Datenextraktion von Indeed mit Aggregation in Airtable, Bright Data und Google Gemini

Name: Datenextraktion von Indeed mit Aggregation in Airtable, Bright Data und Google Gemini
Rating: 4.5 (10 reviews)
Author: Ranjan Dailata

Experte

Dies ist ein HR, AI, Marketing, IT Ops-Bereich Automatisierungsworkflow mit 19 Nodes. Hauptsächlich werden If, Set, Wait, Airtable, Markdown und andere Nodes verwendet, kombiniert mit KI-Technologie für intelligente Automatisierung. Airtable, Bright Data und Google Gemini für Indeed-Daten-Scraping und -Zusammenfassung

Voraussetzungen

•Airtable API Key
•Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
•Google Gemini API Key

Verwendete Nodes (19)

Kategorie

Personalwesen

Künstliche Intelligenz

Marketing

IT-Betrieb

Workflow-Vorschau

Visualisierung der Node-Verbindungen, mit Zoom und Pan

Bei Klick auf 'Test-Workflow'

Google Gemini Chat-Modell für Zusammenfassung

Webhook HTTP Anfrage

Indeed-Webanfrage durchführen

Indeed-Experten-KI-Agent

Google Gemini Chat-Modell

Markdown-zu-Text-Datenextraktor

Markdown in HTML konvertieren

Webhook-Benachrichtigung für Markdown-zu-HTML-Antwort initiieren

Bright Data-Zone festlegen

Über Elemente iterieren

Airtable

Wenn Link-Feld nicht leer ist

Warten

Indeed-Zusammenfasser

Google Gemini Chat-Modell für KI-Agent

React Flow

Workflow exportieren

Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n

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    "templateCredsSetupCompleted": true
  },
  "name": "Indeed Company Data Scraper & Summarization with Airtable, Bright Data and 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"
    },
    {
      "id": "rKOa98eAi3IETrLu",
      "name": "HR",
      "createdAt": "2025-04-13T04:59:30.580Z",
      "updatedAt": "2025-04-13T04:59:30.580Z"
    }
  ],
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    {
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        "toolDescription": "Extract the response and format a structured JSON response"
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      "parameters": {
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        "content": "## Note\n\nDeals with the Company web scraping by utilizing Bright Data Web Unlocker Product.\n\nThe Basic LLM Chain, Summarization and AI Agent are being used to demonstrate the usage of the n8n AI capabilities.\n\n**Please make sure to connect to Airtable with the Base Table as \"Indeed\" and the default Table1 filled with the indeed links to scrape. \n\nAlso make sure to update the Webhook Notification URL**"
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      "typeVersion": 1
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    {
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      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {
        "width": 480,
        "height": 320,
        "content": "## LLM Usages\n\nGoogle Gemini Flash Exp model is being used.\n\nBasic LLM Chain Data Extractor.\n\nSummarization Chain is being used for the summarization of search results.\n\nThe AI Agent formats the search result and pushes it to the Webhook via HTTP Request"
      },
      "typeVersion": 1
    },
    {
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      "name": "Indeed-Webanfrage durchführen",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
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      ],
      "parameters": {
        "url": "https://api.brightdata.com/request",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "sendHeaders": true,
        "authentication": "genericCredentialType",
        "bodyParameters": {
          "parameters": [
            {
              "name": "zone",
              "value": "={{ $('Set Bright Data Zone').item.json.zone }}"
            },
            {
              "name": "url",
              "value": "=https://www.indeed.com/cmp/{{ encodeURI($('Airtable').item.json.Link) }}?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": "3738e714-59aa-4b0b-876c-c2f15a1d7479",
      "name": "Indeed-Experten-KI-Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
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      "parameters": {
        "text": "=You are an Indeed Expert. You need to format the search result  and push it to the Webhook via HTTP Request. Here is the search result - {{ $('Markdown to Textual Data Extractor').item.json.text }}",
        "options": {},
        "promptType": "define"
      },
      "typeVersion": 1.8
    },
    {
      "id": "47e96e87-8ac7-43d7-af6f-b52404be4eec",
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      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
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      ],
      "parameters": {
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        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
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      "name": "Markdown-zu-Text-Datenextraktor",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        1320,
        -520
      ],
      "parameters": {
        "text": "=You need to analyze the below markdown and convert to textual data.\n\n{{ $json.data }}",
        "messages": {
          "messageValues": [
            {
              "message": "You are a markdown expert"
            }
          ]
        },
        "promptType": "define"
      },
      "typeVersion": 1.6
    },
    {
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      "name": "Markdown in HTML konvertieren",
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      "position": [
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      ],
      "parameters": {
        "mode": "markdownToHtml",
        "options": {},
        "markdown": "={{ $json.data }}"
      },
      "typeVersion": 1
    },
    {
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        "bodyParameters": {
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      "typeVersion": 4.2
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    {
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      "parameters": {
        "base": {
          "__rl": true,
          "mode": "list",
          "value": "appHnxLQRVHbCzDyj",
          "cachedResultUrl": "https://airtable.com/appHnxLQRVHbCzDyj",
          "cachedResultName": "Indeed"
        },
        "table": {
          "__rl": true,
          "mode": "list",
          "value": "tblS1f5XWVMfdyjOz",
          "cachedResultUrl": "https://airtable.com/appHnxLQRVHbCzDyj/tblS1f5XWVMfdyjOz",
          "cachedResultName": "Table 1"
        },
        "options": {},
        "operation": "search"
      },
      "credentials": {
        "airtableTokenApi": {
          "id": "yXTVs1Lgka4VUTCB",
          "name": "Airtable Personal Access Token account"
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "faf3d158-e625-4829-8e90-2549d747e674",
      "name": "Wenn Link-Feld nicht leer ist",
      "type": "n8n-nodes-base.if",
      "position": [
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      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
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              "id": "42eae1de-1d71-4418-862d-9cb9f8fb44e6",
              "operator": {
                "type": "string",
                "operation": "notEmpty",
                "singleValue": true
              },
              "leftValue": "={{ $json.Link }}",
              "rightValue": ""
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "d81941a5-b267-4cac-9134-42caac9948ef",
      "name": "Warten",
      "type": "n8n-nodes-base.wait",
      "position": [
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      ],
      "webhookId": "f348d66e-ee91-40d4-8e52-83d8d3ca32f2",
      "parameters": {
        "amount": 10
      },
      "typeVersion": 1.1
    },
    {
      "id": "6903a767-ab81-4a01-8b98-914afab45c63",
      "name": "Indeed-Zusammenfasser",
      "type": "@n8n/n8n-nodes-langchain.chainSummarization",
      "position": [
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      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 2
    },
    {
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      "name": "Haftnotiz2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
        "width": 480,
        "height": 320,
        "content": "## Airtable Table Data Sample \n[\n  {\n    \"id\": \"recCDNhVfdlc97cgf\",\n    \"createdTime\": \"2025-04-14T02:55:31.000Z\",\n    \"Tab\": \"Starbucks\",\n    \"Link\": \"https://www.indeed.com/cmp/Starbucks\"\n  },\n  {\n    \"id\": \"recR7VEJrwXX7XjVl\",\n    \"createdTime\": \"2025-04-14T02:55:31.000Z\",\n    \"Tab\": \"BrightData\",\n    \"Link\": \"https://www.indeed.com/cmp/bright-data\"\n  }\n]"
      },
      "typeVersion": 1
    },
    {
      "id": "d125e31f-845b-498e-9b3c-e5e8c14ed166",
      "name": "Google Gemini Chat-Modell für KI-Agent",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
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        -160
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "98d3cc1a-123e-468e-814f-7a96d38b8e36",
  "connections": {
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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 - Personalwesen, Künstliche Intelligenz, Marketing, IT-Betrieb

Ist es kostenpflichtig?

Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.