Budget: 1000 UAH Deadline: 1 day
Good day, I am ready to help, the task is quite interesting and simple.
Best regards, Yevhen. My portfolio and client reviews are available on my profile page.
A simple Python script is needed for Windows that works with Microsoft Edge, opens my LinkedIn feed, scrolls through it, finds posts with specific words, and writes the results to a file.
We had a working script, but a few days ago it stopped working due to an Edge update; it just no longer automates.
What the script should do
0. Read the list of keywords and the number of posts to process from the configuration.
1. Open Microsoft Edge.
2. Go to: https://www.linkedin.com/feed/
3. I log in manually if needed.
4. The script scrolls down the feed, for example, 30 posts.
5. It searches for the specified words in the posts.
6. If it finds a post with the required word, it writes to CSV or JSON:
post_url, author, text, matched_keyword
Doing it in Python and running it in Edge are mandatory conditions.
Budget: 1000 UAH Deadline: 1 day
Good day, I am ready to help, the task is quite interesting and simple.
Best regards, Yevhen. My portfolio and client reviews are available on my profile page.
Budget: 1000 UAH Deadline: 7 days
Hello, I worked on a LinkedIn post parser — we automated data collection from LinkedIn using Selenium, processing 500+ posts per session with keyword filtering and saving to CSV.
I have a question: did your previous script use webdriver-manager for automatic updates of ChromeDriver/EdgeDriver, or was the driver version specified manually? This is one of the most common reasons for failure after updating Edge.
I suggest we get in touch; I will provide you with free technical consultation and we can create a development plan + I will tell you about my team!
Budget: 1000 UAH Deadline: 1 day
Hello. After reviewing your task, I propose to develop a stable Python solution based on Selenium WebDriver that will ensure reliable automation of Edge and minimize the impact of future browser updates. I will focus on creating a modular structure with a clear separation of configuration (keywords, number of posts) and the logic for interacting with the DOM, using efficient CSS selectors or XPath for precise data extraction from the LinkedIn feed. I have significant experience in creating similar automation scripts and parsers, and I already have ready-made libraries and templates for processing web pages and saving structured data in CSV or JSON formats. This will allow for a quick deployment of the solution and ensure its long-term support. I suggest discussing all implementation details, final budget, and timelines in private messages.
Budget: 1000 UAH Deadline: 1 day
Hello.
It seems the problem arose due to an update of Edge or a change in the structure of LinkedIn. First, I suggest reviewing your current script for free. If it can be quickly restored, it will be faster and more cost-effective than writing everything from scratch.
If a new implementation is needed, I will create it in Python for Microsoft Edge, taking into account all your requirements.
The script will:
read keywords and the number of posts from the configuration
open LinkedIn Feed in Edge
allow manual authorization
scroll through the specified number of posts
find matches for the keywords
save post_url, author, text, and matched_keyword in CSV or JSON
work on Windows
For greater stability, I will use a modern approach without tying to EdgeDriver versions to minimize issues after browser updates. I will also add proper waiting for new posts to load during scrolling, as this often causes instability in such scripts.
I can initially check your old script for free or create a small prototype that opens Edge, scrolls through a few posts, and collects one found result. If everything suits you, I will complete the full implementation.
The cost is 1000 UAH.
Budget: 950 UAH Deadline: 1 day
Hello.
I can create such a script. I have already technically checked the LinkedIn feed: post cards can be retrieved, and I can get the author, text, link to the post, and match by keyword, and save the result in CSV or JSON.
I will do it in Python for Microsoft Edge:
- reading keywords and the number of posts from config
- opening LinkedIn feed
- manual login if needed
- scrolling the feed
- searching for the required words in posts
- saving post_url, author, text, matched_keyword
- a short instruction for running on Windows
I can also take a look at your old script first. If the problem is only with updating Edge or changing the LinkedIn layout, it will be faster to just restore it.
If you have any additional questions, feel free to reach out in private messages.
Budget: 1000 UAH Deadline: 1 day
Good day! I develop in Python, have worked on similar projects with React/Node.js, and am ready to collaborate.
Budget: 1000 UAH Deadline: 3 days
Hello, Serhiy!
The situation with Edge is quite clear — after the recent browser update, the old WebDriver simply lost compatibility with the new version, or LinkedIn has once again updated the tag classes for posts in the feed. This is a typical automation problem that I can promptly fix.
I specialize in Python scripts for parsing and automation (Selenium / Playwright) and am ready to set up a stable solution for you.
Here’s what I will do to ensure the script no longer "crashes" during updates:
Auto-update of the driver: I will connect the webdriver_manager library. It will automatically check the version of your Microsoft Edge at each launch and pull the required WebDriver by itself. You will forget about manual settings.
Session saving (User Data): I will configure the browser to launch through your existing Edge profile. This will allow you to log in to LinkedIn once manually, and the script will not require authorization at each new launch.
Flexible search and export: The logic for scrolling, reading configuration (keywords, post limit), and saving results in CSV/JSON will be implemented clearly according to your requirements. I will adapt the selectors for collecting post_url, author, and text to the current LinkedIn layout.
I will implement everything in clean Python, the code will be commented and easy to run on Windows.
Could you let me know if your previous script was written in Selenium? If the source files are available, I can take a look at them to quickly understand the structure of your config.
I look forward to collaborating!
Budget: 1000 UAH Deadline: 1 day
Hello, I can implement it.
I will set up reading configuration with keywords and the number of posts, automatic opening of LinkedIn Feed, scrolling the feed, searching for the required words, and saving the found results in CSV or JSON.
I have experience in developing Python automation and parsers with Playwright/Selenium.
As a result, you will receive a ready script with source code that will work in Edge, allow manual authorization, and be easy to configure for new keywords or a different number of posts.
Please let me know if you have a previous script? Perhaps it just needs to restore its logic, or can a new, more stable implementation be made?
Budget: 1500 UAH Deadline: 1 day
Hello. I specialize in automation and parsing with Python. After updates to Edge, WebDriver versions often break, causing automation to completely stop. I propose the fastest and most cost-effective option for you: let's first take a look at your existing script.
- If the problem is indeed only with the browser driver or a minimal change in layout, I will simply fix it. This will be quick and inexpensive for you.
- However, if the code is outdated or written incorrectly and repairing it is impractical — I will clearly explain why, and we will discuss creating a new, reliable script that won't break after Edge updates.
I am ready to take a look at your script code in private messages. Feel free to write.
Budget: 950 UAH Deadline: 2 days
Good day. I specialize in Python automation, I will solve the problem with updating Edge and restore the collection of posts from LinkedIn. I will write a script according to your algorithm with saving in CSV/JSON or fix the old code.
Budget: 1000 UAH Deadline: 1 day
Hello, Serhiy!
The task of restoring and modernizing the script for collecting posts from LinkedIn is completely understood. The failure of your previous tool after the Edge update is a classic Selenium issue, where the EdgeDriver version constantly breaks and loses compatibility with the new browser core.
I propose to rewrite the script based on the modern and significantly more stable Playwright framework.
Why this will permanently solve your problem:
1. No external drivers: In Playwright, we will connect your local browser via the parameter channel="msedge". The script will work directly with your Edge, and any future browser updates will never break the automation again.
2. Session preservation (cookies/profile): I will implement saving the authorization state to a context file. You will be able to log in manually once, and during subsequent runs, the script will pull the cookies and immediately start scrolling the feed without re-authorizations.
3. Clear filtering and export: The script will read the configuration with keywords, scroll through a specified number of posts (for example, 30), and save unique matches (post_url, author, text, tag) in CSV or JSON format of your choice.
I guarantee clean asynchronous code in Python with handling delays in loading elements to avoid account blocks.
The budget of 1000 UAH is completely acceptable. I am ready to implement and test the software today. Let's discuss the details in private messages!
Budget: 999 UAH Deadline: 1 day
Hello!
I am ready to quickly help fix your script, make adjustments for it to work correctly with the Edge browser, message me privately.
Budget: 1000 UAH Deadline: 1 day
Good day!
I understand the task.
I can either fix your script that has stopped working or create a new one.
Budget: 1000 UAH Deadline: 1 day
Hello.
I am a Python expert.
I have reviewed your requirements and can provide you with satisfactory results.
We can start immediately, and I look forward to beginning as soon as possible.
Thank you.
Budget: 1000 UAH Deadline: 4 days
Hello! Ready to take it on.
Stack: Python + Playwright with channel="msedge" — works specifically with your Edge, without a separate EdgeDriver, which breaks after updates (similar issue, judging by the description).
What I will do: the script opens the feed, scrolls through ~30 posts, searches for matches based on keywords, saves post_url, author, text, and matching word in CSV/JSON.
Clarifications before starting:
1. Is 2FA authorization needed, or is the session stored separately (cookies/profile)?
2. Has there been captcha/rate-limit when frequently running the old script?
Honestly regarding the risk: automatic scrolling of the LinkedIn feed is against their ToS, and frequent runs may lead to temporary account restrictions. Given that the previous script already worked — you are aware, just noting for transparency.
Deadline: 3-4 days. Price: 900 UAH.
Budget: 1000 UAH Deadline: 2 days
We have experience in browser automation using Selenium and Playwright. We implement this through the current driver for Edge, which correctly bypasses changes in LinkedIn's layout. The script will reliably scroll the feed and save data in the format you need. We are ready to promptly restore the functionality of your tool.
Budget: 1000 UAH Deadline: 2 days
Hello! I am ready to help you update and debug your LinkedIn automation script. Most likely, the issue arose due to a change in the Microsoft Edge driver version or an update to the website's HTML structure. I will rewrite the script using current automation methods (such as Playwright or updated Selenium), which will allow it to work more reliably in the future. I will also add a robust element waiting system so that the script does not "fail" when the feed loading slows down. Please let me know: 1. Do you use two-factor authentication (2FA) to log into LinkedIn? 2. Should I save links to posts or just their textual content? Best regards, Maxim.