AutomationFlowsAI & RAG › AI Website Roast via Webhook

AI Website Roast via Webhook

Original n8n title: Roast My Website API

Roast My Website API. Uses httpRequest, agent, lmChatOpenAi. Webhook trigger; 6 nodes.

Webhook trigger★★★★☆ complexityAI-powered6 nodesHTTP RequestAgentOpenAI Chat
AI & RAG Trigger: Webhook Nodes: 6 Complexity: ★★★★☆ AI nodes: yes Added:

This workflow follows the Agent → HTTP Request recipe pattern — see all workflows that pair these two integrations.

The workflow JSON

Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →

Download .json
{
  "name": "Roast My Website API",
  "description": null,
  "active": true,
  "isArchived": false,
  "nodes": [
    {
      "parameters": {
        "path": "roast-website-api",
        "responseMode": "responseNode",
        "httpMethod": "POST",
        "options": {
          "responseHeaders": {
            "entries": [
              {
                "name": "Access-Control-Allow-Origin",
                "value": "*"
              },
              {
                "name": "Access-Control-Allow-Headers",
                "value": "Content-Type"
              },
              {
                "name": "Access-Control-Allow-Methods",
                "value": "POST, OPTIONS"
              }
            ]
          }
        }
      },
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 2,
      "position": [
        200,
        300
      ],
      "id": "roast-web-api-wh",
      "name": "Webhook"
    },
    {
      "parameters": {
        "url": "={{ $json.body.url || 'https://example.com' }}",
        "options": {
          "response": {
            "response": {
              "fullResponse": true,
              "responseFormat": "text"
            }
          },
          "timeout": 10000,
          "allowUnauthorizedCerts": true
        },
        "sendHeaders": true,
        "headerParameters": {
          "parameters": [
            {
              "name": "User-Agent",
              "value": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36"
            },
            {
              "name": "Accept",
              "value": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8"
            }
          ]
        }
      },
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.2,
      "position": [
        430,
        300
      ],
      "id": "roast-web-api-http",
      "name": "Fetch Website",
      "onError": "continueRegularOutput",
      "retryOnFail": false
    },
    {
      "parameters": {
        "jsCode": "// Parse the fetched HTML\nconst inputUrl = $('Webhook').first().json.body.url || 'https://example.com';\nlet html = '';\nlet statusCode = 0;\nlet fetchSuccess = false;\n\ntry {\n  const httpData = $input.first().json;\n  // The HTTP Request node with full response returns body, headers, statusCode\n  if (httpData.body) {\n    html = typeof httpData.body === 'string' ? httpData.body : JSON.stringify(httpData.body);\n    statusCode = httpData.statusCode || 200;\n    fetchSuccess = true;\n  } else if (httpData.data) {\n    html = typeof httpData.data === 'string' ? httpData.data : JSON.stringify(httpData.data);\n    statusCode = 200;\n    fetchSuccess = true;\n  } else if (typeof httpData === 'string') {\n    html = httpData;\n    statusCode = 200;\n    fetchSuccess = true;\n  } else {\n    // Maybe the response is the HTML directly in one of the fields\n    html = JSON.stringify(httpData).substring(0, 5000);\n    fetchSuccess = true;\n  }\n} catch (e) {\n  html = '';\n  fetchSuccess = false;\n}\n\nif (!fetchSuccess || html.length < 50) {\n  return [{\n    json: {\n      url: inputUrl,\n      title: 'Could not fetch - site may be down or blocking requests',\n      description: 'Failed to fetch website data',\n      h1: 'N/A',\n      statusCode: statusCode,\n      stats: { images: 0, links: 0, scripts: 0, styles: 0, divs: 0, pageSizeKB: 0 },\n      tech: 'Unknown',\n      mobileReady: false,\n      fetchSuccess: false\n    }\n  }];\n}\n\n// Extract basic info with regex\nconst titleMatch = html.match(/<title[^>]*>(.*?)<\\/title>/is);\nconst title = titleMatch ? titleMatch[1].replace(/<[^>]+>/g, '').trim().substring(0, 200) : 'No title found';\n\nconst descMatch = html.match(/<meta[^>]*name=[\"']description[\"'][^>]*content=[\"'](.*?)[\"']/is) \n  || html.match(/<meta[^>]*content=[\"'](.*?)[\"'][^>]*name=[\"']description[\"']/is);\nconst description = descMatch ? descMatch[1].trim().substring(0, 300) : 'No meta description';\n\nconst h1Match = html.match(/<h1[^>]*>(.*?)<\\/h1>/is);\nconst h1 = h1Match ? h1Match[1].replace(/<[^>]+>/g, '').trim().substring(0, 200) : 'No H1 tag found';\n\n// Count elements\nconst imgCount = (html.match(/<img/gi) || []).length;\nconst linkCount = (html.match(/<a\\s/gi) || []).length;\nconst scriptCount = (html.match(/<script/gi) || []).length;\nconst styleCount = (html.match(/<style/gi) || []).length;\nconst divCount = (html.match(/<div/gi) || []).length;\nconst formCount = (html.match(/<form/gi) || []).length;\nconst buttonCount = (html.match(/<button/gi) || []).length;\n\n// Check for common frameworks/technologies\nconst techStack = [];\nif (html.includes('react') || html.includes('__next') || html.includes('_next')) techStack.push('React/Next.js');\nif (html.includes('wp-content') || html.includes('wordpress')) techStack.push('WordPress');\nif (html.includes('bootstrap')) techStack.push('Bootstrap');\nif (html.includes('tailwind')) techStack.push('Tailwind CSS');\nif (html.includes('jquery') || html.includes('jQuery')) techStack.push('jQuery');\nif (html.includes('vue') || html.includes('__vue')) techStack.push('Vue.js');\nif (html.includes('angular')) techStack.push('Angular');\nif (html.includes('shopify')) techStack.push('Shopify');\nif (html.includes('squarespace')) techStack.push('Squarespace');\nif (html.includes('wix')) techStack.push('Wix');\n\nconst hasViewport = html.includes('viewport');\nconst pageSize = Math.round(html.length / 1024);\n\n// Check for some fun things\nconst hasInlineStyles = (html.match(/style=\"/gi) || []).length;\nconst hasFavicon = html.includes('favicon') || html.includes('icon');\nconst hasOpenGraph = html.includes('og:');\n\nreturn [{\n  json: {\n    url: inputUrl,\n    title: title,\n    description: description,\n    h1: h1,\n    statusCode: statusCode,\n    stats: {\n      images: imgCount,\n      links: linkCount,\n      scripts: scriptCount,\n      styles: styleCount,\n      divs: divCount,\n      forms: formCount,\n      buttons: buttonCount,\n      pageSizeKB: pageSize,\n      inlineStyles: hasInlineStyles\n    },\n    tech: techStack.length > 0 ? techStack.join(', ') : 'Could not detect specific frameworks',\n    mobileReady: hasViewport,\n    hasFavicon: hasFavicon,\n    hasOpenGraph: hasOpenGraph,\n    fetchSuccess: true\n  }\n}];"
      },
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        660,
        300
      ],
      "id": "roast-web-api-parse",
      "name": "Parse Website Info"
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "=Roast this website based on the following data:\n\n**URL:** {{ $json.url }}\n**Title:** {{ $json.title }}\n**Meta Description:** {{ $json.description }}\n**Main Heading (H1):** {{ $json.h1 }}\n**HTTP Status:** {{ $json.statusCode }}\n**Mobile Ready:** {{ $json.mobileReady }}\n**Has Favicon:** {{ $json.hasFavicon }}\n**Has Open Graph Tags:** {{ $json.hasOpenGraph }}\n**Detected Tech:** {{ $json.tech }}\n**Page Size:** {{ $json.stats.pageSizeKB }} KB\n**Element Counts:**\n- Images: {{ $json.stats.images }}\n- Links: {{ $json.stats.links }}  \n- Scripts: {{ $json.stats.scripts }}\n- Style blocks: {{ $json.stats.styles }}\n- Inline styles: {{ $json.stats.inlineStyles }}\n- Divs: {{ $json.stats.divs }}\n- Forms: {{ $json.stats.forms }}\n- Buttons: {{ $json.stats.buttons }}\n**Fetch Success:** {{ $json.fetchSuccess }}\n\nNow roast this website! Make it hilarious and specific to the data above.",
        "options": {
          "systemMessage": "You are the world's funniest and most savage website design critic. You're a combination of Gordon Ramsay, a senior UX designer, and a stand-up comedian. Your job is to roast websites based on the information provided about them.\n\nYour roast MUST follow this EXACT structure:\n\n## First Impression\nYour visceral, gut reaction to this website. Be dramatic and funny.\n\n## The Charges\nList 3-5 specific \"design crimes\" as numbered charges. Each charge should be a funny one-liner, like:\n1. **Charge: [Crime Name]** - [Funny description of what's wrong]\n\nBe creative with charge names like \"Assault with a Deadly Font\", \"First-Degree Navigation Confusion\", \"Unlawful Use of Gradients\", \"Reckless Whitespace Endangerment\", etc.\n\n## The Roast\nGo deeper into 2-3 of the worst offenses. Use metaphors, pop culture references, and design humor. Comment on:\n- URL structure and domain choice\n- The implied content/purpose of the site\n- Potential design issues based on the meta description and title\n- Any other observations from the provided data\n\n## Design Crime Score: X/10\nGive a score from 1-10 where:\n- 1-3: \"Actually decent, you got lucky\"\n- 4-6: \"The design jury is still deliberating\"  \n- 7-9: \"Guilty on all counts\"\n- 10: \"Life sentence in design prison\"\n\nInclude a funny verdict line after the score.\n\n## One Genuine Compliment\nEnd with ONE genuinely nice thing about the website. It can be slightly backhanded but should contain real praise.\n\nIMPORTANT RULES:\n- Be hilarious but NOT mean-spirited or cruel\n- Focus on design/UX critique wrapped in humor\n- Never make fun of the website's actual mission or the people behind it\n- If it's a personal site, be extra gentle with the compliment\n- Keep the total response between 300-500 words\n- Make it entertaining enough that people want to share it\n- Use emojis sparingly for comedic effect"
        }
      },
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 2.2,
      "position": [
        900,
        300
      ],
      "id": "roast-web-api-agent",
      "name": "AI Agent"
    },
    {
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1-mini"
        },
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1.2,
      "position": [
        900,
        520
      ],
      "id": "roast-web-api-openai",
      "name": "OpenAI Chat Model",
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "respondWith": "json",
        "responseBody": "={{ JSON.stringify({ \"roast\": $json.output }) }}",
        "options": {
          "responseHeaders": {
            "entries": [
              {
                "name": "Access-Control-Allow-Origin",
                "value": "*"
              },
              {
                "name": "Access-Control-Allow-Headers",
                "value": "Content-Type"
              },
              {
                "name": "Content-Type",
                "value": "application/json"
              }
            ]
          }
        }
      },
      "type": "n8n-nodes-base.respondToWebhook",
      "typeVersion": 1.1,
      "position": [
        1200,
        300
      ],
      "id": "roast-web-api-resp",
      "name": "Respond to Webhook"
    }
  ],
  "connections": {
    "Webhook": {
      "main": [
        [
          {
            "node": "Fetch Website",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Fetch Website": {
      "main": [
        [
          {
            "node": "Parse Website Info",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Parse Website Info": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "AI Agent": {
      "main": [
        [
          {
            "node": "Respond to Webhook",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1",
    "callerPolicy": "workflowsFromSameOwner",
    "availableInMCP": false
  },
  "staticData": null,
  "meta": null,
  "activeVersionId": "d15af64a-81e1-4e40-8482-42c1d5614c8e",
  "versionCounter": 8,
  "triggerCount": 1,
  "shared": [
    {
      "updatedAt": "2026-03-02T01:33:57.186Z",
      "createdAt": "2026-03-02T01:33:57.186Z",
      "role": "workflow:owner",
      "workflowId": "zFkfowy5u6NG0D4b",
      "projectId": "jISBlT19NO0fn5mT",
      "project": {
        "updatedAt": "2025-11-19T23:58:51.301Z",
        "createdAt": "2025-11-19T23:57:07.759Z",
        "id": "jISBlT19NO0fn5mT",
        "name": "Armani Cunningham <hamstudios101@gmail.com>",
        "type": "personal",
        "icon": null,
        "description": null,
        "creatorId": "a8e49b89-e536-45ff-8330-fab9f0943ab1"
      }
    }
  ],
  "tags": [],
  "activeVersion": {
    "updatedAt": "2026-03-02T01:35:56.493Z",
    "createdAt": "2026-03-02T01:35:56.493Z",
    "versionId": "d15af64a-81e1-4e40-8482-42c1d5614c8e",
    "workflowId": "zFkfowy5u6NG0D4b",
    "nodes": [
      {
        "parameters": {
          "path": "roast-website-api",
          "responseMode": "responseNode",
          "httpMethod": "POST",
          "options": {
            "responseHeaders": {
              "entries": [
                {
                  "name": "Access-Control-Allow-Origin",
                  "value": "*"
                },
                {
                  "name": "Access-Control-Allow-Headers",
                  "value": "Content-Type"
                },
                {
                  "name": "Access-Control-Allow-Methods",
                  "value": "POST, OPTIONS"
                }
              ]
            }
          }
        },
        "type": "n8n-nodes-base.webhook",
        "typeVersion": 2,
        "position": [
          200,
          300
        ],
        "id": "roast-web-api-wh",
        "name": "Webhook",
        "webhookId": "roast-web-api-1"
      },
      {
        "parameters": {
          "url": "={{ $json.body.url || 'https://example.com' }}",
          "options": {
            "response": {
              "response": {
                "fullResponse": true,
                "responseFormat": "text"
              }
            },
            "timeout": 10000,
            "allowUnauthorizedCerts": true
          },
          "sendHeaders": true,
          "headerParameters": {
            "parameters": [
              {
                "name": "User-Agent",
                "value": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36"
              },
              {
                "name": "Accept",
                "value": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8"
              }
            ]
          }
        },
        "type": "n8n-nodes-base.httpRequest",
        "typeVersion": 4.2,
        "position": [
          430,
          300
        ],
        "id": "roast-web-api-http",
        "name": "Fetch Website",
        "onError": "continueRegularOutput",
        "retryOnFail": false
      },
      {
        "parameters": {
          "jsCode": "// Parse the fetched HTML\nconst inputUrl = $('Webhook').first().json.body.url || 'https://example.com';\nlet html = '';\nlet statusCode = 0;\nlet fetchSuccess = false;\n\ntry {\n  const httpData = $input.first().json;\n  // The HTTP Request node with full response returns body, headers, statusCode\n  if (httpData.body) {\n    html = typeof httpData.body === 'string' ? httpData.body : JSON.stringify(httpData.body);\n    statusCode = httpData.statusCode || 200;\n    fetchSuccess = true;\n  } else if (httpData.data) {\n    html = typeof httpData.data === 'string' ? httpData.data : JSON.stringify(httpData.data);\n    statusCode = 200;\n    fetchSuccess = true;\n  } else if (typeof httpData === 'string') {\n    html = httpData;\n    statusCode = 200;\n    fetchSuccess = true;\n  } else {\n    // Maybe the response is the HTML directly in one of the fields\n    html = JSON.stringify(httpData).substring(0, 5000);\n    fetchSuccess = true;\n  }\n} catch (e) {\n  html = '';\n  fetchSuccess = false;\n}\n\nif (!fetchSuccess || html.length < 50) {\n  return [{\n    json: {\n      url: inputUrl,\n      title: 'Could not fetch - site may be down or blocking requests',\n      description: 'Failed to fetch website data',\n      h1: 'N/A',\n      statusCode: statusCode,\n      stats: { images: 0, links: 0, scripts: 0, styles: 0, divs: 0, pageSizeKB: 0 },\n      tech: 'Unknown',\n      mobileReady: false,\n      fetchSuccess: false\n    }\n  }];\n}\n\n// Extract basic info with regex\nconst titleMatch = html.match(/<title[^>]*>(.*?)<\\/title>/is);\nconst title = titleMatch ? titleMatch[1].replace(/<[^>]+>/g, '').trim().substring(0, 200) : 'No title found';\n\nconst descMatch = html.match(/<meta[^>]*name=[\"']description[\"'][^>]*content=[\"'](.*?)[\"']/is) \n  || html.match(/<meta[^>]*content=[\"'](.*?)[\"'][^>]*name=[\"']description[\"']/is);\nconst description = descMatch ? descMatch[1].trim().substring(0, 300) : 'No meta description';\n\nconst h1Match = html.match(/<h1[^>]*>(.*?)<\\/h1>/is);\nconst h1 = h1Match ? h1Match[1].replace(/<[^>]+>/g, '').trim().substring(0, 200) : 'No H1 tag found';\n\n// Count elements\nconst imgCount = (html.match(/<img/gi) || []).length;\nconst linkCount = (html.match(/<a\\s/gi) || []).length;\nconst scriptCount = (html.match(/<script/gi) || []).length;\nconst styleCount = (html.match(/<style/gi) || []).length;\nconst divCount = (html.match(/<div/gi) || []).length;\nconst formCount = (html.match(/<form/gi) || []).length;\nconst buttonCount = (html.match(/<button/gi) || []).length;\n\n// Check for common frameworks/technologies\nconst techStack = [];\nif (html.includes('react') || html.includes('__next') || html.includes('_next')) techStack.push('React/Next.js');\nif (html.includes('wp-content') || html.includes('wordpress')) techStack.push('WordPress');\nif (html.includes('bootstrap')) techStack.push('Bootstrap');\nif (html.includes('tailwind')) techStack.push('Tailwind CSS');\nif (html.includes('jquery') || html.includes('jQuery')) techStack.push('jQuery');\nif (html.includes('vue') || html.includes('__vue')) techStack.push('Vue.js');\nif (html.includes('angular')) techStack.push('Angular');\nif (html.includes('shopify')) techStack.push('Shopify');\nif (html.includes('squarespace')) techStack.push('Squarespace');\nif (html.includes('wix')) techStack.push('Wix');\n\nconst hasViewport = html.includes('viewport');\nconst pageSize = Math.round(html.length / 1024);\n\n// Check for some fun things\nconst hasInlineStyles = (html.match(/style=\"/gi) || []).length;\nconst hasFavicon = html.includes('favicon') || html.includes('icon');\nconst hasOpenGraph = html.includes('og:');\n\nreturn [{\n  json: {\n    url: inputUrl,\n    title: title,\n    description: description,\n    h1: h1,\n    statusCode: statusCode,\n    stats: {\n      images: imgCount,\n      links: linkCount,\n      scripts: scriptCount,\n      styles: styleCount,\n      divs: divCount,\n      forms: formCount,\n      buttons: buttonCount,\n      pageSizeKB: pageSize,\n      inlineStyles: hasInlineStyles\n    },\n    tech: techStack.length > 0 ? techStack.join(', ') : 'Could not detect specific frameworks',\n    mobileReady: hasViewport,\n    hasFavicon: hasFavicon,\n    hasOpenGraph: hasOpenGraph,\n    fetchSuccess: true\n  }\n}];"
        },
        "type": "n8n-nodes-base.code",
        "typeVersion": 2,
        "position": [
          660,
          300
        ],
        "id": "roast-web-api-parse",
        "name": "Parse Website Info"
      },
      {
        "parameters": {
          "promptType": "define",
          "text": "=Roast this website based on the following data:\n\n**URL:** {{ $json.url }}\n**Title:** {{ $json.title }}\n**Meta Description:** {{ $json.description }}\n**Main Heading (H1):** {{ $json.h1 }}\n**HTTP Status:** {{ $json.statusCode }}\n**Mobile Ready:** {{ $json.mobileReady }}\n**Has Favicon:** {{ $json.hasFavicon }}\n**Has Open Graph Tags:** {{ $json.hasOpenGraph }}\n**Detected Tech:** {{ $json.tech }}\n**Page Size:** {{ $json.stats.pageSizeKB }} KB\n**Element Counts:**\n- Images: {{ $json.stats.images }}\n- Links: {{ $json.stats.links }}  \n- Scripts: {{ $json.stats.scripts }}\n- Style blocks: {{ $json.stats.styles }}\n- Inline styles: {{ $json.stats.inlineStyles }}\n- Divs: {{ $json.stats.divs }}\n- Forms: {{ $json.stats.forms }}\n- Buttons: {{ $json.stats.buttons }}\n**Fetch Success:** {{ $json.fetchSuccess }}\n\nNow roast this website! Make it hilarious and specific to the data above.",
          "options": {
            "systemMessage": "You are the world's funniest and most savage website design critic. You're a combination of Gordon Ramsay, a senior UX designer, and a stand-up comedian. Your job is to roast websites based on the information provided about them.\n\nYour roast MUST follow this EXACT structure:\n\n## First Impression\nYour visceral, gut reaction to this website. Be dramatic and funny.\n\n## The Charges\nList 3-5 specific \"design crimes\" as numbered charges. Each charge should be a funny one-liner, like:\n1. **Charge: [Crime Name]** - [Funny description of what's wrong]\n\nBe creative with charge names like \"Assault with a Deadly Font\", \"First-Degree Navigation Confusion\", \"Unlawful Use of Gradients\", \"Reckless Whitespace Endangerment\", etc.\n\n## The Roast\nGo deeper into 2-3 of the worst offenses. Use metaphors, pop culture references, and design humor. Comment on:\n- URL structure and domain choice\n- The implied content/purpose of the site\n- Potential design issues based on the meta description and title\n- Any other observations from the provided data\n\n## Design Crime Score: X/10\nGive a score from 1-10 where:\n- 1-3: \"Actually decent, you got lucky\"\n- 4-6: \"The design jury is still deliberating\"  \n- 7-9: \"Guilty on all counts\"\n- 10: \"Life sentence in design prison\"\n\nInclude a funny verdict line after the score.\n\n## One Genuine Compliment\nEnd with ONE genuinely nice thing about the website. It can be slightly backhanded but should contain real praise.\n\nIMPORTANT RULES:\n- Be hilarious but NOT mean-spirited or cruel\n- Focus on design/UX critique wrapped in humor\n- Never make fun of the website's actual mission or the people behind it\n- If it's a personal site, be extra gentle with the compliment\n- Keep the total response between 300-500 words\n- Make it entertaining enough that people want to share it\n- Use emojis sparingly for comedic effect"
          }
        },
        "type": "@n8n/n8n-nodes-langchain.agent",
        "typeVersion": 2.2,
        "position": [
          900,
          300
        ],
        "id": "roast-web-api-agent",
        "name": "AI Agent"
      },
      {
        "parameters": {
          "model": {
            "__rl": true,
            "mode": "list",
            "value": "gpt-4.1-mini"
          },
          "options": {}
        },
        "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
        "typeVersion": 1.2,
        "position": [
          900,
          520
        ],
        "id": "roast-web-api-openai",
        "name": "OpenAI Chat Model",
        "credentials": {
          "openAiApi": {
            "id": "xVvmBQ0k0B49oB4q",
            "name": "n8n free OpenAI API credits"
          }
        }
      },
      {
        "parameters": {
          "respondWith": "json",
          "responseBody": "={{ JSON.stringify({ \"roast\": $json.output }) }}",
          "options": {
            "responseHeaders": {
              "entries": [
                {
                  "name": "Access-Control-Allow-Origin",
                  "value": "*"
                },
                {
                  "name": "Access-Control-Allow-Headers",
                  "value": "Content-Type"
                },
                {
                  "name": "Content-Type",
                  "value": "application/json"
                }
              ]
            }
          }
        },
        "type": "n8n-nodes-base.respondToWebhook",
        "typeVersion": 1.1,
        "position": [
          1200,
          300
        ],
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    },
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}

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About this workflow

Roast My Website API. Uses httpRequest, agent, lmChatOpenAi. Webhook trigger; 6 nodes.

Source: https://github.com/mhmdmnsor292003-arch/free-ai-tools/blob/main/workflows/roast-my-website-api.json — original creator credit. Request a take-down →

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