Madame AI Team | Kai This workflow corresponds to n8n.io template #12434 — we link there as the canonical source.
This workflow follows the Agent → Google Gemini Chat 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 →
{
"id": "MfXaARhvmHON0d6z",
"name": "Create Telegram podcast digests from Apple Podcasts using BrowserAct & Gemini",
"tags": [],
"nodes": [
{
"id": "463fae5f-aba1-4acf-90a2-895976bc44a8",
"name": "Google Gemini Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1296,
528
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.5-pro"
},
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "a00daa5d-259c-4416-b864-257e44ef5573",
"name": "Structured Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
1440,
528
],
"parameters": {
"autoFix": true,
"jsonSchemaExample": "{\n\"Telegram\" : [\n \"\ud83c\udfa7 <b><a href=\\\"https://...\\\">Podcast Title 1</a></b>\\n\ud83c\udf99 <i>Show Name</i>\\n\\nSummary text here...\\n\\n\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\\n\\n\ud83c\udfa7 <b><a href=\\\"https://...\\\">Podcast Title 2</a></b>... [Message content up to 3500 chars] ... \\n\\n<i>(To be continued...)</i>\",\n \"<i>(...Continued)</i>\\n\\n\ud83c\udfa7 <b><a href=\\\"https://...\\\">Podcast Title 5</a></b>\\n\ud83c\udf99 <i>Show Name</i>\\n\\nSummary text...\"\n]\n}"
},
"typeVersion": 1.3
},
{
"id": "8a2fbb6e-d808-484d-8830-fbdd9fe633ba",
"name": "Loop Over Items",
"type": "n8n-nodes-base.splitInBatches",
"position": [
2064,
320
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "30c1481e-453a-4ba1-94b8-3e227ae87ff9",
"name": "Schedule Daily",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
656,
320
],
"parameters": {
"rule": {
"interval": [
{}
]
}
},
"typeVersion": 1.3
},
{
"id": "e404aef6-0642-425e-88ec-0b96f14d8cb5",
"name": "Run Top Chart Podcast workflow",
"type": "n8n-nodes-browseract.browserAct",
"position": [
864,
320
],
"parameters": {
"type": "WORKFLOW",
"workflowId": "72057695044160531",
"workflowConfig": {
"value": {},
"schema": [
{
"id": "input-Apple_Podcast",
"type": "string",
"display": true,
"removed": true,
"required": false,
"description": "If left blank, the default value defined in BrowserAct will be used.",
"displayName": "Apple_Podcast",
"defaultMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"input-Apple_Podcast"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"open_incognito_mode": false
},
"credentials": {
"browserActApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "ccaabf97-84a1-4fef-9ebb-5767ec7ee0a4",
"name": "Split Generated Items",
"type": "n8n-nodes-base.splitOut",
"position": [
1856,
320
],
"parameters": {
"options": {},
"fieldToSplitOut": "output.Telegram"
},
"typeVersion": 1
},
{
"id": "5f451ebc-a5db-4e2c-b398-4e00b3338ebf",
"name": "Avoid Rate Limits",
"type": "n8n-nodes-base.wait",
"position": [
2304,
336
],
"parameters": {},
"typeVersion": 1.1
},
{
"id": "0771a2c0-c6fa-425c-b896-0d516ea9b01b",
"name": "Send Podcast List to User",
"type": "n8n-nodes-base.telegram",
"position": [
2512,
336
],
"parameters": {
"text": "={{ $('Loop Over Items').item.json[\"output.Telegram\"] }}",
"chatId": "parameters.chatId==@Channel_ID (Use Channel ID or Chat ID )",
"additionalFields": {
"parse_mode": "HTML"
}
},
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "791c1603-2c0a-49e9-a910-f63f66e77d56",
"name": "Analyze Podcast & Generate Post",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1296,
320
],
"parameters": {
"text": "={{ $json.output.string }}",
"options": {
"systemMessage": "You are a Telegram Content Formatter and Publisher. Your task is to take a raw JSON input containing podcast or news items and convert it into a structured JSON array of strings, formatted specifically for Telegram's HTML parsing mode.\n\n\nProcessing Rules:\n\nContent Formatting (Per Item): For each item in the input list, generate a text block using the following HTML tags supported by Telegram (<b>, <i>, <a>):\n\nHeadline: Use an engaging emoji (like \ud83c\udfa7, \ud83d\uddde, or \ud83d\udd25) followed by the Title in bold (<b>). Embed the Link directly into the Title using the <a href=\"...\"> tag.\n\nShow Name: Display the \"Show\" field in italics (<i>) with a microphone emoji (\ud83c\udf99).\n\nSummary: Place the summary on a new line.\n\nSeparator: Add a visual separator between items (e.g., \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500).\n\nTemplate:\n\nHTML\n\n\ud83c\udfa7 <b><a href=\"{Link}\">{Title}</a></b>\n\ud83c\udf99 <i>{Show}</i>\n\n{Summary}\n\n\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\nPagination & Character Limits:\n\nTelegram has a hard limit of 4096 characters. You must enforce a safety limit of 3500 characters per message to account for encoding and metadata.\n\nIterate through the items and concatenate them into a single message string.\n\nCheck Length: Before adding a new item to the current message, check if adding it would exceed the 3500-character limit.\n\nIf it fits: Add the item to the current message.\n\nIf it does NOT fit:\n\nAppend the footer <i>(To be continued...)</i> to the end of the current message.\n\nClose the current message and add it to your output array.\n\nStart a new message string.\n\n(Optional) You may start the new message with <i>(...Continued)</i> for continuity.\n\nAdd the current item to this new message.\n\nTone:\n\nKeep the content engaging.\n\nEnsure the HTML is valid (all tags must be closed).\n\nFinal Output:\n\nReturn only the final JSON array containing the message strings. Do not output markdown code blocks (like ```json) unless explicitly asked, just the raw array.\n\nOutput Example (do not add any more key):\n\n{\n\"Telegram\" : [\n \"\ud83c\udfa7 <b><a href=\\\"https://...\\\">Podcast Title 1</a></b>\\n\ud83c\udf99 <i>Show Name</i>\\n\\nSummary text here...\\n\\n\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\\n\\n\ud83c\udfa7 <b><a href=\\\"https://...\\\">Podcast Title 2</a></b>... [Message content up to 3500 chars] ... \\n\\n<i>(To be continued...)</i>\",\n \"<i>(...Continued)</i>\\n\\n\ud83c\udfa7 <b><a href=\\\"https://...\\\">Podcast Title 5</a></b>\\n\ud83c\udf99 <i>Show Name</i>\\n\\nSummary text...\"\n]\n}"
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 3
},
{
"id": "d3a46e30-88fa-43f5-aadc-b910df0f9bcd",
"name": "Documentation",
"type": "n8n-nodes-base.stickyNote",
"position": [
160,
-176
],
"parameters": {
"width": 380,
"height": 456,
"content": "## \u26a1 Workflow Overview & Setup\n\n**Summary:** This automation daily scrapes top podcast charts from Apple Podcasts using BrowserAct and utilizes AI to generate beautifully formatted, multi-part digests for Telegram.\n\n### Requirements\n* **Credentials:** BrowserAct, Google Gemini (PaLM), Telegram.\n* **Mandatory:** BrowserAct API (Template: **Top Charts Podcast**)\n\n### How to Use\n1. **Credentials:** Set up your BrowserAct, Google Gemini, and Telegram Bot API keys in n8n.\n2. **BrowserAct Template:** Ensure you have the **Top Charts Podcast** template saved in your BrowserAct account.\n3. **Configuration:** Update the Telegram node with your target Channel or Group ID.\n\n### Need Help?\n[How to Find Your BrowserAct API Key & Workflow ID](https://docs.browseract.com)\n[How to Connect n8n to BrowserAct](https://docs.browseract.com)\n[How to Use & Customize BrowserAct Templates](https://docs.browseract.com)"
},
"typeVersion": 1
},
{
"id": "06b18e9f-fa22-4afa-9bc5-9f9faae75914",
"name": "Step 1 Explanation",
"type": "n8n-nodes-base.stickyNote",
"position": [
560,
160
],
"parameters": {
"color": 7,
"width": 508,
"height": 124,
"content": "### \ud83d\udcfb Step 1: Chart Extraction\n\nThe workflow triggers daily to execute a BrowserAct automation that scrapes the latest trending episodes and shows from the Apple Podcasts top charts."
},
"typeVersion": 1
},
{
"id": "18d5d326-ed5c-469a-8b15-8bd1e8aeb31b",
"name": "Step 2 Explanation",
"type": "n8n-nodes-base.stickyNote",
"position": [
1152,
128
],
"parameters": {
"color": 7,
"width": 588,
"height": 140,
"content": "### \ud83e\udde0 Step 2: AI Curation & Formatting\n\nAn AI agent analyzes the scraped podcast data to create engaging HTML-formatted summaries. It automatically calculates character counts to ensure each message stays within Telegram's limits, creating a multi-part series if needed."
},
"typeVersion": 1
},
{
"id": "f395e4d4-c5fd-4d1d-83db-3df41ebebec1",
"name": "Step 3 Explanation",
"type": "n8n-nodes-base.stickyNote",
"position": [
1856,
176
],
"parameters": {
"color": 7,
"width": 796,
"height": 108,
"content": "### \ud83d\ude80 Step 3: Sequential Delivery\n\nThe generated digest parts are split into individual messages and sent to Telegram. A short wait period is implemented between messages to avoid rate limits and maintain a clean posting order."
},
"typeVersion": 1
},
{
"id": "b2207d56-60c6-42be-91e1-51e5c5a9bcc4",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
560,
-176
],
"parameters": {
"color": 6,
"width": 512,
"height": 304,
"content": "@[youtube](jR_EjiLTIgg)"
},
"typeVersion": 1
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "b62e9f93-f2a6-4120-bb1c-e5f5ef5fd18c",
"connections": {
"Schedule Daily": {
"main": [
[
{
"node": "Run Top Chart Podcast workflow",
"type": "main",
"index": 0
}
]
]
},
"Loop Over Items": {
"main": [
[],
[
{
"node": "Avoid Rate Limits",
"type": "main",
"index": 0
}
]
]
},
"Avoid Rate Limits": {
"main": [
[
{
"node": "Send Podcast List to User",
"type": "main",
"index": 0
}
]
]
},
"Split Generated Items": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "Analyze Podcast & Generate Post",
"type": "ai_languageModel",
"index": 0
},
{
"node": "Structured Output Parser",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "Analyze Podcast & Generate Post",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Send Podcast List to User": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Run Top Chart Podcast workflow": {
"main": [
[
{
"node": "Analyze Podcast & Generate Post",
"type": "main",
"index": 0
}
]
]
},
"Analyze Podcast & Generate Post": {
"main": [
[
{
"node": "Split Generated Items",
"type": "main",
"index": 0
}
]
]
}
}
}
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.
browserActApigooglePalmApitelegramApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
This workflow automates the creation of engaging podcast summaries for your Telegram channel. It scrapes a podcast feed (like Apple Podcasts Top Charts), uses AI to format the episodes into a clean, readable HTML list with emojis, and publishes the digest directly to your…
Source: https://n8n.io/workflows/12434/ — original creator credit. Request a take-down →
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