SERPBear analytics template

Ready-to-use n8n workflow template for ai. This automation connects various tools with 10 nodes. Import directly into your n8n instance and customize for your needs.

10 nodesmanual trigger4 views0 copiesAI

Workflow JSON

{"id": "qmmXKcpJOCm9qaCk", "meta": {"instanceId": "558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a", "templateCredsSetupCompleted": true}, "name": "SERPBear analytics template", "tags": [], "nodes": [{"id": "2ad0eb40-6628-4c6b-bc15-7081e7712f1a", "name": "When clicking \u2018Test workflow\u2019", "type": "n8n-nodes-base.manualTrigger", "position": [260, 380], "parameters": {}, "typeVersion": 1}, {"id": "5a3c9ad8-a562-4bb0-bb11-c325552d8101", "name": "Schedule Trigger", "type": "n8n-nodes-base.scheduleTrigger", "position": [260, 160], "parameters": {"rule": {"interval": [{"field": "weeks"}]}}, "typeVersion": 1.2}, {"id": "bdfa7388-f9b3-4145-90de-2e58138e14bf", "name": "Get data from SerpBear", "type": "n8n-nodes-base.httpRequest", "position": [580, 260], "parameters": {"url": "https://myserpbearinstance.com/api/keyword?id=22", "options": {}, "sendQuery": true, "authentication": "genericCredentialType", "genericAuthType": "httpHeaderAuth", "queryParameters": {"parameters": [{"name": "domain", "value": "rumjahn.com"}]}}, "credentials": {"httpHeaderAuth": {"id": "", "name": "[Your httpHeaderAuth]"}}, "executeOnce": false, "typeVersion": 4.2, "alwaysOutputData": false}, {"id": "c169f4e3-ab60-4b46-9f49-cf27a13dd7c6", "name": "Parse data from SerpBear", "type": "n8n-nodes-base.code", "position": [820, 260], "parameters": {"jsCode": "const keywords = items[0].json.keywords;\nconst today = new Date().toISOString().split('T')[0];\n\n// Create summary for each keyword\nconst keywordSummaries = keywords.map(kw => {\n const position = kw.position || 0;\n const lastWeekPositions = Object.values(kw.history || {}).slice(-7);\n const avgPosition = lastWeekPositions.reduce((a, b) => a + b, 0) / lastWeekPositions.length;\n \n return {\n keyword: kw.keyword,\n currentPosition: position,\n averagePosition: Math.round(avgPosition * 10) / 10,\n trend: position < avgPosition ? 'improving' : position > avgPosition ? 'declining' : 'stable',\n url: kw.url || 'not ranking'\n };\n});\n\n// Create the prompt\nconst prompt = `Here's the SEO ranking data for rumjahn.com as of ${today}:\n\n${keywordSummaries.map(kw => `\nKeyword: \"${kw.keyword}\"\nCurrent Position: ${kw.currentPosition}\n7-Day Average: ${kw.averagePosition}\nTrend: ${kw.trend}\nRanking URL: ${kw.url}\n`).join('\\n')}\n\nPlease analyze this data and provide:\n1. Key observations about ranking performance\n2. Keywords showing the most improvement\n3. Keywords needing attention\n4. Suggested actions for improvement`;\n\nreturn {\n prompt\n};"}, "typeVersion": 2}, {"id": "cc6e16a7-db46-42fe-837a-59ce635c906c", "name": "Send data to A.I. for analysis", "type": "n8n-nodes-base.httpRequest", "position": [1060, 260], "parameters": {"url": "https://openrouter.ai/api/v1/chat/completions", "method": "POST", "options": {}, "jsonBody": "={\n \"model\": \"meta-llama/llama-3.1-70b-instruct:free\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"You are an SEO expert. This is keyword data for my site. Can you summarize the data into a table and then give me some suggestions:{{ encodeURIComponent($json.prompt)}}\" \n }\n ]\n}", "sendBody": true, "specifyBody": "json", "authentication": "genericCredentialType", "genericAuthType": "httpHeaderAuth"}, "credentials": {"httpHeaderAuth": {"id": "", "name": "[Your httpHeaderAuth]"}}, "typeVersion": 4.2, "alwaysOutputData": false}, {"id": "a623f06c-1dfe-4d04-a7fd-fed7049a7588", "name": "Save data to Baserow", "type": "n8n-nodes-base.baserow", "position": [1340, 260], "parameters": {"tableId": 644, "fieldsUi": {"fieldValues": [{"fieldId": 6264, "fieldValue": "={{ DateTime.now().toFormat('yyyy-MM-dd') }}"}, {"fieldId": 6265, "fieldValue": "={{ $json.choices[0].message.content }}"}, {"fieldId": 6266, "fieldValue": "Rumjahn"}]}, "operation": "create", "databaseId": 121}, "credentials": {"baserowApi": {"id": "", "name": "[Your baserowApi]"}}, "typeVersion": 1}, {"id": "e8048faf-bbed-4e48-b273-d1a50a767e76", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [220, -360], "parameters": {"color": 5, "width": 614.709677419355, "height": 208.51612903225802, "content": "## Send Matomo analytics to A.I. and save results to baserow\n\nThis workflow will check the Google keywords for your site and it's rank.\n\n[\ud83d\udca1 You can read more about this workflow here](https://rumjahn.com/how-to-create-an-a-i-agent-to-analyze-serpbear-keyword-rankings-using-n8n-for-free-without-any-coding-skills-required/)"}, "typeVersion": 1}, {"id": "1a18e685-79db-423f-992a-5e0d4ddeb672", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [520, -80], "parameters": {"width": 214.75050403225822, "height": 531.7318548387107, "content": "## Get SERPBear Data\n \n1. Enter your SerpBear API keys and URL. You need to find your website ID which is probably 1.\n2. Navigate to Administration > Personal > Security > Auth tokens within your Matomo dashboard. Click on Create new token and provide a purpose for reference."}, "typeVersion": 1}, {"id": "99895baf-75d0-4af2-87de-5b8951186e78", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [980, -60], "parameters": {"color": 3, "width": 225.99936321742769, "height": 508.95792207792226, "content": "## Send data to A.I.\n\nFill in your Openrouter A.I. credentials. Use Header Auth.\n- Username: Authorization\n- Password: Bearer {insert your API key}\n\nRemember to add a space after bearer. Also, feel free to modify the prompt to A.1."}, "typeVersion": 1}, {"id": "07d03511-98b0-4f4a-8e68-96ca177fb246", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [1240, -40], "parameters": {"color": 6, "width": 331.32883116883124, "height": 474.88, "content": "## Send data to Baserow\n\nCreate a table first with the following columns:\n- Date\n- Note\n- Blog\n\nEnter the name of your website under \"Blog\" field."}, "typeVersion": 1}], "active": false, "pinData": {}, "settings": {"executionOrder": "v1"}, "versionId": "8b7e7da7-1965-4ca4-8e15-889eda819723", "connections": {"Schedule Trigger": {"main": [[{"node": "Get data from SerpBear", "type": "main", "index": 0}]]}, "Get data from SerpBear": {"main": [[{"node": "Parse data from SerpBear", "type": "main", "index": 0}]]}, "Parse data from SerpBear": {"main": [[{"node": "Send data to A.I. for analysis", "type": "main", "index": 0}]]}, "Send data to A.I. for analysis": {"main": [[{"node": "Save data to Baserow", "type": "main", "index": 0}]]}, "When clicking \u2018Test workflow\u2019": {"main": [[{"node": "Get data from SerpBear", "type": "main", "index": 0}]]}}}

How to Import This Workflow

  1. 1Copy the workflow JSON above using the Copy Workflow JSON button.
  2. 2Open your n8n instance and go to Workflows.
  3. 3Click Import from JSON and paste the copied workflow.

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