Telegram + Google Sheets, effortless work logs and tasks
Your work notes are probably everywhere. A “start time” in one chat, a to-do in another, an expense screenshot buried in your camera roll, then a painful Sunday night trying to rebuild what happened.
This is where Telegram Sheets automation pays off fast. Marketing managers tracking client time, agency owners juggling tasks, and operators who just need clean records all run into the same mess: nothing is structured until you force it to be.
This workflow turns simple Telegram messages into organized Google Sheets rows, plus summaries and monthly reports. You’ll see what it does, what it replaces, and how to get it running without living in spreadsheets.
How This Automation Works
See how this solves the problem:
n8n Workflow Template: Telegram + Google Sheets, effortless work logs and tasks
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subgraph sg1["Monthly Report Flow"]
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n48@{ icon: "mdi:play-circle", form: "rounded", label: "Monthly Report Trigger", pos: "b", h: 48 }
n49@{ icon: "mdi:robot", form: "rounded", label: "Work Hours Analyzer", pos: "b", h: 48 }
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n52 -.-> n49
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end
subgraph sg2["Gmail Trigger (New Emails) Flow"]
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subgraph sg3["Schedule Flow"]
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n12@{ icon: "mdi:database", form: "rounded", label: "Google Sheets5", pos: "b", h: 48 }
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end
subgraph sg4["Schedule Flow"]
direction LR
n34@{ icon: "mdi:play-circle", form: "rounded", label: "Schedule Trigger", pos: "b", h: 48 }
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n36@{ icon: "mdi:robot", form: "rounded", label: "AI Agent4", pos: "b", h: 48 }
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n41@{ icon: "mdi:database", form: "rounded", label: "Google Sheets7", pos: "b", h: 48 }
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The Challenge: Tracking work, tasks, and money without chaos
Logging work hours and tasks sounds simple until you’re busy. You start work, forget to note it, then later guess the time. You add a task in Telegram, then it never makes it into your “real” list. Expenses are worse: a quick cash payment here, a receipt there, multiple currencies, and suddenly your “monthly numbers” are just vibes. The mental load is constant because you’re always carrying unfinished admin in your head, and honestly, it steals attention from actual work.
It adds up fast. Here’s where things usually break down.
- Work hours get backfilled from memory, which means totals are wrong and hard to defend.
- Tasks live in chats, notebooks, and apps, so “What’s still open?” becomes a scavenger hunt.
- Expenses aren’t captured at the moment they happen, so you miss items and lose receipts.
- Monthly reporting turns into a manual spreadsheet session that you keep postponing.
The Fix: Telegram commands that write clean Google Sheets records
This workflow gives you one place to “talk to your admin” without opening five tools. You send a normal message in Telegram like “Start work at the factory” or “Add task: pay the bill.” The workflow routes that message to the right AI agent (work tracking, tasks, or finance), interprets what you meant, then updates the correct Google Sheet tab with consistent columns. For work time, it logs start/end times and calculates total hours. For tasks, it adds, lists, completes, or deletes items while keeping status updated. For finance, it records income or expenses (including currency and notes), then can summarize your day on request or via scheduled digests.
The workflow starts with a Telegram message (or a scheduled trigger for summaries and monthly reporting). OpenAI processes the intent and details, then Google Sheets becomes your source of truth. At the beginning of each month, it compiles work-hour totals by workplace, generates a formatted PDF report, and sends it back to a Telegram topic.
What Changes: Before vs. After
| What This Eliminates | Impact You’ll See |
|---|---|
|
|
Real-World Impact
Say you log work twice a day (start and finish), add 5 tasks a week, and record 10 expenses a week. Manually, even “quick” logging is maybe 2 minutes each time: that’s around 40 entries weekly, or about 80 minutes of capturing, plus another hour at month-end to clean and total everything. With this workflow, you send a Telegram message in about 10 seconds per entry, and month-end becomes “download the PDF.” That’s roughly 2 hours back most weeks.
Requirements
- n8n instance (try n8n Cloud free)
- Self-hosting option if you prefer (Hostinger works well)
- Telegram for sending commands and receiving summaries.
- Google Sheets to store work, tasks, expenses, and emails.
- OpenAI API key (get it from the OpenAI API dashboard).
Skill level: Intermediate. You’ll connect accounts, paste a few IDs (like your Google Sheet document ID), and test Telegram commands.
Need help implementing this? Talk to an automation expert (free 15-minute consultation).
The Workflow Flow
A Telegram message (or a scheduled trigger) kicks things off. You send “Start work…”, “Add task…”, or “Spent 20 USD on…” and the Telegram Trigger captures the message and chat context.
The workflow routes your message to the right “agent.” A Switch node routes by topic, then a specialized AI Agent handles work time, task management, finance, or email operations. It uses short session memory so follow-ups in the same conversation still make sense.
Google Sheets is updated in real time. Depending on the command, the workflow reads the relevant tab (work/task/Expenses/email), appends a row, updates status, or removes a row. For work sessions, it also calculates total hours after you finish.
Summaries and reports come back to Telegram. Daily digests can be pushed on a schedule, and a monthly scheduler triggers a work-hours analysis, builds a formatted PDF, then posts it to your Telegram topic.
You can easily modify the command phrases and reporting language to match your team. See the full implementation guide below for customization options.
Step-by-Step Implementation Guide
Step 1: Configure the Telegram Trigger
Set up the incoming Telegram trigger that starts the assistant flow and routes messages to the correct topic handler.
- Add and open Telegram Incoming Trigger to receive new messages.
- Ensure Updates includes
messageso normal chat messages are captured. - Credential Required: Connect your
telegramApicredentials in Telegram Incoming Trigger. - Confirm Telegram Incoming Trigger is connected to Route by Topic to start message routing.
Step 2: Connect Google Sheets
Multiple Google Sheets tools power finance, tasks, email directory, and work tracking. Connect credentials once and select the correct sheet and document IDs.
- Open Sheets Data Reader and set Document to
My Assistantsand Sheet toExpenses. - Repeat document and sheet selection for Sheets Upsert Records and Sheets Remove Rows (finance records), Sheets Task Reader/Sheets Task Upsert/Sheets Task Delete (tasks), Sheets Lookup Rows/Sheets Append Row/Sheets Update Row/Sheets Delete Rows (email directory), and Sheets Work Reader/Sheets Work Upsert/Sheets Work Delete/Sheets Work Reader All (work tracking).
- Credential Required: Connect your
googleSheetsOAuth2Apicredentials in all Google Sheets tool nodes (16+ nodes). - Verify any field expressions used in Sheets tools stay intact, like
={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Start_Row_Number', ``, 'number') }}and={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Date', ``, 'string') }}.
Step 3: Set Up Topic Routing and Assistant Agents
Messages from Telegram are routed by forum topic name, then processed by specialized agents for finance, email operations, tasks, and work hours.
- Open Route by Topic and confirm the topic rules use
={{ $json.message.reply_to_message.forum_topic_created.name }}with right valuesExpenses,Gmail,task, andWork. - Verify connections from Route by Topic to Finance Assistant Agent, Email Ops Agent, Task Manager Agent, and Work Time Agent match the topic intent.
- Confirm each agent uses the incoming message text field
={{ $('Telegram Incoming Trigger').item.json.message.text }}. - For agent memory sub-nodes like Session Memory, Email Memory Buffer, Task Memory Buffer, and Work Memory Buffer, keep the session key expression
={{ $('Telegram Incoming Trigger').item.json.message.from.id }}.
Step 4: Configure AI/LLM Nodes and Memory
The assistant uses multiple LLM nodes to power agents, summaries, and email analysis. Ensure the correct language model nodes are connected to their respective agents.
- Make sure OpenAI Chat Engine is connected as the language model for Finance Assistant Agent.
- Confirm OpenAI Chat Base is connected to Email Ops Agent, OpenAI Tasks Chat to Task Manager Agent, OpenAI Work Chat to Work Time Agent, and OpenAI Report Chat to Work Hours Analyst.
- Verify summary agents use their mini models: OpenAI Mini Chat for Finance Summary Agent and OpenAI Task Mini for Task Summary Agent.
- Credential Required: Connect your
openAiApicredentials in all OpenAI chat and analyzer nodes (OpenAI Chat Engine, OpenAI Chat Base, OpenAI Tasks Chat, OpenAI Task Mini, OpenAI Work Chat, OpenAI Report Chat, and OpenAI Email Analyzer). - Credential Required: Gemini Email Analyzer already uses
googlePalmApi—verify the connected credential is valid before testing.
Step 5: Configure Email Intake and Analysis
This path monitors Gmail, fetches full email content, builds a structured payload, and analyzes it with Gemini and OpenAI.
- Set up Gmail New Mail Trigger and keep Simple set to
falsewith polling set toeveryMinute. - Credential Required: Connect your
gmailOAuth2credentials in Gmail New Mail Trigger and Retrieve Full Email. - In Retrieve Full Email, set Message ID to
={{ $json.id }}and Operation toget. - In Structure Email Payload, ensure fields map from
={{ $json.from }},={{ $json.subject }},={{ $json.body }}, and={{ $json.messageId }}. - Confirm execution flow: Gmail New Mail Trigger → Retrieve Full Email → Structure Email Payload → Gemini Email Analyzer → Telegram Gmail Alert.
Step 6: Configure Telegram Outputs
Multiple Telegram nodes send responses to different flows (finance, summaries, tasks, email alerts, and work reports).
- Set the Chat ID in all Telegram nodes to your target ID (e.g.,
[YOUR_ID]) including Telegram Notify, Telegram Summary Push, Telegram Email Ops, Telegram Task Reply, Telegram Task Digest, Telegram Work Reply, Telegram Gmail Alert, Telegram Gmail Fallback, and Telegram Send PDF. - Keep message text expressions intact, such as
={{ $json.output }}for the agent responses and={{ $json.content.parts[0].text }}for Gmail alerts. - Credential Required: Connect your
telegramApicredentials in all Telegram nodes (9+ nodes). - For Telegram Send PDF, keep Operation set to
sendDocumentand Binary Data enabled.
Step 7: Configure Scheduled Summaries and Reports
Schedules drive daily task digests, financial summaries, and monthly work reports with PDF generation.
- In Scheduled Summary Trigger, set the interval rule to your preferred cadence for finance summaries.
- In Daily Task Trigger, keep the interval with triggerAtHour set to
11for daily task digest timing. - In Monthly Report Scheduler, keep the interval field set to
monthsto generate monthly work reports. - Confirm flow: Monthly Report Scheduler → Work Hours Analyst → Split Work Reports → Build PDF Content → Convert HTML File → Telegram Send PDF.
Step 8: Review Code Nodes for PDF Generation
These nodes assemble a JSON report, build HTML content, and pass a binary file for PDF delivery.
- Open Split Work Reports and keep the JavaScript parser that extracts JSON from the AI response unchanged.
- In Build PDF Content, confirm the HTML template and file naming format
تقرير_${workplaceData.workplace}_${workplaceData.month}.pdf. - In Convert HTML File, keep mimeType as
text/htmland ensure the binary output is enabled for Telegram delivery.
Step 9: Configure Output and Response Messaging
Each agent returns a response that is sent to Telegram. Ensure the response handlers are connected and configured consistently.
- Ensure Finance Assistant Agent outputs to Telegram Notify with
={{ $json.output }}. - Ensure Email Ops Agent outputs to Telegram Email Ops, Task Manager Agent outputs to Telegram Task Reply, and Work Time Agent outputs to Telegram Work Reply.
- Verify scheduled summaries: Finance Summary Agent → Telegram Summary Push and Task Summary Agent → Telegram Task Digest.
Step 10: Test and Activate Your Workflow
Validate each path to ensure Telegram, Gmail, and Sheets operations work end-to-end.
- Click Execute Workflow and send a Telegram message into the correct topic to trigger Telegram Incoming Trigger → Route by Topic → the appropriate agent.
- Verify a successful run returns a Telegram response (e.g., via Telegram Notify, Telegram Email Ops, Telegram Task Reply, or Telegram Work Reply).
- Test the Gmail path by sending yourself an email and confirming Gmail New Mail Trigger → Retrieve Full Email → Structure Email Payload → Gemini Email Analyzer → Telegram Gmail Alert.
- Manually run Scheduled Summary Trigger, Daily Task Trigger, and Monthly Report Scheduler to confirm summaries and PDFs are delivered.
- When everything works, toggle the workflow to Active to enable production execution.
Watch Out For
- Google Sheets permissions can be deceptively tricky. If updates stop, check the connected Google account in n8n and confirm the sheet is shared with the right account and has the exact tab names (work, task, Expenses, email).
- If you’re using Wait nodes or external rendering, processing times vary. Bump up the wait duration if downstream nodes fail on empty responses.
- Default prompts in AI nodes are generic. Add your brand voice early or you’ll be editing outputs forever.
Common Questions
About an hour if your accounts and Google Sheet are ready.
Yes. You won’t write code, but you will connect Telegram, Google, and OpenAI credentials and paste in your Sheet ID.
Yes. n8n has a free self-hosted option and a free trial on n8n Cloud. Cloud plans start at $20/month for higher volume. You’ll also need to factor in OpenAI API costs, which are usually a few cents a day at light usage.
Two options: n8n Cloud (managed, easiest setup) or self-hosting on a VPS. For self-hosting, Hostinger VPS is affordable and handles n8n well. Self-hosting gives you unlimited executions but requires basic server management.
You can. Most customization happens inside the AI Agent “systemMessage” text (for work, tasks, finance, and email), plus the Google Sheets nodes where you map columns. Common tweaks include changing the command words you prefer (“clock in” instead of “start work”), adding new fields like client name or project code, and switching the response language or tone for your Telegram replies.
Usually it’s a bad bot token or the wrong chatId/message_thread_id. Regenerate the token in BotFather if needed, then confirm the workflow is listening to the same chat where you’re testing. If you’re using group topics, the thread ID must match the topic you want to post into, otherwise messages “disappear” into the wrong place.
For a small team, it’s plenty.
For this use case, n8n is usually the better fit because the logic isn’t just “if message contains X, do Y.” You’re routing to different agents, reading and updating multiple Google Sheets tabs, and triggering scheduled summaries and a monthly PDF report. Zapier and Make can do parts of that, but costs climb once you add branching, AI steps, and higher task volume. If you only want a simple “Telegram message → append to Sheet” flow, Zapier or Make is totally fine. If you want the full system, n8n stays flexible. Talk to an automation expert if you’re torn.
This workflow keeps your work hours, tasks, and expenses honest because they’re captured while you’re doing the work. Set it up once, then let Google Sheets stay clean in the background.
Need Help Setting This Up?
Our automation experts can build and customize this workflow for your specific needs. Free 15-minute consultation—no commitment required.