Python developer for parsing unstructured data (Word, Excel, PDF) and synchronization with the database in Excel.

Hello! I am ready to take on the development of a Python script for automating your database. I have experience writing parsers for unstructured text, so I will be able to set up a flexible logic for data collection from .docx, .xlsx, and .pdf using a combination of regular expressions and the pdfplumber and python-docx libraries.

To ensure stable system operation, I suggest using pydantic — this will allow the script to automatically check data for errors before comparing it with the database. I will implement the actual comparison using pandas, which will ensure fast processing even of large volumes of information. So that you do not have to constantly change the code, I will move the key search settings to a separate configuration file.

In the end, I will provide clean code with comments, a requirements.txt dependency file, and a short instruction for quick setup on your PC. I would be happy to discuss the format of your database and start working on it.

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Hello.
In this project, the key is not just to read Word / Excel / PDF, but to consistently extract the necessary data from various structures, bring them to a unified format, and correctly synchronize with the current database in Excel.
I work with Python automation, document processing, table mapping, normalization, and data validation. For such tasks, it is important not only to extract fields but also to create a controlled pipeline: extraction -> normalization -> validation -> comparison -> sync.
I propose to do this through separate rules/mappings for document types, a normalized intermediate schema, and validation through pydantic, so that new or modified formats can be easily integrated without breaking the entire process.
I work with git, so I can deliver the result in a convenient format: code in GitHub / GitLab or as an archive, plus a launch instruction, requirements.txt, and basic environment setup.
If needed, I can start with a small proof of concept before approval, or using your samples: take 1 file each from Word / Excel / PDF, extract key fields, show the normalized result, and how the comparison with the Excel database will look, or I can demonstrate my similar system in action with my documents.
If needed, I will answer all questions in private.

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I propose an AI solution (payment is required for usage) for data structuring.

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Hello! I have experience in creating flexible tools for automating data processing and validation.

Here’s how I propose to implement your project:

Parsing: I will use pdfplumber for PDFs and python-docx/openpyxl for documents. For unstructured text, I will develop logic based on regular expressions (Regex) and flexible search patterns.

Validation through Pydantic: This is the best solution for your request. I will create data schemas that will automatically check incoming information for type conformity and the presence of errors before writing to the database.

Working with the database: I will implement reconciliation by unique identifier (ID/Email/SKU), the script will provide a clear report: what has been added, what differs, and what is missing.
…
Flexibility: To avoid rewriting code when changing formats, I will separate the parsing logic into individual configuration files or pattern dictionaries.

Result: Clean code in Python, requirements.txt, and a detailed instruction (README.md) for running in an isolated environment (venv).

I am ready to discuss the details and demonstrate the processing logic using one of your files as an example. I look forward to your feedback!

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Good day! 👋

I have experience working with Python and processing data from various file formats. I can implement a script that will automatically parse data from **.docx, .xlsx, and .pdf**, structure it, and perform **matching with the database by unique identifier**.

What I will do as part of this task:
I will implement a flexible parser using **pandas, openpyxl, python-docx, and PyMuPDF/pdfplumber**.
I will add logic for searching by **keywords and regular expressions** to correctly process even unstructured text.
I will create a **validation and comparison system with the database** (SQL or another - we will agree).
I will implement a check: whether a record exists, which fields differ or are missing.
… If necessary, I will use **pydantic for data validation** to enhance the reliability of processing.

You will receive the result in the form of:
clean and understandable code (GitHub or archive),
a **requirements.txt** file,
a brief **instruction for running and setting up**,
an explanation of the script's logic.

I can also propose an architecture that will allow **easy adaptation of the script to changes in file formats without rewriting the code**.

I am ready to discuss the details, examples of files, and the format of the database.
I can start working immediately after agreement.

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Hello!
I can implement such a script. I have extensive experience working with pandas, openpyxl, python-docx, processing unstructured text, as well as working with SQL/NoSQL databases. Please send an example of the input files and the database structure in private messages.
I will be waiting!

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Hello! I can implement it. Write to me privately to discuss all the details. I will be glad to cooperate!

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Gemini said
Your option is essentially correct, but let's add a bit more "weight" and expertise to it. It is important for the client to understand that the bot is not just a "toy," but a full-fledged professional tool.

Here’s how this can be formulated to sound convincing:

Good day! The task is quite clear, I have experience in developing similar parsers and automation systems.

As the most convenient implementation option, I suggest doing this in the format of a Telegram bot. This will give you several significant advantages:

… Convenience: You do not need to install Python, libraries, or set up an environment on your PC. You simply upload the file in the chat and instantly receive the result.

Accessibility: The script will work from any device (phone, work PC, laptop) 24/7.

Flexibility: I will configure the database and validation through Pydantic so that the system clearly sees the differences between your files and the database.

Autonomy: I will help deploy the bot on the server, so you won’t have to run anything manually.

I suggest discussing the details in private messages. I would appreciate it if you could send examples of the files — it is important for me to look at their structure to accurately assess the complexity of parsing and set up the correct matching logic with the database. I am in touch!

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Hello! Working with unstructured data is always a challenge that I enjoy. The main problem with such tasks is not in reading the files themselves, but in ensuring that the script does not "break" on the next document due to an extra space or a changed font.

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Hello! My profile is parsing unstructured data in Python, I have done similar work. Everything is in the stack:
— python-docx / openpyxl / pdfplumber — for extracting data from .docx, .xlsx, .pdf
— Adaptive parser: regex + keyword search for text without a clear structure
— Structuring in DataFrame (pandas) → distribution into columns
— Verification with the database by unique identifier: record exists / absent / differs
— Clean code on GitHub + requirements.txt + brief documentation for running
Additionally: I can add pydantic for validation and create a config file so that the code does not need to be rewritten when changing the format of input files. Write to me — I will clarify the structure of your files and database.

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Hello! The task is clear and relevant: working with unstructured data is always a challenge for parsing logic. I have experience with the specified stack (pandas, PyMuPDF, python-docx) and am ready to implement a flexible solution.

Here’s how I propose to solve your task:

Adaptive parsing: Instead of rigid bindings to coordinates, I use key anchor searches and regular expressions (RegEx). This will allow the script to "survive" minor changes in the document layout.

Architecture and Validation: For structure and data validation, I will definitely use Pydantic. This ensures that only valid data types will enter the database, and errors will be caught at the parsing stage, not during writing.

Comparison with the database: I will implement the "diff-check" logic: the script will clearly highlight which data is missing and which conflicts with the current database (using unique IDs).
…
Versatility: To avoid rewriting code when changing formats, I will move parsing settings (keywords, templates) to a separate configuration file (YAML or JSON).

What you will get in the end:

Clean, documented code in Python.

requirements.txt for quick environment setup.

Instructions/call: I will conduct a brief training on running and configuring the script on your PC so that you can work with it independently.

I am ready to discuss the structure of your database and examples of files to better orient on timelines and costs.
Your advantages for this position:

Pydantic: The client highlighted this as a "plus." I emphasized this in my response. It shows that you write modern, reliable code.

Configuration files: The answer to the question "how not to rewrite code" is to move settings to configs. This is a mature developer approach.

Training: Emphasizing that you will not just hand over an archive but will help run it removes the client's fear of "I won't understand someone else's code."

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Hello, I would like to take on your project. Let's discuss the details in private.

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1 day - 4000 UAH
Good day! I am ready to complete this project. Extensive experience in developing various applications.

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Good day, I have been engaged in parsing for more than 2 years (I developed the Ispa Parser Generator project). I am well-versed in both C++ and Python.

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Good day! I am ready to complete this project. Extensive experience in developing various applications.

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The meaning of chatting, I will just take and do it, without unnecessary words)))))))

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Good day!

I have extensive experience in developing Python scripts for automating data processing, parsing documents, and integrating with databases. I have worked with pandas, openpyxl, python-docx, pdfplumber/PyMuPDF, and have implemented flexible parsers for unstructured files using regular expressions and key field search logic. I can implement a complete pipeline: parsing .docx/.xlsx/.pdf, structuring data into tables, validating and reconciling with the database by unique identifier, and generating a clear report on missing or changed fields. I suggest moving to private messages to discuss the format of your files, the structure of the database, and to agree on the cost and timeline for implementation.

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I am among the top 10 developers in the category of "Artificial Intelligence and Machine Learning" among ~2100 specialists on the platform. I guarantee: - Fast and high-quality execution of the task - Strict adherence to deadlines - Regular communication throughout the entire process I would be happy to discuss the details of your project in private messages.

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Hello. I am ready to develop a Python script for parsing data from .docx, .xlsx, and .pdf, structuring it, validating it, and reconciling it with a database. I have experience working with Python, pandas, openpyxl, document processing, parsing unstructured data, regular expressions, and building clear processing logic. I can also implement a flexible architecture so that when the file formats change, the code does not need to be completely rewritten. What I can do within the project: parsing data from different formats; breaking down information into the required fields; reconciling with the database by unique identifier; detecting missing or changed data; preparing instructions for running and configuring; if necessary — a brief tutorial on how to work with the script.

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It is possible to write in Borland Delphi.

With Excel, it is a bit more complicated since there is a different number of columns. This means a separate program.

I have knowledge of Python, but it is not certain that I will apply it in this task.

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Hello

Google Drive

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Good day!
I have experience working with data parsing in .docx, .xlsx, and .pdf formats, and I have previously implemented automation for accounting processes. I would like to clarify the details regarding the documents themselves — how much they may differ in structure, in order to correctly establish adaptive processing logic.

I can offer not only a script but also a GUI solution for convenient process management (file uploads, processing initiation, result viewing). Of course, complete project documentation will be prepared with instructions for launching and configuring.

Here is my GitHub for reviewing examples of my work: [https://github.com/NazarShubeliak].

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Hello, I am developing scripts for data parsing to extract different document formats using Python (pandas, pdfplumber, python-docx). I can save the data in parquet format or create a database in PostgreSQL. If you need a server, I am ready to create it on Docker. After successful implementation, I will upload it to GitHub with installation instructions.

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Hello
I have experience with similar projects
1. Can I see a sample of the data? I need to understand if it is possible to extract information from these files.
2. I also need to understand if the data can be structured using standard methods or if the use of machine learning will be necessary.
3. It is best to package the project in Docker, you will be able to use it conveniently.

Write to me, we will discuss the details.

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Hello! I can implement such a parser. I work with Python (pandas, pdfplumber, pydantic).

My approach: instead of fragile regular expressions for unstructured text, I suggest using AI integration. This ensures that the script will find the necessary fields, even if their order in the file changes. For Excel and structured data, we will stick to classic processing for speed.

I will create clear documentation so that you can run the script without my assistance. I am waiting for file examples to discuss the final price.

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Good day, Rostislav!
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.

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Good day!

I professionally develop Python solutions for parsing unstructured data (Word, Excel, PDF) and synchronization with databases. I have experience with pandas, openpyxl, python-docx, PyMuPDF, and adaptive parsers.

Write to me in private messages, we will discuss the project details.

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Hello! I have experience in developing adaptive parsers specifically for unstructured text (Regex + key logic).

My approach to your task:

Stack: pdfplumber and python-docx for clean data extraction; pydantic for validation before writing to the database.

Flexibility: I will move the settings (fields, keywords) to a configuration file so you can adapt the script to new files without modifying the code.

Synchronization: I will set up a clear comparison logic with the database by ID (UPSERT logic) so you can see discrepancies and missing records.
…
Result: Clean code with comments + requirements.txt + video instruction for running on your PC.

I am ready to discuss the details and review sample files in private messages!

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Hello, I am ready to do it. I have all the necessary experience working with libraries and files. Send me the files in private, I will take a look at them.

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Hello!
In general, I specialize in scrapers and parsers, so I can complete your task. However, I would like to take a look at examples of the input files beforehand to understand the degree of "complexity" of the input data. This will actually affect the price and timeline (currently indicated are arbitrary).
I will provide the scripts in a convenient format, explain how they work, and if needed, I will help with setting up the environment.

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Hello! I am interested in your project. I have extensive experience in:

📊 Data processing: working with databases, structuring and analyzing information, automating the processing of large volumes of data, import/export and validation;
🤖 Automation and emulation of user actions; development of bots of varying complexity;
⚡️ Asynchronous and multithreaded parsing: collecting and processing data with performance optimization;
🔍 OCR and text search: recognition and structuring of information;
🖼 Media processing: working with images and multimedia;
🖥 Software development, desktop applications, system services and utilities;
📱 Mobile development: native and cross-platform applications;
… 🌐 Working with APIs and third-party services: integration, automation, and data exchange;
🗣 Translation and text processing: automation of translation, working with language models and text analytics;
🤖 AI/LLM solutions: integration and use of artificial intelligence, working with language models and automating intelligent processes.

I will complete the work quickly and efficiently. Contact me to discuss the details and deadlines of the project!

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Good day, I am ready to complete your task quickly and efficiently. I have extensive experience in creating various parsers. Please write to me in private messages to discuss the details. I will be happy to help)

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