Automation of news parsing for the blog

Budget: 5000 UAH Deadline: 10 days

Hello Olen!
My experience in the IT field began in 2010.
By the way, I am originally from Lithuania. I was born in Klaipeda, and I had heart surgery in Vilnius. So Lithuania is like a second homeland to me after Ukraine. Unfortunately, I do not know Lithuanian, but in our time, this is really not a problem.

You can familiarize yourself with my portfolio in my profile - Freelancehunt

I am ready to quickly and qualitatively implement your project!

Budget: 700 UAH Deadline: 6 days

I will set up a pipeline in n8n: parsing websites through RSS and Playwright, Reddit through the official API, X.com through scraping with session rotation, saving in Notion with metadata of the source and platform. I will connect an AI layer with separate prompts for each output format (LinkedIn, Threads, blog) and validation of length and keywords before saving. Question: Is LinkedIn planned to be parsed through a personal account or is there corporate access to the API?

Budget: 4500 UAH Deadline: 2 days

Good day!
I have 3+ years of experience in developing parsers, AI automations.
I suggest discussing the details, as well as the cost and deadlines in private messages.

Budget: 4000 UAH Deadline: 7 days

A system can be assembled: sources → AI filter → Notion → content for platforms. Each platform automatically receives its own style and format. Write to me in private messages, we will discuss the details.

Budget: 4500 UAH Deadline: 10 days

Good day, Alexander!

I can set up automation for data collection and processing through Make.com. I am ready to discuss the details and offer an optimal solution.

Budget: 1111 UAH Deadline: 1 day

I will create a free test script (Node.js + Playwright) in a couple of days for data collection from one source (for example, Reddit or a specific website) and process it through the LLM API — you will see how the system automatically parses information, filters it for relevance, and stores structured results in your Notion.

If the approach with a custom script through a headless browser works — I will develop a full architecture. I will implement bypassing protection for complex sources (X.com, LinkedIn), set up automatic text generation through the language model API based on your individual prompts (separately for LinkedIn, Threads, Instagram, as well as rewriting or reviewing for a blog with keyword selection). A custom script is more reliable and significantly cheaper to operate than Make.com for large volumes of data.

If you do not like the test parser — you owe nothing, you will simply see an alternative implementation option.

What I need from you now to get started:
— one priority source for the test (link)
— brief relevance criteria (what the AI should include and what to exclude)
— format and columns of the table in Notion where the test result will be stored

As soon as you send the details — I will start working and later send you a video demonstrating the script's operation and a link to Notion. Expand

Budget: 4000 UAH Deadline: 4 days

Hello, Alexander! I am Yuri, happy to have the opportunity to introduce myself) The order is quite interesting and promising, so I will be glad to do everything for you at the highest level in the shortest time. I am waiting for you in private messages)

Budget: 7777 UAH Deadline: 15 days

Hello! The project sounds extremely interesting, and I would be happy to take on the implementation of such a system. I am truly eager to tackle this engineering challenge rather than another e-commerce site.

I have a few suggestions regarding the architecture to make the solution scalable and reliable:

Microservices approach: I suggest building the system on microservices. I have extensive experience with RabbitMQ, which will allow for flexible management of task queues for data collection and processing (if the AI crashes or there are connection issues, the request will be queued and will continue execution even after the server is restarted).

Efficient parsing: For data collection, I advocate using direct HTTP requests and reversing internal APIs where possible. This is significantly more reliable and faster than using standard browser automation, and it consumes far fewer resources (I have experience and examples).

Local AI solutions: If privacy or token costs are critical for the project, I can deploy local models. I have experience with ComfyUI and creating Nvidia-compatible Docker containers to run AI locally (massed compute, etc.), as I would use a small neural network with 32-64 billion parameters, which would greatly reduce token expenses.

Flexible distribution: We can set up separate processing pipelines for each platform (LinkedIn, X, blog, etc.) with individual prompts and validation.

I will be able to provide an exact cost after agreeing on all the details. For your comfort and transparency in the process, I suggest a milestone payment system. We will break the project into logical steps (for example: parsing → AI logic → integration with Notion), where each stage is paid separately after demonstrating the completed result.

If you're interested, I can send a rough architecture diagram in private messages to discuss the technical implementation in more detail. Expand

Budget: 22000 UAH Deadline: 14 days

Hello! I understood the task of automating news parsing for the blog. The main difficulty lies in integrating various sources (websites, x.com, reddit, linkedin) and processing data using AI. I propose to implement the following: set up data collection from the specified platforms, create an AI-based processing algorithm for filtering relevance, and then save the results in Notion for further work.

To implement this automation, it will be necessary to analyze which specific data to extract from each source and what prompts to use for writing materials for different platforms. There is a risk that some sources may have API limitations or difficulties accessing data. I would like to clarify which sources are a priority for you and whether specific configurations are needed for each platform.

The deadline for completion is 14 days, and the project cost is 22,000 UAH. Please note that the actual cost is higher than the technical limit of the platform. Let's discuss the details and determine when we can start.

Budget: 5000 UAH Deadline: 3 days

I am ready to perform your task with high quality in the shortest possible time. I have practical experience in development, pay attention to details, and always bring the work to a result that meets or exceeds the requirements.

I would be happy to discuss the details and start working immediately.