Budget: 25 EUR Deadline: 1 day
accurate estimate on cost and timelines after details, please contact
Good afternoon, I am looking for a specialist to automate business processes using AI.
I need a Telegram bot that automatically maintains an expense table in Google Sheets.
Sources:
• corporate email (our branded e-mail): invoices from suppliers come here (often PDF), even if they are not yet paid
• Gmail: emails from the bank about expense transactions come here
What the bot does:
1. Automatically retrieves new transactions from bank emails and adds rows to Google Sheets.
2. Automatically retrieves new invoices from corporate email and adds rows to Google Sheets (as “to be paid / not paid”).
3. Prevents duplicates (including from previous months): if a transaction/invoice already exists — do not add it again, but mark it as “suspected duplicate”.
4. Sends a report in Telegram: what was added during the day and what requires verification.
5. Checks for duplicate invoices:
- transaction from the bank / invoice from email
- invoice that was entered last month
If you tell me what columns are already in the table, I will add this to the technical specification in one line (so that the developer immediately understands the structure).
Budget: 25 EUR Deadline: 1 day
accurate estimate on cost and timelines after details, please contact
Budget: 150 EUR Deadline: 7 days
Hello! My stack is implementing on n8n + OpenAI + Google Sheets.
Architecture:
— Gmail API → n8n parses bank emails → extracts amount/date/recipient → adds a row in Sheets
— Corporate email → n8n + AI reads PDF invoices → extracts data → adds as "to be paid"
— Duplicate check through comparison of key fields (amount + date + counterparty)
— Daily report in Telegram on what has been added and what needs verification
I have experience with similar integrations — automation of data collection and transfer to Google Sheets.
A few questions for accurate assessment:
— Which bank? (important for parsing email format)
— Is the corporate email Gmail or another provider?
— What columns are already in the table?
Deadline: 5–7 days. Ready to discuss details!
Budget: 599 EUR Deadline: 10 days
Good day.
I am ready to take your project into work.
I will be able to implement such automation for you using n8n.
Write to me privately, we will discuss all the details and can start the implementation.
Budget: 150 EUR Deadline: 7 days
Hello! The task is absolutely clear, this is my specialized stack (Python + Parsing + API Integration).
In addition, I am currently developing my own product — an "e-accounting" system, so I am familiar with the logic of processing digital invoices, strict deduplication of transactions, and reporting from the inside, at the architectural level. I am ready to build for you not just a one-time script, but a reliable and autonomous automation system. I have 9 years of experience working with complex engineering networks, so I approach coding with rigor: the system must operate seamlessly, and every step must be logged.
Here’s how I envision the technical implementation of your project:
Data Gateway: I will set up automatic checking of corporate email on a specified schedule.
PDF Parsing: I will use libraries like PyMuPDF/pdfplumber for accurate extraction of text and numbers from invoices.
Duplicate Protection (items 3 and 5 of your specifications): I will deploy a local database (SQLite). Each incoming invoice will be hashed. Before writing, the script will check the data against the history and will firmly eliminate any duplicates from previous periods.
Integration and Reporting: I will set up the export of cleaned data to Google Sheets and connect a Telegram bot that will send you a brief daily summary.
Budget: 400 EUR Deadline: 14 days
Good day! I represent the Nexus Core team. We specialize in developing complex automation systems and integrating artificial intelligence into business processes. Your task of creating a Telegram bot for automatic expense tracking is completely clear to us: we will implement a system that will parse bank notifications and invoices from email through the Gmail API and IMAP, recognize data from PDF invoices using OCR (AI), and synchronize them with Google Sheets. We will pay special attention to the deduplication logic so that the system matches bank transactions with already entered invoices and checks the history for previous periods, excluding duplicates. For implementation, we use a modern stack: Node.js with the Telegraf library for bot logic, Google Sheets API for working with spreadsheets, and cloud solutions for parsing and recognizing documents. This will ensure high processing speed of emails and stability under load. Please let us know what volume of incoming emails is expected per day and whether you use two-factor authentication on corporate email? It would also be helpful to see the current structure of columns in your spreadsheet so that we can immediately lay down the correct database architecture. Our cases are protected by NDA; however, in private messages, we are ready to discuss in detail the implementation of such automation and data parsing systems.
Write in private messages — we will clarify the technical details, and we will prepare a final proposal for you with a fixed cost and a phased development plan.
Budget: 400 EUR Deadline: 7 days
the best implementation option - n8n with integration of google sheets, gmail, imap (corporate email), database if necessary and analysis of incoming files (pdf/xlsx) using code and AI
It is possible to additionally create a web interface with a dashboard and filters for search, visualization
contact me, I have experience in creating automated systems for analysis
Budget: 250 EUR Deadline: 10 days
Hello
I have a similar project - parsing PDFs/letters - recording them in tables
I need to see examples of the data from which to extract data and the exact structure of the table where everything will be uploaded
Write to me, we will discuss the details
Budget: 300 EUR Deadline: 1 day
Good day!
I am ready to implement this project "turnkey."
I have experience in developing Telegram bots with Google Sheets integration, email processing (Gmail API / IMAP), PDF parsing, and duplicate checking logic.
I can do:
• automatic collection of transactions and invoices
• duplicate checking (including past periods)
• statuses "to be paid / paid"
• daily report in Telegram
• stable deployment on the server
Budget: 300 EUR Deadline: 5 days
Hi,
I can build this Telegram bot for you. I've worked on similar automation projects involving email parsing, PDF extraction, and Google Sheets integration before.
Here's how it will work: the bot will monitor both your Gmail and corporate email accounts for new messages, extract transaction details from bank emails automatically, use AI and OCR to read invoice data from PDF attachments, write everything to Google Sheets with smart duplicate checking that looks at previous months too, flag any suspected duplicates instead of creating messy double entries, and send you a daily Telegram report showing what was added and what needs your attention.
For the duplicate checking, I'll match transactions and invoices based on amount, date, and vendor name. For invoices specifically, I'll also track invoice numbers to catch duplicates even if they're from different months.
If you share your current Google Sheets column structure, I can make sure the bot writes data exactly where you need it.
I'll use Python with Gmail API, Google Sheets API, Telegram Bot API, and OCR tools for reading PDFs.
Happy to answer any questions and start as soon as you're ready!
Youssef
Budget: 500 EUR Deadline: 14 days
Hello.
I am ready to implement business process automation in Python using a Telegram bot and integration with Google Sheets and corporate email.
Here is how I see the implementation:
Connecting to Gmail / corporate email via API (OAuth2).
Automatic extraction of transactions from bank emails.
Processing PDF invoices (pdfplumber / pypdf) and extracting key data: date, amount, counterparty, payment status.
Checking for duplicates by transaction ID / account number / document hash.
Recording data in Google Sheets via the official API.
Telegram bot for daily reporting:
— added transactions
— found duplicates
— items requiring verification
The architecture will be divided into modules (email, parsing, processing logic, writing to the table) so that the system can be scaled and refined.
Deadline for MVP implementation: 10–14 days.
After launch, support and functionality expansion are possible.
I am ready to discuss the table structure and details of document processing.
Budget: 149 EUR Deadline: 5 days
Good day. It sounds interesting, I see that the project requires detailed work. I can create a Telegram bot that automates processes and maintains an expense sheet in Google Sheets. Here is what I can implement: automatic collection of transactions from bank statements, adding new receipts-invoices, checking for duplicates, and reports in Telegram. It remains to clarify which specific columns are already in the table to set everything up correctly. My rate is 600 UAH/hour, as the project includes integration with Google API. I believe it will take about 5 days to complete, considering additional time for unforeseen situations.
Budget: 150 EUR Deadline: 3 days
Good day!
I have experience working with similar bots, previously implemented a similar one on the N8N platform.
Based on the requirements, this is the most suitable platform with its tools.
But I also have experience with Node.js, Make, SendPulse.
I am ready to help with the implementation!
Budget: 249 EUR Deadline: 3 days
Good day!
I can create a Telegram bot for automating expense tracking in Google Sheets.
Experience with similar tasks: there is Email Monitor — a service that monitors corporate email (IMAP, Gmail), retrieves emails with attachments (PDF, Excel), processes them, and saves them. It operates 24/7 on a VPS. There is also a working Telegram bot for orders with a database, reports, and photos. Integrations with Excel, ETL for importing data from tables.
For your task: the bot will monitor two inboxes (corporate email and Gmail), parse emails from the bank about transactions and invoices with attachments. It will add rows to Google Sheets, without duplicates (checking by amount, date, and details). A daily report in Telegram: what has been added, what needs verification, suspicions of duplicates.
Budget: 200 EUR Deadline: 2 days
Hello, I am interested in your project, I have good experience in this area, I can complete it quickly and with quality. I would be happy to discuss in more detail.
Budget: 250 EUR Deadline: 3 days
Good day!
Your project is identical to the order I made for a previous client.
https://freelancehunt.com/showcase/work/automation-for-cleaning-company/2020492.html
In brief, what I did:
1. Automatic addition from Gmail/WordPress site emails to Google Sheets
2. Google Sheets with 20 sheets with formulas, etc., for automatic analysis of applications and orders
3. Telegram bot for notifications about new applications (for admins), about new tasks (for workers), the ability to add, delete, etc...
I think we have a lot to discuss, as I am probably the only one who knows exactly what problems may arise in the project from development to deployment on the server.
We will discuss the price and deadline in private messages.
Budget: 150 EUR Deadline: 3 days
Good evening, Roman!
In general, the task is clear, but for an accurate response regarding deadlines and price, I would like to clarify some questions that arose after analyzing your task.
Please write in private messages — we will discuss the details and your wishes.
Budget: 200 EUR Deadline: 1 day
✋ Hello! We are the IT company dZENcode.
We are implementing a Telegram bot in Python with integration of Gmail and corporate email, AI analysis of emails and PDFs, recording in Google Sheets, and deduplication, based on the team's experience, best practices, and our own developments.
Is there already a table structure in Google Sheets?
Are we importing through the Gmail API and IMAP of the corporate email?
You can find detailed information about our services and rates on our website: Freelancehunt.
Take a look – we will discuss the details of the work further, write when you are ready.
The final cost is determined only after clarifying the volume and requirements.
___________________
Best regards,
Manager of dZENcode
Our strengths:
💎 10+ years providing IT services: Outsourcing, Outstaffing
🔥 90+ in-house specialists
🚀 Projects "from scratch" and for support
⚙️ SLA and post-production support
✅ Contract with the company, guaranteed results!
🔥 250+ public reviews since 2015.
Budget: 1100 EUR Deadline: 40 days
Good day. I write programs for automating various processes. I would like to start by looking at PDF files or emails. It will also naturally be necessary to connect OpenAI.
Budget: 300 EUR Deadline: 3 days
Hello!
I am ready to execute your project based on n8n.
Judging by the description, you need an analysis of the incoming data; Telegram here is more for you to receive reports at the designated time.
Functions can be added to the bot, depending on your wishes and needs!
Feel free to reach out, we will discuss in detail and implement your project!
Budget: 25 EUR Deadline: 1 day
Good day.
I have extensive experience in automating business processes and implementing AI solutions with the integration of Telegram bots, Gmail/corporate email, and Google Sheets.
I suggest moving to private messages for a more detailed discussion of the terms of reference, working time, and cost.
Budget: 100 EUR Deadline: 2 days
Hello, I have reviewed the technical specifications and I am ready to implement a Telegram bot for you that will collect new transactions from bank statements and invoices from corporate email and add new rows to Google Sheets. The bot will also send daily reports and check invoices for duplicates.
Cost: 100 EUR
Deadline: 2-3 days
Can you clarify which specific columns should be in the table? I am ready to start immediately after discussing the details.
Budget: 400 EUR Deadline: 10 days
Hello!
We are a team that has been developing bots for over five years. Our main tools are NodeJS and Python. We also work with any databases (MongoDB, SQL, Postgres, etc.), integration with payment systems, API services, and plugins.
We would like to discuss the details of your project, after which we can agree on a comfortable price and convenient deadlines for both parties. After the development is completed, we guarantee to provide technical support and consultations for 10 days.
You can find examples of already implemented and working products on our website - https://vaysed.me/ or in our freelance profile.
We look forward to your response!
Budget: 100 EUR Deadline: 3 days
Hello Roman, I am ready to complete your order, please write in private messages!
Budget: 400 EUR Deadline: 7 days
Hello, Roman!
I can implement it using n8n+tg+googlesheet. There are questions that require coordination, I suggest we discuss them in private.
I work towards results until the end. I will help set up this event and provide support.
Write to me, I am ready to start.
Budget: 100 EUR Deadline: 2 days
I can easily implement this bot.
A few clarifying questions:
Which bank? Letters in Russian/English? Is there a sample letter about the transaction?
Invoices — always PDF, or are there HTML/images?
Google Sheets — is there already a table with the required structure, or is it from scratch?
Check frequency — once an hour, once a day, or in real time?
Budget: 111 EUR Deadline: 1 day
Hello, Roman.
What columns are already in the table?
What data should I get from the email? (it depend on the columns),
So I hope to know more details about the table.
Should I send reports only once a day? Or should I send them immediately when changes are detected?
Best regards.
Ifeoluwa.
A system is needed for the automatic processing of large volumes of information using AI. I am currently using my own prompt in Claude. It works well with small texts, but with larger volumes, the neural network may skip parts, stop before the end, or report completion even though the material has not been fully processed. A system is needed that can accept a book of 200+ pages, several books, PDFs, DOCX, TXT, subtitles, transcripts of audio and video, or another large array of information and automatically process it from start to finish. One of the main formats for the result for each meaningful sentence: English version. •••••••••••••••••••••••••••• Russian version. •••••••••••••••••••••••••••• English version. •••••••••••••••••••••••••••• English version. •••••••••••••••••••••••••••• Russian version. •••••••••••••••••••••••••••• English version. Each meaningful line is output four times in English and two times in Russian in the specified order. The translation must accurately convey the meaning. Short sentences can be combined, and long ones can be divided into complete meaningful lines. The format must be customizable: the number of English repetitions and translations, their order, languages, separator, line length, main prompt, and saving different templates. For example, instead of English–Russian–English–English–Russian–English, any other sequence can be chosen. If the document cannot be processed in one request, the program should automatically split it into internal blocks, send them to Claude, ChatGPT, Gemini, or another model, check the result, repeat problematic parts, and combine everything into one file. The user should not have to manually copy text for four pages. It is necessary to check that no sentence, paragraph, or meaningful fragment is missed, that there are no duplicates between blocks, and that the structure corresponds to the template. The check should not rely solely on the neural network's assertion. Audio processing The system should also process large archives of audio, such as a Telegram channel with 300 broadcasts of about one hour each. It is preferable to automatically download audio or accept the entire archive, recognize speech, and process everything without manual involvement. A structured summary should be created for each broadcast: topic, main thoughts, important facts, examples, recommendations, and conclusions. Greetings, advertisements, conversational filler, and meaningless repetitions are removed, but useful information is retained. After processing, not only separate notes are needed, but also one comprehensive readable document where the information is organized by topics. If a topic was discussed in different broadcasts, the materials are gathered into one section, duplicates are removed, and links to the original recordings are preserved. The results should include: — a summary for each broadcast; — a general thematic document; — search by words and topics; — connection of conclusions with the original audio; — saving progress and continuing after errors. I can already perform most of these actions myself, but only on a small scale and manually. Therefore, I am also open to considering a more efficient way to download and convert audio to text if the contractor offers a solution better than what I currently use. What to include in the response Please write: — how the system will be implemented and what product I will receive; — which AI and speech recognition models will be used; — how completeness is checked and how omissions and repetitions are excluded; — whether prompts, the number of translations, repetitions, and their order can be changed; — whether it is possible to download materials from Telegram; — the cost of development, API, timelines, and the price for further improvements. The main goal is a universal system that processes large books and hundreds of hours of audio without manual involvement, does not lose information, and delivers a finished result strictly according to the chosen template.
We're looking for an experienced Blockchain Full-Stack Developer to help build a next-generation Endless Runner Web3 game with on-chain gameplay mechanics, NFTs, and tokenized rewards. This is an opportunity to work on an innovative game that combines modern web technologies with blockchain infrastructure. You'll collaborate with game developers, backend engineers, and designers to build scalable smart contracts, Web3 integrations, and a seamless player experience.
We specialize in obtaining grants for existing companies that plan investments. We came up with the idea of creating/connecting available AI models to search for companies that are planning or are already in the process of investing and to offer them grants for this purpose (we mainly deal with grants for the purchase of machinery and equipment). The AI would search available websites and registries to find investors. Then, it would also handle the automation of mailing to these companies and would filter out companies that: - fit into the lead categories (I think, 5-6 parameters); - replied to the email and are interested in the grant; Of course, additional suggestions are welcome; I am also considering Voice Calling and SMS sending. I would like to emphasize that I am not only interested in finding LARGE or very LARGE companies, but also smaller ones, for example, employing 8-50 people. And not just large cities, but also smaller towns. Sample target for testing: SUBCARPATHIAN For micro, small, and medium-sized enterprises (SMEs) and large enterprises from the Subcarpathian Voivodeship that belong to the security and defense industry. An enterprise from the security and defense industry is understood as an enterprise that: develops or manufactures products, technologies, or systems intended for military applications, related to national security, critical infrastructure protection, or citizen safety or provides services supporting security and defense systems (e.g., in the field of cybersecurity) or conducts research and development in the area of military technologies and security systems and which achieves a significant share of revenue from the sale of products, technologies, systems, or services in the area of security and defense, i.e., above 5% of total net revenue (cumulatively over the last 3 closed accounting periods). Support available for companies that conduct business in an organized and continuous manner in the Subcarpathian Voivodeship for a period of no less than 24 months counting back from the date of the call for applications. We have proposals for websites to search. Ultimately, the program would prepare a daily summary of such investors for us. Can someone help us with this? I read that it is possible, but I don't have time to deal with it myself :)
It is necessary to develop a service based on Claude or another suitable AI model that can automatically find competitor companies, contact them via email and phone, gather necessary information, and enter the results into a single table. Main task of the service The user specifies a specific request, for example: - to find out the price of a certain type of meat; - to find out the price of a specific type of wood; - to clarify the cost of a product or service; - to check the availability of a product; - to find out the delivery times; - to get the terms of cooperation. After that, the system should: 1. Find suitable companies. 2. Collect their contact details. 3. Send them personalized emails. 4. Call the companies using an AI bot. 5. Get answers to the questions asked. 6. Save all results in Google Sheets or another table. For each new task, the user should be able to change search queries, selection criteria, email text, and phone call script. Stage 1. Company database collection Stage 2. Email distribution and response collection Stage 3. AI calling of companies --- Important technical requirements - Ability to use Claude for generating emails, analyzing responses, and managing dialogue. - Ability to replace the AI model without a complete system overhaul. - Integration with Google Sheets. - Integration with Gmail or another email service. - Integration with an AI telephony service. - History of all emails, calls, and changes. - Ability to stop or pause a task. - Control of expenses for calls, emails, and AI requests. - Limitation on the number of calls per day. - Protection against resending emails and making repeated calls to the same company. - Compliance with legislation on phone calls, recording conversations, email distributions, and the use of personal data. --- Expected result As a result, there should be a service in which the user creates a task, specifies what information needs to be obtained, selects geography and sources, after which the system independently: 1. Collects a database of companies. 2. Finds contact details. 3. Sends personalized emails. 4. Calls companies according to the specified script. 5. Analyzes responses. 6. Forms a single table with results. 7. Shows from which source each piece of information was obtained. For the first discussion with the developer, it is also worth asking to separately estimate the cost and timelines for MVP, automatic parsing, AI telephony, and monthly infrastructure.
Hello everyone! There are currently many sellers on the market selling claude tokens through proxies. I need to test different sellers and understand which API works most reliably for coding claude code. You will need to authenticate through the terminal in claude code and monitor the stability of the API (run it under load) and find the most optimal one. Who can take this on right now?