Produktrezension-Sentiment-Analyse
Experte
Dies ist ein Content Creation, Multimodal AI-Bereich Automatisierungsworkflow mit 21 Nodes. Hauptsächlich werden If, Wait, Telegram, EmailSend, HttpRequest und andere Nodes verwendet. Verwendung von Gemini AI zur Analyse von Produktrezensionen und zur Generierung von Verbesserungsvorschlägen
Voraussetzungen
- •Telegram Bot Token
- •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
- •Google Gemini API Key
Verwendete Nodes (21)
Kategorie
Workflow-Vorschau
Visualisierung der Node-Verbindungen, mit Zoom und Pan
Workflow exportieren
Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n
{
"id": "DySX4VwXkFHS2hBu",
"meta": {
"instanceId": "e2a1d0ec98fd0994972a016020dcf90b56d31fa85f2abd02801701fb8fc45e3d",
"templateCredsSetupCompleted": true
},
"name": "Product Review Sentiment Analysis",
"tags": [],
"nodes": [
{
"id": "470cda20-f5d6-42cf-9c7b-c177fc1b668e",
"name": "HTTP Request",
"type": "n8n-nodes-base.httpRequest",
"onError": "continueRegularOutput",
"position": [
768,
16
],
"parameters": {
"url": "https://api.browseract.com/v2/workflow/run-task",
"method": "POST",
"options": {},
"sendBody": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "workflow_id",
"value": "53146166844202600"
}
]
},
"genericAuthType": "httpBearerAuth"
},
"credentials": {
"httpBearerAuth": {
"id": "x2SDklVkEIBFM56U",
"name": "BrowserACtaPi"
}
},
"retryOnFail": true,
"typeVersion": 4.2,
"alwaysOutputData": true
},
{
"id": "dded721b-a8c2-45c8-945f-4d3b3c075590",
"name": "HTTP Request1",
"type": "n8n-nodes-base.httpRequest",
"position": [
1104,
0
],
"parameters": {
"url": "https://api.browseract.com/v2/workflow/get-task",
"options": {},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpBearerAuth",
"queryParameters": {
"parameters": [
{
"name": "=task_id",
"value": "={{ $json.id }}"
}
]
}
},
"credentials": {
"httpBearerAuth": {
"id": "x2SDklVkEIBFM56U",
"name": "BrowserACtaPi"
}
},
"typeVersion": 4.2
},
{
"id": "53cb4d92-892c-4129-af82-92518437f1ff",
"name": "Warten",
"type": "n8n-nodes-base.wait",
"position": [
1232,
224
],
"webhookId": "1d17d26d-ed09-4b4c-b3cc-3ea966dad986",
"parameters": {
"unit": "minutes",
"amount": 1
},
"typeVersion": 1.1
},
{
"id": "9448871f-3035-4ef4-8650-b1b5067cb6a5",
"name": "Warten1",
"type": "n8n-nodes-base.wait",
"position": [
896,
224
],
"webhookId": "6eb807a9-6f6f-4b28-a4ad-0a7bfb8122e8",
"parameters": {
"unit": "minutes",
"amount": 1
},
"typeVersion": 1.1
},
{
"id": "49194dea-48db-4279-b8d1-6894423cf13e",
"name": "Wenn",
"type": "n8n-nodes-base.if",
"position": [
896,
16
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "d48ae258-78a0-4b26-923d-2643b6b774c6",
"operator": {
"type": "object",
"operation": "notExists",
"singleValue": true
},
"leftValue": "={{ $json.error }}",
"rightValue": ""
},
{
"id": "3967a169-8432-45bd-8f89-08795fd12679",
"operator": {
"type": "string",
"operation": "notEquals"
},
"leftValue": "={{ $json.id }}",
"rightValue": "null"
}
]
}
},
"retryOnFail": false,
"typeVersion": 2.2
},
{
"id": "72bc73be-c64b-4a41-a94a-6d86e3f9424d",
"name": "Wenn1",
"type": "n8n-nodes-base.if",
"position": [
1232,
0
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "0347a2a2-eb32-414d-9494-4e648078cf40",
"operator": {
"type": "object",
"operation": "notExists",
"singleValue": true
},
"leftValue": "={{ $json.error }}",
"rightValue": ""
},
{
"id": "99f31959-6f27-40dd-97c3-6ff611da1e0b",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "finished"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "c2e08eb7-7d25-45c5-a9dc-a023de9df292",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1520,
-16
],
"parameters": {
"text": "=from the \n\n{{ $json.output.string }} \n\nyou can see teh reviews it contains list of map like this \n\n[\n{\n\"Name\":\n\"Rating\":\n\"Summary\":\n}\n]\n\nread every single item \"Summary\" Analyze them and after you finished generate improvement recommendations and send them into the output in text \n\ntry to send these recommendations to Telegram and email with further details.",
"options": {},
"promptType": "define"
},
"typeVersion": 2.2
},
{
"id": "7dbc8ef3-42f1-4567-8882-e9ad930e90a5",
"name": "Haftnotiz",
"type": "n8n-nodes-base.stickyNote",
"position": [
704,
-16
],
"parameters": {
"color": 5,
"width": 688,
"height": 432,
"content": ""
},
"typeVersion": 1
},
{
"id": "cb55770c-e747-415a-86b1-7245ec2b3f89",
"name": "E-Mail senden in Send Email",
"type": "n8n-nodes-base.emailSendTool",
"position": [
1728,
272
],
"webhookId": "0d59c517-f453-4b28-992f-e99bba556f30",
"parameters": {
"text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Text', ``, 'string') }}",
"options": {},
"subject": "Recomendation",
"toEmail": "test@gmail.com",
"fromEmail": "=test@Test",
"emailFormat": "text"
},
"credentials": {
"smtp": {
"id": "iIY5wE8mwPrmrM4E",
"name": "SMTP account"
}
},
"typeVersion": 2.1
},
{
"id": "476f23b0-a51d-4cb9-9d4f-b0d832dfdd89",
"name": "Textnachricht senden in Telegram",
"type": "n8n-nodes-base.telegramTool",
"position": [
1584,
272
],
"webhookId": "a2cc10bf-5895-4a74-9419-1ccf134be32a",
"parameters": {
"text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Text', ``, 'string') }}",
"chatId": "@shoaywbs",
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"id": "34LCOs7mfDx5vkSV",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "24c3f5f6-6222-4fba-949a-bbd5f5b8cb86",
"name": "E-Mail senden",
"type": "n8n-nodes-base.emailSend",
"position": [
2064,
-16
],
"webhookId": "77c42f78-1d9d-41e0-8486-c0d359f3b04b",
"parameters": {
"text": "={{ $('AI Agent').item.json.output }}",
"options": {},
"subject": "Recomendation",
"toEmail": "smj.kshp@gmail.com",
"fromEmail": "test@test",
"emailFormat": "text"
},
"credentials": {
"smtp": {
"id": "iIY5wE8mwPrmrM4E",
"name": "SMTP account"
}
},
"typeVersion": 2.1
},
{
"id": "8fc634eb-c46e-44d7-bc81-88987496988e",
"name": "Haftnotiz1",
"type": "n8n-nodes-base.stickyNote",
"position": [
1408,
-16
],
"parameters": {
"color": 4,
"width": 464,
"height": 432,
"content": ""
},
"typeVersion": 1
},
{
"id": "80e09f34-6ea7-40ed-9b92-22e73f05df5b",
"name": "Haftnotiz2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1888,
-16
],
"parameters": {
"color": 3,
"width": 384,
"content": ""
},
"typeVersion": 1
},
{
"id": "26ded3f0-8262-47f8-9fe4-4f9074d9ca8e",
"name": "Textnachricht senden1",
"type": "n8n-nodes-base.telegram",
"position": [
1936,
-16
],
"webhookId": "c4ea90ed-5510-4eae-a09b-a8505b592b41",
"parameters": {
"text": "=Recomendation : \n{{ $json.output }}",
"chatId": "@shoaywbs",
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"id": "34LCOs7mfDx5vkSV",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "ad8560fd-df86-4443-bd7a-05969a63f2a0",
"name": "Bei Klick auf 'Workflow ausführen'",
"type": "n8n-nodes-base.manualTrigger",
"position": [
496,
16
],
"parameters": {},
"typeVersion": 1
},
{
"id": "0184aa9b-e017-47eb-9043-97715c77de4c",
"name": "Google Gemini Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1440,
240
],
"parameters": {
"options": {}
},
"credentials": {
"googlePalmApi": {
"id": "G8YK0DTLFGi5n0WD",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "daf91d3f-e648-4ab1-a557-99503c134bd9",
"name": "Haftnotiz-Start",
"type": "n8n-nodes-base.stickyNote",
"position": [
-16,
-208
],
"parameters": {
"width": 460,
"height": 600,
"content": "## Try It Out!\n### This n8n template demonstrates how to perform product review sentiment analysis and generate improvement recommendations using an AI Agent.\n\n### How it works\n* The workflow is triggered manually.\n* An **HTTP Request** node starts a task with the BrowserAct API to scrape product reviews from a website.\n* An **If** node checks if the task was created successfully. If not, it waits and retries.\n* A second **HTTP Request** node retrieves the task results once the scraping is complete.\n* Another **If** node checks if the scraping task is finished. If not, it waits and retries.\n* The **AI Agent** node processes the scraped reviews, analyzes the sentiment of each review summary, and generates improvement recommendations.\n* The recommendations are then sent to a Telegram group and an email address using **Telegram** and **Email Send** nodes.\n\n### Requirements\n* **BrowserAct** API account\n* **Gemini** account for the AI Agent\n* **Telegram** and **SMTP** credentials for sending messages\n\n### Need Help?\nJoin the [Discord](https://discord.com/invite/UpnCKd7GaU) or Visit Our [Blog](https://www.browseract.com/blog)!\n\n"
},
"typeVersion": 1
},
{
"id": "3e5f6cdb-9721-43e8-88a8-bbd9d43577fa",
"name": "Haftnotiz-Scraping",
"type": "n8n-nodes-base.stickyNote",
"position": [
704,
-224
],
"parameters": {
"color": 5,
"width": 352,
"height": 200,
"content": "## 1. Trigger the Product Review Scraper\n\nThis workflow uses an HTTP Request to start a scraping task via the BrowserAct API. The task will scrape product reviews from a specified website. We're using a separate node for this to make it clean."
},
"typeVersion": 1
},
{
"id": "d718f4b5-ae07-4216-99a4-9436e6502ef8",
"name": "Haftnotiz-Warten",
"type": "n8n-nodes-base.stickyNote",
"position": [
1072,
-224
],
"parameters": {
"color": 5,
"width": 320,
"height": 200,
"content": "## 2. Wait for Scraping to Finish\n\nThese nodes check the status of the scraping task. The `If` node determines if the task is complete. If it's still running, the `Wait` node pauses the workflow for a set period before retrying to check the status."
},
"typeVersion": 1
},
{
"id": "dd2a6ca3-e361-4597-83b3-1da40e7313a5",
"name": "Haftnotiz3",
"type": "n8n-nodes-base.stickyNote",
"position": [
1408,
-224
],
"parameters": {
"color": 4,
"width": 464,
"height": 192,
"content": "## 3. Use an AI Agent to Analyze Reviews and Generate Recommendations\n[Read more about the AI Agent node](https://docs.n8n.io/integrations/builtin/ai/agent-nodes/n8n-nodes-langchain.agent/)\n\nThis node uses an AI Agent to perform a complex task: analyzing the sentiment of each product review summary and then generating actionable recommendations for improvement. It leverages a connected language model (Google Gemini) and can use other tools in the workflow to complete its task, such as sending emails and Telegram messages."
},
"typeVersion": 1
},
{
"id": "b311da33-c74e-4111-925a-c75220bba628",
"name": "Haftnotiz4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1888,
-208
],
"parameters": {
"color": 3,
"width": 384,
"height": 176,
"content": "## 4. Send the Recommendations via Email and Telegram\n[Read more about the Email Send node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.emailSend/)\n[Read more about the Telegram node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.telegram/)\n\nThe final output from the AI Agent is sent to the specified email and Telegram accounts, delivering the improvement recommendations directly to the relevant stakeholders."
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "de3a369b-c383-403e-abf0-0612e49b2b0e",
"connections": {
"49194dea-48db-4279-b8d1-6894423cf13e": {
"main": [
[
{
"node": "dded721b-a8c2-45c8-945f-4d3b3c075590",
"type": "main",
"index": 0
}
],
[
{
"node": "9448871f-3035-4ef4-8650-b1b5067cb6a5",
"type": "main",
"index": 0
}
]
]
},
"72bc73be-c64b-4a41-a94a-6d86e3f9424d": {
"main": [
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{
"node": "c2e08eb7-7d25-45c5-a9dc-a023de9df292",
"type": "main",
"index": 0
}
],
[
{
"node": "53cb4d92-892c-4129-af82-92518437f1ff",
"type": "main",
"index": 0
}
]
]
},
"53cb4d92-892c-4129-af82-92518437f1ff": {
"main": [
[
{
"node": "dded721b-a8c2-45c8-945f-4d3b3c075590",
"type": "main",
"index": 0
}
]
]
},
"9448871f-3035-4ef4-8650-b1b5067cb6a5": {
"main": [
[
{
"node": "470cda20-f5d6-42cf-9c7b-c177fc1b668e",
"type": "main",
"index": 0
}
]
]
},
"c2e08eb7-7d25-45c5-a9dc-a023de9df292": {
"main": [
[
{
"node": "26ded3f0-8262-47f8-9fe4-4f9074d9ca8e",
"type": "main",
"index": 0
}
]
]
},
"470cda20-f5d6-42cf-9c7b-c177fc1b668e": {
"main": [
[
{
"node": "49194dea-48db-4279-b8d1-6894423cf13e",
"type": "main",
"index": 0
}
]
]
},
"dded721b-a8c2-45c8-945f-4d3b3c075590": {
"main": [
[
{
"node": "72bc73be-c64b-4a41-a94a-6d86e3f9424d",
"type": "main",
"index": 0
}
]
]
},
"26ded3f0-8262-47f8-9fe4-4f9074d9ca8e": {
"main": [
[
{
"node": "24c3f5f6-6222-4fba-949a-bbd5f5b8cb86",
"type": "main",
"index": 0
}
]
]
},
"0184aa9b-e017-47eb-9043-97715c77de4c": {
"ai_languageModel": [
[
{
"node": "c2e08eb7-7d25-45c5-a9dc-a023de9df292",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"cb55770c-e747-415a-86b1-7245ec2b3f89": {
"ai_tool": [
[
{
"node": "c2e08eb7-7d25-45c5-a9dc-a023de9df292",
"type": "ai_tool",
"index": 0
}
]
]
},
"476f23b0-a51d-4cb9-9d4f-b0d832dfdd89": {
"ai_tool": [
[
{
"node": "c2e08eb7-7d25-45c5-a9dc-a023de9df292",
"type": "ai_tool",
"index": 0
}
]
]
},
"ad8560fd-df86-4443-bd7a-05969a63f2a0": {
"main": [
[
{
"node": "470cda20-f5d6-42cf-9c7b-c177fc1b668e",
"type": "main",
"index": 0
}
]
]
}
}
}Häufig gestellte Fragen
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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Workflow-Informationen
Schwierigkeitsgrad
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Anzahl der Nodes21
Kategorie2
Node-Typen11
Autor
Madame AI
@madame-aiI’m a PhD in Physics turned AI enthusiast, passionate about uncovering how AI is transforming content creation, business, and daily life.
Externe Links
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