Automatisation Airtable avec n8n : extraction de logos AI
- Ce workflow n8n a pour objectif d'automatiser l'extraction de données de logos générés par une IA vers Airtable, facilitant ainsi la gestion et l'organisation des informations. Dans un contexte où les entreprises doivent souvent traiter des données créatives, ce workflow s'avère particulièrement utile pour les équipes de design et de marketing qui souhaitent centraliser leurs ressources visuelles. Grâce à cette automatisation n8n, les utilisateurs peuvent soumettre des formulaires contenant des informations sur les logos, qui seront ensuite analysées et transférées vers Airtable pour un accès facile et structuré.
- Le processus commence par un déclencheur de formulaire, qui active le workflow lors de la soumission d'un formulaire. Ensuite, les données sont récupérées et analysées à l'aide d'un agent de traitement de langage, suivi d'une mise en forme JSON pour assurer une structure adéquate. Les attributs sont vérifiés dans Airtable pour éviter les doublons, et les nouvelles entrées sont créées si elles n'existent pas déjà. Les étapes de fusion et de traitement des données garantissent que chaque logo est associé à son identifiant unique, permettant une gestion efficace des ressources.
- Les bénéfices de ce workflow incluent une réduction significative du temps consacré à la gestion des données, une diminution des erreurs humaines lors de l'entrée des informations, et une meilleure organisation des ressources créatives. En intégrant ce type d'automatisation, les entreprises peuvent améliorer leur efficacité opérationnelle et se concentrer sur des tâches à plus forte valeur ajoutée.
Workflow n8n Airtable, extraction de données : vue d'ensemble
Schéma des nœuds et connexions de ce workflow n8n, généré à partir du JSON n8n.
Workflow n8n Airtable, extraction de données : détail des nœuds
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"id": "dDAqkobn2pqgdl2N",
"meta": {
"instanceId": "9e331a89ae45a204c6dee51c77131d32a8c962ec20ccf002135ea60bd285dba9"
},
"name": "AI Logo Sheet Extractor to Airtable",
"tags": [],
"nodes": [
{
"id": "f7ecadb8-dc5d-4e8c-96b8-52c1dbad49b6",
"name": "On form submission",
"type": "n8n-nodes-base.formTrigger",
"position": [
-660,
-220
],
"webhookId": "43837a27-f752-40a8-852a-d5d63d647bfd",
"parameters": {
"options": {
"path": "logo-sheet-feeder"
},
"formTitle": "AI Logo Sheet Feeder",
"formFields": {
"values": [
{
"fieldType": "file",
"fieldLabel": "The Logo-Sheet as Image",
"requiredField": true
},
{
"fieldLabel": "Addional Prompt (e.g.: What the meaning of the graphic?) *optional but helps from time to time.",
"placeholder": "It's a graph chart comparing AI Tools"
}
]
},
"formDescription": "Provide a Image with multiple Logos comparing or bringing multiple Tools into Context with one another."
},
"typeVersion": 2.2
},
{
"id": "b1530578-bde9-4ee3-9cdb-545a621cdb84",
"name": "Retrieve and Parser Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-180,
-220
],
"parameters": {
"options": {
"systemMessage": "Your task is to retrieve Information from the given Input. Extract Categories and Attributes of all given and shown Tools, Softwares or Products you've got by the user.\n\nProvide the Output Array of Tools with the following Structure as JSON:\n\n[{\n\"name\": \"Name of the Tool, Software, etc.\",\n\"attributes\": [\"Some category or attribute\", \"something else you can see from the context or image\"],\n\"similar\": [\"similar tool, product, etc. from shown context\", \"another similar software, product, tool from context\"]\n},{\n\"name\": \"Name of anotherTool, Software, etc.\",\n\"attributes\": [\"Some category, subcategory or general attribute\", \"something else you can see from the context or image\"],\n\"similar\": [\"similar tool, product, etc. from shown context\", \"another similar software, product, tool from context\"]\n}]\n\nList these structure for all the Products you see!\n\nHere a description of the JSON fields:\n\"name\": Just the Name of the Software.\n\"attribute\": Turn any information from the context or image into multiple useful Attributes for this tool. Could be a category, could be a feature, etc. Try to split this information in multiple specific Attributes or Categories.\n\"similar\": if multiple tools are shown that could compare to this one (like on the same level or in the same category), list those here\n\nTake a deep breath and think step by step.\nTry to extract every mentioned tool. There are for sure multiple listed.",
"passthroughBinaryImages": true
},
"hasOutputParser": true
},
"typeVersion": 1.7
},
{
"id": "51642a02-51a4-4894-adf0-f364736dabc1",
"name": "JSON it",
"type": "n8n-nodes-base.set",
"position": [
220,
-220
],
"parameters": {
"mode": "raw",
"options": {},
"jsonOutput": "={{ $json.output }}"
},
"typeVersion": 3.4
},
{
"id": "ec0f0575-eb33-48a9-b3fe-c4f5b71ff548",
"name": "Structured Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
40,
20
],
"parameters": {
"jsonSchemaExample": "{\n\t\"tools\": [{\n\"name\": \"Name of the Tool, Software, etc.\",\n\"attributes\": [\"Some category or attribute\", \"something else you can see from the context or image\"],\n\"similar\": [\"similar tool, product, etc. from shown context\", \"another similar software, product, tool from context\"]\n},{\n\"name\": \"Name of anotherTool, Software, etc.\",\n\"attributes\": [\"Some category, subcategory or general attribute\", \"something else you can see from the context or image\"],\n\"similar\": [\"similar tool, product, etc. from shown context\", \"another similar software, product, tool from context\"]\n}]}"
},
"typeVersion": 1.2
},
{
"id": "6d78005e-7277-40a9-9f10-e3d8e475cbaf",
"name": "Check if Attribute exists",
"type": "n8n-nodes-base.airtable",
"position": [
1380,
0
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "appq0gcmxHAZQhswW",
"cachedResultUrl": "https://airtable.com/appq0gcmxHAZQhswW",
"cachedResultName": "AI Tools"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tblX2rj8yNAZZRhwt",
"cachedResultUrl": "https://airtable.com/appq0gcmxHAZQhswW/tblX2rj8yNAZZRhwt",
"cachedResultName": "Attributes"
},
"columns": {
"value": {
"Name": "={{$json.attributes}}"
},
"schema": [
{
"id": "id",
"type": "string",
"display": true,
"removed": true,
"readOnly": true,
"required": false,
"displayName": "id",
"defaultMatch": true
},
{
"id": "Name",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Tools",
"type": "array",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Tools",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"Name"
]
},
"options": {},
"operation": "upsert"
},
"credentials": {
"airtableTokenApi": {
"id": "jMqH6HkKUYTgyHVm",
"name": "Airtable Personal Access Token account"
}
},
"typeVersion": 2.1
},
{
"id": "1c468a4b-4563-4f78-ba1b-138b18ac4821",
"name": "Merge",
"type": "n8n-nodes-base.merge",
"position": [
1620,
80
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineByPosition"
},
"typeVersion": 3
},
{
"id": "4f597962-48e5-4367-a329-bc07d42ff86d",
"name": "Map Attribute ID",
"type": "n8n-nodes-base.set",
"position": [
1840,
80
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "675510b1-97e7-4a71-9c9e-d3ee792d9919",
"name": "id",
"type": "string",
"value": "={{ $json.id }}"
},
{
"id": "87cc9086-effd-4f4e-84c1-9adec5774e94",
"name": "attribute",
"type": "string",
"value": "={{ $json.attributes }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "11679757-360c-468f-b624-a9f6853e29f4",
"name": "Loop Over Attributes",
"type": "n8n-nodes-base.splitInBatches",
"position": [
720,
-40
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "835a09ae-2e51-488c-b0b3-d895696a135e",
"name": "All Attributes",
"type": "n8n-nodes-base.set",
"position": [
940,
-60
],
"parameters": {
"mode": "raw",
"options": {},
"jsonOutput": "={{ $json }}"
},
"typeVersion": 3.4
},
{
"id": "b8ca6d98-ab37-4393-8a2c-561912aeff2b",
"name": "Wait for Attribute Creation",
"type": "n8n-nodes-base.merge",
"position": [
1120,
-200
],
"parameters": {
"mode": "chooseBranch"
},
"typeVersion": 3
},
{
"id": "9eaf87d4-910b-4a6e-9cdf-ee51ff4180cc",
"name": "Change each Attribute to the corresponding RecID",
"type": "n8n-nodes-base.code",
"position": [
1340,
-200
],
"parameters": {
"jsCode": "let knownAttributesOutput = $('All Attributes').all();\nlet knownAttributes = new Map();\nknownAttributesOutput.forEach((nodeOutput)=>{\nknownAttributes.set(nodeOutput.json.attribute.toString().trim(), nodeOutput.json.id);\n});\n\n\nfor (const item of $input.all()) {\n item.json.attributes.forEach((attribute, index)=>{\n item.json.attributes[index] = knownAttributes.get(attribute.toString().trim());\n });\n}\n\nreturn $input.all();"
},
"typeVersion": 2
},
{
"id": "ecfedff4-f6f9-429e-8514-cf8208e70048",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
600,
-280
],
"parameters": {
"color": 5,
"width": 1460,
"height": 600,
"content": "## Attribute Creation and Mapping those created or existing Ids "
},
"typeVersion": 1
},
{
"id": "ad2fafed-0a42-4615-a882-01306af7caf5",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-260,
-360
],
"parameters": {
"color": 6,
"width": 420,
"height": 540,
"content": "## Eat the provided Images, Extract the Information out of them as \"Tool -> Attributes\" list."
},
"typeVersion": 1
},
{
"id": "5eb89e50-7a2f-415c-82f2-99eb8a7ff82f",
"name": "Split Out Tools",
"type": "n8n-nodes-base.splitOut",
"position": [
440,
-220
],
"parameters": {
"options": {},
"fieldToSplitOut": "tools"
},
"typeVersion": 1
},
{
"id": "680dfb4b-dde4-4d8f-852d-c3eba82e6607",
"name": "Split Out each Attribute String",
"type": "n8n-nodes-base.splitOut",
"position": [
1140,
100
],
"parameters": {
"options": {},
"fieldToSplitOut": "attributes"
},
"typeVersion": 1
},
{
"id": "a33465e9-d469-498f-9178-7c30e15d2782",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
2120,
-280
],
"parameters": {
"color": 4,
"width": 880,
"height": 600,
"content": "## Create the Tools (if not exists)"
},
"typeVersion": 1
},
{
"id": "5b5ab9f2-d4ac-437f-ab0a-b113a8af34ab",
"name": "Generate Unique Hash for Name",
"type": "n8n-nodes-base.crypto",
"position": [
2180,
-200
],
"parameters": {
"value": "={{ $json.name.toLowerCase().trim() }}",
"dataPropertyName": "hash"
},
"typeVersion": 1
},
{
"id": "ea8f7e6f-9004-4271-80d3-333701cce488",
"name": "Create if not Exist",
"type": "n8n-nodes-base.airtable",
"position": [
2400,
-100
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "appq0gcmxHAZQhswW",
"cachedResultUrl": "https://airtable.com/appq0gcmxHAZQhswW",
"cachedResultName": "AI Tools"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tblrikRHbX1N6P2JI",
"cachedResultUrl": "https://airtable.com/appq0gcmxHAZQhswW/tblrikRHbX1N6P2JI",
"cachedResultName": "Tools"
},
"columns": {
"value": {
"Hash": "={{$json.hash}}",
"Name": "={{$json.name}}"
},
"schema": [
{
"id": "id",
"type": "string",
"display": true,
"removed": true,
"readOnly": true,
"required": false,
"displayName": "id",
"defaultMatch": true
},
{
"id": "Name",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Description",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Description",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Website",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Website",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Category",
"type": "array",
"display": true,
"options": [],
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Category",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Attributes",
"type": "array",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Attributes",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Hash",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Hash",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"Hash"
]
},
"options": {},
"operation": "upsert"
},
"credentials": {
"airtableTokenApi": {
"id": "jMqH6HkKUYTgyHVm",
"name": "Airtable Personal Access Token account"
}
},
"typeVersion": 2.1
},
{
"id": "85ac3cbb-4103-4184-b686-9e5b8d48f421",
"name": "Merge Old Data + RecID",
"type": "n8n-nodes-base.merge",
"position": [
2820,
-180
],
"parameters": {
"mode": "combine",
"options": {},
"fieldsToMatchString": "hash"
},
"typeVersion": 3
},
{
"id": "29d6369f-f233-46f8-8bee-aa3be854bb0c",
"name": "Only what we need",
"type": "n8n-nodes-base.set",
"position": [
2600,
-100
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "0ff954ec-1d71-429b-b2e8-dca17ff0478d",
"name": "hash",
"type": "string",
"value": "={{ $json.fields.Hash }}"
},
{
"id": "a7f4c2e7-fa63-45d7-ad22-ce8c3aaae4d6",
"name": "id",
"type": "string",
"value": "={{ $json.id }}"
},
{
"id": "081a7613-7c06-4578-8aa4-25d21952b727",
"name": "existingAttributes",
"type": "array",
"value": "={{ $json.fields.Attributes ? $json.fields.Attributes : [] }}"
},
{
"id": "e3ace89b-d818-4448-8328-b36cdf08da2a",
"name": "existingSimilars",
"type": "array",
"value": "={{ $json.fields.Similar ? $json.fields.Similar : [] }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "bdf9c435-3994-4c25-9520-8dfa76e625eb",
"name": "Determine Attributes we should save",
"type": "n8n-nodes-base.code",
"position": [
3040,
-180
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "let savingAttributes = $input.item.json.existingAttributes ? $input.item.json.existingAttributes : [];\n$input.item.json.attributes.forEach((attrId)=>{\nif($input.item.json.existingAttributes.indexOf(attrId) == -1) savingAttributes.push(attrId);\n});\n\n$input.item.json.savingAttributes = savingAttributes;\n\nreturn $input.item;"
},
"typeVersion": 2
},
{
"id": "88e9f499-87d3-46e2-b3ea-1833c14aaa1b",
"name": "Split Out similar",
"type": "n8n-nodes-base.splitOut",
"position": [
3300,
20
],
"parameters": {
"options": {},
"fieldToSplitOut": "similar"
},
"typeVersion": 1
},
{
"id": "733a8d0c-c6ea-4386-9fd1-075980289e9c",
"name": "Merge1",
"type": "n8n-nodes-base.merge",
"position": [
3960,
0
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineByPosition"
},
"typeVersion": 3
},
{
"id": "dabb7e11-b4de-44d9-a80f-3302f49194fb",
"name": "Generate Unique Hash for Similar",
"type": "n8n-nodes-base.crypto",
"position": [
3520,
-100
],
"parameters": {
"value": "={{ $json.similar.toLowerCase().trim() }}",
"dataPropertyName": "hash"
},
"typeVersion": 1
},
{
"id": "a1bbda24-f75c-4316-b2bd-645827d7af1f",
"name": "It Should exists",
"type": "n8n-nodes-base.airtable",
"position": [
3740,
-100
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "appq0gcmxHAZQhswW",
"cachedResultUrl": "https://airtable.com/appq0gcmxHAZQhswW",
"cachedResultName": "AI Tools"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tblrikRHbX1N6P2JI",
"cachedResultUrl": "https://airtable.com/appq0gcmxHAZQhswW/tblrikRHbX1N6P2JI",
"cachedResultName": "Tools"
},
"columns": {
"value": {
"Hash": "={{$json.hash}}",
"Name": "={{$json.similar}}"
},
"schema": [
{
"id": "id",
"type": "string",
"display": true,
"removed": true,
"readOnly": true,
"required": false,
"displayName": "id",
"defaultMatch": true
},
{
"id": "Name",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Description",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Description",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Website",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Website",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Category",
"type": "array",
"display": true,
"options": [],
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Category",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Attributes",
"type": "array",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Attributes",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Hash",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Hash",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"Hash"
]
},
"options": {},
"operation": "upsert"
},
"credentials": {
"airtableTokenApi": {
"id": "jMqH6HkKUYTgyHVm",
"name": "Airtable Personal Access Token account"
}
},
"typeVersion": 2.1
},
{
"id": "9853b85d-fcb9-4183-8fe4-6e32d318ab01",
"name": "All Similar",
"type": "n8n-nodes-base.set",
"position": [
4180,
0
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "675510b1-97e7-4a71-9c9e-d3ee792d9919",
"name": "id",
"type": "string",
"value": "={{ $json.id }}"
},
{
"id": "87cc9086-effd-4f4e-84c1-9adec5774e94",
"name": "similar",
"type": "string",
"value": "={{ $json.similar }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "0e98acd2-4aa5-4df0-b36b-6ac1a8a2263b",
"name": "Merge2",
"type": "n8n-nodes-base.merge",
"position": [
4400,
-160
],
"parameters": {
"mode": "chooseBranch"
},
"typeVersion": 3
},
{
"id": "ed94900a-78cd-4f61-a705-30f7cb8eb9b8",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
3200,
-280
],
"parameters": {
"color": 2,
"width": 1600,
"height": 600,
"content": "## Map Competitors"
},
"typeVersion": 1
},
{
"id": "74f0f703-ce73-457c-9137-88d613d2e480",
"name": "Change each Smiliar to the corresponding RecID",
"type": "n8n-nodes-base.code",
"position": [
4600,
-160
],
"parameters": {
"jsCode": "let knownSimilarsOutput = $('All Similar').all();\nlet knownSimilars = new Map();\nknownSimilarsOutput.forEach((nodeOutput)=>{\n knownSimilars.set(nodeOutput.json.similar.toString().trim(), nodeOutput.json.id);\n});\n\nfor (const item of $input.all()) {\n item.json.similar.forEach((similar, index)=>{\n item.json.similar[index] = knownSimilars.get(similar.toString().trim());\n });\n}\n\nreturn $input.all();"
},
"typeVersion": 2
},
{
"id": "c9187902-f67f-4639-906b-d6b14ace6a0e",
"name": "Determine Similar we should save",
"type": "n8n-nodes-base.code",
"position": [
4880,
-160
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "let savingSimilar = $input.item.json.existingSimilars ? $input.item.json.existingSimilars : [];\n$input.item.json.similar.forEach((simId)=>{\nif($input.item.json.existingSimilars.indexOf(simId) == -1) savingSimilar.push(simId);\n});\n\n$input.item.json.savingSimilars = savingSimilar;\n\nreturn $input.item;"
},
"typeVersion": 2
},
{
"id": "e925a388-05e2-49e4-92ad-984517f44057",
"name": "Save all this juicy data",
"type": "n8n-nodes-base.airtable",
"position": [
5120,
-160
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "appq0gcmxHAZQhswW",
"cachedResultUrl": "https://airtable.com/appq0gcmxHAZQhswW",
"cachedResultName": "AI Tools"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tblrikRHbX1N6P2JI",
"cachedResultUrl": "https://airtable.com/appq0gcmxHAZQhswW/tblrikRHbX1N6P2JI",
"cachedResultName": "Tools"
},
"columns": {
"value": {
"Hash": "={{$json.hash}}",
"Name": "={{$json.name}}",
"Similar": "={{ $json.savingSimilars }}",
"Attributes": "={{ $json.savingAttributes }}"
},
"schema": [
{
"id": "id",
"type": "string",
"display": true,
"removed": true,
"readOnly": true,
"required": false,
"displayName": "id",
"defaultMatch": true
},
{
"id": "Name",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Description",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Description",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Website",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Website",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Category",
"type": "array",
"display": true,
"options": [],
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Category",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Attributes",
"type": "array",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Attributes",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Hash",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Hash",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Similar",
"type": "array",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Similar",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"Hash"
]
},
"options": {},
"operation": "upsert"
},
"credentials": {
"airtableTokenApi": {
"id": "jMqH6HkKUYTgyHVm",
"name": "Airtable Personal Access Token account"
}
},
"typeVersion": 2.1
},
{
"id": "d2532094-9c71-4fc0-8195-fb2e29169086",
"name": "Map Agent Input",
"type": "n8n-nodes-base.set",
"position": [
-440,
-220
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "ace29464-a2a1-44a1-87f9-255fbde042cf",
"name": "chatInput",
"type": "string",
"value": "={{$json.Prompt}}"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "8fa7273b-ebc8-40e4-9f11-e4b26784f60d",
"name": "gpt-4o",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-200,
20
],
"parameters": {
"model": "gpt-4o",
"options": {}
},
"credentials": {
"openAiApi": {
"id": "25",
"name": "Key 3 vom 15. Jan. 2023\t"
}
},
"typeVersion": 1
},
{
"id": "fb282ffe-4871-4560-97ce-43cc381db874",
"name": "Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1440,
-580
],
"parameters": {
"width": 668,
"height": 786,
"content": "## Instructions\n\nThis automation enables you to just upload any Image (via Form) of a Logo Sheet, containing multiple Images of Products, most likely and bringing them in some context to one another. \n\nAfter submitting an AI-Agent eats **that Logo Sheet**, turning it into an List of \"Productname\" and \"Attributes\", also checks if Tools are kind of similar to another, given the Context of the Image.\n\nWe utilize AI Vision capabilities for that. **NOTE:** It might not be able to extract all informations. For a \"upload and forget it\" Workflow it works for me. You can even run it multiple times, to be sure. \n\nBut if you need to make sure it extracts **everything** you might need to think about an Multi-Agent Setup with Validation-Agent Steps.\n\nOnce the Agent finishes the extraction, it will traditionally and deterministicly add those Attributes to Airtable (**Creates** those, if not already existing.) and also **Upserts** the Tool Informations.\n\nIt uses MD5 **Hashes** for turning Product Names into.. something fancy really, you could also use it without that, but I wanted to have something that looks atleast like an ID. \n\n### Setup\n\n1. Set Up the Airtable like shown below.\n2. Update and set Credentials for all Airtable Nodes.\n3. Check or Adjust the Prompt of the Agent matching your use-case.\n4. Activate the Workflow. \n5. Open the Form (default: https://your-n8n.io/form/logo-sheet-feeder)\n6. Enjoy growing your Airtable.\n\n \nEnjoy the workflow! ❤️ \n[let the workf low](https://let-the-work-flow.com) — Workflow Automation & Development"
},
"typeVersion": 1
},
{
"id": "9ea45b9b-ac2a-4498-b96f-5f5de50acade",
"name": "Table: Tools",
"type": "n8n-nodes-base.noOp",
"position": [
-1340,
340
],
"parameters": {},
"typeVersion": 1
},
{
"id": "6dfbc02e-36b3-4640-b9f2-940c7cd6f86e",
"name": "Table: Attributes",
"type": "n8n-nodes-base.noOp",
"position": [
-1000,
340
],
"parameters": {},
"typeVersion": 1
},
{
"id": "d8ffeff8-8df7-4fc0-9f18-49a44d10eb7d",
"name": "Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1440,
240
],
"parameters": {
"color": 7,
"width": 668,
"height": 786,
"content": "## Airtable Structure\n"
},
"typeVersion": 1
},
{
"id": "7023be89-ee1d-41e6-bcf5-ee28f1284e07",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1420,
580
],
"parameters": {
"color": 5,
"width": 300,
"height": 320,
"content": "### Tools Table Fields\n\n**Required:**\nName (singleLineText) \nAttributes (multipleRecordLinks=Link to Attributes Table) \nHash (singleLineText) \nSimilar (multipleRecordLinks=Link to the Same Table:\"Tools\") \n\n_Description (multilineText)_ \n_Website (url)_\n_Category (multipleSelects)_"
},
"typeVersion": 1
},
{
"id": "0c999f6f-11fb-472a-aa10-0915fbcd1254",
"name": "make it a readable list",
"type": "n8n-nodes-base.html",
"disabled": true,
"position": [
-420,
800
],
"parameters": {
"html": ""
},
"typeVersion": 1.2
},
{
"id": "ae351db3-5c47-4e53-bf9e-e34434ad9522",
"name": "Get Schema",
"type": "n8n-nodes-base.airtable",
"disabled": true,
"position": [
-640,
800
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "appq0gcmxHAZQhswW",
"cachedResultUrl": "https://airtable.com/appq0gcmxHAZQhswW",
"cachedResultName": "AI Tools"
},
"resource": "base",
"operation": "getSchema"
},
"credentials": {
"airtableTokenApi": {
"id": "jMqH6HkKUYTgyHVm",
"name": "Airtable Personal Access Token account"
}
},
"typeVersion": 2.1
},
{
"id": "9da286e2-2a06-4d2a-bd5b-b6c828683ff2",
"name": "Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-720,
660
],
"parameters": {
"color": 7,
"width": 488,
"height": 366,
"content": "## Helper for Documentation (ignore or enjoy it)\n"
},
"typeVersion": 1
},
{
"id": "901a0c48-82a9-4fd3-a007-8f4b257348d3",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1080,
580
],
"parameters": {
"color": 5,
"width": 280,
"height": 320,
"content": "### Attributes Table Fields\n\n**Required:**\nName (singleLineText)\nTools (multipleRecordLinks=Link to Tools Table) "
},
"typeVersion": 1
},
{
"id": "966243fa-a1a3-4201-9df7-6a01aa762ae8",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
-160,
-460
],
"parameters": {
"color": 3,
"width": 220,
"height": 80,
"content": "### Might want to Adjust Prompt to your \"Use-Case\" 🤖"
},
"typeVersion": 1
},
{
"id": "1a4e5b87-68a6-499e-9374-e067fae12c84",
"name": "Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2440,
-580
],
"parameters": {
"color": 7,
"width": 968,
"height": 646,
"content": "## Example Logo Sheet\n### For these kind of sheets the Prompt is designed per default\n\n "
},
"typeVersion": 1
}
],
"active": true,
"pinData": {
"Retrieve and Parser Agent": [
{
"json": {
"output": {
"tools": [
{
"name": "airOps",
"similar": [
"Cognition",
"Gradial"
],
"attributes": [
"Agentic Application",
"AI infrastructure"
]
},
{
"name": "Cognition",
"similar": [
"airOps",
"Gradial"
],
"attributes": [
"Agentic Application",
"AI infrastructure"
]
},
{
"name": "Gradial",
"similar": [
"Cognition",
"airOps"
],
"attributes": [
"Agentic Application",
"AI infrastructure"
]
},
{
"name": "Cognosys",
"similar": [
"FIXIE",
"continuia"
],
"attributes": [
"Agentic Application",
"AI infrastructure"
]
},
{
"name": "FIXIE",
"similar": [
"Cognosys",
"continuia"
],
"attributes": [
"Agentic Application",
"AI infrastructure"
]
},
{
"name": "continuia",
"similar": [
"Cognosys",
"FIXIE"
],
"attributes": [
"Agentic Application",
"AI infrastructure"
]
},
{
"name": "Agentlabs",
"similar": [
"OpenAI",
"LangChain"
],
"attributes": [
"Presentation Tool",
"Utilizes OpenAI and LangChain"
]
},
{
"name": "TINY FISH",
"similar": [
"Superagent",
"basepilot"
],
"attributes": [
"UI Automation",
"Agent as a Service"
]
},
{
"name": "Superagent",
"similar": [
"TINY FISH",
"basepilot"
],
"attributes": [
"UI Automation",
"Agent as a Service"
]
},
{
"name": "basepilot",
"similar": [
"TINY FISH",
"Superagent"
],
"attributes": [
"UI Automation",
"Agent as a Service"
]
},
{
"name": "Browserbase",
"similar": [
"browsersless",
"APIFY"
],
"attributes": [
"Browser Infrastructure",
"Web services"
]
},
{
"name": "browsersless",
"similar": [
"Browserbase",
"APIFY"
],
"attributes": [
"Browser Infrastructure",
"Web services"
]
},
{
"name": "APIFY",
"similar": [
"Browserbase",
"browsersless"
],
"attributes": [
"Browser Infrastructure",
"Web services"
]
},
{
"name": "Cloudflare",
"similar": [
"bright data",
"platform.sh"
],
"attributes": [
"Browser Infrastructure",
"Web services"
]
},
{
"name": "bright data",
"similar": [
"Cloudflare",
"platform.sh"
],
"attributes": [
"Browser Infrastructure",
"Web services"
]
},
{
"name": "platform.sh",
"similar": [
"Cloudflare",
"bright data"
],
"attributes": [
"Browser Infrastructure",
"Web services"
]
},
{
"name": "ingest",
"similar": [
"hatchet",
"Trigger.dev"
],
"attributes": [
"Persistence Tool",
"Data management"
]
},
{
"name": "hatchet",
"similar": [
"ingest",
"Trigger.dev"
],
"attributes": [
"Persistence Tool",
"Data management"
]
},
{
"name": "Trigger.dev",
"similar": [
"ingest",
"hatchet"
],
"attributes": [
"Persistence Tool",
"Data management"
]
},
{
"name": "DSPy",
"similar": [
"AutoGen",
"Scma4.ai"
],
"attributes": [
"Orchestration Tool",
"AI Workflow Management"
]
},
{
"name": "AutoGen",
"similar": [
"DSPy",
"Scma4.ai"
],
"attributes": [
"Orchestration Tool",
"AI Workflow Management"
]
},
{
"name": "Scma4.ai",
"similar": [
"DSPy",
"AutoGen"
],
"attributes": [
"Orchestration Tool",
"AI Workflow Management"
]
},
{
"name": "WhyHowAI",
"similar": [
"Graphlit",
"LangMem"
],
"attributes": [
"Personalization Tool",
"Memory management"
]
},
{
"name": "Graphlit",
"similar": [
"WhyHowAI",
"LangMem"
],
"attributes": [
"Personalization Tool",
"Memory management"
]
},
{
"name": "LangMem",
"similar": [
"WhyHowAI",
"Graphlit"
],
"attributes": [
"Personalization Tool",
"Memory management"
]
},
{
"name": "Pinecone",
"similar": [
"Chroma",
"Weaviate"
],
"attributes": [
"Storage Tool",
"Memory management"
]
},
{
"name": "Chroma",
"similar": [
"Pinecone",
"Weaviate"
],
"attributes": [
"Storage Tool",
"Memory management"
]
},
{
"name": "Weaviate",
"similar": [
"Pinecone",
"Chroma"
],
"attributes": [
"Storage Tool",
"Memory management"
]
},
{
"name": "MongoDB",
"similar": [
"WhiteLodge",
"Chroma"
],
"attributes": [
"Context Management",
"Data storage"
]
},
{
"name": "LangServe",
"similar": [
"E2B",
"Ollama"
],
"attributes": [
"Agent Hosting",
"Deployment platform"
]
},
{
"name": "E2B",
"similar": [
"LangServe",
"Ollama"
],
"attributes": [
"Agent Hosting",
"Deployment platform"
]
},
{
"name": "Ollama",
"similar": [
"LangServe",
"E2B"
],
"attributes": [
"Agent Hosting",
"Deployment platform"
]
},
{
"name": "LangGraph",
"similar": [
"Semantic Kernel",
"LlamaIndex"
],
"attributes": [
"Framework Tool",
"Graph Management"
]
},
{
"name": "LlamaIndex",
"similar": [
"LangGraph",
"Semantic Kernel"
],
"attributes": [
"Framework Tool",
"Graph Management"
]
},
{
"name": "Semantic Kernel",
"similar": [
"LangGraph",
"LlamaIndex"
],
"attributes": [
"Framework Tool",
"Graph Management"
]
},
{
"name": "agentops",
"similar": [
"context",
"LangSmith"
],
"attributes": [
"Agent Evaluation Tool",
"Performance Assessment"
]
},
{
"name": "context",
"similar": [
"agentops",
"LangSmith"
],
"attributes": [
"Agent Evaluation Tool",
"Performance Assessment"
]
},
{
"name": "LangSmith",
"similar": [
"agentops",
"context"
],
"attributes": [
"Agent Evaluation Tool",
"Performance Assessment"
]
},
{
"name": "WHYLabs",
"similar": [
"griptape",
"braintrust"
],
"attributes": [
"Developer Tools",
"Data Management"
]
},
{
"name": "griptape",
"similar": [
"WHYLabs",
"braintrust"
],
"attributes": [
"Developer Tools",
"Data Management"
]
},
{
"name": "braintrust",
"similar": [
"WHYLabs",
"griptape"
],
"attributes": [
"Developer Tools",
"Data Management"
]
}
]
}
}
}
]
},
"settings": {
"executionOrder": "v1"
},
"versionId": "cd74efad-4f0c-45ea-bc7e-3f7c5554c204",
"connections": {
"Merge": {
"main": [
[
{
"node": "Map Attribute ID",
"type": "main",
"index": 0
}
]
]
},
"Merge1": {
"main": [
[
{
"node": "All Similar",
"type": "main",
"index": 0
}
]
]
},
"Merge2": {
"main": [
[
{
"node": "Change each Smiliar to the corresponding RecID",
"type": "main",
"index": 0
}
]
]
},
"gpt-4o": {
"ai_languageModel": [
[
{
"node": "Retrieve and Parser Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"JSON it": {
"main": [
[
{
"node": "Split Out Tools",
"type": "main",
"index": 0
}
]
]
},
"Get Schema": {
"main": [
[
{
"node": "make it a readable list",
"type": "main",
"index": 0
}
]
]
},
"All Similar": {
"main": [
[
{
"node": "Merge2",
"type": "main",
"index": 1
}
]
]
},
"Table: Tools": {
"main": [
[
{
"node": "Table: Tools",
"type": "main",
"index": 0
},
{
"node": "Table: Attributes",
"type": "main",
"index": 0
}
]
]
},
"All Attributes": {
"main": [
[
{
"node": "Wait for Attribute Creation",
"type": "main",
"index": 1
}
]
]
},
"Map Agent Input": {
"main": [
[
{
"node": "Retrieve and Parser Agent",
"type": "main",
"index": 0
}
]
]
},
"Split Out Tools": {
"main": [
[
{
"node": "Loop Over Attributes",
"type": "main",
"index": 0
},
{
"node": "Wait for Attribute Creation",
"type": "main",
"index": 0
}
]
]
},
"It Should exists": {
"main": [
[
{
"node": "Merge1",
"type": "main",
"index": 0
}
]
]
},
"Map Attribute ID": {
"main": [
[
{
"node": "Loop Over Attributes",
"type": "main",
"index": 0
}
]
]
},
"Only what we need": {
"main": [
[
{
"node": "Merge Old Data + RecID",
"type": "main",
"index": 1
}
]
]
},
"Split Out similar": {
"main": [
[
{
"node": "Generate Unique Hash for Similar",
"type": "main",
"index": 0
},
{
"node": "Merge1",
"type": "main",
"index": 1
}
]
]
},
"Table: Attributes": {
"main": [
[]
]
},
"On form submission": {
"main": [
[
{
"node": "Map Agent Input",
"type": "main",
"index": 0
}
]
]
},
"Create if not Exist": {
"main": [
[
{
"node": "Only what we need",
"type": "main",
"index": 0
}
]
]
},
"Loop Over Attributes": {
"main": [
[
{
"node": "All Attributes",
"type": "main",
"index": 0
}
],
[
{
"node": "Split Out each Attribute String",
"type": "main",
"index": 0
}
]
]
},
"Merge Old Data + RecID": {
"main": [
[
{
"node": "Determine Attributes we should save",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "Retrieve and Parser Agent",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Check if Attribute exists": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
}
]
]
},
"Retrieve and Parser Agent": {
"main": [
[
{
"node": "JSON it",
"type": "main",
"index": 0
}
]
]
},
"Wait for Attribute Creation": {
"main": [
[
{
"node": "Change each Attribute to the corresponding RecID",
"type": "main",
"index": 0
}
]
]
},
"Generate Unique Hash for Name": {
"main": [
[
{
"node": "Create if not Exist",
"type": "main",
"index": 0
},
{
"node": "Merge Old Data + RecID",
"type": "main",
"index": 0
}
]
]
},
"Split Out each Attribute String": {
"main": [
[
{
"node": "Check if Attribute exists",
"type": "main",
"index": 0
},
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"Determine Similar we should save": {
"main": [
[
{
"node": "Save all this juicy data",
"type": "main",
"index": 0
}
]
]
},
"Generate Unique Hash for Similar": {
"main": [
[
{
"node": "It Should exists",
"type": "main",
"index": 0
}
]
]
},
"Determine Attributes we should save": {
"main": [
[
{
"node": "Split Out similar",
"type": "main",
"index": 0
},
{
"node": "Merge2",
"type": "main",
"index": 0
}
]
]
},
"Change each Smiliar to the corresponding RecID": {
"main": [
[
{
"node": "Determine Similar we should save",
"type": "main",
"index": 0
}
]
]
},
"Change each Attribute to the corresponding RecID": {
"main": [
[
{
"node": "Generate Unique Hash for Name",
"type": "main",
"index": 0
}
]
]
}
}
}Workflow n8n Airtable, extraction de données : pour qui est ce workflow ?
Ce workflow s'adresse principalement aux équipes de design et de marketing au sein des PME et des start-ups qui utilisent Airtable pour gérer leurs ressources. Un niveau technique intermédiaire est recommandé pour personnaliser et adapter le workflow à leurs besoins spécifiques.
Workflow n8n Airtable, extraction de données : problème résolu
Ce workflow résout le problème de la gestion manuelle des données liées aux logos générés par IA, qui peut être chronophage et sujet à des erreurs. En automatisant le processus d'extraction et de transfert des données vers Airtable, les utilisateurs peuvent éviter les doublons et garantir que toutes les informations sont correctement organisées. Le résultat est une base de données propre et accessible, facilitant la recherche et l'utilisation des logos.
Workflow n8n Airtable, extraction de données : étapes du workflow
Étape 1 : Le workflow est déclenché par la soumission d'un formulaire.
- Étape 1 : Les données du formulaire sont récupérées et analysées par un agent de traitement de langage.
- Étape 2 : Les données sont mises en forme en JSON pour une meilleure structure.
- Étape 3 : Une vérification est effectuée dans Airtable pour déterminer si les attributs existent déjà.
- Étape 4 : Si les attributs n'existent pas, ils sont créés dans Airtable.
- Étape 5 : Les données sont fusionnées pour associer chaque logo à son identifiant unique.
- Étape 6 : Les informations sont organisées et prêtes à être utilisées.
Workflow n8n Airtable, extraction de données : guide de personnalisation
Pour personnaliser ce workflow, commencez par ajuster le déclencheur de formulaire en fonction de vos besoins spécifiques. Modifiez les paramètres de l'agent de traitement de langage pour affiner l'analyse des données. Vous pouvez également adapter les colonnes et les tables dans Airtable pour correspondre à votre structure de données. Assurez-vous que les identifiants uniques sont correctement configurés pour éviter les doublons. Enfin, envisagez d'ajouter des noeuds supplémentaires pour intégrer d'autres outils ou services selon vos besoins.