Extraction structurée de données de recherche Brave (Bright Data MCP + Google Gemini)
Avancé
Ceci est unAI, Marketingworkflow d'automatisation du domainecontenant 24 nœuds.Utilise principalement des nœuds comme Set, Switch, Function, McpClient, HttpRequest, combinant la technologie d'intelligence artificielle pour une automatisation intelligente. Extraire des données structurées à partir de recherches Brave avec Bright Data MCP et Google Gemini
Prérequis
- •Peut nécessiter les informations d'identification d'authentification de l'API cible
- •Informations d'identification Google Sheets API
- •Clé API Google Gemini
Nœuds utilisés (24)
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
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"name": "Brave Search (Image,Video, News, All) and Structured Data Extract with Bright Data MCP & Google Gemini",
"tags": [
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"name": "Engineering",
"createdAt": "2025-04-09T01:31:00.558Z",
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"name": "Modèle de chat Google Gemini",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
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"parameters": {
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"parameters": {
"text": "=Extract structured data from the search result. \n\n{{ $json.search_response }}",
"promptType": "define",
"hasOutputParser": true
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{
"id": "b2cb439e-eccc-40ad-97db-265bcd9f7a73",
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"name": "search_base_url",
"type": "string",
"value": "https://search.brave.com/images"
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"parameters": {
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"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"search_results\": {\n \"type\": \"array\",\n \"description\": \"A list of search results related to the query.\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"title\": {\n \"type\": \"string\",\n \"description\": \"The title of the search result or webpage.\"\n },\n \"url\": {\n \"type\": \"string\",\n \"format\": \"uri\",\n \"description\": \"The URL of the result.\"\n },\n \"description\": {\n \"type\": \"string\",\n \"description\": \"A short description or snippet summarizing the content of the URL.\"\n }\n },\n \"required\": [\"title\", \"url\", \"description\"]\n }\n },\n \"related_queries\": {\n \"type\": \"array\",\n \"description\": \"A list of queries related to the original search, often used for refining or expanding the search.\",\n \"items\": {\n \"type\": \"string\"\n }\n }\n },\n \"required\": [\"search_results\"]\n}\n"
},
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{
"id": "919833cb-1add-4670-86a4-466f3df925f3",
"name": "Client Bright Data MCP pour la recherche d'images Brave",
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"parameters": {
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"toolParameters": "={\n \"url\": \"{{$json.search_base_url}}?q={{encodeURI($('Set the search criteria\\'s').item.json.search_query))}}\"\n} "
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"rightValue": "news"
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"name": "Définir la réponse de recherche",
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"value": "={{ $json.result.content[0].text }}"
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"content": "## Disclaimer\nThis template is only available on n8n self-hosted as it's making use of the community node for MCP Client."
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"content": "## LLM Usages\n\nGoogle Gemini LLM is being utilized for the structured data extraction handling."
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"content": "## Logo\n\n\n\n"
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"content": "## Note\n\nDeals with the Brave Search by leveraging the Bright Data MCP Client.\n\n**Please make sure to set the search type with videos, images, news, all based on your search input needs**\n\n**Please make sure to update the Initiate a Webhook Notification for the Structured Data node with the Webhook of your interest**"
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"parameters": {
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"Output": "={{ $json.output.search_results.toJsonString() }}"
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"cachedResultName": "Brave Search Results"
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}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 - Intelligence Artificielle, Marketing
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.
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Informations sur le workflow
Niveau de difficulté
Avancé
Nombre de nœuds24
Catégorie2
Types de nœuds12
Description de la difficulté
Auteur
Ranjan Dailata
@ranjancseA Professional based out of India specialized in handling AI-powered automations. Contact me at ranjancse@gmail.com
Liens externes
Voir sur n8n.io →
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