as bold headers or conditional formatting for specific value ranges.

Review the imported data for any inconsistencies or errors that need correction. This might include removing duplicate entries, correcting misspellings, or rearranging columns to suit your needs. Utilize Google Sheets functions like `SORT`, `FILTER`, or `UNIQUE` to assist in this process.

To maintain data integrity and enhance functionality, set up data validation rules where necessary. For example, restrict certain columns to accept only specific data types or values. Additionally, apply relevant functions or formulas to analyze or transform the data as needed, such as `SUM`, `VLOOKUP`, or `ARRAYFORMULA`.

Though not directly importing, consider setting reminders for regular updates or use Google Sheets' built-in scripting capabilities to automate future data imports. This can be achieved with Google Apps Script by writing custom scripts that automate the fetching and updating of data, although it requires some programming knowledge.

By following these steps, you can effectively move and manage data from Zoho CRM to Google Sheets without the need for third-party connectors or integrations.

How to Sync ZohoCRM to Google Sheets Manually - Method 2:

FAQs

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

Zoho CRM is a comprehensive cloud-based customer relationship management platform designed to help businesses of all sizes streamline their sales, marketing, and customer service operations. It offers a wide range of features, including lead and contact management, sales forecasting, automated workflow creation, and real-time reporting and analytics. Zoho CRM's intuitive interface and customizable modules allow teams to tailor the platform to their specific business needs. It also integrates seamlessly with other Zoho apps and marketing automation tools, enabling a unified view of customer data across multiple touchpoints. With its robust capabilities, scalability, and affordable pricing plans, Zoho CRM empowers businesses to optimize their customer interactions, enhance productivity, and drive growth.

Zoho CRM's API provides access to a wide range of data related to customer relationship management. The following are the categories of data that can be accessed through Zoho CRM's API:  

1. Contacts: This includes information about individual contacts such as name, email address, phone number, and job title.  
2. Accounts: This includes information about companies or organizations such as name, address, and industry.  
3. Leads: This includes information about potential customers who have shown interest in a product or service.  
4. Deals: This includes information about sales opportunities, including the deal amount, stage, and probability of closing.  
5. Activities: This includes information about tasks, events, and calls related to a contact, account, or deal.  
6. Notes: This includes information about notes and comments related to a contact, account, or deal.  
7. Custom modules: This includes information about custom modules that have been created in Zoho CRM, such as project management or inventory management.  

Overall, Zoho CRM's API provides access to a comprehensive set of data that can be used to manage customer relationships and improve business processes.

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps: 
1. Set up Zoho CRM to Google Sheets as a source connector (using Auth, or usually an API key)
2. Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector
3. Define which data you want to transfer from Zoho CRM to Google Sheets and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud. 

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

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