This article provides a complete, practical walkthrough of the Http Googlesheets Sync Webhook 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 Time Tracking: A Seamless Clockify to Syncro Integration with n8n
   
   Meta Description:
   Discover how this n8n workflow automates time entry synchronization from Clockify to SyncroMSP, with Google Sheets logging and intelligent technician matching—all without writing complex code.
   
   Keywords:
   n8n workflow, Clockify integration, SyncroMSP automation, time tracking automation, Google Sheets logging, Syncro API, Clockify API, no-code automation, workflow automation, technician matching
   
   Article:
   
   Automating Time Tracking: A Seamless Clockify to Syncro Integration with n8n
   
   Managing timekeeping and ticketing in separate platforms can be challenging, especially when accuracy and efficiency are vital for billing clients or managing service operations. This article walks through a powerful no-code automation using n8n that bridges time entries from Clockify to SyncroMSP, complete with a Google Sheets log. The workflow intelligently matches technicians and dynamically handles data updates—all to save you time and reduce manual effort.
   
   Let’s break down how each component connects to create a scalable, automated solution for synchronizing time entries across platforms.
   
   Overview of the Workflow
   
   This n8n automation begins with a Webhook node that listens for POST requests containing new time entries from Clockify. Once a new record is received, the workflow processes the data to determine whether it should create a new SyncroMSP timer entry or update an existing one. Additionally, the workflow logs synced timers into a Google Sheet for reference and future matching.
   
   Here’s how this complete automation pipeline operates:
   
   Step 1: Listening for New Clockify Entries
   
   The Webhook node acts as the trigger for the workflow. Whenever a new time entry is logged in Clockify, the data is forwarded to the n8n webhook URL with project, time interval, description, and user information in the payload.
   
   Step 2: Ticket Matching & Validation
   
   Before proceeding, the workflow verifies that the Clockify project name includes a Syncro ticket (e.g., [12345] in the name). This is done using an IF node that checks whether the project name contains the word "Ticket". If not, the flow ends with a NoOp node.
   
   Step 3: Extract Ticket ID and Environment Setup
   
   The project name is parsed to extract the Syncro ticket ID using a regex in a Set node. Another node sets environment variables, such as the base URL for SyncroMSP's API, promoting reusability and security through centralized configuration.
   
   Step 4: Technician Identification
   
   Every time entry tracks a user. To properly associate the log with a technician in Syncro, the workflow uses a SetTechnicians node to store mappings (e.g., "Tech 1" = 1234), which are then processed by a Function node that finds the appropriate user ID based on the incoming entry's username from Clockify.
   
   Step 5: Record Lookup in Google Sheets
   
   To avoid duplicating data, the workflow maintains a sync record in a Google Sheet. The MatchTechnician output flows into a Google Sheets lookup node, which checks whether the Clockify time entry ID already exists. This step determines if the timer should be created anew or updated.
   
   Step 6: Conditional Logic: Insert or Update
   
   An IF node checks the result from Google Sheets. If an existing match is found, the workflow proceeds with a PUT request to update the Syncro timer. Otherwise, a POST request creates a new one. Both operations utilize the Syncro REST API and supply user ID, start and end times, and descriptive notes.
   
   Step 7: Logging the Sync
   
   Whether a new timer was created or an existing one was updated, the result includes a "Syncro" ID and the original "Clockify" ID. These values are then appended to the same Google Sheet, ensuring future lookup accuracy and providing a reliable audit trail.
   
   Benefits of This Workflow
   
   - End-to-End Automation: From receiving a time log to updating the proper ticket, no manual input is required.
   - Scalable and Customizable: Easily extend the workflow with new technician mappings or custom logic for different types of tickets.
   - Error Prevention: By logging all sync attempts and checking for existing entries, the solution prevents data duplication or inconsistency.
   - Human-Readable Logging: Google Sheets offers a simple, accessible record of all synced timers.
   - Technician Mapping: Custom logic ensures the right technician is billed to the right ticket.
   
   Third-Party APIs Used
   
   1. Clockify (Webhook Source): Sends time tracking data to the n8n webhook endpoint.
   2. SyncroMSP API: Used to create and update timer entries associated with service tickets.
      - Endpoints used:
        - POST /tickets/:ticket_id/timer_entry
        - PUT /tickets/:ticket_id/update_timer_entry
   3. Google Sheets API: Logs sync data and checks for existing matches to prevent duplicate entries.
   
   Conclusion
   
   This n8n workflow is a stellar example of how no-code automation platforms can streamline day-to-day operations, especially for MSPs or IT service providers juggling multiple platforms. By integrating Clockify, SyncroMSP, and Google Sheets with seamless logic, this solution ensures accurate billing, reduces human error, and saves valuable time.
   
   Whether you’re a freelancer, agency, or MSP tech manager, automating processes like this not only enhances efficiency but also establishes a more reliable system for time tracking and client management. With n8n, syncing data across platforms becomes a smart and sustainable solution—no code required.
   
   Ready to build your own? Fork this workflow and make it your own in just minutes.

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.