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Thomas R.

@thomasr32

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Senior Python Developer

$25 USD / Hour
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Japan (2:59 PM)
Joined on December 20, 2024
$25 USD / Hour
Greetings! ? I'm a software engineer with extensive knowledge of the entire development cycles of many different application kinds. My proficiency in a variety of programming languages and technologies, including: ❇️ Python (Flask, Fast API, Django, GPT API, Pytest, BeautifulSoup, Selenium) ❇️ Web Scraping, Data Mining, Web Crawling, Data Parsing, Automation, Bots ❇️ Fullstack (Java Script MongoDB, Express.js, React, Node.js) ❇️ DevOps - Ansible, Docker, Kubernetes, GitLab CI\CD (AWS/Azure/DO/GCP) ❇️ API development: RESTful API, Web Services, HTTP Methods, JSON/XML, API Security, OAuth, API Documentation, API Testing, Postman, Swagger, API Gateway, Microservices, Endpoint Design ❇️ API integration: Binance API, Telegram API, OpenAI API, BetFair API, OddsJam API, Stripe API ? My services include ? ⚙️ Web Scraping | Data Mining | Data Extraction ⚙️ Web Automation | Data Cleaning | Data Collection ⚙️ Crypto Trading Automation | Automate Trading Strategy ⚙️ Interactive Brokers Bot | Crypto Trading Bot | Dashboard ⚙️ Data Analysis | Data Visualization | Data Entry ⚙️ Auto Fill Web Forms (Just a click away!) ⚙️ Merge Multiple CSV Files into a Master File ⚙️ Custom Scripting for Your Specific Needs ?️ AWS SERVICES ?️ Lambda, Step Functions, API Gateway, AWS Glue, Step functions, AWS Batch, Elastic Beanstalk, Auto Scaling, S3, CloudFront, CloudFormation, Route53, CodeBuild, CodeDeploy, CodePipeline, SageMaker, IoT, Serverless Computing, RDS, CloudTrail, Aurora, DynamoDB, Redux, Lambda + TypeScript. ? I successfully engage in WEB SCRAPING, DATA SCRAPING, DATA MINING, and DATA COLLECTION, applying modern technologies and frameworks. In my work, I use BeautifulSoup for parsing HTML/XML Selenium WebChromeDriver and Playwright for interacting with dynamic websites, as well as employ anti-detect browsers and proxy servers to bypass restrictions. For automatic captcha recognition, I use captcha solvers or my own solutions. In the field of data processing and analysis, I actively use Python with modules, including Pandas, Requests, and Scrapy. = SITES AND DIRECTIONS TO SCRAPE = ?️ Sportsbook scraping (Pinnacle Sports, Bet365, Unibet, WilliamHill, MarathonBet, FanDuel, BetFair, ESPN, BetMGM, 188bet, PariMatch, FavBet etc.) ?️ Gambling scraping ([login to view URL], Pin-Up, Bovada, DraftKings, Caesars) ?️ E-Commerce scraping (ex: Amazon, Walmart, Tesco etc.) ?️ Real estate scraping (ex: Zillow, Realtors, Redfin, realestate etc.) ?️ Hotel Booking scraping (ex: Expedia, [login to view URL], [login to view URL] etc.) ?️ Restaurants scraping (ex: Swiggy, Zomato, Ubereats etc.) ?️ B2B Lead Generation scraping (ex: Yellowpages, Yelp, [login to view URL], justdial etc.) ?️ Tenders websites scraping ?️ Wikipedia scraping ?️ LinkedIn Automation Tool: Automatic send request with adding notes, Automatic send massage.
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