This article provides a complete, practical walkthrough of the Manual Googlesheets Create Triggered n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:  
   Automating CRM Data Sync: A No-Code Workflow to Import Google Sheets Contacts into Salesforce with n8n
   
   Meta Description:  
   Learn how to automate the import and management of contact and company data from Google Sheets into Salesforce using n8n. This no-code workflow ensures accurate CRM updates and reduces manual data entry.
   
   Keywords:  
   n8n automation, Salesforce integration, Google Sheets CRM import, automate contact sync, no-code Salesforce workflow, Google Sheets to Salesforce, CRM data pipeline, contact management automation
   
   Third-Party APIs Used:
   
   - Google Sheets API (via n8n's Google Sheets node)
   - Salesforce API (via n8n's Salesforce node)
   
   Article:
   
   In today’s digital sales and marketing landscape, efficiency is everything. From tracking leads to updating customer records, seamless data flow is essential for effective customer relationship management. But often, sales teams rely on spreadsheets for initial contact collection, only to face tedious manual entry when transferring these contacts into a CRM system like Salesforce. Enter n8n — a powerful no-code workflow automation tool that empowers teams to eliminate repetitive tasks and build smarter pipelines.
   
   In this article, we’ll explore a fully automated n8n workflow that connects Google Sheets and Salesforce. Specifically, this workflow reads company contact data from a Google Sheet, checks if the account already exists in Salesforce, and then either updates or creates new accounts and contact records—all without you lifting a finger beyond clicking "Execute."
   
   How the Workflow Works
   
   The goal of this automation is to import company and contact data from a centralized Google Sheet into Salesforce, while intelligently avoiding duplicate entries and ensuring account-contact relationships are maintained. Let’s walk through each step of the workflow:
   
   1. Manual Trigger to Begin the Process  
   The workflow starts with a Manual Trigger node labeled "On clicking 'execute'." This is designed to give users control over when the sync operation occurs—ideal for batch processing new entries at regular intervals or after team updates.
   
   2. Reading Data from Google Sheets  
   The Google Sheets node reads structured company and contact data from a designated spreadsheet using an OAuth-authenticated Google Sheets account. This spreadsheet likely contains fields like “Company Name,” “First Name,” “Last Name,” and “Email.”
   
   3. Checking for Existing Accounts in Salesforce  
   For each row fetched from the sheet, the workflow uses the Salesforce node to run a SOQL (Salesforce Object Query Language) query like:
   
   SELECT Id, Name FROM Account WHERE Name = '{{Company Name}}'
   
   This determines whether the company already exists in Salesforce.
   
   4. Sorting Out New vs. Existing Companies  
   The Merge nodes and logic branching help separate new companies from existing ones:
   
   - Keep new companies: Filters out companies that weren’t found in Salesforce using "removeKeyMatches."
   - Merge existing account data: Merges contact records that match with existing Salesforce accounts using "mergeByKey."
   
   5. Avoiding Duplicate Company Records  
   The workflow uses the Item Lists node ("Remove duplicate companies") to ensure that no duplicate company entries are processed. It does this by comparing “Company Name” fields before proceeding to account creation steps.
   
   6. Creating New Accounts in Salesforce  
   If a company doesn’t exist already, a Salesforce node is triggered with the “Create” operation to add the new company as an Account record. The “Set new account name” node helps shape the data structure input for this step.
   
   7. Processing Contacts Linked to Accounts  
   The final leg of the workflow involves upserting (update or insert) contact records into Salesforce. Whether it’s a newly created Account or an existing one, the workflow ensures the associated contact is tied to the correct Account ID.
   
   To avoid creating duplicate contacts, the "externalId" field is set to the contact’s email, which acts as a unique identifier in Salesforce. This way, if an email already exists, it updates that contact instead of creating a new one.
   
   Why This Matters
   
   This workflow offers several crucial benefits to teams looking for smarter CRM data handling:
   
   - No manual data duplication from spreadsheets to Salesforce.
   - Confidence in data accuracy and structure.
   - Efficient onboarding of new companies and contacts.
   - Reduced risk of duplicate company and contact records.
   - Easily customizable to include additional fields like phone numbers, job titles, etc.
   
   Use Cases
   
   This workflow is perfect for:
   
   - Sales development teams importing lead lists.
   - Event organizers syncing attendee data into Salesforce.
   - Marketing ops managing lead generation campaigns.
   - Agencies consolidating client data from multiple sources.
   
   Conclusion
   
   n8n’s intuitive interface and powerful integration nodes allow non-developers to build workflows that rival traditional dev-built automations. By linking Google Sheets with Salesforce through a carefully orchestrated series of steps, this workflow eliminates one of the most common pain points in CRM management — manual data entry and cleansing.
   
   Whether you're part of a fast-paced startup or a large enterprise sales team, this template will save hours of work and ensure your Salesforce instance always reflects your most up-to-date contact information.
   
   Ready to simplify your data pipeline? Try building this workflow in n8n today—or better yet, customize it further to match your team’s specific needs.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.