Bright Data und Google Gemini für strukturierte Datenermittlung und -extraktion verwenden
Dies ist ein Content Creation, Multimodal AI-Bereich Automatisierungsworkflow mit 18 Nodes. Hauptsächlich werden Set, Function, HttpRequest, ManualTrigger, ReadWriteFile und andere Nodes verwendet. Mit Bright Data und Google Gemini Webdaten extrahieren und analysieren
- •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
- •Google Gemini API Key
Verwendete Nodes (18)
Kategorie
{
"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": "Bei Klick auf 'Workflow testen'",
"type": "n8n-nodes-base.manualTrigger",
"position": [
200,
-420
],
"parameters": {},
"typeVersion": 1
},
{
"id": "fd4ace46-7261-4380-8b65-1e00bb574f27",
"name": "Haftnotiz",
"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": "Haftnotiz1",
"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": "Markdown-zu-Text-Datenextraktor",
"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": "URL und Bright Data Zone festlegen",
"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": "Webhook-Benachrichtigung für Markdown-zu-Text-Datenextraktion auslösen",
"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": "Webhook-Benachrichtigung für KI-Sentimentanalyse auslösen",
"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": "Google Gemini Chat-Modell für Datenextraktion",
"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": "Google Gemini Chat-Modell für Sentimentanalyse",
"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": "Bright Data-Webanfrage durchführen",
"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": "Themenextraktor mit strukturierter Antwort",
"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": "Trends nach Ort und Kategorie mit strukturierter Antwort",
"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": "Google Gemini Chat-Modell",
"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": "Webhook-Benachrichtigung für Trends nach Ort und Kategorie auslösen",
"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": "Binärdatei für Themen erstellen",
"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": "Themendatei auf Datenträger schreiben",
"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": "Trenddatei auf Datenträger schreiben",
"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": "Binärdaten für Trends erstellen",
"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": {
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},
"b6a8cc64-c0c7-40dc-b7c1-0571baf3a0a9": {
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},
"cf1da0ee-bb78-4ea7-bb2d-f2f82f728b12": {
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},
"d38ca005-6ba3-4105-9fcd-058602ba16ce": {
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},
"c952ab41-66af-4b41-b04e-407816074c87": {
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},
"7fae589c-854d-429e-9e67-527a002fcabf": {
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},
"1e9038e6-9ebc-4460-bee2-3faea3b38f4c": {
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},
"9795ac80-6ded-465d-bfcf-0c6ce120452f": {
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},
{
"node": "8d15dca1-3014-405f-ac35-78d64eda1d07",
"type": "main",
"index": 0
},
{
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},
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"e15fb9ba-ea8f-41f0-9b99-437d14a98a7d": {
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},
{
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]
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},
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},
"e7f2b2c5-89ba-45c4-b7a4-297a159f8b39": {
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{
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"type": "main",
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]
]
}
}
}Wie verwende ich diesen Workflow?
Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.
Für welche Szenarien ist dieser Workflow geeignet?
Experte - Content-Erstellung, Multimodales KI
Ist es kostenpflichtig?
Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.
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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.
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