8
n8n Deutschamn8n.com

Etsy-Daten-Mining mit Bright Data-Scraping und Google Gemini

Experte

Dies ist ein Product, AI, Marketing-Bereich Automatisierungsworkflow mit 19 Nodes. Hauptsächlich werden Set, Function, SplitOut, HttpRequest, ManualTrigger und andere Nodes verwendet, kombiniert mit KI-Technologie für intelligente Automatisierung. Automatisierung der Etsy-Datenanalyse mit Bright Data-Scraping und Google Gemini

Voraussetzungen
  • •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
  • •OpenAI API Key
  • •Google Gemini API Key

Verwendete Nodes (19)

Set
Function
SplitOut
StickyNote
HttpRequest
ManualTrigger
ReadWriteFile
SplitInBatches
LmChatOpenAi
LmChatGoogleGemini
InformationExtractor

Kategorie

Produkt
Künstliche Intelligenz
Marketing
Workflow-Vorschau
Visualisierung der Node-Verbindungen, mit Zoom und Pan
React Flow
Workflow exportieren
Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n
{
  "id": "UuuCIDvTNnloIlvq",
  "meta": {
    "instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
    "templateCredsSetupCompleted": true
  },
  "name": "Automate Etsy Data Mining with Bright Data Scrape & 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": "f369feaf-4782-4411-9d08-fe91b9ffd97e",
      "name": "Bei Klick auf 'Workflow testen'",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        200,
        -555
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "231bae3c-c27e-49fc-b878-2d5cc1e14c5a",
      "name": "Haftnotiz",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        200,
        -1020
      ],
      "parameters": {
        "width": 400,
        "height": 300,
        "content": "## Note\n\nDeals with the Esty web scraping by utilizing the Bright Data Web Unlocker Product.\n\nThe Information Extraction node being used to demonstrate the usage of the N8N AI capabilities.\n\n**Please make sure to set the Indeed search query and update the Webhook Notification URL**"
      },
      "typeVersion": 1
    },
    {
      "id": "f568de40-b389-41f9-afe9-5e09a291c367",
      "name": "Haftnotiz 1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        640,
        -1020
      ],
      "parameters": {
        "width": 480,
        "height": 300,
        "content": "## LLM Usages\n\nGoogle Gemini Flash Exp model is being used.\n\nBasic LLM Chain Data Extractor."
      },
      "typeVersion": 1
    },
    {
      "id": "4f1db865-a0cb-4978-9c7d-fde448bd978a",
      "name": "Etsy-Suchabfrage setzen",
      "type": "n8n-nodes-base.set",
      "position": [
        420,
        -555
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "3aedba66-f447-4d7a-93c0-8158c5e795f9",
              "name": "url",
              "type": "string",
              "value": "https://www.etsy.com/search?q=wall+art+for+mum&order=date_desc&page=1&ref=pagination"
            },
            {
              "id": "4e7ee31d-da89-422f-8079-2ff2d357a0ba",
              "name": "zone",
              "type": "string",
              "value": "web_unlocker1"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "4cb51368-bb69-4d99-a0b6-e8e8013f1dfd",
      "name": "Etsy-Webanfrage durchführen",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        640,
        -680
      ],
      "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": "9fb7bdc5-ba64-4df4-89b4-a3207e7f6d0e",
      "name": "Google Gemini Chat-Modell",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        948,
        -460
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "1f95576d-e243-481d-9d5f-308764d8ea4b",
      "name": "Über Elemente iterieren",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        1460,
        -680
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "47f23aa1-63ee-49e3-a465-283c7ab71b76",
      "name": "Etsy-Webanfrage in Schleife durchführen",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1680,
        -560
      ],
      "parameters": {
        "url": "https://api.brightdata.com/request",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "sendHeaders": true,
        "authentication": "genericCredentialType",
        "bodyParameters": {
          "parameters": [
            {
              "name": "zone",
              "value": "=web_unlocker1"
            },
            {
              "name": "url",
              "value": "={{ $json.url }}&product=unlocker"
            },
            {
              "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": "0b5ea206-a5a0-49b5-8f53-10b4dec5806c",
      "name": "Webhook-Benachrichtigung für extrahierte Daten auslösen",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        2320,
        -560
      ],
      "parameters": {
        "url": "https://webhook.site/3c36d7d1-de1b-4171-9fd3-643ea2e4dd76",
        "options": {},
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "summary",
              "value": "={{ $json.output }}"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "a164b90b-f44c-4862-b010-d515926774c7",
      "name": "Artikelliste mit Produktinformationen extrahieren",
      "type": "@n8n/n8n-nodes-langchain.informationExtractor",
      "position": [
        1920,
        -560
      ],
      "parameters": {
        "text": "=Extract the product info in JSON\n\n{{ $json.data }}",
        "options": {},
        "schemaType": "fromJson",
        "jsonSchemaExample": "[{\n    \"image\": \"https://i.etsystatic.com/34923795/r/il/8f3bba/5855230678/il_fullxfull.5855230678_n9el.jpg\",\n    \"name\": \"Custom Coffee Mug with Photo\",\n    \"url\": \"https://www.etsy.com/listing/1193808036/custom-coffee-mug-with-photo\",\n    \"brand\": {\n        \"@type\": \"Brand\",\n        \"name\": \"TheGiftBucks\"\n    },\n    \"offers\": {\n        \"@type\": \"Offer\",\n        \"price\": \"14.99\",\n        \"priceCurrency\": \"USD\"\n    }\n}]"
      },
      "typeVersion": 1
    },
    {
      "id": "c3798c64-ac53-44c8-ba91-8fe33377113d",
      "name": "Google Gemini Chat-Modell für Produktinfo",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        2000,
        -300
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "11e4ae42-d2e1-4a4b-adcf-382f9e494431",
      "name": "Paginiertes Resultset extrahieren",
      "type": "@n8n/n8n-nodes-langchain.informationExtractor",
      "position": [
        860,
        -680
      ],
      "parameters": {
        "text": "=Analyze and Extract the below content. Make sure to produce a unique resultset. Exclude page_numbers which are not numbers.\n\n {{ $json.data }}",
        "options": {},
        "schemaType": "manual",
        "inputSchema": "{\n  \"$schema\": \"http://json-schema.org/schema#\",\n  \"title\": \"PagedResultSetSchema\",\n  \"type\": \"array\",\n  \"items\": {\n    \"type\": \"object\",\n    \"properties\": {\n      \"page_number\": {\n        \"type\": \"string\",\n        \"description\": \"Page number, typically a string (e.g., '1', '2', 'next').\"\n      },\n      \"url\": {\n        \"type\": \"string\",\n        \"format\": \"uri\",\n        \"description\": \"URL pointing to the page.\"\n      }\n    },\n    \"required\": [\"page_number\", \"url\"],\n    \"additionalProperties\": false\n  }\n}\n"
      },
      "typeVersion": 1
    },
    {
      "id": "28c1822b-d51c-4f8e-b98e-2e12324397be",
      "name": "Haftnotiz 2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1400,
        -780
      ],
      "parameters": {
        "color": 5,
        "width": 1340,
        "height": 620,
        "content": "## Loop and Perform Paginated Esty Data Extraction\n"
      },
      "typeVersion": 1
    },
    {
      "id": "d4f18f2b-9825-4320-addb-c02bfdc4da97",
      "name": "Gescrapte Inhalte auf Festplatte speichern",
      "type": "n8n-nodes-base.readWriteFile",
      "position": [
        2560,
        -760
      ],
      "parameters": {
        "options": {},
        "fileName": "=d:\\Esty-Scraped-Content-{{ $('Loop Over Items').item.json.page_number }}.json",
        "operation": "write"
      },
      "typeVersion": 1
    },
    {
      "id": "5555407d-c7dd-4e5c-83ab-ef6ba9c46da3",
      "name": "Binärdaten erstellen",
      "type": "n8n-nodes-base.function",
      "position": [
        2360,
        -760
      ],
      "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": "2f7a5fab-a2f4-422e-8f83-ce50fbe2a738",
      "name": "Aufteilen",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        1240,
        -680
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "output"
      },
      "typeVersion": 1
    },
    {
      "id": "3d7a8992-b8d4-4a86-b60b-a92a7d63e31b",
      "name": "Paginiertes Resultset mit OpenAI extrahieren",
      "type": "@n8n/n8n-nodes-langchain.informationExtractor",
      "position": [
        880,
        -120
      ],
      "parameters": {
        "text": "=Analyze and Extract the below content. Make sure to produce a unique resultset. Exclude page_numbers which are not numbers.\n\n {{ $json.data }}",
        "options": {},
        "schemaType": "manual",
        "inputSchema": "{\n  \"$schema\": \"http://json-schema.org/schema#\",\n  \"title\": \"PagedResultSetSchema\",\n  \"type\": \"array\",\n  \"items\": {\n    \"type\": \"object\",\n    \"properties\": {\n      \"page_number\": {\n        \"type\": \"string\",\n        \"description\": \"Page number, typically a string (e.g., '1', '2', 'next').\"\n      },\n      \"url\": {\n        \"type\": \"string\",\n        \"format\": \"uri\",\n        \"description\": \"URL pointing to the page.\"\n      }\n    },\n    \"required\": [\"page_number\", \"url\"],\n    \"additionalProperties\": false\n  }\n}\n"
      },
      "typeVersion": 1
    },
    {
      "id": "aa42d335-67bc-4dc5-a68a-4ce93e05464a",
      "name": "OpenAI Chat-Modell",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        880,
        80
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "vPKynKbDzJ5ZU4cU",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "82df0ccc-3065-4bb5-a48e-90e4dbf2162f",
      "name": "Haftnotiz 3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        640,
        -260
      ],
      "parameters": {
        "color": 6,
        "width": 660,
        "height": 460,
        "content": "## Open AI Extraction (Optional)\nNote - Replace the above workflow with the Open AI Chat Model if needed\nPlease make sure to set the OpenAI Chat Model -> Credential to connect with **OpenAi Account**"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "40a1bbd5-05b2-41c2-8b3c-72e3f16fd13a",
  "connections": {
    "2f7a5fab-a2f4-422e-8f83-ce50fbe2a738": {
      "main": [
        [
          {
            "node": "1f95576d-e243-481d-9d5f-308764d8ea4b",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "1f95576d-e243-481d-9d5f-308764d8ea4b": {
      "main": [
        [],
        [
          {
            "node": "47f23aa1-63ee-49e3-a465-283c7ab71b76",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "aa42d335-67bc-4dc5-a68a-4ce93e05464a": {
      "ai_languageModel": [
        [
          {
            "node": "3d7a8992-b8d4-4a86-b60b-a92a7d63e31b",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "5555407d-c7dd-4e5c-83ab-ef6ba9c46da3": {
      "main": [
        [
          {
            "node": "d4f18f2b-9825-4320-addb-c02bfdc4da97",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "4f1db865-a0cb-4978-9c7d-fde448bd978a": {
      "main": [
        [
          {
            "node": "4cb51368-bb69-4d99-a0b6-e8e8013f1dfd",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "9fb7bdc5-ba64-4df4-89b4-a3207e7f6d0e": {
      "ai_languageModel": [
        [
          {
            "node": "11e4ae42-d2e1-4a4b-adcf-382f9e494431",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "4cb51368-bb69-4d99-a0b6-e8e8013f1dfd": {
      "main": [
        [
          {
            "node": "11e4ae42-d2e1-4a4b-adcf-382f9e494431",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "11e4ae42-d2e1-4a4b-adcf-382f9e494431": {
      "main": [
        [
          {
            "node": "2f7a5fab-a2f4-422e-8f83-ce50fbe2a738",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "f369feaf-4782-4411-9d08-fe91b9ffd97e": {
      "main": [
        [
          {
            "node": "4f1db865-a0cb-4978-9c7d-fde448bd978a",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "47f23aa1-63ee-49e3-a465-283c7ab71b76": {
      "main": [
        [
          {
            "node": "a164b90b-f44c-4862-b010-d515926774c7",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "a164b90b-f44c-4862-b010-d515926774c7": {
      "main": [
        [
          {
            "node": "0b5ea206-a5a0-49b5-8f53-10b4dec5806c",
            "type": "main",
            "index": 0
          },
          {
            "node": "5555407d-c7dd-4e5c-83ab-ef6ba9c46da3",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "c3798c64-ac53-44c8-ba91-8fe33377113d": {
      "ai_languageModel": [
        [
          {
            "node": "a164b90b-f44c-4862-b010-d515926774c7",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "0b5ea206-a5a0-49b5-8f53-10b4dec5806c": {
      "main": [
        [
          {
            "node": "1f95576d-e243-481d-9d5f-308764d8ea4b",
            "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 - Produkt, 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.

Verwandte Workflows

Automatisierter Lebenslauf-Job-Matching-Engine mit Bright Data und OpenAI 4o mini
Die automatische Job-Matching-Engine für Lebensläufe von Bright Data MCP und OpenAI 4o mini
Set
Function
Split Out
+
Set
Function
Split Out
22 NodesRanjan Dailata
Personalwesen
DNB-Unternehmenssuche und -extraktion mit Bright Data und OpenAI 4o mini
DNB-Unternehmenssuche und -extraktion auf Basis von Bright Data und OpenAI 4o mini
Set
Function
Mcp Client
+
Set
Function
Mcp Client
18 NodesRanjan Dailata
Produkt
Markeninhalte mit Bright Data extrahieren, zusammenfassen und Sentiment-Analyse durchführen
Extrahierung und Analyse von Markeninhalten mit Bright Data und Google Gemini
Set
Function
Http Request
+
Set
Function
Http Request
23 NodesRanjan Dailata
Künstliche Intelligenz
Bright Data zur Extraktion, Zusammenfassung und Analyse von Amazon-Preissenkungen nutzen
Extrahieren, Zusammenfassen und Analysieren von Amazon-Preissenkungen mit Bright Data und Google Gemini
Set
Wait
Merge
+
Set
Wait
Merge
26 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
Google Trends-Datenextraktion mit Zusammenfassungs-Generierung durch Bright Data und Google Gemini
Google Trends Datenextraktion und Zusammenfassungserstellung mit Bright Data und Google Gemini
Set
Gmail
Function
+
Set
Gmail
Function
16 NodesRanjan Dailata
Engineering
Workflow-Informationen
Schwierigkeitsgrad
Experte
Anzahl der Nodes19
Kategorie3
Node-Typen11
Schwierigkeitsbeschreibung

Für fortgeschrittene Benutzer, komplexe Workflows mit 16+ Nodes

Autor
Ranjan Dailata

Ranjan Dailata

@ranjancse
Externe Links
Auf n8n.io ansehen →

Diesen Workflow teilen

Kategorien

Multimodales KI
1540
Künstliche Intelligenz
1108
Content-Erstellung
695
KI-Zusammenfassung
516
Marketing
419
KI-Chatbot
251
Engineering
241
Marktforschung
203
Verschiedenes
193
Sonstiges
176
Vertrieb
162
IT-Betrieb
156
Dokumentenextraktion
147
KI RAG
146
Bausteine
144
Soziale Medien
137
Lead-Generierung
125
Persönliche Produktivität
117
DevOps
111
Personalwesen
101
Support
97
Lead-Pflege
87
Kundenbeziehungsmanagement
82
Finanzen
81
Produkt
77
Support-Chatbot
76
Design
70
Ticketverwaltung
67
Sicherheitsbetrieb
57
Rechnungsverarbeitung
53
Krypto-Handel
49
Dateiverwaltung
39
Projektmanagement
35
Internes Wiki
32

Kategorien: 34