Bright Data zur Extraktion, Zusammenfassung und Analyse von Amazon-Preissenkungen nutzen
Experte
Dies ist ein AI, Marketing-Bereich Automatisierungsworkflow mit 26 Nodes. Hauptsächlich werden Set, Wait, Merge, SplitOut, McpClient und andere Nodes verwendet, kombiniert mit KI-Technologie für intelligente Automatisierung. Extrahieren, Zusammenfassen und Analysieren von Amazon-Preissenkungen mit Bright Data und Google Gemini
Voraussetzungen
- •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
- •Google Sheets API-Anmeldedaten
- •Google Gemini API Key
Verwendete Nodes (26)
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
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"name": "Extract, Summarize, Sentiment Analysis of Price Drops for Amazon Products via Bright Data",
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"name": "price_drop_url",
"type": "string",
"value": "https://camelcamelcamel.com/top_drops?t=daily"
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"height": 140,
"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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"parameters": {
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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 extraction of price drop information of ecommerce produce and scraping the site by leveraging the Bright Data MCP Client.\n\nThis workflow is also responsible for the structured data extraction, sentiment analysis and summarization of content.\n\n**Please make sure to set the input fields**"
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{
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"parameters": {
"text": "=Perform sentiment analysis of {{ $json.result.content[0].text }}",
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"parameters": {},
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{
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"name": "Google Sheets aktualisieren",
"type": "n8n-nodes-base.googleSheets",
"position": [
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"parameters": {
"columns": {
"value": {
"output": "={{ $json.data.toJsonString() }}"
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"sheetName": {
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"documentId": {
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"parameters": {
"url": "={{ $('Set input fields').item.json.webhook_notification_url }}",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "response",
"value": "={{ $json.data.toJsonString() }}"
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{
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{
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"name": "Strukturierter Ausgabe-Parser",
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"position": [
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"parameters": {
"jsonSchemaExample": "[{\n\"id\": \"unique_id\",\n\"title\": \n\"Atosa MBF8005GR 52″ Reach-In Refrigerator for Restaurant Deli Cafeteria Steak House | Top Mount Compressor, 43.2 Cu. Ft. | 2-Solid Swing Door, 6 Adjustable Epoxy Coated Shelves | Stainless Steel, 115v\",\n\"price\": \n\"$2,919.48\",\n\"savings\": \n\"Save 18% ($649.36)\",\n\"link\": \n\"https://camelcamelcamel.com/product/07BH0Y75B4KUYI1YP78IB/go?context=top%5Fdrops&ctx%5Fpid=94751977&ctx%5Fcid=-1&ctx%5Faid=-1&ctx%5Fact=buy&ctx%5Fsrc=buy-button&&sjc=1\"\n}]"
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"parameters": {
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"toolParameters": "={\n \"url\": \"{{ $json.price_drop_url }}\"\n} "
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"parameters": {
"toolName": "scrape_as_markdown",
"operation": "executeTool",
"toolParameters": "={\n \"url\": \"{{ $json.link }}\"\n} "
},
"credentials": {
"mcpClientApi": {
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"name": "MCP Client (STDIO) account"
}
},
"typeVersion": 1
},
{
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"name": "Aggregieren",
"type": "n8n-nodes-base.aggregate",
"position": [
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"parameters": {
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"aggregate": "aggregateAllItemData"
},
"typeVersion": 1
},
{
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"name": "Rekursiver Zeichen-Text-Splitter",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
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"parameters": {
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"chunkSize": 5000
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"content": "## Output Data Handling "
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"content": "## Loop and Extract Data\n\nPerform Summarization & Sentiment Analysis"
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}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 - Künstliche Intelligenz, Marketing
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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21 NodesRanjan Dailata
Künstliche Intelligenz
Mit Bright Data und Google Yelp-Geschäftsrezensionen extrahieren und zusammenfassen
Extrahieren und Zusammenfassen von Yelp-Geschäftsrezensionen mit Bright Data und Google Gemini
Set
Merge
Http Request
+
Set
Merge
Http Request
12 NodesRanjan Dailata
Künstliche Intelligenz
Brave Suche strukturierte Datenextraktion (Bright Data MCP + Google Gemini)
Extraktion von strukturierten Daten aus Brave Search mit Bright Data MCP und Google Gemini
Set
Switch
Function
+
Set
Switch
Function
24 NodesRanjan Dailata
Künstliche Intelligenz
LinkedIn-Web Scraping mit Bright Data MCP-Server und Google Gemini
Extrahieren und Konvertieren von LinkedIn-Daten mit Bright Data MCP Server und Google Gemini
Set
Code
Merge
+
Set
Code
Merge
20 NodesRanjan Dailata
Künstliche Intelligenz
Generierung von Firmengeschichten aus LinkedIn mit Bright Data und Google Gemini
Mit Bright Data und Google Gemini aus LinkedIn Unternehmensgeschichten erstellen
If
Set
Wait
+
If
Set
Wait
19 NodesRanjan Dailata
Vertrieb
Workflow-Informationen
Schwierigkeitsgrad
Experte
Anzahl der Nodes26
Kategorie2
Node-Typen17
Autor
Ranjan Dailata
@ranjancseA Professional based out of India specialized in handling AI-powered automations. Contact me at ranjancse@gmail.com
Externe Links
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