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Twitter data parsing

Translated17 USD

Client's review of cooperation with Dmytro Myrhorodskyi

Quality
Professionalism
Cost
Contactability
Deadlines

Good performer. Everything is fine, I recommend.

Freelancer's review of cooperation with Єvgen T.

Payment
Task setting
Clarity of requirements
Contactability

Everything is good, quick responses from the client, I recommend for collaboration.

  1. 175  
    2 days17 USD

    Good day.

    I have reviewed your task.
    I can implement automatic data collection from Twitter comments based on links from Google Sheets.

    I am ready to propose an optimal solution and discuss the details.

    I would like to clarify if you need a parser in the form of a program, or if a terminal option would be suitable.

    Sincerely,
    Matviy

  2. 2307    10  0
    2 days22 USD

    Good day!

    I have experience in developing parsers using Python + Selenium. I will connect automation for you to read Excel or Google Sheets. I guarantee quick execution and scalability for a large number of comments.

    Examples of work:
    - Parser for the online store Rozetka: https://freelancehunt.com/showcase/work/rozetka-parser-skraper/2003166.html
    - Parser for promotions on the ByBit exchange: https://freelancehunt.com/showcase/work/bybit-tokensplash-telegram-bot-parser/1992121.html

    Please write in private messages with an example link to a comment and once again the fields that need to be collected. Will it be purely comments, views, likes/shares, or will there be attachments with other responses or a post? Thank you!

  3. 601    5  0
    1 day22 USD

    Hello! I have reviewed your request. The task is clear: scalable automation is needed for collecting Twitter (X) metrics directly into Google Sheets.

  4. 1422    13  0
    2 days45 USD

    Good day.

    I have reviewed the task. I propose implementation in Python:
    - reading links from Google Sheets
    - collecting data from Twitter for each comment
    - automatic filling of columns B / C / D
    - readiness for regular execution

    I will create a solution with a stable architecture to handle large volumes of data in the future without issues.

    Please clarify:
    - should we collect only the number of comments, or also the text of the comments/responses?
    - will new comments be in the same table or in a new one?
    - please send an example of one link to a comment to check the format and available metrics.

    After this, I will be able to suggest the optimal approach, timeline, and budget.

  5. 5556    12  0
    Winning proposal1 day17 USD

    I had a browser extension that performed this task, so I will easily create a parser in Python.

  6. 1455    8  0
    2 days45 USD

    Good day, I have experience working with Python as well as Telegram bots, I can complete everything quickly and efficiently, write to discuss the details.

  7. 1562    7  0
    1 day17 USD

    I am among the top 5 developers in the category of "Artificial Intelligence and Machine Learning" among ~2100 specialists on the platform. I guarantee:
    - Fast and high-quality task execution
    - Strict adherence to deadlines
    - Regular communication throughout the entire process
    I would be happy to discuss the details of your project in private messages.

  8. Another 3 proposals concealed
  1. 172    1  1
    1 day89 USD

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

  2. 147  
    1 day19 USD

    Good day! I have reviewed your technical specifications, and I already have a parser written in Python + Selenium (Chrome is required for use), which parses the number of likes, comments, and replies and records them in a table. For the script to work, it needs the Google Sheet ID and the Google Service token; it uses real cookie files to log into the Twitter account, and all necessary keys are recorded in a config file. In case of tweet view limits, it simply switches to other accounts in the cookies folder. If you want to see the work process, I can send screenshots, screen recordings, and the finished table.

  3. 2138    22  2
    21 days335 USD

    Hello, I can parse Twitter well. I will do this in the form of a Telegram bot, where you can upload various tables and it will do the work.

    Write to me, we will discuss the details.

  4. 235    1  0
    3 days178 USD

    Hello! I have reviewed the task and can propose implementation using Playwright.

    I work with Python, have experience in browser automation and data collection from websites with dynamic content (including Twitter/X), as well as integration with the Google Sheets API.

    Here is how I propose to implement it:

    A script in Python + Playwright (real browser, without API emulation);

    Reading links to comments from column A of the Google Sheet;

    Opening each comment and collecting:

    the number of views,

    likes,

    responses (comments);

    Recording results in columns B / C / D respectively;

    Support for thousands and tens of thousands of links;

    Ability to specify links to any Google Sheets via configuration;

    Error handling, timeouts, deleted/closed comments;

    Speed optimization (queues, pauses, anti-blocking).

    If needed, I can:

    Add logging;

    Schedule execution;

    Prepare a version for server deployment.

    Timeline: 3–5 days for the first stable version
    Cost: $200–300 (fixed, further refinements by agreement)

    I am ready to discuss the details and propose an optimal architecture for your volumes.

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Client
Єvgen T. Sofico
Ukraine Kyiv  31  0
Project published
5 months 16 days back
199 views
Tags
  • twitter api
  • data parsing
  • python
  • Google Sheets