Extraction et fouille de données structurées avec Bright Data et Google Gemini
Avancé
Ceci est unContent Creation, Multimodal AIworkflow d'automatisation du domainecontenant 18 nœuds.Utilise principalement des nœuds comme Set, Function, HttpRequest, ManualTrigger, ReadWriteFile. Extraire et analyser des données web avec Bright Data et Google Gemini
Prérequis
- •Peut nécessiter les informations d'identification d'authentification de l'API cible
- •Clé API Google Gemini
Nœuds utilisés (18)
Catégorie
Aperçu du workflow
Visualisation des connexions entre les nœuds, avec support du zoom et du déplacement
Exporter le workflow
Copiez la configuration JSON suivante dans n8n pour importer et utiliser ce workflow
{
"id": "1GOrjyc9mtZCMvCr",
"meta": {
"instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
"templateCredsSetupCompleted": true
},
"name": "Structured Data Extract, Data Mining with Bright Data & 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"
}
],
"nodes": [
{
"id": "1e9038e6-9ebc-4460-bee2-3faea3b38f4c",
"name": "Lors du clic sur 'Tester le workflow'",
"type": "n8n-nodes-base.manualTrigger",
"position": [
200,
-420
],
"parameters": {},
"typeVersion": 1
},
{
"id": "fd4ace46-7261-4380-8b65-1e00bb574f27",
"name": "Note adhésive",
"type": "n8n-nodes-base.stickyNote",
"position": [
200,
-780
],
"parameters": {
"width": 400,
"height": 300,
"content": "## Note\n\nThis workflow deals with the structured data extraction by utilizing Bright Data Web Unlocker Product.\n\nThe Basic LLM Chain, Information Extraction, are being used to demonstrate the usage of the N8N AI capabilities.\n\n**Please make sure to set the web URL of your interest within the \"Set URL and Bright Data Zone\" node and update the Webhook Notification URL**"
},
"typeVersion": 1
},
{
"id": "1c1dd10f-beb2-4cc7-9118-77efd3172651",
"name": "Note adhésive 1",
"type": "n8n-nodes-base.stickyNote",
"position": [
620,
-780
],
"parameters": {
"width": 480,
"height": 300,
"content": "## LLM Usages\n\nGoogle Gemini Flash Exp model is being used.\n\nBasic LLM Chain Data Extractor.\n\nInformation Extraction is being used for the handling the custom sentiment analysis with the structured response."
},
"typeVersion": 1
},
{
"id": "9795ac80-6ded-465d-bfcf-0c6ce120452f",
"name": "Extracteur de données textuelles depuis Markdown",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
860,
-420
],
"parameters": {
"text": "=You need to analyze the below markdown and convert to textual data. Please do not output with your own thoughts. Make sure to output with textual data only with no links, scripts, css etc.\n\n{{ $json.data }}",
"messages": {
"messageValues": [
{
"message": "You are a markdown expert"
}
]
},
"promptType": "define"
},
"typeVersion": 1.6
},
{
"id": "b6a8cc64-c0c7-40dc-b7c1-0571baf3a0a9",
"name": "Définir l'URL et la zone Bright Data",
"type": "n8n-nodes-base.set",
"position": [
420,
-420
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "3aedba66-f447-4d7a-93c0-8158c5e795f9",
"name": "url",
"type": "string",
"value": "https://www.bbc.com/news/world"
},
{
"id": "4e7ee31d-da89-422f-8079-2ff2d357a0ba",
"name": "zone",
"type": "string",
"value": "web_unlocker1"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "8d15dca1-3014-405f-ac35-78d64eda1d07",
"name": "Initier une notification Webhook pour l'extraction de données textuelles depuis Markdown",
"type": "n8n-nodes-base.httpRequest",
"position": [
1314,
-720
],
"parameters": {
"url": "https://webhook.site/3c36d7d1-de1b-4171-9fd3-643ea2e4dd76",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "content",
"value": "={{ $json.text }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "fff9e2d1-f3e2-47c3-8c3a-f9de8dbdee6a",
"name": "Initier une notification Webhook pour l'analyseur de sentiment IA",
"type": "n8n-nodes-base.httpRequest",
"position": [
1612,
80
],
"parameters": {
"url": "https://webhook.site/3c36d7d1-de1b-4171-9fd3-643ea2e4dd76",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "summary",
"value": "={{ $json.output }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "40c82a76-1710-4e57-8123-9c9fbc729110",
"name": "Modèle de chat Google Gemini pour l'extraction de données",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
948,
-200
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"id": "YeO7dHZnuGBVQKVZ",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "0c1da174-9b9c-4067-9b2c-fa0cc8c33dc8",
"name": "Modèle de chat Google Gemini pour l'analyseur de sentiment",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1324,
200
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"id": "YeO7dHZnuGBVQKVZ",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "7fae589c-854d-429e-9e67-527a002fcabf",
"name": "Exécuter la requête web Bright Data",
"type": "n8n-nodes-base.httpRequest",
"position": [
640,
-420
],
"parameters": {
"url": "https://api.brightdata.com/request",
"method": "POST",
"options": {},
"sendBody": true,
"sendHeaders": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "zone",
"value": "={{ $json.zone }}"
},
{
"name": "url",
"value": "={{ $json.url }}?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": "e15fb9ba-ea8f-41f0-9b99-437d14a98a7d",
"name": "Extracteur de thèmes avec la réponse structurée",
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"position": [
1236,
-20
],
"parameters": {
"text": "=Perform the topic analysis on the below content and output with the structured information.\n\nHere's the content:\n\n{{ $('Perform Bright Data Web Request').item.json.data }}",
"options": {
"systemPromptTemplate": "You are an expert data analyst."
},
"schemaType": "manual",
"inputSchema": "{\n \"$schema\": \"http://json-schema.org/draft-07/schema#\",\n \"title\": \"TopicModelingResponseArray\",\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"topic\": {\n \"type\": \"string\",\n \"description\": \"The identified topic or theme derived from the input text.\"\n },\n \"score\": {\n \"type\": \"number\",\n \"minimum\": 0,\n \"maximum\": 1,\n \"description\": \"Confidence score representing how strongly this topic is reflected in the content.\"\n },\n \"summary\": {\n \"type\": \"string\",\n \"description\": \"Brief explanation of the topic’s context within the text.\"\n },\n \"keywords\": {\n \"type\": \"array\",\n \"description\": \"List of keywords associated with the topic.\",\n \"items\": {\n \"type\": \"string\"\n }\n }\n },\n \"required\": [\"topic\", \"score\", \"summary\", \"keywords\"],\n \"additionalProperties\": false\n }\n}\n"
},
"typeVersion": 1
},
{
"id": "e7f2b2c5-89ba-45c4-b7a4-297a159f8b39",
"name": "Tendances par localisation et catégorie avec la réponse structurée",
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"position": [
1236,
-520
],
"parameters": {
"text": "=Perform the data analysis on the below content and output with the structured information by clustering the emerging trends by location and category\n\nHere's the content:\n\n{{ $('Perform Bright Data Web Request').item.json.data }}",
"options": {
"systemPromptTemplate": "You are an expert data analyst."
},
"schemaType": "manual",
"inputSchema": "{\n \"$schema\": \"http://json-schema.org/draft-07/schema#\",\n \"title\": \"EmergingTrendsClusteredByLocationAndCategory\",\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"location\": {\n \"type\": \"string\",\n \"description\": \"Geographical region or city where the trend is observed.\"\n },\n \"category\": {\n \"type\": \"string\",\n \"description\": \"Domain or industry related to the trend (e.g., Technology, Finance, Healthcare).\"\n },\n \"trends\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"trend\": {\n \"type\": \"string\",\n \"description\": \"A concise label for the emerging trend.\"\n },\n \"score\": {\n \"type\": \"number\",\n \"minimum\": 0,\n \"maximum\": 1,\n \"description\": \"Confidence or prominence score of the trend.\"\n },\n \"summary\": {\n \"type\": \"string\",\n \"description\": \"Short explanation describing the context and impact of the trend.\"\n },\n \"mentions\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"string\"\n },\n \"description\": \"Keywords or phrases that commonly co-occur with the trend.\"\n }\n },\n \"required\": [\"trend\", \"score\", \"summary\", \"mentions\"],\n \"additionalProperties\": false\n }\n }\n },\n \"required\": [\"location\", \"category\", \"trends\"],\n \"additionalProperties\": false\n }\n}\n"
},
"typeVersion": 1
},
{
"id": "92203e9f-cf13-435e-bf78-3c39a6e1e6f6",
"name": "Modèle de chat Google Gemini",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1324,
-300
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"id": "YeO7dHZnuGBVQKVZ",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "1a252b74-6768-41a6-99dd-090e35c47065",
"name": "Initier une notification Webhook pour les tendances par localisation et catégorie",
"type": "n8n-nodes-base.httpRequest",
"position": [
1612,
-320
],
"parameters": {
"url": "https://webhook.site/3c36d7d1-de1b-4171-9fd3-643ea2e4dd76",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "summary",
"value": "={{ $json.output }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "c952ab41-66af-4b41-b04e-407816074c87",
"name": "Créer un fichier binaire pour les thèmes",
"type": "n8n-nodes-base.function",
"position": [
1612,
-120
],
"parameters": {
"functionCode": "items[0].binary = {\n data: {\n data: new Buffer(JSON.stringify(items[0].json, null, 2)).toString('base64')\n }\n};\nreturn items;"
},
"typeVersion": 1
},
{
"id": "2cf80339-0927-4f48-a13a-c610eaf4edca",
"name": "Écrire le fichier de thèmes sur le disque",
"type": "n8n-nodes-base.readWriteFile",
"position": [
1820,
-120
],
"parameters": {
"options": {},
"fileName": "d:\\topics.json",
"operation": "write"
},
"typeVersion": 1
},
{
"id": "cf1da0ee-bb78-4ea7-bb2d-f2f82f728b12",
"name": "Écrire le fichier de tendances sur le disque",
"type": "n8n-nodes-base.readWriteFile",
"position": [
1832,
-520
],
"parameters": {
"options": {},
"fileName": "d:\\trends.json",
"operation": "write"
},
"typeVersion": 1
},
{
"id": "d38ca005-6ba3-4105-9fcd-058602ba16ce",
"name": "Créer des données binaires pour les tendances",
"type": "n8n-nodes-base.function",
"position": [
1612,
-520
],
"parameters": {
"functionCode": "items[0].binary = {\n data: {\n data: new Buffer(JSON.stringify(items[0].json, null, 2)).toString('base64')\n }\n};\nreturn items;"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "6a81579d-1f3b-4ea2-821b-fff07b32ee7d",
"connections": {
"92203e9f-cf13-435e-bf78-3c39a6e1e6f6": {
"ai_languageModel": [
[
{
"node": "e7f2b2c5-89ba-45c4-b7a4-297a159f8b39",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"b6a8cc64-c0c7-40dc-b7c1-0571baf3a0a9": {
"main": [
[
{
"node": "7fae589c-854d-429e-9e67-527a002fcabf",
"type": "main",
"index": 0
}
]
]
},
"cf1da0ee-bb78-4ea7-bb2d-f2f82f728b12": {
"main": [
[]
]
},
"d38ca005-6ba3-4105-9fcd-058602ba16ce": {
"main": [
[
{
"node": "cf1da0ee-bb78-4ea7-bb2d-f2f82f728b12",
"type": "main",
"index": 0
}
]
]
},
"c952ab41-66af-4b41-b04e-407816074c87": {
"main": [
[
{
"node": "2cf80339-0927-4f48-a13a-c610eaf4edca",
"type": "main",
"index": 0
}
]
]
},
"7fae589c-854d-429e-9e67-527a002fcabf": {
"main": [
[
{
"node": "9795ac80-6ded-465d-bfcf-0c6ce120452f",
"type": "main",
"index": 0
}
]
]
},
"1e9038e6-9ebc-4460-bee2-3faea3b38f4c": {
"main": [
[
{
"node": "b6a8cc64-c0c7-40dc-b7c1-0571baf3a0a9",
"type": "main",
"index": 0
}
]
]
},
"9795ac80-6ded-465d-bfcf-0c6ce120452f": {
"main": [
[
{
"node": "e15fb9ba-ea8f-41f0-9b99-437d14a98a7d",
"type": "main",
"index": 0
},
{
"node": "8d15dca1-3014-405f-ac35-78d64eda1d07",
"type": "main",
"index": 0
},
{
"node": "e7f2b2c5-89ba-45c4-b7a4-297a159f8b39",
"type": "main",
"index": 0
}
]
]
},
"40c82a76-1710-4e57-8123-9c9fbc729110": {
"ai_languageModel": [
[
{
"node": "9795ac80-6ded-465d-bfcf-0c6ce120452f",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"e15fb9ba-ea8f-41f0-9b99-437d14a98a7d": {
"main": [
[
{
"node": "fff9e2d1-f3e2-47c3-8c3a-f9de8dbdee6a",
"type": "main",
"index": 0
},
{
"node": "c952ab41-66af-4b41-b04e-407816074c87",
"type": "main",
"index": 0
}
]
]
},
"0c1da174-9b9c-4067-9b2c-fa0cc8c33dc8": {
"ai_languageModel": [
[
{
"node": "e15fb9ba-ea8f-41f0-9b99-437d14a98a7d",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"e7f2b2c5-89ba-45c4-b7a4-297a159f8b39": {
"main": [
[
{
"node": "1a252b74-6768-41a6-99dd-090e35c47065",
"type": "main",
"index": 0
},
{
"node": "d38ca005-6ba3-4105-9fcd-058602ba16ce",
"type": "main",
"index": 0
}
]
]
}
}
}Foire aux questions
Comment utiliser ce workflow ?
Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.
Dans quelles scénarios ce workflow est-il adapté ?
Avancé - Création de contenu, IA Multimodale
Est-ce payant ?
Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.
Workflows recommandés
Printify Automation - Mettre à jour les titres et les descriptions - AlexK1919
Génération automatique de titres et de descriptions de produits SEO pour Printify avec GPT-4o-mini
If
Set
Code
+
If
Set
Code
26 NœudsAmit Mehta
Création de contenu
WordPress - Générer et publier automatiquement des articles SEO
Génération automatique d'articles SEO dans WordPress avec Gemini AI et images OpenAI
Set
Telegram
Wordpress
+
Set
Telegram
Wordpress
18 NœudsAgent Circle
Création de contenu
Générer automatiquement des publications de médias sociaux à partir d'URL en utilisant l'IA, Telegram et une publication multiplateforme
Génération automatique de publications de médias sociaux avec AI, Telegram et publication multiplateforme à partir d'URL
If
Set
Code
+
If
Set
Code
42 NœudsKarol
Création de contenu
En direct - Automatisation de la création et de la publication de vidéos virales AI avec Gemini et Creatomate
Utiliser Gemini et Creatomate pour automatiser la création de vidéos IA et leur publication multiplateforme
Set
Code
Wait
+
Set
Code
Wait
47 NœudsIntuz
Création de contenu
WordPress + Médias sociaux
Création et publication automatisées de blogs sur plusieurs plateformes, basées sur GPT/Gemini et WordPress
If
Set
Switch
+
If
Set
Switch
44 NœudsKhairul Muhtadin
Création de contenu
Moteur automatisé de contenu viral pour LinkedIn et X
Création et publication automatique de contenu viral pour LinkedIn et X avec l'IA
If
Set
Wait
+
If
Set
Wait
156 NœudsDiptamoy Barman
Création de contenu
Informations sur le workflow
Niveau de difficulté
Avancé
Nombre de nœuds18
Catégorie2
Types de nœuds9
Description de la difficulté
Auteur
Amit Mehta
@amitswbaI'm a workflow automation expert with 15+ years in IT industry. I build smart, scalable n8n workflows for AI automation, marketing, CRM, and SaaS integrations. My focus is on simplifying business processes with tools like OpenAI, WhatsApp, Gmail, and Airtable. I help teams and solopreneurs automate smarter, reduce manual tasks, and grow faster—one workflow at a time.
Liens externes
Voir sur n8n.io →
Partager ce workflow