{ "nodes": [ { "parameters": { "options": { "reset": true } }, "id": "b77a08a2-5574-4b67-8fea-ab68068cf5eb", "name": "Loop Over Items", "type": "n8n-nodes-base.splitInBatches", "position": [ 1488, 368 ], "typeVersion": 3 }, { "parameters": {}, "id": "a8c961a0-850b-4f45-8828-0a640d35817a", "name": "Check Snapshot Again for Success", "type": "n8n-nodes-base.noOp", "position": [ 2304, 464 ], "typeVersion": 1 }, { "parameters": { "resource": "webScrapper", "operation": "monitorProgressSnapshot", "snapshot_id": "={{ $json.snapshot_id }}", "requestOptions": {} }, "id": "196598e6-b488-4cc8-88e5-b75088bb2287", "name": "Check the status of a batch extraction", "type": "@brightdata/n8n-nodes-brightdata.brightData", "position": [ 1712, 368 ], "typeVersion": 1, "credentials": { "brightdataApi": { "name": "" } } }, { "parameters": { "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "f5deab49-ea1c-456b-b61a-5458adf991a5", "operator": { "name": "filter.operator.equals", "type": "string", "operation": "equals" }, "leftValue": "={{ $json.status }}", "rightValue": "ready" } ] }, "options": {} }, "id": "b16319ef-2ff0-49f0-821d-541ee02dd71a", "name": "Check if Batch Ready", "type": "n8n-nodes-base.if", "position": [ 1872, 256 ], "typeVersion": 2.2 }, { "parameters": { "resource": "webScrapper", "operation": "downloadSnapshot", "snapshot_id": "={{ $json.snapshot_id }}", "requestOptions": {} }, "id": "45cf4c7c-7135-4cea-a985-591dde2ce7db", "name": "Download the snapshot content", "type": "@brightdata/n8n-nodes-brightdata.brightData", "position": [ 2112, 256 ], "typeVersion": 1, "credentials": { "brightdataApi": { "name": "" } } }, { "parameters": { "assignments": { "assignments": [ { "id": "e30d65f3-a6be-4df2-8672-2f69633f9296", "name": "title", "type": "string", "value": "={{ $json.title }}" }, { "id": "cc932518-35b3-42cc-9ed7-76b695c5607a", "name": "description", "type": "string", "value": "={{ $json.description }}" }, { "id": "3cd26612-27f6-4d31-bfe0-7075d2c05a44", "name": "comments", "type": "array", "value": "={{ $json.comments }}" }, { "id": "54b22b70-0c4c-4e68-975b-77fbf2112ede", "name": "post_id", "type": "string", "value": "={{ $json.post_id }}" }, { "id": "189999eb-6f59-4810-be8f-dfd1f7f01ef5", "name": "url", "type": "string", "value": "={{ $json.url }}" }, { "id": "332a53a2-4182-4490-adc3-1a87426c0ba1", "name": "num_upvotes", "type": "number", "value": "={{ $json.num_upvotes }}" }, { "id": "2754e3a3-ee58-4c75-ae8c-296f4c1249a0", "name": "num_comments", "type": "number", "value": "={{ $json.num_comments }}" } ] }, "options": {} }, "id": "bdf36077-ca72-4116-b85b-9dcd8fe186eb", "name": "Extract Essential Data", "type": "n8n-nodes-base.set", "position": [ 2592, 352 ], "typeVersion": 3.4 }, { "parameters": { "assignments": { "assignments": [ { "id": "00bbe5d7-c761-422c-a542-b32c0f59fd47", "name": "postdata", "type": "string", "value": "=Title: {{ $json.title }}\nDescription: {{ $json.description }}\nURL: {{ $json.url }}\nUpvotes: {{ $json.num_upvotes }}\nComment Count: {{ $json.num_comments }}\nComments: {{ $jmespath($json.comments, '[].{comment: comment, replies: replies[].reply}') \n .map(item => ({\n comment: item.comment || '',\n replies: (item.replies || []).filter(r => r !== null)\n })) \n .toJsonString() }}\n" } ] }, "options": {} }, "id": "c79a1286-2c82-4a8e-86f0-53a9932c0cf7", "name": "Reduce Objects to 1", "type": "n8n-nodes-base.set", "position": [ 2816, 352 ], "typeVersion": 3.4 }, { "parameters": { "fieldsToAggregate": { "fieldToAggregate": [ { "fieldToAggregate": "postdata" } ] }, "options": {} }, "id": "cb14d13d-4574-40d7-96a4-c6c87d01b91b", "name": "Aggregate", "type": "n8n-nodes-base.aggregate", "position": [ 3040, 352 ], "typeVersion": 1 }, { "parameters": { "promptType": "define", "text": "={{ $json.postdata.join('\\n\\n') }}", "needsFallback": true, "options": { "systemMessage": "You are an expert marketing research assistant. Your task is to analyze Reddit posts and comments from a specific subreddit and produce clear, structured, and actionable insights for marketers. \n\nThe data you receive will contain:\n- Post title, description, URL\n- Upvotes and comment counts\n- Top-level comments and replies\n\nYour analysis must focus on extracting what is most useful for marketers, brand managers, or product teams.\n\nProvide your output in the following structured sections:\n\n1. **Summary of Community Discussion**\n - Briefly summarize the main themes/topics people are discussing in the subreddit during this period.\n - Highlight if conversations are trending around specific products, pain points, or cultural shifts.\n\n2. **Positive Sentiment & Praise**\n - Identify what users are praising (products, features, services, brands).\n - Include examples of exact customer language when possible.\n\n3. **Negative Sentiment & Complaints**\n - Highlight recurring complaints or frustrations.\n - Emphasize product weaknesses, unmet needs, or service issues.\n\n4. **Emerging Trends & Opportunities**\n - Point out new behaviors, brands, or ideas gaining traction.\n - Suggest opportunities where a brand could position itself, engage, or create content.\n\n5. **Competitor Mentions**\n - List brands, companies, or products being discussed.\n - Summarize user perception of each (positive/negative/neutral).\n\n6. **Actionable Insights for Marketers**\n - Translate findings into practical recommendations for marketing campaigns, messaging, product development, or customer engagement.\n - Keep it concise and actionable.\n\n7. **Key Quotes**\n - Provide a few representative user quotes (short, impactful) that capture the voice of the customer.\n\nFormatting Guidelines:\n- Use clear markdown headings (##).\n- Be concise but insightful.\n- Avoid repeating the raw data; instead, distill it into insights.\n- Assume the reader is a busy marketer who needs quick takeaways and actionable direction.\n\nYour output should be professional, marketing-focused, and it should be in JSON format. I want two parameters, one called 'title' and the second one called 'paragraph'. Everything in the paragraph must be in markdown format. Showing you an example below.\n\n{\n \"Title\": \"Hello World!\",\n \"Paragraph\": \"Welcome to my Page!\"\n}\n\n" } }, "id": "8e5a5213-262a-4dfb-bd90-54b2a4883028", "name": "AI Agent", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 3376, 320 ], "typeVersion": 2.2 }, { "parameters": { "options": {} }, "id": "dfd17b48-1b8b-4aba-8f31-2e62f2174299", "name": "Google Gemini Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "position": [ 3440, 544 ], "typeVersion": 1, "credentials": { "googlePalmApi": { "name": "" } } }, { "parameters": { "content": "## Get most recent reddit posts. Maybe as the input we can put a chat node to type in the subreddit name.\n", "height": 496, "width": 992, "color": 7 }, "id": "c3f93233-ef4a-40a5-b317-bd39ac13dbb8", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -64, 208 ], "typeVersion": 1 }, { "parameters": { "content": "## Pass Posts to Bright Data to get comment and upvote data", "height": 480, "width": 1504, "color": 7 }, "id": "62fd63b0-7381-46ca-96f9-2afb9882cf39", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ 976, 208 ], "typeVersion": 1 }, { "parameters": { "content": "## Prep output for LLM", "height": 480, "width": 640, "color": 7 }, "id": "8ee86614-8dcd-4799-8f9c-67dbf9c3fdf2", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 2528, 208 ], "typeVersion": 1 }, { "parameters": { "content": "## Convert posts to summary", "height": 480, "width": 544, "color": 7 }, "id": "78de3e7d-b840-40ae-ac3e-f27187de1fcc", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 3200, 208 ], "typeVersion": 1 }, { "parameters": { "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "typeVersion": 1, "position": [ 3312, 496 ], "id": "4d70a50d-d2b0-491f-acd1-fbb588145570", "name": "Google Gemini Chat Model1", "credentials": { "googlePalmApi": { "name": "" } } }, { "parameters": { "rule": { "interval": [ {} ] } }, "id": "1cd1e285-ccbc-4593-be24-5eb82166f812", "name": "Schedule Trigger", "type": "n8n-nodes-base.scheduleTrigger", "position": [ -16, 464 ], "typeVersion": 1.2 }, { "parameters": { "assignments": { "assignments": [ { "id": "subreddit-field", "name": "subreddit", "type": "string", "value": "SkincareAddiction" } ] }, "options": {} }, "id": "eaf8b9b3-08ad-4964-85cd-67cd612927c0", "name": "Set Subreddit", "type": "n8n-nodes-base.set", "position": [ 192, 464 ], "typeVersion": 3.4 }, { "parameters": { "url": "={{ 'https://www.reddit.com/r/' + $json.subreddit + '.rss' }}", "options": {} }, "id": "266fcec8-2209-4011-9c43-8491ca05fe8b", "name": "RSS Read", "type": "n8n-nodes-base.rssFeedRead", "position": [ 400, 464 ], "typeVersion": 1.2 }, { "parameters": { "assignments": { "assignments": [ { "id": "11be4491-e850-4cec-8401-45592419e30f", "name": "url", "type": "string", "value": "={{ $json.link }}" } ] }, "options": {} }, "id": "45ca30db-ccbb-44d0-a013-c2896780cce2", "name": "Extract URLs", "type": "n8n-nodes-base.set", "position": [ 608, 464 ], "typeVersion": 3.4 }, { "parameters": { "aggregate": "aggregateAllItemData", "options": {} }, "id": "26671b64-1baf-46bb-9f9f-b6199d4cc31a", "name": "Aggregate URLs to Single Object", "type": "n8n-nodes-base.aggregate", "position": [ 800, 464 ], "typeVersion": 1 }, { "parameters": { "resource": "webScrapper", "operation": "triggerCollectionByUrl", "dataset_id": { "__rl": true, "value": "gd_lvz8ah06191smkebj4", "mode": "list", "cachedResultName": "Reddit- Posts" }, "urls": "={{ $json.data.toJsonString() }}", "requestOptions": {} }, "id": "1fe1a71e-f9d5-45fc-9b69-6ba5c8fc2d26", "name": "Initiate batch extraction from URL", "type": "@brightdata/n8n-nodes-brightdata.brightData", "position": [ 1184, 464 ], "typeVersion": 1, "credentials": { "brightdataApi": { "name": "" } } }, { "parameters": { "pageId": { "__rl": true, "value": "=25b7080884b3806dbd9ce94a739ed133", "mode": "id" }, "title": "={{ $json.Title }}", "simple": false, "options": {} }, "type": "n8n-nodes-base.notion", "typeVersion": 2.2, "position": [ 4096, 192 ], "id": "b60a1fe1-bcc4-460b-a99b-4b6ae8bf5791", "name": "Create a page", "credentials": { "notionApi": { "name": "" } } }, { "parameters": { "amount": 30 }, "id": "6279f41b-082c-4b7e-8fc1-ac021ce1c53e", "name": "Wait 30 seconds", "type": "n8n-nodes-base.wait", "position": [ 2096, 480 ], "typeVersion": 1.1 }, { "parameters": { "mode": "runOnceForEachItem", "jsCode": "// N8N Code to convert only the Paragraph field to Notion blocks\n// Input: Array with Title and Paragraph fields\n// Output: Notion blocks from Paragraph content only\n\nfunction markdownToNotionBlocks(markdown) {\n const lines = markdown.split('\\n');\n const blocks = [];\n let currentList = null;\n \n function parseRichText(text) {\n const richText = [];\n const regex = /(\\*\\*|__)(.*?)\\1|(_|\\*)(.*?)\\3|(`)(.*?)\\5|(\\[)(.*?)\\]\\((.*?)\\)/g;\n let lastIndex = 0;\n \n text.replace(regex, (match, bold1, boldText, italic1, italicText, code1, codeText, link1, linkText, linkUrl, index) => {\n if (index > lastIndex) {\n richText.push({ text: { content: text.slice(lastIndex, index) } });\n }\n \n if (boldText) {\n richText.push({ text: { content: boldText }, annotations: { bold: true } });\n } else if (italicText) {\n richText.push({ text: { content: italicText }, annotations: { italic: true } });\n } else if (codeText) {\n richText.push({ text: { content: codeText }, annotations: { code: true } });\n } else if (linkText) {\n richText.push({ text: { content: linkText, link: { url: linkUrl } } });\n }\n \n lastIndex = index + match.length;\n });\n \n if (lastIndex < text.length) {\n richText.push({ text: { content: text.slice(lastIndex) } });\n }\n \n return richText.length > 0 ? richText : [{ text: { content: text } }];\n }\n \n for (const line of lines) {\n // Reset currentList for non-list items\n if (!line.startsWith('- ') && !line.startsWith('* ')) {\n currentList = null;\n }\n \n if (line.startsWith('# ')) {\n blocks.push({ type: 'heading_1', heading_1: { rich_text: parseRichText(line.slice(2)) } });\n } else if (line.startsWith('## ')) {\n blocks.push({ type: 'heading_2', heading_2: { rich_text: parseRichText(line.slice(3)) } });\n } else if (line.startsWith('### ')) {\n blocks.push({ type: 'heading_3', heading_3: { rich_text: parseRichText(line.slice(4)) } });\n } else if (line.startsWith('- ')) {\n blocks.push({ type: 'bulleted_list_item', bulleted_list_item: { rich_text: parseRichText(line.slice(2)) } });\n } else if (line.startsWith('* ')) {\n // Handle the specific format from your data (* **text**)\n blocks.push({ type: 'bulleted_list_item', bulleted_list_item: { rich_text: parseRichText(line.slice(4)) } });\n } else if (line.startsWith('> ')) {\n blocks.push({ type: 'quote', quote: { rich_text: parseRichText(line.slice(2)) } });\n } else if (line.startsWith('```')) {\n const codeLines = [];\n let i = lines.indexOf(line) + 1;\n while (i < lines.length && !lines[i].startsWith('```')) {\n codeLines.push(lines[i]);\n i++;\n }\n blocks.push({ type: 'code', code: { rich_text: [{ text: { content: codeLines.join('\\n') } }] } });\n } else if (line.trim()) {\n blocks.push({ type: 'paragraph', paragraph: { rich_text: parseRichText(line) } });\n }\n }\n \n return blocks;\n}\n\n// Get the current item's data\ntry {\n // Extract only the Paragraph field from the input\n const paragraphContent = $json.Paragraph || '';\n \n // Convert the paragraph markdown to Notion blocks\n const notionBlocks = markdownToNotionBlocks(paragraphContent);\n \n return {\n blocks: notionBlocks\n };\n \n} catch (error) {\n console.error('Error converting to Notion blocks:', error);\n return {\n blocks: [{\n type: 'paragraph',\n paragraph: {\n rich_text: [{\n text: { content: 'Error converting markdown to Notion blocks: ' + error.message }\n }]\n }\n }]\n };\n}" }, "id": "65f8e14b-8232-48d6-b116-f81005e05151", "name": "Md to Notion Blocks v3", "type": "n8n-nodes-base.code", "position": [ 4128, 448 ], "typeVersion": 2 }, { "parameters": { "method": "PATCH", "url": "=https://api.notion.com/v1/blocks/{{ $json.pageId }}/children ", "authentication": "predefinedCredentialType", "nodeCredentialType": "notionApi", "sendBody": true, "specifyBody": "json", "jsonBody": "={\n \"children\": {{ $json.requestBody.children.toJsonString() }}\n}", "options": {} }, "id": "42007e51-1144-4978-8345-def95fd4a67c", "name": "Add blocks as Children", "type": "n8n-nodes-base.httpRequest", "position": [ 4976, 304 ], "typeVersion": 4.2, "credentials": { "notionApi": { "name": "" } } }, { "parameters": {}, "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ 4448, 304 ], "id": "89fab8b9-fab1-42cb-ab27-89b153675cc1", "name": "Merge" }, { "parameters": { "content": "## Post the insights into dedicated notion workspaces.\n", "height": 624, "width": 1520, "color": 7 }, "id": "619eee7a-a993-424b-a740-6d19c64e1d42", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ 3792, 112 ], "typeVersion": 1 }, { "parameters": { "jsCode": "// N8N JavaScript Code to parse AI Agent output\n// Input: Array with JSON string in \"output\" field\n// Output: {Title: string, Paragraph: string}\n\n// Get the input data from the previous node\nconst inputData = $input.all();\n\n// Helper function to clean and fix common JSON issues\nfunction cleanJsonString(str) {\n return str\n // Remove markdown code block formatting\n .replace(/```json\\n?/g, '')\n .replace(/\\n?```$/g, '')\n // Fix common JSON issues\n .replace(/\\n/g, '\\\\n') // Escape actual newlines in strings\n .replace(/\\t/g, '\\\\t') // Escape tabs\n .replace(/\\r/g, '\\\\r') // Escape carriage returns\n // Fix unescaped quotes in strings (basic attempt)\n .replace(/(? {\n // This is a simplified approach - may need refinement\n return '\\\\\"';\n })\n .replace(/\\\\\"/g, '\"') // Restore properly escaped quotes\n .replace(/\"([^\"]*)\":/g, '\"$1\":'); // Ensure property names are quoted\n}\n\n// Process each item in the input\nconst processedItems = inputData.map(item => {\n try {\n // Extract the output string from the input item\n let outputString = item.json.output;\n \n console.log('Original output string:', outputString.substring(0, 200) + '...');\n \n // Clean the JSON string\n let cleanJsonString = cleanJsonString(outputString);\n \n console.log('Cleaned JSON string:', cleanJsonString.substring(0, 200) + '...');\n \n // Try to parse the JSON string\n const parsedData = JSON.parse(cleanJsonString);\n \n // Extract title and paragraph\n const title = parsedData.Title || '';\n const paragraph = parsedData.Paragraph || '';\n \n // Return the formatted object\n return {\n json: {\n Title: title,\n Paragraph: paragraph\n }\n };\n \n } catch (error) {\n // If JSON parsing fails, try a regex approach to extract Title and Paragraph\n try {\n const outputString = item.json.output;\n \n // Use regex to extract Title and Paragraph\n const titleMatch = outputString.match(/\"Title\":\\s*\"([^\"]+)\"/);\n const paragraphMatch = outputString.match(/\"Paragraph\":\\s*\"([\\s\\S]*?)\"\\s*}/);\n \n const title = titleMatch ? titleMatch[1] : 'No Title Found';\n let paragraph = paragraphMatch ? paragraphMatch[1] : 'No Paragraph Found';\n \n // Clean up the paragraph (unescape characters)\n paragraph = paragraph\n .replace(/\\\\n/g, '\\n')\n .replace(/\\\\t/g, '\\t')\n .replace(/\\\\\"/g, '\"')\n .replace(/\\\\\\\\/g, '\\\\');\n \n return {\n json: {\n Title: title,\n Paragraph: paragraph\n }\n };\n \n } catch (regexError) {\n // Handle both parsing errors\n console.error('JSON parsing error:', error);\n console.error('Regex extraction error:', regexError);\n \n return {\n json: {\n Title: 'Error',\n Paragraph: 'Failed to parse JSON data. Original error: ' + error.message + '. Raw data: ' + item.json.output.substring(0, 500) + '...'\n }\n };\n }\n }\n});\n\nreturn processedItems;" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 3888, 320 ], "id": "7a5784bc-4abf-40fd-87c9-46ace3625e3f", "name": "Convert output to Title and Content" }, { "parameters": { "jsCode": "// N8N Code to properly format the request body for Notion API\n// Input: Merged data from page creation and blocks\n// Output: Formatted request data with pageId and properly structured requestBody\n\ntry {\n // Get all input items from the merge\n const inputData = $input.all();\n \n console.log('Input data length:', inputData.length);\n console.log('First item:', JSON.stringify(inputData[0], null, 2));\n if (inputData.length > 1) {\n console.log('Second item:', JSON.stringify(inputData[1], null, 2));\n }\n \n // Extract page ID from the first item (page creation response)\n const pageId = inputData[0].json.id;\n \n // Extract blocks from the second item (blocks conversion result)\n let blocks = [];\n if (inputData.length > 1 && inputData[1].json.blocks) {\n blocks = inputData[1].json.blocks;\n } else if (inputData[0].json.blocks) {\n // Fallback: check if blocks are in the first item\n blocks = inputData[0].json.blocks;\n }\n \n console.log('Extracted pageId:', pageId);\n console.log('Extracted blocks count:', blocks.length);\n \n // Create the properly formatted request body for Notion API\n const requestBody = {\n children: blocks\n };\n \n // Return the data needed for the HTTP request\n return {\n pageId: pageId,\n requestBody: requestBody,\n blocks: blocks,\n id: pageId\n };\n \n} catch (error) {\n console.error('Error formatting request body:', error);\n return {\n pageId: 'error',\n requestBody: { children: [] },\n error: error.message,\n blocks: [],\n id: 'error'\n };\n}" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 4720, 304 ], "id": "c9e20608-0b5d-4d7f-8842-fb352336141b", "name": "Format for Block API" } ], "connections": { "Loop Over Items": { "main": [ [], [ { "node": "Check the status of a batch extraction", "type": "main", "index": 0 } ] ] }, "Check Snapshot Again for Success": { "main": [ [ { "node": "Loop Over Items", "type": "main", "index": 0 } ] ] }, "Check the status of a batch extraction": { "main": [ [ { "node": "Check if Batch Ready", "type": "main", "index": 0 } ] ] }, "Check if Batch Ready": { "main": [ [ { "node": "Download the snapshot content", "type": "main", "index": 0 } ], [ { "node": "Wait 30 seconds", "type": "main", "index": 0 } ] ] }, "Download the snapshot content": { "main": [ [ { "node": "Extract Essential Data", "type": "main", "index": 0 } ] ] }, "Extract Essential Data": { "main": [ [ { "node": "Reduce Objects to 1", "type": "main", "index": 0 } ] ] }, "Reduce Objects to 1": { "main": [ [ { "node": "Aggregate", "type": "main", "index": 0 } ] ] }, "Aggregate": { "main": [ [ { "node": "AI Agent", "type": "main", "index": 0 } ] ] }, "AI Agent": { "main": [ [ { "node": "Convert output to Title and Content", "type": "main", "index": 0 } ] ] }, "Google Gemini Chat Model": { "ai_languageModel": [ [ { "node": "AI Agent", "type": "ai_languageModel", "index": 1 } ] ] }, "Google Gemini Chat Model1": { "ai_languageModel": [ [ { "node": "AI Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "Schedule Trigger": { "main": [ [ { "node": "Set Subreddit", "type": "main", "index": 0 } ] ] }, "Set Subreddit": { "main": [ [ { "node": "RSS Read", "type": "main", "index": 0 } ] ] }, "RSS Read": { "main": [ [ { "node": "Extract URLs", "type": "main", "index": 0 } ] ] }, "Extract URLs": { "main": [ [ { "node": "Aggregate URLs to Single Object", "type": "main", "index": 0 } ] ] }, "Aggregate URLs to Single Object": { "main": [ [ { "node": "Initiate batch extraction from URL", "type": "main", "index": 0 } ] ] }, "Initiate batch extraction from URL": { "main": [ [ { "node": "Loop Over Items", "type": "main", "index": 0 } ] ] }, "Create a page": { "main": [ [ { "node": "Merge", "type": "main", "index": 0 } ] ] }, "Wait 30 seconds": { "main": [ [ { "node": "Check Snapshot Again for Success", "type": "main", "index": 0 } ] ] }, "Md to Notion Blocks v3": { "main": [ [ { "node": "Merge", "type": "main", "index": 1 } ] ] }, "Add blocks as Children": { "main": [ [] ] }, "Merge": { "main": [ [ { "node": "Format for Block API", "type": "main", "index": 0 } ] ] }, "Convert output to Title and Content": { "main": [ [ { "node": "Md to Notion Blocks v3", "type": "main", "index": 0 }, { "node": "Create a page", "type": "main", "index": 0 } ] ] }, "Format for Block API": { "main": [ [ { "node": "Add blocks as Children", "type": "main", "index": 0 } ] ] } }, "meta": { "templateCredsSetupCompleted": true } }