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Workflow automatisé avec 12 nodes incluant : stickyNote, webhook, @n8n/langchain.textSplitterCharacterTextSplitter, @n8...
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📋 Automatisez l'extraction et la synthèse de données d'entreprise avec n8n
💡 Description
Ce workflow innovant facilite l'extraction et la synthèse de données d'entreprise à partir de sites comme Indeed. En utilisant des outils avancés tels que Airtable, Bright Data et le modèle Google Gemini, il permet une automatisation fluide du processus de collecte, d'analyse et de diffusion des informations. Ce workflow est idéal pour les professionnels du RH ou du marketing cherchant à optimiser leur temps et à améliorer la précision des données collectées. Il assure une intégration harmonieuse entre différents services, garantissant un gain significatif en efficacité opérationnelle.
📈 Impact & ROI: Améliorez votre efficacité en automatisant la collecte et l'analyse des données, réduisant ainsi le temps passé sur les tâches manuelles tout en augmentant la précision des informations obtenues.
🚀 Fonctionnalités Clés
- ✅ Extraction automatisée de données d'entreprise depuis Indeed
- ✅ Synthèse des résultats avec Google Gemini pour une meilleure compréhension
- ✅ Intégration fluide avec Airtable pour la gestion des données
- ✅ Transmission automatisée des résultats via Webhook
📊 Architecture Technique
19
Nodes
Nodes
15
Connexions
Connexions
4
Services
Services
🔌 Services Intégrés
AirtableBright DataGoogle GeminiWebhook
🔧 Composition du Workflow
| Node | Type | Description |
|---|---|---|
| When clicking ‘Test workflow’ | manualTrigger | Traitement des données |
| Google Gemini Chat Model For Summarization | @n8n/n8n-nodes-langchain.lmChatGoogleGemini | Traitement des données |
| Webhook HTTP Request | @n8n/n8n-nodes-langchain.toolHttpRequest | Requête HTTP vers une API externe |
| Sticky Note | stickyNote | Traitement des données |
| Sticky Note1 | stickyNote | Traitement des données |
| Perform Indeed Web Request | httpRequest | Requête HTTP vers une API externe |
| Indeed Expert AI Agent | @n8n/n8n-nodes-langchain.agent | Traitement des données |
| Google Gemini Chat Model | @n8n/n8n-nodes-langchain.lmChatGoogleGemini | Traitement des données |
| Markdown to Textual Data Extractor | @n8n/n8n-nodes-langchain.chainLlm | Traitement des données |
| Convert Markdown to HTML | markdown | Traitement des données |
| Initiate a Webhook Notification for Markdown to HTML Response | httpRequest | Requête HTTP vers une API externe |
| Set Bright Data Zone | set | Traitement des données |
| Loop Over Items | splitInBatches | Division des données en plusieurs branches |
| Airtable | airtable | Traitement des données |
| If Link field is not empty | if | Condition logique pour router le flux |
| Wait | wait | Traitement des données |
| Indeed Summarizer | @n8n/n8n-nodes-langchain.chainSummarization | Traitement des données |
| Sticky Note2 | stickyNote | Traitement des données |
| Google Gemini Chat Model for AI Agent | @n8n/n8n-nodes-langchain.lmChatGoogleGemini | Traitement des données |
📖 Guide d'Implémentation
- Import du workflow: Téléchargez le fichier JSON et importez-le dans votre instance n8n
- Configuration des credentials: Configurez les accès pour chaque service utilisé
- Personnalisation: Adaptez les paramètres selon vos besoins spécifiques
- Test: Exécutez le workflow en mode test pour vérifier le bon fonctionnement
- Activation: Activez le workflow pour une exécution automatique
🏷️ Tags
Structure JSON
Voir le code JSON complet
{
"id": "TTj6BiN7bQKTa6FM",
"meta": {
"instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
"templateCredsSetupCompleted": true
},
"name": "Indeed Company Data Scraper & Summarization with Airtable, Bright Data and Google Gemini",
"tags": [
{
"id": "Kujft2FOjmOVQAmJ",
"name": "Engineering",
"createdAt": "2025-04-09T01:31:00.558Z",
"updatedAt": "2025-04-09T01:31:00.558Z"
},
{
"id": "ddPkw7Hg5dZhQu2w",
"name": "AI",
"createdAt": "2025-04-13T05:38:08.053Z",
"updatedAt": "2025-04-13T05:38:08.053Z"
},
{
"id": "rKOa98eAi3IETrLu",
"name": "HR",
"createdAt": "2025-04-13T04:59:30.580Z",
"updatedAt": "2025-04-13T04:59:30.580Z"
}
],
"nodes": [
{
"id": "390ebd32-6ce4-4894-9b4f-7b376db5b724",
"name": "When clicking ‘Test workflow’",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-220,
-545
],
"parameters": [],
"typeVersion": 1
},
{
"id": "8ba6b208-b4ad-443c-8b24-c51b3b5ad880",
"name": "Google Gemini Chat Model For Summarization",
"type": "@n8n\/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1784,
-300
],
"parameters": {
"options": [],
"modelName": "models\/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"id": "YeO7dHZnuGBVQKVZ",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "394a7291-618a-42f0-8e1b-18ed7c8496c3",
"name": "Webhook HTTP Request",
"type": "@n8n\/n8n-nodes-langchain.toolHttpRequest",
"position": [
2280,
-160
],
"parameters": {
"url": "https:\/\/webhook.site\/daf9d591-a130-4010-b1d3-0c66f8fcf467",
"method": "POST",
"sendBody": true,
"parametersBody": {
"values": [
{
"name": "search_summary",
"value": "={{ $json.response.text }}",
"valueProvider": "fieldValue"
},
{
"name": "search_result"
}
]
},
"toolDescription": "Extract the response and format a structured JSON response"
},
"typeVersion": 1.1
},
{
"id": "4e1352a5-0fa6-4fee-a93d-cc0a0a4fdd6f",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-240,
-1080
],
"parameters": {
"width": 400,
"height": 320,
"content": "## Note\n\nDeals with the Company web scraping by utilizing Bright Data Web Unlocker Product.\n\nThe Basic LLM Chain, Summarization and AI Agent are being used to demonstrate the usage of the n8n AI capabilities.\n\n**Please make sure to connect to Airtable with the Base Table as \"Indeed\" and the default Table1 filled with the indeed links to scrape. \n\nAlso make sure to update the Webhook Notification URL**"
},
"typeVersion": 1
},
{
"id": "bf184d27-ed62-44fa-bed2-65a1f703179e",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
720,
-1080
],
"parameters": {
"width": 480,
"height": 320,
"content": "## LLM Usages\n\nGoogle Gemini Flash Exp model is being used.\n\nBasic LLM Chain Data Extractor.\n\nSummarization Chain is being used for the summarization of search results.\n\nThe AI Agent formats the search result and pushes it to the Webhook via HTTP Request"
},
"typeVersion": 1
},
{
"id": "78f32ce2-1e79-4f3e-8561-4a5e07d88696",
"name": "Perform Indeed Web Request",
"type": "n8n-nodes-base.httpRequest",
"position": [
1100,
-670
],
"parameters": {
"url": "https:\/\/api.brightdata.com\/request",
"method": "POST",
"options": [],
"sendBody": true,
"sendHeaders": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "zone",
"value": "={{ $('Set Bright Data Zone').item.json.zone }}"
},
{
"name": "url",
"value": "=https:\/\/www.indeed.com\/cmp\/{{ encodeURI($('Airtable').item.json.Link) }}?product=unlocker&method=api"
},
{
"name": "format",
"value": "raw"
},
{
"name": "data_format",
"value": "markdown"
}
]
},
"genericAuthType": "httpHeaderAuth",
"headerParameters": {
"parameters": [
[]
]
}
},
"credentials": {
"httpHeaderAuth": {
"id": "kdbqXuxIR8qIxF7y",
"name": "Header Auth account"
}
},
"typeVersion": 4.2
},
{
"id": "3738e714-59aa-4b0b-876c-c2f15a1d7479",
"name": "Indeed Expert AI Agent",
"type": "@n8n\/n8n-nodes-langchain.agent",
"position": [
2072,
-395
],
"parameters": {
"text": "=You are an Indeed Expert. You need to format the search result and push it to the Webhook via HTTP Request. Here is the search result - {{ $('Markdown to Textual Data Extractor').item.json.text }}",
"options": [],
"promptType": "define"
},
"typeVersion": 1.8
},
{
"id": "47e96e87-8ac7-43d7-af6f-b52404be4eec",
"name": "Google Gemini Chat Model",
"type": "@n8n\/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1408,
-300
],
"parameters": {
"options": [],
"modelName": "models\/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"id": "YeO7dHZnuGBVQKVZ",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "b2b8f3f6-ef13-47ff-8e6e-4c262b352b2e",
"name": "Markdown to Textual Data Extractor",
"type": "@n8n\/n8n-nodes-langchain.chainLlm",
"position": [
1320,
-520
],
"parameters": {
"text": "=You need to analyze the below markdown and convert to textual data.\n\n{{ $json.data }}",
"messages": {
"messageValues": [
{
"message": "You are a markdown expert"
}
]
},
"promptType": "define"
},
"typeVersion": 1.6
},
{
"id": "791d5991-0baa-4aff-8dbe-465c1335889f",
"name": "Convert Markdown to HTML",
"type": "n8n-nodes-base.markdown",
"position": [
1398,
-820
],
"parameters": {
"mode": "markdownToHtml",
"options": [],
"markdown": "={{ $json.data }}"
},
"typeVersion": 1
},
{
"id": "844c49a6-edd0-4a63-944e-44310e39ab09",
"name": "Initiate a Webhook Notification for Markdown to HTML Response",
"type": "n8n-nodes-base.httpRequest",
"position": [
1774,
-820
],
"parameters": {
"url": "https:\/\/webhook.site\/daf9d591-a130-4010-b1d3-0c66f8fcf467",
"options": [],
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "html_response",
"value": "={{ $json.data }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "cb7b971d-17a9-4b49-8807-7a9d4f7550d2",
"name": "Set Bright Data Zone",
"type": "n8n-nodes-base.set",
"position": [
0,
-545
],
"parameters": {
"options": [],
"assignments": {
"assignments": [
{
"id": "4e7ee31d-da89-422f-8079-2ff2d357a0ba",
"name": "zone",
"type": "string",
"value": "web_unlocker1"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "47702b8b-5722-4fe0-93fc-950470b043c8",
"name": "Loop Over Items",
"type": "n8n-nodes-base.splitInBatches",
"position": [
440,
-545
],
"parameters": {
"options": []
},
"typeVersion": 3
},
{
"id": "cb42b109-0950-45cb-ae74-3a87b724f6fc",
"name": "Airtable",
"type": "n8n-nodes-base.airtable",
"position": [
220,
-545
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "appHnxLQRVHbCzDyj",
"cachedResultUrl": "https:\/\/airtable.com\/appHnxLQRVHbCzDyj",
"cachedResultName": "Indeed"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tblS1f5XWVMfdyjOz",
"cachedResultUrl": "https:\/\/airtable.com\/appHnxLQRVHbCzDyj\/tblS1f5XWVMfdyjOz",
"cachedResultName": "Table 1"
},
"options": [],
"operation": "search"
},
"credentials": {
"airtableTokenApi": {
"id": "yXTVs1Lgka4VUTCB",
"name": "Airtable Personal Access Token account"
}
},
"typeVersion": 2.1
},
{
"id": "faf3d158-e625-4829-8e90-2549d747e674",
"name": "If Link field is not empty",
"type": "n8n-nodes-base.if",
"position": [
880,
-670
],
"parameters": {
"options": [],
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "42eae1de-1d71-4418-862d-9cb9f8fb44e6",
"operator": {
"type": "string",
"operation": "notEmpty",
"singleValue": true
},
"leftValue": "={{ $json.Link }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "d81941a5-b267-4cac-9134-42caac9948ef",
"name": "Wait",
"type": "n8n-nodes-base.wait",
"position": [
660,
-670
],
"webhookId": "f348d66e-ee91-40d4-8e52-83d8d3ca32f2",
"parameters": {
"amount": 10
},
"typeVersion": 1.1
},
{
"id": "6903a767-ab81-4a01-8b98-914afab45c63",
"name": "Indeed Summarizer",
"type": "@n8n\/n8n-nodes-langchain.chainSummarization",
"position": [
1696,
-520
],
"parameters": {
"options": []
},
"typeVersion": 2
},
{
"id": "1cd297e9-30b9-4cb3-b2b4-96bc1e3e9d95",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
200,
-1080
],
"parameters": {
"width": 480,
"height": 320,
"content": "## Airtable Table Data Sample \n[\n {\n \"id\": \"recCDNhVfdlc97cgf\",\n \"createdTime\": \"2025-04-14T02:55:31.000Z\",\n \"Tab\": \"Starbucks\",\n \"Link\": \"https:\/\/www.indeed.com\/cmp\/Starbucks\"\n },\n {\n \"id\": \"recR7VEJrwXX7XjVl\",\n \"createdTime\": \"2025-04-14T02:55:31.000Z\",\n \"Tab\": \"BrightData\",\n \"Link\": \"https:\/\/www.indeed.com\/cmp\/bright-data\"\n }\n]"
},
"typeVersion": 1
},
{
"id": "d125e31f-845b-498e-9b3c-e5e8c14ed166",
"name": "Google Gemini Chat Model for AI Agent",
"type": "@n8n\/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
2080,
-160
],
"parameters": {
"options": [],
"modelName": "models\/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"id": "YeO7dHZnuGBVQKVZ",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
}
],
"active": false,
"pinData": [],
"settings": {
"executionOrder": "v1"
},
"versionId": "98d3cc1a-123e-468e-814f-7a96d38b8e36",
"connections": {
"Wait": {
"main": [
[
{
"node": "If Link field is not empty",
"type": "main",
"index": 0
}
]
]
},
"Airtable": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Loop Over Items": {
"main": [
[],
[
{
"node": "Wait",
"type": "main",
"index": 0
}
]
]
},
"Indeed Summarizer": {
"main": [
[
{
"node": "Indeed Expert AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Set Bright Data Zone": {
"main": [
[
{
"node": "Airtable",
"type": "main",
"index": 0
}
]
]
},
"Webhook HTTP Request": {
"ai_tool": [
[
{
"node": "Indeed Expert AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Indeed Expert AI Agent": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Convert Markdown to HTML": {
"main": [
[
{
"node": "Initiate a Webhook Notification for Markdown to HTML Response",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "Markdown to Textual Data Extractor",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"If Link field is not empty": {
"main": [
[
{
"node": "Perform Indeed Web Request",
"type": "main",
"index": 0
}
]
]
},
"Perform Indeed Web Request": {
"main": [
[
{
"node": "Markdown to Textual Data Extractor",
"type": "main",
"index": 0
},
{
"node": "Convert Markdown to HTML",
"type": "main",
"index": 0
}
]
]
},
"When clicking ‘Test workflow’": {
"main": [
[
{
"node": "Set Bright Data Zone",
"type": "main",
"index": 0
}
]
]
},
"Markdown to Textual Data Extractor": {
"main": [
[
{
"node": "Indeed Summarizer",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model for AI Agent": {
"ai_languageModel": [
[
{
"node": "Indeed Expert AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Google Gemini Chat Model For Summarization": {
"ai_languageModel": [
[
{
"node": "Indeed Summarizer",
"type": "ai_languageModel",
"index": 0
}
]
]
}
}
}
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