Implementation of the slider function (extension)

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.

Need an experienced Python developer to create an automation program for working with the website. What the bot should do: Log in to my account on the website. Continuously (24/7) monitor for new Work Orders. Upon the appearance of a new order, open its card. Analyze the information about the order (type of work, city, distance, description). Automatically accept orders that meet the specified conditions. If the order does not meet the conditions, skip it. Send notifications in Telegram about accepted and skipped orders. Requirements: Python. Playwright (preferred) or Selenium. Work through a regular browser. Transfer the complete source code after the project is completed. Provide installation and launch instructions. Mandatory experience in developing similar automation systems. When responding, please send examples of similar projects.

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;

Task type: video processing speed optimization Python - developer with experience in OpenCV, FFmpeg, MediaPipe

Development of a Telegram Mini App (Bot + WebApp) for selling digital goods and in-game currencies (Python / aiogram) Project description: A Telegram bot with a full WebApp interface is required for the automated sale of digital goods (Telegram Stars, Telegram Premium, in-game currencies/donations for PUBG Mobile, Steam, etc.). The project is called Aspect App. The main focus is on speed, smooth UI/UX in a Web3/minimalist style, and complete automation of product delivery after payment. Technology stack: Backend: Python 3.10+, aiogram 3.x (FastAPI for Webhook/API is welcome). Database: PostgreSQL / Redis (for sessions and caching). Frontend (WebApp): React.js / Vue.js / Next.js (at the developer's discretion, speed and smoothness of animations are important). Integrations: Telegram WebApp API. Main functionality (MVP): 1. Client side (Telegram Mini App): Main screen: Product categories (Telegram Assets, In-game Donations). Banner grid for promotions. Product catalog: Product cards with volume selection (e.g., 50, 100, 500 Telegram Stars or UC). Fields for entering player data (Player ID for PUBG). Cart and Checkout: Quick purchase in 2 clicks. Payment module: Integration of payment methods (CryptoBot API / TON Connect / other fiat gateways by agreement). Personal account: Order history, status tracking, referral system (balance within the app). 2. Admin panel (built into WebApp or separate bot): Catalog management (adding/removing products, changing prices). Order monitoring and sales statistics. User database mailing system. 3. Automation logic (A plus): Readiness of the architecture for integration with supplier APIs (API for auto-purchasing Stars/UC). At the MVP stage, some products may be issued with codes from the database. What is required from the contractor: 1. Development of the database and backend architecture in Python. 2. Layout and integration of WebApp (design mockup to be discussed, clean Web3 style, Glassmorphism is important). 3. Setting up secure transactions and payment webhooks. 4. Deployment on the server (Docker, Ubuntu, SSL setup). Candidate requirements: Experience in commercial development of Telegram WebApps for at least 1 year. Portfolio with launched and working Mini Apps (please provide links in your response). Clean, documented code. Working conditions: Work only through the Secure Deal (Safe / Escrow) of the platform. Payment is staged (the project is divided into Sprint 1: Backend + DB, Sprint 2: Frontend WebApp, Sprint 3: Payment integration and testing). Budget: To be discussed with the successful candidate (please indicate your price range and timelines in your response)