{
  "workflow": {
    "id": 7397,
    "name": "Auto-generate tech news blog posts with NewsAPI & Google Gemini to WordPress",
    "views": 2415,
    "recentViews": 1,
    "totalViews": 2415,
    "createdAt": "2025-08-14T19:59:56.539Z",
    "description": "## WordPress Daily News Digest Generator\n\n**Overview:**\nThis automation automatically fetches trending tech news every morning, uses AI to create engaging blog posts from each article, and publishes them directly to your WordPress site.\n\n**What it does:**\n- Fetches top 10 US technology news stories every day at 8 AM via NewsAPI\n- Splits articles into individual items for processing\n- Processes each article through a loop system\n- AI creates expanded, engaging blog posts (600-800 words) from each news article\n- Parses AI response to extract clean titles and content\n- Publishes individual blog posts to WordPress automatically\n\n**Setup Required:**\n1. **NewsAPI Configuration**\n   - Get free API key from newsapi.org (1,000 requests/day free)\n   - Replace `YOUR_API_KEY` in the HTTP Request URL with your actual key\n   - Customize country/category parameters in URL if needed\n\n2. **WordPress Connection**\n   - Configure WordPress credentials in the \"Publish to WordPress\" node\n   - Enter your WordPress site URL, username, and password/app password\n\n3. **AI Configuration**\n   - Set up Google Gemini API credentials\n   - Connect the Gemini model to the \"AI News Summarizer\" node\n\n4. **Customization Options**\n   - Publishing Schedule: Modify schedule trigger (default: daily 8 AM)\n   - News Sources: Change country, category, or pageSize in NewsAPI URL\n   - Content Style: Adjust AI system message for different writing tones\n   - Post Status: Change from \"publish\" to \"draft\" for manual review\n\n5. **Testing**\n   - Run workflow manually to test all connections\n   - Verify news articles are fetched correctly\n   - Check that blog posts appear properly on your WordPress site\n\n**Features:**\n- Automatic daily content creation\n- AI-generated unique titles and expanded content\n- Loop processing for multiple articles per day\n- Duplicate content filtering (removes incomplete articles)\n- SEO-optimized blog post formatting\n- Automatic tagging and categorization\n\n**Customization:**\n- Change news categories (technology, business, science, etc.)\n- Adjust posting frequency (hourly, twice daily, etc.)\n- Modify AI prompts for different writing styles\n- Add custom categories and tags\n- Change article limits (currently 5 articles max)\n\n**Need Help?**\nFor [n8n coaching or one-on-one consultation](mailto:david@daexai.com)",
    "workflow": {
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            "height": 588,
            "content": "## Daily News Digest Automation\n\n**What it does:**\n- Fetches top tech news every day at 8 AM\n- AI summarizes and creates engaging blog post\n- Auto-publishes to WordPress\n\n**Setup Required:**\n1. Get free NewsAPI key from newsapi.org\n2. Replace YOUR_API_KEY in the HTTP Request URL with your actual key\n3. Configure WordPress credentials in the WordPress node\n4. Set up Google Gemini API credentials for AI agent\n\n**Customization:**\n- Change schedule time in trigger (currently 8 AM daily)\n- Modify news sources/categories in URL parameters\n- Adjust AI prompt for different writing styles\n- Change post status from \"publish\" to \"draft\" for review\n\n**Need Help?**\nFor [n8n coaching or one-on-one consultation:](mailto:david@daexai.com)"
          },
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          "name": "Daily 8AM Trigger",
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          "parameters": {
            "rule": {
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          "name": "Fetch Tech News",
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          "parameters": {
            "url": "https://newsapi.org/v2/top-headlines?apiKey=YOUR_TOKEN_HERE&country=us&category=technology&pageSize=10",
            "options": {},
            "sendBody": true,
            "authentication": "genericCredentialType",
            "bodyParameters": {
              "parameters": [
                {
                  "name": "country",
                  "value": "us"
                },
                {
                  "name": "pageSize",
                  "value": "10"
                },
                {
                  "name": "category",
                  "value": "technology"
                }
              ]
            },
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            "text": "=You are a tech news writer. Based on the article provided, write an engaging blog post.\n\nReturn ONLY valid JSON in this exact format:\n{\n  \"title\": \"Your catchy headline here\",\n  \"content\": \"Full blog post content with proper formatting\"\n}\n\nArticle details:\n- Title: {{ $json.title }}\n- Description: {{ $json.description }}\n- Content: {{ $json.content }}\n- Source: {{ $json.source }}\n\nWrite a 600-800 word blog post expanding on this article.",
            "options": {
              "systemMessage": "You are a tech news curator. Create a compelling blog post that summarizes the top tech news stories. Format it with proper headings, bullet points, and include brief commentary on each story's significance. Make it engaging and informative for a general tech audience."
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            "additionalFields": {
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                "news",
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          "name": "Title and Content",
          "type": "n8n-nodes-base.code",
          "position": [
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          "parameters": {
            "jsCode": "const items = $input.all();\n\nreturn items.map(item => {\n  // Remove markdown code blocks and parse JSON\n  let aiOutput = item.json.output;\n  \n  // Remove ```json and ``` markers\n  aiOutput = aiOutput.replace(/```json\\s*/, '').replace(/```\\s*$/, '');\n  \n  // Parse the cleaned JSON\n  const parsedOutput = JSON.parse(aiOutput.trim());\n  \n  return {\n    json: {\n      title: parsedOutput.title,\n      content: parsedOutput.content,\n      originalTitle: item.json.title,\n      source: item.json.source,\n      url: item.json.url\n    }\n  };\n});"
          },
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        {
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          "name": "Split Articles",
          "type": "n8n-nodes-base.code",
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          "parameters": {
            "jsCode": "// Split the articles array and clean up the data\nconst articles = $input.first().json.articles;\n\n// Filter out articles with null/missing content and limit to top 5\nconst validArticles = articles\n  .filter(article => \n    article.title && \n    article.description && \n    article.content && \n    article.content !== \"[Removed]\"\n  )\n  .slice(0, 5); // Limit to 5 articles to avoid rate limits\n\n// Return each article as a separate item\nreturn validArticles.map(article => ({\n  json: {\n    title: article.title,\n    description: article.description,\n    content: article.content,\n    url: article.url,\n    urlToImage: article.urlToImage,\n    publishedAt: article.publishedAt,\n    source: article.source.name\n  }\n}));"
          },
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        "Google Gemini Chat Model": {
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                "type": "ai_languageModel",
                "index": 0
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    "lastUpdatedBy": 29,
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    "status": "published",
    "user": {
      "name": "David Olusola",
      "username": "dae221",
      "bio": "I design enterprise-grade automation systems that eliminate bottlenecks, cut manual work by 70%+, and unlock millions in lost revenue opportunities. My clients — typically achieve 5–10x ROI within the first 90 days. Currently partnering with select high-growth companies ready to scale faster with AI automation.  david@daexai.com",
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                  "icon": "🧬",
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        "typeVersion": 4,
        "nodeCategories": [
          {
            "id": 5,
            "name": "Development"
          },
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 39,
        "icon": "fa:sync",
        "name": "n8n-nodes-base.splitInBatches",
        "codex": {
          "data": {
            "alias": [
              "Loop",
              "Concatenate",
              "Batch",
              "Split",
              "Split In Batches"
            ],
            "resources": {
              "generic": [
                {
                  "url": "https://n8n.io/blog/how-uproc-scraped-a-multi-page-website-with-a-low-code-workflow/",
                  "icon": " 🕸️",
                  "label": "How uProc scraped a multi-page website with a low-code workflow"
                },
                {
                  "url": "https://n8n.io/blog/benefits-of-automation-and-n8n-an-interview-with-hubspots-hugh-durkin/",
                  "icon": "🎖",
                  "label": "Benefits of automation and n8n: An interview with HubSpot's Hugh Durkin"
                }
              ],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.splitinbatches/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Flow"
              ]
            }
          }
        },
        "group": "[\"organization\"]",
        "defaults": {
          "name": "Loop Over Items",
          "color": "#007755"
        },
        "iconData": {
          "icon": "sync",
          "type": "icon"
        },
        "displayName": "Loop Over Items (Split in Batches)",
        "typeVersion": 3,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 118,
        "icon": "file:wordpress.svg",
        "name": "n8n-nodes-base.wordpress",
        "codex": {
          "data": {
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.wordpress/"
                }
              ],
              "credentialDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/credentials/wordpress/"
                }
              ]
            },
            "categories": [
              "Marketing"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"output\"]",
        "defaults": {
          "name": "Wordpress"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Wordpress",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 27,
            "name": "Marketing"
          }
        ]
      },
      {
        "id": 565,
        "icon": "fa:sticky-note",
        "name": "n8n-nodes-base.stickyNote",
        "codex": {
          "data": {
            "alias": [
              "Comments",
              "Notes",
              "Sticky"
            ],
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers"
              ]
            }
          }
        },
        "group": "[\"input\"]",
        "defaults": {
          "name": "Sticky Note",
          "color": "#FFD233"
        },
        "iconData": {
          "icon": "sticky-note",
          "type": "icon"
        },
        "displayName": "Sticky Note",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 834,
        "icon": "file:code.svg",
        "name": "n8n-nodes-base.code",
        "codex": {
          "data": {
            "alias": [
              "cpde",
              "Javascript",
              "JS",
              "Python",
              "Script",
              "Custom Code",
              "Function"
            ],
            "details": "The Code node allows you to execute JavaScript in your workflow.",
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code/"
                }
              ]
            },
            "categories": [
              "Development",
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers",
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Code"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Code",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 5,
            "name": "Development"
          },
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 839,
        "icon": "fa:clock",
        "name": "n8n-nodes-base.scheduleTrigger",
        "codex": {
          "data": {
            "alias": [
              "Time",
              "Scheduler",
              "Polling",
              "Cron",
              "Interval"
            ],
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.scheduletrigger/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"trigger\",\"schedule\"]",
        "defaults": {
          "name": "Schedule Trigger",
          "color": "#31C49F"
        },
        "iconData": {
          "icon": "clock",
          "type": "icon"
        },
        "displayName": "Schedule Trigger",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 1119,
        "icon": "fa:robot",
        "name": "@n8n/n8n-nodes-langchain.agent",
        "codex": {
          "data": {
            "alias": [
              "LangChain",
              "Chat",
              "Conversational",
              "Plan and Execute",
              "ReAct",
              "Tools"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Agents",
                "Root Nodes"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "AI Agent",
          "color": "#404040"
        },
        "iconData": {
          "icon": "robot",
          "type": "icon"
        },
        "displayName": "AI Agent",
        "typeVersion": 3,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1262,
        "icon": "file:google.svg",
        "name": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
        "codex": {
          "data": {
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatgooglegemini/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Language Models",
                "Root Nodes"
              ],
              "Language Models": [
                "Chat Models (Recommended)"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Google Gemini Chat Model"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Google Gemini Chat Model",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      }
    ],
    "categories": [
      {
        "id": 31,
        "name": "Content Creation"
      },
      {
        "id": 51,
        "name": "Multimodal AI"
      }
    ],
    "image": []
  }
}