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This comprehensive workflow automation helps you streamline Awsrekognition GoogleSheets Automation Webhook processes. By using this blueprint, you can eliminate manual data entry and ensure seamless integration between your favorite platforms.
This workflow is pre-configured and ready for deployment. Simply import the JSON template into your n8n instance and configure your credentials.
This is an exclusive blueprint. Copy the JSON below to use it.
PRO TIP
Always test your workflow in a development environment before pushing to production.
{
"nodes": [
{
"name": "AWS Rekognition",
"type": "n8n-nodes-base.awsRekognition",
"position": [
680,
700
],
"parameters": {
"type": "detectText",
"binaryData": true,
"additionalFields": {}
},
"credentials": {
"aws": {
"id": "9",
"name": "aws"
}
},
"typeVersion": 1
},
{
"name": "HTTP Request",
"type": "n8n-nodes-base.httpRequest",
"position": [
500,
700
],
"parameters": {
"url": "https://www.nicepng.com/png/detail/54-542069_motivational-quotes-png.png",
"options": {},
"responseFormat": "file",
"queryParametersUi": {
"parameter": []
},
"headerParametersUi": {
"parameter": []
}
},
"typeVersion": 1
},
{
"name": "HTTP Request1",
"type": "n8n-nodes-base.httpRequest",
"disabled": true,
"position": [
500,
860
],
"parameters": {
"url": "https://www.googleapis.com/customsearch/v1?key=[YOUR_KEY]&cx=[YOUR_CX]&q=office&searchType=image",
"options": {},
"queryParametersUi": {
"parameter": []
},
"headerParametersUi": {
"parameter": []
}
},
"typeVersion": 1
},
{
"name": "Set1",
"type": "n8n-nodes-base.set",
"position": [
860,
700
],
"parameters": {
"values": {
"number": [],
"string": [
{
"name": "img_name",
"value": "={{$node[\"HTTP Request\"].binary.data.fileName}}"
},
{
"name": "img_link",
"value": "={{$node[\"HTTP Request\"].parameter[\"url\"]}}"
},
{
"name": "img_txt",
"value": "={{$json[\"TextDetections\"][1][\"DetectedText\"]}} {{$json[\"TextDetections\"][2][\"DetectedText\"]}}{{$json[\"TextDetections\"][3][\"DetectedText\"]}} {{$json[\"TextDetections\"][4][\"DetectedText\"]}} {{$json[\"TextDetections\"][5][\"DetectedText\"]}}"
}
]
},
"options": {},
"keepOnlySet": true
},
"typeVersion": 1
},
{
"name": "Function1",
"type": "n8n-nodes-base.function",
"position": [
1040,
700
],
"parameters": {
"functionCode": "for (item of items) {\n item.json.lowerText = $node[\"Set1\"].json[\"img_txt\"].toLowerCase();\n}\nconsole.log('Done!');\n\nreturn items;"
},
"typeVersion": 1
},
{
"name": "Google Sheets1",
"type": "n8n-nodes-base.googleSheets",
"position": [
1220,
700
],
"parameters": {
"options": {},
"sheetId": "qwertz",
"operation": "append",
"authentication": "oAuth2"
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "2",
"name": "google_sheets_oauth"
}
},
"typeVersion": 1
}
],
"connections": {
"Set1": {
"main": [
[
{
"node": "Function1",
"type": "main",
"index": 0
}
]
]
},
"Function1": {
"main": [
[
{
"node": "Google Sheets1",
"type": "main",
"index": 0
}
]
]
},
"HTTP Request": {
"main": [
[
{
"node": "AWS Rekognition",
"type": "main",
"index": 0
}
]
]
},
"AWS Rekognition": {
"main": [
[
{
"node": "Set1",
"type": "main",
"index": 0
}
]
]
}
}
}To use this, copy the JSON above and paste it directly onto your n8n canvas.
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