The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"name": "Sync Local Falcon rankings to BigQuery data warehouse",
"nodes": [
{
"parameters": {
"content": "## Sync Local Falcon Rankings to BigQuery Data Warehouse\n\n**Who is this for:** Data teams who want to centralize ranking data in BigQuery for advanced analytics, ML, and BI tools.\n\n**What this workflow does:**\n1. Fetches scan reports from Local Falcon\n2. Transforms data into BigQuery-compatible format\n3. Inserts records into your BigQuery table\n4. Maintains historical data for trend analysis\n\n**How to set up:**\n1. Add your Local Falcon API credentials (get your key at https://www.localfalcon.com/api/credentials)\n2. Add your Google Cloud credentials with BigQuery access\n3. Create a BigQuery dataset and table with schema\n4. Update project, dataset, and table IDs\n5. Activate the workflow\n\n**BigQuery Schema:**\n```sql\nCREATE TABLE rankings (\n place_id STRING,\n location_name STRING,\n keyword STRING,\n avg_rank FLOAT64,\n platform STRING,\n scan_date TIMESTAMP,\n report_key STRING,\n ingested_at TIMESTAMP\n);\n```\n\n**Requirements:**\n- Local Falcon account with API access\n- Google Cloud project with BigQuery enabled\n- Service account with BigQuery Data Editor role",
"height": 580,
"width": 460,
"color": 5
},
"id": "sticky-main",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
100,
-220
]
},
{
"parameters": {
"content": "### Step 1: Schedule\nRuns daily to sync data.",
"height": 100,
"width": 200
},
"id": "sticky-step1",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
40,
660
]
},
{
"parameters": {
"content": "### Step 2: Get Reports\nFetches ranking data.",
"height": 100,
"width": 200
},
"id": "sticky-step2",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
300,
660
]
},
{
"parameters": {
"content": "### Step 3: Transform\nFormats for BigQuery schema.",
"height": 100,
"width": 200
},
"id": "sticky-step3",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
560,
660
]
},
{
"parameters": {
"content": "### Step 4: Insert\nLoads data into BigQuery.",
"height": 100,
"width": 200
},
"id": "sticky-step4",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
820,
660
]
},
{
"parameters": {
"rule": {
"interval": [
{
"field": "days",
"triggerAtHour": 5
}
]
}
},
"id": "schedule",
"name": "Every Day 5am",
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1.2,
"position": [
140,
440
]
},
{
"parameters": {
"resource": "scan",
"operation": "listReports",
"additionalFields": {
"limit": 200
}
},
"id": "get-reports",
"name": "Get Scan Reports",
"type": "@local-falcon/n8n-nodes-localfalcon.localFalcon",
"typeVersion": 1,
"position": [
400,
440
],
"credentials": {
"localFalconApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsCode": "const reports = $input.first().json.reports || [];\nconst now = new Date().toISOString();\n\nreturn reports.map(report => ({\n json: {\n place_id: report.place_id || '',\n location_name: report.location_name || 'Unknown',\n keyword: report.keyword || '',\n avg_rank: parseFloat(report.avg_rank) || null,\n platform: report.platform || 'google',\n scan_date: report.scan_date || now,\n report_key: report.report_key || '',\n ingested_at: now\n }\n}));"
},
"id": "transform",
"name": "Transform for BigQuery",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
660,
440
]
},
{
"parameters": {
"operation": "insert",
"projectId": {
"__rl": true,
"mode": "id",
"value": "YOUR_GCP_PROJECT_ID"
},
"datasetId": {
"__rl": true,
"mode": "id",
"value": "local_falcon_data"
},
"tableId": {
"__rl": true,
"mode": "id",
"value": "rankings"
},
"columns": "*",
"options": {}
},
"id": "insert-bq",
"name": "Insert to BigQuery",
"type": "n8n-nodes-base.googleBigQuery",
"typeVersion": 2,
"position": [
920,
440
],
"credentials": {
"googleBigQueryOAuth2Api": {
"name": "<your credential>"
}
}
}
],
"connections": {
"Every Day 5am": {
"main": [
[
{
"node": "Get Scan Reports",
"type": "main",
"index": 0
}
]
]
},
"Get Scan Reports": {
"main": [
[
{
"node": "Transform for BigQuery",
"type": "main",
"index": 0
}
]
]
},
"Transform for BigQuery": {
"main": [
[
{
"node": "Insert to BigQuery",
"type": "main",
"index": 0
}
]
]
}
},
"meta": {
"templateCredsSetupCompleted": true
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
googleBigQueryOAuth2ApilocalFalconApi
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
Sync Local Falcon rankings to BigQuery data warehouse. Uses @local-falcon/n8n-nodes-localfalcon, googleBigQuery. Scheduled trigger; 9 nodes.
Source: https://github.com/local-falcon/n8n-templates/blob/3dd7676046b6b8efc3bda40821cc944664db80f2/templates/32-bigquery-data-warehouse.json — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
Track ChatGPT visibility with Local Falcon. Uses @local-falcon/n8n-nodes-localfalcon. Scheduled trigger; 10 nodes.
Track AI Mode visibility with Local Falcon. Uses @local-falcon/n8n-nodes-localfalcon. Scheduled trigger; 10 nodes.
Update Monday.com items with Local Falcon rankings. Uses @local-falcon/n8n-nodes-localfalcon, mondayCom. Scheduled trigger; 9 nodes.
backup. Uses googleDrive, httpRequest. Scheduled trigger; 15 nodes.
Smart google indexing: sitemap filter and url inspection. Uses httpRequest, xml, splitOut, scheduleTrigger. Scheduled trigger; 13 nodes.