Budget: 1000 UAH Deadline: 2 days
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!
Budget: 750 UAH Deadline: 2 days
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
Budget: 1000 UAH Deadline: 1 day
Hello! I have reviewed your request. The task is clear: scalable automation is needed for collecting Twitter (X) metrics directly into Google Sheets.
Budget: 2000 UAH Deadline: 2 days
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.
Dmytro Myrhorodskyi
Winning proposal- Projects 13
- Rating 5.0
- Rating 5 698
Budget: 777 UAH Deadline: 1 day
I had a browser extension that performed this task, so I will easily create a parser in Python.
Budget: 2000 UAH Deadline: 2 days
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.
Budget: 777 UAH Deadline: 1 day
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.
Proposals are currently absent
Budget: 4000 UAH Deadline: 1 day
Good day! I am ready to complete this project. Extensive experience in developing various applications.
Budget: 865 UAH Deadline: 1 day
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.
Budget: 15000 UAH Deadline: 21 days
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.
Budget: 8000 UAH Deadline: 3 days
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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