Google Maps reviews to Google Sheets sync using SerpApi
Sync Google Maps Reviews to Google Sheets for Any Google Maps Query
How it works
This workflow accepts any query you might run on actual Google Maps to search for places. The search happens through SerpApi's Google Maps API.
Once the workflow receives place results from Google Maps, it loops through each place fetching reviews using SerpApi's Google Maps Reviews API. By default, the workflow will be limited to fetch up to 50 reviews per place. This can be customized in the 'Set Review Limit' node}.
The first page of reviews for a place will only return 8 reviews. All subsequent pages will return up to 20 reviews.
The fetched reviews are sent to a connected Google Sheet.
How to use
- Create a free SerpApi account here: https://serpapi.com/
- Add SerpApi credentials to n8n. Your SerpApi API key is here: https://serpapi.com/manage-api-key
- Connect your Google Sheets accounts to n8n. Help available here: https://n8n.io/integrations/google-sheets/
- Create a Google Sheet with these column headers:
name,iso_date,rating,snippet - Connect your Google Sheet in the 'Append Reviews' Google Sheet node
- Update the Search Query in the 'Search Google Maps' node to set your own query
- (Optional) Update the review limit from the default 50 in the 'Set Review Limit' node. Set it to a very high number (e.g. 50000) to get all possible reviews.
- Hit 'Test Workflow' to manually trigger the workflow.
Limitations
Can only retrieve the top 20 results from Google Maps. It won't paginate to get more results. The workflow could be extended to support Google Maps Pagination.
Warning
Each request to SerpApi consumes 1 search credit. Be mindful of how many search credits your account has before requesting more reviews than your account supports.
As an example, if a Google Maps query returns 20 results and you fetch the default limit of 50 reviews per page, this will use up to 61 SerpApi search credits.
Documentation
Google Maps API Google Maps Reviews API SerpApi n8n Node Intro Guide
n8n Google Maps Reviews to Google Sheets Sync using SerpApi
This n8n workflow automates the process of fetching Google Maps reviews for a specific place and syncing them to a Google Sheet. It's designed to help businesses monitor their online reputation or collect customer feedback efficiently.
What it does
This workflow performs the following key steps:
- Manual Trigger: The workflow is initiated manually, allowing you to control when the review fetching process begins.
- Code (SerpApi Call): It executes custom JavaScript code to make an API call to SerpApi. This call is configured to search for Google Maps reviews for a specified
place_id. - Split Out: The raw API response from SerpApi, which contains a list of reviews, is then split into individual review items.
- Loop Over Items: Each individual review item is processed in a loop.
- Edit Fields (Set): Within the loop, the workflow extracts specific fields from each review, such as the reviewer's name, rating, review text, and timestamp. It then renames or formats these fields to be suitable for Google Sheets.
- If (Check for Existing Review): For each processed review, the workflow checks if a review with the same
review_idalready exists in the target Google Sheet. - Switch (Handle New/Existing Reviews):
- If the review is new: It proceeds to add the review to the Google Sheet.
- If the review already exists: It skips adding the review to avoid duplicates.
- Google Sheets (Append New Row): If a review is determined to be new, the workflow appends a new row to the specified Google Sheet with the extracted review data.
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Instance: A running n8n instance.
- SerpApi Account and API Key: To fetch Google Maps review data.
- Google Account: With access to Google Sheets.
- Google Sheets Credential in n8n: Configured to allow n8n to write to your Google Sheets.
- Google Sheet: A pre-existing Google Sheet where the reviews will be stored. It should have columns corresponding to the data being extracted (e.g.,
Reviewer Name,Rating,Review Text,Timestamp,Review ID). - Google Place ID: The unique identifier for the Google Maps location you want to retrieve reviews for.
Setup/Usage
- Import the workflow: Download the JSON provided and import it into your n8n instance.
- Configure Credentials:
- Google Sheets: Set up a Google Sheets credential in n8n if you haven't already. Ensure it has write access to the target spreadsheet.
- SerpApi: Configure a SerpApi credential in n8n with your API key.
- Update "Code" Node:
- Edit the "Code" node to include your
place_idfor the Google Maps location you want to monitor. - Ensure the SerpApi API call parameters are correctly set up for fetching Google Maps reviews.
- Edit the "Code" node to include your
- Update "Google Sheets" Node:
- Select your Google Sheets credential.
- Specify the Spreadsheet ID and Sheet Name where you want to store the reviews.
- Verify that the "Operation" is set to "Append Row" and the "Insert Data By" is set to "Column Name" (or adjust as needed based on your sheet setup).
- Update "If" Node:
- Adjust the condition in the "If" node to accurately check for existing
review_idvalues in your Google Sheet. You might need to perform a "Read Sheet" operation before this node to get existing IDs for comparison (this is not explicitly in the provided JSON but is implied by the "If" node's purpose for checking existing reviews).
- Adjust the condition in the "If" node to accurately check for existing
- Activate the workflow: Once configured, activate the workflow. You can then execute it manually using the "When clicking ‘Execute workflow’" trigger.
Related Templates
Track competitor SEO keywords with Decodo + GPT-4.1-mini + Google Sheets
This workflow automates competitor keyword research using OpenAI LLM and Decodo for intelligent web scraping. Who this is for SEO specialists, content strategists, and growth marketers who want to automate keyword research and competitive intelligence. Marketing analysts managing multiple clients or websites who need consistent SEO tracking without manual data pulls. Agencies or automation engineers using Google Sheets as an SEO data dashboard for keyword monitoring and reporting. What problem this workflow solves Tracking competitor keywords manually is slow and inconsistent. Most SEO tools provide limited API access or lack contextual keyword analysis. This workflow solves that by: Automatically scraping any competitor’s webpage with Decodo. Using OpenAI GPT-4.1-mini to interpret keyword intent, density, and semantic focus. Storing structured keyword insights directly in Google Sheets for ongoing tracking and trend analysis. What this workflow does Trigger — Manually start the workflow or schedule it to run periodically. Input Setup — Define the website URL and target country (e.g., https://dev.to, france). Data Scraping (Decodo) — Fetch competitor web content and metadata. Keyword Analysis (OpenAI GPT-4.1-mini) Extract primary and secondary keywords. Identify focus topics and semantic entities. Generate a keyword density summary and SEO strength score. Recommend optimization and internal linking opportunities. Data Structuring — Clean and convert GPT output into JSON format. Data Storage (Google Sheets) — Append structured keyword data to a Google Sheet for long-term tracking. Setup Prerequisites If you are new to Decode, please signup on this link visit.decodo.com n8n account with workflow editor access Decodo API credentials OpenAI API key Google Sheets account connected via OAuth2 Make sure to install the Decodo Community node. Create a Google Sheet Add columns for: primarykeywords, seostrengthscore, keyworddensity_summary, etc. Share with your n8n Google account. Connect Credentials Add credentials for: Decodo API credentials - You need to register, login and obtain the Basic Authentication Token via Decodo Dashboard OpenAI API (for GPT-4o-mini) Google Sheets OAuth2 Configure Input Fields Edit the “Set Input Fields” node to set your target site and region. Run the Workflow Click Execute Workflow in n8n. View structured results in your connected Google Sheet. How to customize this workflow Track Multiple Competitors → Use a Google Sheet or CSV list of URLs; loop through them using the Split In Batches node. Add Language Detection → Add a Gemini or GPT node before keyword analysis to detect content language and adjust prompts. Enhance the SEO Report → Expand the GPT prompt to include backlink insights, metadata optimization, or readability checks. Integrate Visualization → Connect your Google Sheet to Looker Studio for SEO performance dashboards. Schedule Auto-Runs → Use the Cron Node to run weekly or monthly for competitor keyword refreshes. Summary This workflow automates competitor keyword research using: Decodo for intelligent web scraping OpenAI GPT-4.1-mini for keyword and SEO analysis Google Sheets for live tracking and reporting It’s a complete AI-powered SEO intelligence pipeline ideal for teams that want actionable insights on keyword gaps, optimization opportunities, and content focus trends, without relying on expensive SEO SaaS tools.
Two-way property repair management system with Google Sheets & Drive
This workflow automates the repair request process between tenants and building managers, keeping all updates organized in a single spreadsheet. It is composed of two coordinated workflows, as two separate triggers are required — one for new repair submissions and another for repair updates. A Unique Unit ID that corresponds to individual units is attributed to each request, and timestamps are used to coordinate repair updates with specific requests. General use cases include: Property managers who manage multiple buildings or units. Building owners looking to centralize tenant repair communication. Automation builders who want to learn multi-trigger workflow design in n8n. --- ⚙️ How It Works Workflow 1 – New Repair Requests Behind the Scenes: A tenant fills out a Google Form (“Repair Request Form”), which automatically adds a new row to a linked Google Sheet. Steps: Trigger: Google Sheets rowAdded – runs when a new form entry appears. Extract & Format: Collects all relevant form data (address, unit, urgency, contacts). Generate Unit ID: Creates a standardized identifier (e.g., BUILDING-UNIT) for tracking. Email Notification: Sends the building manager a formatted email summarizing the repair details and including a link to a Repair Update Form (which activates Workflow 2). --- Workflow 2 – Repair Updates Behind the Scenes:\ Triggered when the building manager submits a follow-up form (“Repair Update Form”). Steps: Lookup by UUID: Uses the Unit ID from Workflow 1 to find the existing row in the Google Sheet. Conditional Logic: If photos are uploaded: Saves each image to a Google Drive folder, renames files consistently, and adds URLs to the sheet. If no photos: Skips the upload step and processes textual updates only. Merge & Update: Combines new data with existing repair info in the same spreadsheet row — enabling a full repair history in one place. --- 🧩 Requirements Google Account (for Forms, Sheets, and Drive) Gmail/email node connected for sending notifications n8n credentials configured for Google API access --- ⚡ Setup Instructions (see more detail in workflow) Import both workflows into n8n, then copy one into a second workflow. Change manual trigger in workflow 2 to a n8n Form node. Connect Google credentials to all nodes. Update spreadsheet and folder IDs in the corresponding nodes. Customize email text, sender name, and form links for your organization. Test each workflow with a sample repair request and a repair update submission. --- 🛠️ Customization Ideas Add Slack or Telegram notifications for urgent repairs. Auto-create folders per building or unit for photo uploads. Generate monthly repair summaries using Google Sheets triggers. Add an AI node to create summaries/extract relevant repair data from repair request that include long submissions.
Generate song lyrics and music from text prompts using OpenAI and Fal.ai Minimax
Spark your creativity instantly in any chat—turn a simple prompt like "heartbreak ballad" into original, full-length lyrics and a professional AI-generated music track, all without leaving your conversation. 📋 What This Template Does This chat-triggered workflow harnesses AI to generate detailed, genre-matched song lyrics (at least 600 characters) from user messages, then queues them for music synthesis via Fal.ai's minimax-music model. It polls asynchronously until the track is ready, delivering lyrics and audio URL back in chat. Crafts original, structured lyrics with verses, choruses, and bridges using OpenAI Submits to Fal.ai for melody, instrumentation, and vocals aligned to the style Handles long-running generations with smart looping and status checks Returns complete song package (lyrics + audio link) for seamless sharing 🔧 Prerequisites n8n account (self-hosted or cloud with chat integration enabled) OpenAI account with API access for GPT models Fal.ai account for AI music generation 🔑 Required Credentials OpenAI API Setup Go to platform.openai.com → API keys (sidebar) Click "Create new secret key" → Name it (e.g., "n8n Songwriter") Copy the key and add to n8n as "OpenAI API" credential type Test by sending a simple chat completion request Fal.ai HTTP Header Auth Setup Sign up at fal.ai → Dashboard → API Keys Generate a new API key → Copy it In n8n, create "HTTP Header Auth" credential: Name="Fal.ai", Header Name="Authorization", Header Value="Key [Your API Key]" Test with a simple GET to their queue endpoint (e.g., /status) ⚙️ Configuration Steps Import the workflow JSON into your n8n instance Assign OpenAI API credentials to the "OpenAI Chat Model" node Assign Fal.ai HTTP Header Auth to the "Generate Music Track", "Check Generation Status", and "Fetch Final Result" nodes Activate the workflow—chat trigger will appear in your n8n chat interface Test by messaging: "Create an upbeat pop song about road trips" 🎯 Use Cases Content Creators: YouTubers generating custom jingles for videos on the fly, streamlining production from idea to audio export Educators: Music teachers using chat prompts to create era-specific folk tunes for classroom discussions, fostering interactive learning Gift Personalization: Friends crafting anniversary R&B tracks from shared memories via quick chats, delivering emotional audio surprises Artist Brainstorming: Songwriters prototyping hip-hop beats in real-time during sessions, accelerating collaboration and iteration ⚠️ Troubleshooting Invalid JSON from AI Agent: Ensure the system prompt stresses valid JSON; test the agent standalone with a sample query Music Generation Fails (401/403): Verify Fal.ai API key has minimax-music access; check usage quotas in dashboard Status Polling Loops Indefinitely: Bump wait time to 45-60s for complex tracks; inspect fal.ai queue logs for bottlenecks Lyrics Under 600 Characters: Tweak agent prompt to enforce fuller structures like [V1][C][V2][B][C]; verify output length in executions