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Need a parser for exporting a catalog from a website (Python + Excel)

Translated45 USD

Client's review of cooperation with Yehor I.

Quality
Professionalism
Cost
Contactability
Deadlines

the project was completed on time, very carefully and professionally

Freelancer's review of cooperation with Lil A.

Payment
Task setting
Clarity of requirements
Contactability

Everything is fine!
I am glad to cooperate.

  1. 10738
     149  0

    1 day45 USD

    Good day. To assess the order, it is necessary to review the website. I would be happy to collaborate.

  2. 3529
     31  0

    1 day45 USD

    Good morning, I have been developing parsers for about two years. I implement everything quickly and efficiently.

  3. 834    8  0
    1 day45 USD

    I am asking you about this website. Either standard. Or if the website is dynamic, then through Play Write Python.

    Write to me to discuss the details; I can start today.

  4. 224  
    1 day45 USD

    Good day! I can parse the data and save it to an Excel file.

  5. 250  
    1 day45 USD

    Hello!
    I am ready to complete the task of developing a Python parser.

    What will be implemented:

    Authorization on the website using the provided username and password.

    Collection of the complete catalog: stock for each branch, weight, prices, photos, and descriptions.

    Uploading photos and correctly saving links/paths in the table.

    Exporting all data to Excel (structured file with columns: Name, Article, Price, Weight, Stock, Description, Photo link).

    The ability to restart for data updates.

  6. 1251    35  1   3
    1 day247 USD

    Hello, I will do it. It doesn't matter where to parse from.
    I have extensive experience in web development, data parsing, automation, etc. + I have written software for Excel.
    Can I review the full technical specification in private? Write to me and we will discuss the terms
    (price/term is just a filled parameter)

  7. 1970    25  1
    1 day45 USD

    Hello, I would like to take a look at the website and what exactly we are gathering. Please reply in private messages.

  8. 1422    13  0
    3 days45 USD

    Hello! 👋

    I can develop a Python parser for your website with authorization (via login/password).
    I will be able to automatically collect the entire catalog with the following data:
    • branch balances,
    • weight,
    • prices,
    • photos,
    • product descriptions.

    The result will be in Excel format (.xlsx) with neatly structured columns.
    I can also take into account all additional requests from your technical specifications.

    I am ready to discuss the details privately.

    Best regards,
    Oleksandr | Python Developer (parsing, Excel, automation)

  9. 2221    22  0
    2 days45 USD

    Good day.
    I will extract all the data from the website and create a convenient Excel file for work. I have successful experience working on similar parsers.
    You have described in detail what you need, so the task is clear to me. I will do everything quickly and efficiently.

  10. 1002    5  1
    3 days134 USD

    Good afternoon, I can create such a script for you in Python, we will parse, categorize, gather everything together, remove the HTML markup, and export everything nicely into an Excel file as you need, the term is 1-3 days, the price is 2000 UAH for 1 day.
    Why is it easier with me? The script will be interesting, not just an algorithm but built on AI, which speeds up the task and provides accurate information.)

  11. 5531    105  2
    1 day42 USD

    I can write a quick parser in node.js - if it suits you, please contact me....












    I can write a quick parser in node.js - if it suits you, please contact me....

  12. 631    5  0
    1 day45 USD

    Good day
    I can do it, contact me, we will discuss
    ---------------

  13. 32  
    3 days44 USD

    Experience in parsing is available.
    Need to clarify:
    • Which specific fields should be exported?
    • In what format is the Excel result needed (one file, multiple sheets, table structure)?
    • Deadlines for project completion.

    Also, please clarify possible complex issues:
    • Is there protection against bots (CAPTCHAs, request limits)?
    • What is the expected volume of data?

  14. 309  
    2 days45 USD

    Good day
    I have similar projects in my portfolio.
    I use Python and libraries Pandas, BeautifulSoup (bs4), Playwright, Selenium, OpenPyXL.
    Write to me privately — we will discuss the details.
    Thank you!

  15. 472    3  0
    2 days45 USD

    Ready to perform quickly and efficiently. Details can be discussed in private messages.

  16. 669    8  0
    1 day45 USD

    Good day.
    I have extensive experience in data parsing.
    To accurately assess the price and deadlines, I need to see the website.

  17. 3392    84  0
    Winning proposal4 days45 USD

    Ready to take it on.
    Need to clarify the order details, check the website, write!
    I use python, uv, github, docker.

  18. 1285    30  0
    5 days45 USD

    I have experience working with data, parsing, and interacting with Excel. I am ready to complete it in a short time. Before starting, I need to familiarize myself with the full technical specification.

  19. 3411    32  0
    1 day45 USD

    Hello!
    Please send the complete technical specification for familiarization with the website and what information and how many products to collect.
    The price and deadline are not final; the final ones will be determined after familiarization with the website.

  20. Another 5 proposals concealed
    1 proposal concealed
  • Vitalii Zhovnirchyk
    30 August 2025, 6:18 |

    Для оцінки потрібно побачити сайт який парсити та що з нього парсити

  • Yehor I.
    29 September 2025, 20:37 |

    Які там об'єми ?Скільки треба парсити в сторінках сайту або в об'єктах?

  • Yehor I.
    29 September 2025, 20:38 |

    Ризик блокування нажаль завжди можливий.

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Client
Lil A.
Ukraine Krivoi Rog  3  0
Project published
9 months 19 days back
263 views
Tags
  • pandas
  • Beautiful Soup
  • Excel
  • python
  • Web Scraping