Browser extension for parsing and sending messages

A simple program or Telegram bot is required for parsing participants of chats and discussions in Telegram channels. Functionality: The user enters a link to the channel or chat. If a link to a channel is provided, the program should automatically navigate to the "Discussions" section and perform parsing specifically for discussion participants. The result should export only unique links to user profiles without duplicates. Additional selection requirements: Only users with their own public channel specified in their profile should be included. The user's channel must have at least 200 subscribers. Users with smaller channels are not suitable. A maximally simple and convenient tool is needed: just paste the link and start collecting data based on the specified criteria. I am not a programmer, so I would appreciate an assessment of the feasibility of such a solution and your suggestions for the optimal way to develop it. Standard parsers are not of interest to us — the implementation of the logic described above is required. Responses to your proposals may be within a day.

Good evening, there is a task: you need to check the availability and relevance of the prices of products added to the website (the website is on the prom.ua platform) from the supplier's site 1-2 times a day. Can you calculate the price and how it will look?

Set up automatic daily updates of product availability on our website on prom.ua. We have a supplier who sends a price list of products in Excel format to our email every day. The items on our website and in the supplier's price list are the same. The values in the "stock" column are either out of stock, a number, or more than a box - these need to be updated on the site to either Ready for shipment or Out of stock. Items that are not in the supplier's price list should remain unchanged. Please propose a solution, timeline, and budget. Thank you in advance for your response, I look forward to collaborating with a specialist.

A project needs to be implemented for collecting and structuring a large array of images from open web sources (initially 2000 images). The task includes: - automated image collection; - uploading files in the highest available quality; - classifying images by categories. Expected results: - a structured image database; - a clear cataloging system; - delivery of the results via Google Drive or another agreed method;

Good day! Two tasks need to be completed: 1. Develop a product parser from an external website (10–40 thousand items, marketplace) with structured data saved in MySQL for subsequent output in WordPress. 2. Install and configure n8n on VPS, as well as organize AI content processing: prompt setup, text rewriting, image processing, SEO optimization, and text checking for AI detection. You can estimate the cost of completing both the entire project and each task separately. .