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Price monitoring (parser)

Translated67 USD

Client's review of cooperation with Dmitro Karpov

Quality
Professionalism
Cost
Contactability
Deadlines

Thank you, everything is great, the performer took all the wishes into account! I sincerely recommend ♥

Freelancer's review of cooperation with Olga Ko

Payment
Task setting
Clarity of requirements
Contactability

Thank you for the interesting project! Olga is always in touch, clearly sets tasks. I hope we will work together again)

  1. 316    6  0
    3 days67 USD

    Contact me, send me the websites, I will give a final assessment of the terms and the price of the parser.

  2. 1315    7  0
    4 days134 USD

    Good day.
    I am ready to take on your project.
    I can create such a price parser using no-code/low-code tools.
    Message me privately, we will discuss the details and find a solution for you.

  3. 336    4  1
    7 days67 USD

    Good day.
    I am ready to execute.
    Deadline - 7 days
    Python (code for gathering info) + Google Sheets (for presentation)
    From you, I only need a list of the exact website addresses to create the parser code for them.
    And here, the price will likely depend on the number of such stores, as each store has its own page layout.

  4. 282    1  0
    3 days67 USD

    😄 Hello,

    Thank you for the details regarding your vacancy. I understand your need for a comprehensive solution for monitoring prices on a specific range from several competitor websites and updating this data in a Google Sheets table. I believe my experience is suitable for this task.

    Previously, I worked on a similar project where it was necessary to regularly update prices from various e-commerce platforms for a given set of products and record these changes in a Google Sheets file. Although this task was not identical to yours, its main mechanism was very similar.

    In this project, I developed a Python script using the Beautiful Soup and Selenium modules. Beautiful Soup handled web scraping — it analyzed the HTML structure of the page, found the necessary elements, in this case, product prices by barcode or link. Selenium helped interact with dynamic pages, providing access even to content loaded via JavaScript.

    Next, I integrated the Google Sheets API to record the obtained prices in the appropriate sheet. Updates were performed on a schedule using Cron jobs, which ran my script 1-2 times a week. This ensured regular, periodic, and automated updates of data in the Google Sheets file.

    🕒 I am available for both part-time and full-time work, and I am flexible regarding time zones.

    I am confident that with my previous experience and the flexibility of the tools used, I will be able to perfectly implement your project. I assure you, you will not be disappointed with our collaboration.

    I look forward to the opportunity to discuss this project in more detail. Thank you for considering my proposal!

  5. 3631    17  0
    7 days134 USD

    Hello, Olga!

    I am ready to implement a system for automatic price collection for 1000 products from competitor websites and inputting them into Google Sheets.

    🔹 Functionality of the solution:
    ✅ Monitoring by barcode or product link
    ✅ Automatic data collection 1-2 times a week
    ✅ Saving in Google Sheets (Google API)
    ✅ Detection of price changes and trends
    ✅ Logging of updates and errors

    🛠 Technological stack:
    🔹 Scrapy / Selenium / BeautifulSoup (web scraping)
    🔹 Google Sheets API (automatic input into the spreadsheet)
    🔹 PostgreSQL / SQLite (if price history needs to be stored)
    🔹 Flask / FastAPI + Telegram API (optionally, if a bot is needed)
    🔹 Docker (for convenient deployment)

    🚀 Implementation options:
    1️⃣ Python script with automatic updates in Google Sheets
    2️⃣ Telegram bot with the ability to view price changes

    💰 Price and timelines depend on the complexity of the websites for scraping
    📅 Estimated completion time: 7-14 days after clarifying the details.

    I am ready to implement this project quickly and efficiently! I look forward to your response. 🚀

  6. 1240    34  0
    1 day67 USD

    Hello.
    I have experience in this field. Feel free to contact me.
    The price is negotiable.

  7. 358    5  0
    5 days89 USD

    I am interested in this project, using Python, I have experience in data parsing for clients on Prom.ua and other websites, payment and deadlines are negotiable.

  8. 376    10  3
    Winning proposal7 days67 USD

    Good evening!
    I would like to see the websites from which we need to parse data. I can offer a Java application that you could run independently at any time and receive an xls file with the updated list (or updated data via a permanent link in a Google Sheet).

    If you are interested in this option, please write, and we will discuss the details. I would be happy to collaborate!

  9. 4302    215  0   1
    5 days67 USD

    Good afternoon, I developed a similar tool for monitoring competitors on Prom and Rozetka. Please message me the details, we will discuss it in more detail.

  10. 2141    85  0
    3 days89 USD

    Ready to do it.
    ____________________________________________________

  11. 486    23  0
    111 days99 USD

    Good day. I can complete your task.
    I can write a server-side version for price monitoring, everything will be done on the server.
    To provide a price and timeline, I need to check the websites.
    I will set a conditional price and timeline.

  12. 3186    52  1
    1 day67 USD

    Good day

    Make your task quickly and efficiently

    Write, I will be happy to complete it

  13. 1770    20  0
    5 days67 USD

    I provide a price monitoring service, I will create parsers for each site and record the data in a Google spreadsheet. The price can only be stated after reviewing the sites and a more detailed task. Write to discuss the details and terms of cooperation.

  14. Another 4 proposals concealed
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Client
Olga Ko
Ukraine Kyiv  3  0
Project published
1 year back
228 views
Tags
  • C# Parser
  • Telegram
  • python
  • Google Sheets
  • Web Scraping