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LinkedIn-KI-Inhalts-Poster mit Bildern durch Umwandlung von Wikipedia-Inhalten mit Bright Data

Experte

Dies ist ein Social Media, Multimodal AI-Bereich Automatisierungsworkflow mit 19 Nodes. Hauptsächlich werden If, Code, Wait, LinkedIn, FormTrigger und andere Nodes verwendet. LinkedIn-Posts aus Wikipedia mit GPT-4-Zusammenfassungen und Ideogram-Bildern generieren

Voraussetzungen
  • •LinkedIn API-Anmeldedaten
  • •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
  • •OpenAI API Key
  • •Anthropic API Key

Verwendete Nodes (19)

If
Code
Wait
LinkedIn
StickyNote
FormTrigger
HttpRequest
Agent
LmChatOpenAi
LmChatAnthropic
OutputParserAutofixing
OutputParserStructured

Kategorie

Soziale Medien
Multimodales KI
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
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  "name": "Wikipedia to LinkedIn AI Content Poster with Image via Bright Data",
  "tags": [],
  "nodes": [
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      "parameters": {
        "url": "=https://api.brightdata.com/datasets/v3/progress/{{ $json.snapshot_id }}",
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        "sendHeaders": true,
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      },
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    {
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      "parameters": {
        "url": "https://api.ideogram.ai/v1/ideogram-v3/generate",
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        "person": "LINKEDIN_PROFILE_ID",
        "additionalFields": {},
        "shareMediaCategory": "IMAGE"
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          "cachedResultName": "Claude 4 Sonnet"
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        "amount": 1
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        "formTitle": "Wikipedia Search",
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      },
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        "sendQuery": true,
        "sendHeaders": true,
        "specifyBody": "json",
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              "value": "true"
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            {
              "name": "type",
              "value": "discover_new"
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            {
              "name": "discover_by",
              "value": "keyword"
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            {
              "name": "limit_per_input",
              "value": "1"
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        },
        "headerParameters": {
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              "name": "Authorization",
              "value": "Bearer BRIGHT_DATA_API_KEY"
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      "position": [
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      ],
      "parameters": {
        "color": 2,
        "width": 624,
        "height": 800,
        "content": "🔷 Bright Data Extraction Section:\n🔵 HTTP Request (Trigger Dataset)\nStarts the Bright Data dataset crawl using the submitted keyword.\n\n🔵 Wait for Status\nChecks crawl progress using snapshot_id.\n\n🔵 Check Final Status (IF node)\nChecks if crawl status is 'ready'. If not, it waits.\n\n🔵 Wait (1 min)\nWaits before rechecking crawl status.\n\n🔵 Wikipedia Scrap Post\nFetches scraped data (title & text) using snapshot_id."
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    },
    {
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      "position": [
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      ],
      "parameters": {
        "color": 3,
        "width": 768,
        "height": 912,
        "content": "🤖 AI Summarization Section:\n🤖 AI Agent\nSummarizes the scraped Wikipedia text into 2000 characters, suitable for a LinkedIn audience.\n\n🧠 OpenAI Chat Model\nGPT-4.1-mini model that powers the AI Agent.\n\n🧠 Anthropic Chat Model (Claude)\nAlternative language model linked to autofixing output.\n\n🔧 Auto-fixing Output Parser\nImproves/fixes AI output structure if needed.\n\n📐 Structured Output Parser\nEnsures final output follows JSON format.\n\n🖼️ Image Generation Section:\n🎨 Image Generate (Ideogram API)\nCreates a relevant image based on summarized text.\n\n📦 HTTP Request1\nDownloads the generated image from Ideogram.\n\n"
      },
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      ],
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        "color": 4,
        "width": 608,
        "height": 416,
        "content": "📤 Publishing Section:\n🔗 Create a Post (LinkedIn)\nPosts summary + image to a specified LinkedIn profile.\n\n🔗 LinkedIn URL (Code node)\nGenerates public LinkedIn post URL using URN.\n\n"
      },
      "typeVersion": 1
    }
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}
Häufig gestellte Fragen

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Für welche Szenarien ist dieser Workflow geeignet?

Experte - Soziale Medien, Multimodales KI

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