Optimiser la gestion des litiges administratifs avec l’automatisation

Les litiges administratifs nécessitent un suivi précis pour éviter les pertes de droits ou de chiffre d’affaires. L’automatisation permet de centraliser chaque dossier, d’archiver les pièces justificatives, de programmer des rappels pour chaque étape et de suivre les plans d’action jusqu’à la résolution. Ce système renforce la sécurité juridique, facilite les audits et réduit les délais de traitement des dossiers litigieux.

				
					{
  "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": "When clicking u2018Test workflowu2019",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        200,
        -555
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "231bae3c-c27e-49fc-b878-2d5cc1e14c5a",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        200,
        -1020
      ],
      "parameters": {
        "width": 400,
        "height": 300,
        "content": "## NotennDeals with the Esty web scraping by utilizing the Bright Data Web Unlocker Product.nnThe Information Extraction node being used to demonstrate the usage of the N8N AI capabilities.nn**Please make sure to set the Indeed search query and update the Webhook Notification URL**"
      },
      "typeVersion": 1
    },
    {
      "id": "f568de40-b389-41f9-afe9-5e09a291c367",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        640,
        -1020
      ],
      "parameters": {
        "width": 480,
        "height": 300,
        "content": "## LLM UsagesnnGoogle Gemini Flash Exp model is being used.nnBasic LLM Chain Data Extractor."
      },
      "typeVersion": 1
    },
    {
      "id": "4f1db865-a0cb-4978-9c7d-fde448bd978a",
      "name": "Set Esty Search Query",
      "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": "Perform Esty Web Request",
      "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 Model",
      "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": "Loop Over Items",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        1460,
        -680
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "47f23aa1-63ee-49e3-a465-283c7ab71b76",
      "name": "Perform Esty web request over the loop",
      "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": "Initiate a Webhook Notification for the extracted data",
      "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": "Extract Item List with the Product Info",
      "type": "@n8n/n8n-nodes-langchain.informationExtractor",
      "position": [
        1920,
        -560
      ],
      "parameters": {
        "text": "=Extract the product info in JSONnn{{ $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 Model for product info",
      "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": "Extract Paginated Resultset",
      "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.nn {{ $json.data }}",
        "options": {},
        "schemaType": "manual",
        "inputSchema": "{n  "$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": falsen  }n}n"
      },
      "typeVersion": 1
    },
    {
      "id": "28c1822b-d51c-4f8e-b98e-2e12324397be",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1400,
        -780
      ],
      "parameters": {
        "color": 5,
        "width": 1340,
        "height": 620,
        "content": "## Loop and Perform Paginated Esty Data Extractionn"
      },
      "typeVersion": 1
    },
    {
      "id": "d4f18f2b-9825-4320-addb-c02bfdc4da97",
      "name": "Write the scraped content to disk",
      "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": "Create a binary data",
      "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": "Split Out",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        1240,
        -680
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "output"
      },
      "typeVersion": 1
    },
    {
      "id": "3d7a8992-b8d4-4a86-b60b-a92a7d63e31b",
      "name": "Extract Paginated Resultset With OpenAI",
      "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.nn {{ $json.data }}",
        "options": {},
        "schemaType": "manual",
        "inputSchema": "{n  "$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": falsen  }n}n"
      },
      "typeVersion": 1
    },
    {
      "id": "aa42d335-67bc-4dc5-a68a-4ce93e05464a",
      "name": "OpenAI Chat Model",
      "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": "Sticky Note3",
      "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 needednPlease 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": {
    "Split Out": {
      "main": [
        [
          {
            "node": "Loop Over Items",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Loop Over Items": {
      "main": [
        [],
        [
          {
            "node": "Perform Esty web request over the loop",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Extract Paginated Resultset With OpenAI",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Create a binary data": {
      "main": [
        [
          {
            "node": "Write the scraped content to disk",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Set Esty Search Query": {
      "main": [
        [
          {
            "node": "Perform Esty Web Request",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Google Gemini Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Extract Paginated Resultset",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Perform Esty Web Request": {
      "main": [
        [
          {
            "node": "Extract Paginated Resultset",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Extract Paginated Resultset": {
      "main": [
        [
          {
            "node": "Split Out",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "When clicking u2018Test workflowu2019": {
      "main": [
        [
          {
            "node": "Set Esty Search Query",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Perform Esty web request over the loop": {
      "main": [
        [
          {
            "node": "Extract Item List with the Product Info",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Extract Item List with the Product Info": {
      "main": [
        [
          {
            "node": "Initiate a Webhook Notification for the extracted data",
            "type": "main",
            "index": 0
          },
          {
            "node": "Create a binary data",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Google Gemini Chat Model for product info": {
      "ai_languageModel": [
        [
          {
            "node": "Extract Item List with the Product Info",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Initiate a Webhook Notification for the extracted data": {
      "main": [
        [
          {
            "node": "Loop Over Items",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}
				
			

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