Export Google Search Console data to Airtable automatically

Export Google Search Console Data to Airtable Automatically !automatiserdonneessearchconsoleairtable.png(fileId:2647) If you’ve ever downloaded CSV files from Google Search Console, opened them in Excel, cleaned the weird formatting, and pasted them into a sheet just to get a simple report… this workflow is made for you. Who Is This Workflow For? This automation is perfect for: - SEO freelancers and consultants → who want to track client performance without wasting time on manual exports. - Marketing teams → who need fresh daily/weekly reports to check what keywords and pages are performing. - Website owners → who just want a clean way to see how their site is doing without logging into Google Search Console every day. Basically, if you care about SEO but don't want to babysit CSV files, this workflow is your new best friend. If you need a professional n8n agency to build advanced data automation workflows like this, check out Vision IA's n8n automation services. What Does It Do? Here’s the big picture: 1. It runs on a schedule (every day, or whenever you want). 2. It fetches data directly from the Google Search Console API. 3. It pulls 3 types of reports: - By Query (keywords people used). - By Page (URLs that ranked). - By Date (daily performance). 4. It splits and cleans the data so it’s human-friendly. 5. It saves everything into Airtable, organized in three tables. End result: every time you open Airtable, you have a neat SEO database with clicks, impressions, CTR, and average position — no manual work required. Prerequisites You’ll need a few things to get started: - Access to Google Search Console. - A Google Cloud project with the Search Console API enabled. - An Airtable account to store the data. - An automation tool that can connect APIs (like the one we’re using here). That’s it! --- Step 1: Schedule the Workflow The very first node in the workflow is the Schedule Trigger. - Why? → So you don’t have to press “Run” every day. - What it does → It starts the whole workflow at fixed times. In the JSON, you can configure things like: - Run every day at a specific hour (e.g., 8 AM). - Or run every X hours/minutes if you want more frequent updates. This is the alarm clock of your automation ⏰. --- Step 2: Set Your Domain and Time Range Next, we define the site and the time window for the report. In the JSON, there’s a Set node with two important parameters: - domain → your website (example: https://www.vvv.fr/). - days → how many days back you want the data (default: 30). 👉 Changing these two values updates the whole workflow. Super handy if you want 7-day reports instead of 30. Step 3: Fetch Data from Google Search Console This is where the workflow talks to the API. There are 3 HTTP Request nodes: 1. Get Query Report - Pulls data grouped by search queries (keywords). - Parameters in the JSON: - startDate = today - 30 days - endDate = today - dimensions = "query" - rowLimit = 25000 (maximum rows the API can return) 2. Get Page Report - Same idea, but grouped by page URLs. - Parameters: - dimensions = "page" - Same dates and row limit. 3. Get Date Report - This one groups performance by date. - Parameters: - dimensions = "date" - You get a day-by-day performance view. Each request returns rows like this: { "keys": "example keyword", "clicks": 42, "impressions": 1000, "ctr": 0.042, "position": 8.5 } Step 4: Split the Data The API sends results in a big array (rows). That’s not very usable directly. So we add a Split Out node for each report. What it does: breaks the array into single items → 1 item per keyword, per page, or per date. This way, each line can be saved individually into Airtable. 👉 Think of it like opening a bag of candy and laying each one neatly on the table 🍬. --- Step 5: Clean and Rename Fields After splitting, we use Edit Fields nodes to make the data human-friendly. For example: - In the Query report → rename keys0 into Keyword. - In the Page report → rename keys0 into page. - In the Date report → re