This workflow follows the Agent → HTTP Request recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
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{
"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": "<your credential>"
}
}
},
{
"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": "<your credential>"
}
}
},
{
"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": "<your credential>"
}
}
},
{
"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": "<your credential>"
}
}
},
{
"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": "<your credential>"
}
}
},
{
"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": "<your credential>"
}
}
},
{
"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": "<your credential>"
}
}
},
{
"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(/(?<!\\\\)\"/g, match => {\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
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
brightdataApigooglePalmApinotionApi
Pro
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About this workflow
Reddit-Insights-N8N. Uses @brightdata/n8n-nodes-brightdata, agent, lmChatGoogleGemini, rssFeedRead. Scheduled trigger; 29 nodes.
Source: https://gist.github.com/kichuman28/5f0dc6c3b5eaf2377442964faa096630 — original creator credit. Request a take-down →
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