Cloud VM Pricing Validation Platform

@Web1devloper

As a seasoned developer with over 8 years of experience, I have honed my skills across a diverse range of technologies and frameworks that perfectly align with your project needs. My expertise in Python, SQL, Selenium, Pandas and my knowledge around AWS and Azure are exactly what your cloud VM pricing validation platform requires. I have even crafted a robust Python automation framework to test cloud pricing data from the very platforms you mentioned. To add more value, I've also developed hands-on proficiency with various front-end frameworks such as HTML, CSS, JavaScript, React.js and back-end tech-stack like Node.js ensuring seamless compatibility between different layers of your platform. Additionally, maintaining data consistency is vital; I have built automated storage modules using SQLite and performed SQL-based validations to tackle duplicates, missing values and for historical price comparison - doing precisely what has been described in your project description. Last but not least throughput is as crucial as the end result. This is why my approach extends beyond mere automation. I generate comprehensive reports, summaries and dashboards to ensure that you can monitor pricing changes and regression results with ease -even if you have no technical background. So why settle for anything less when you can have the best? Let my solid skill-set and vast experience transform your vision for a bettercloud pricing validation platform into an actuality.

@designer69hub

As a seasoned automation engineer with a laser focus on quality, I am excited to propose my expertise for your Cloud VM Pricing Validation project. Over the past 8 years, I've honed my skills in Python and built numerous frameworks that handle data extraction, validation, storage, and report generation exactly like you need. Selenium-driven automation, PyTest expertise, and requests library familiarity are engines of my daily automation gears. Finally, as an advocate of modular architecture, reusable utilities and configurations management fitting for CI/CD pipelines I assure you efficiency in all tasks executed under this framework. My dashboards promise meaningful insights while virtually eliminating any chance of regression. Don't compromise with anything less than stellar- let's talk about how I can elevate this project with precision automation!

@Prutheus

Your description reads as a framework that already exists and needs building out or completing — Selenium with Page Object Model, PyTest, requests for API validation, SQLite storage, UI-versus-API comparison. Sensible design, and the hard part is not the automation, it is that AWS and Azure redesign their pricing calculators without notice. That is what I would build for: - Page Objects kept thin and selectors centralised, so a calculator redesign is a small, obvious fix rather than a rewrite across the suite. - API as the source of truth where a pricing API exists, with the scraped UI value compared against it. When they disagree, that is the actual finding — and the report should say which one moved. - Tolerant comparison with explicit rules for rounding, currency and region, so genuine mismatches surface instead of drowning in noise. - Failures that produce a screenshot and the parsed values, because a red test with no evidence costs an hour to diagnose. - Runnable in CI on a schedule, with results in SQLite and a readable summary. Background: Python automation and Playwright in my regular toolchain, pytest in production test suites, and data pipelines running unattended for industrial clients. Questions: does the framework exist already and need extending, or is it being built from scratch? And which cloud services and regions are in scope? Martin

@muneeb6767

I can build a robust Python automation framework like this, combining Selenium/POM, PyTest, API validation, SQLite/SQL checks, and automated reporting. I’m experienced with modular scraping and browser automation, and can deliver reusable CI/CD-ready architecture with logs, dashboards, and CSV/Excel regression summaries.

@KarthikTechCon

Hi, I’m Karthik, a Test Automation Architect with 15+ years of experience engineering robust Python-based QA automation frameworks, Web & API scraping engines, and CI/CD validation pipelines. Cost & Timeline: | Delivery: 6 Days M1 (Page Object Model UI Scraper & PyTest Setup for AWS/Azure): ₹2,500 (2d) M2 (API Validation & Direct Pricing Engine Comparison): ₹2,000 (1d) M3 (SQLite Storage Schema & SQL Data Quality Validation Rules): ₹2,000 (1d) M4 (HTML Reporting, Logging & CI/CD Pipeline Integration): ₹1,500 (2d) Technical Approach: UI Automation: Selenium WebDriver using Page Object Model (POM) to extract interactive UI pricing matrices across dynamic regions, instance tiers, and filters. API & DB Validation: Python requests library to fetch underlying REST endpoints, stored into SQLite; SQL scripts run automated regression checks for missing values, rate anomalies, and historical drift. Reporting & CI/CD: Integrated PyTest-HTML / Allure reporting + GitHub Actions / GitLab CI configuration. Confirmations: Clean, modular Python code ready for pipeline execution. Immediate start | 40 hrs/week availability. Milestone-based release & 30 days post-launch support. Looking forward to delivering this automation suite for you! Karthik

@kumarashish99

Hi, I can build this Cloud Pricing Validation & Test Automation Framework in Python. I have strong experience with AWS/Azure, Python automation, API testing, Selenium, PyTest, SQL, and CI/CD. I can implement: Selenium UI automation using Page Object Model AWS and Azure pricing calculator validation API-based pricing verification using requests Comparison between UI and API pricing Region, SKU, filter, and search validation SQLite/database storage and SQL-based validation Duplicate, missing, and historical price checks Automated regression testing HTML reports, logs, CSV/Excel exports Modular configuration and reusable utilities CI/CD-ready test execution I would structure the framework so additional cloud providers, regions, pricing products, and validation rules can be added without redesigning the system. Thanks

@alluankit01

Hi, I can build your Cloud VM pricing validation and test automation framework using Python, Selenium, PyTest, API validation, SQLite, and reporting. I will create a modular automation framework to scrape and validate AWS/Azure pricing data, test pricing calculators, search, filters, and region selections using Selenium with Page Object Model. I’ll also add API validation with requests to compare UI pricing against provider/API data. I’m comfortable with Python, Selenium WebDriver, PyTest, Page Object Model, API testing, SQLite, SQL validation, Pandas, CSV/Excel reporting, HTML reports, logging, and CI/CD-ready automation structure. Deliverables will include: * Python automation framework * Selenium POM structure * AWS/Azure pricing validation * UI calculator testing * API price comparison * SQLite data storage * Duplicate/missing value checks * Historical price comparison * HTML execution reports * CSV/Excel summaries * Detailed logs * README and setup guide I’ll focus on clean code, reusable utilities, accurate pricing validation, and clear reporting so the framework is easy to run, maintain, and extend later. Best regards Ankit

@thiagofoz87

I can deliver a structured Python automation framework for validating cloud pricing flows across UI and API layers, with focus on maintainability, reproducibility, and CI/CD readiness. For this project, I would organize the solution using a modular architecture with clear separation between Selenium Page Objects, API validation layers, reusable utilities, configuration management, and reporting modules. The validation flow can compare pricing values extracted from AWS/Azure calculators against API responses and persist historical results into SQLite for consistency checks, duplicate detection, and regression tracking. The framework would include: - Selenium + PyTest automation with Page Object Model - API validation using requests - SQLite integration for historical comparison and validation rules - HTML reports, logs, and CSV/Excel exports - Configurable execution for different regions, filters, and pricing scenarios - CI-friendly structure suitable for scheduled executions and regression pipelines I can also optimize execution stability with retry handling, explicit waits, reusable selectors, and structured logging to simplify debugging and future expansion. The estimated delivery below assumes a first stable version of the framework with core validation flows and reporting fully operational.

@JoseRCarvas

Hi — this is squarely my lane: I build Python test-automation frameworks with Selenium + PyTest, and I can deliver exactly the framework you describe. Plan: • Selenium UI automation using the Page Object Model over the AWS + Azure pricing calculators — search, filters, region selection, calculator outputs. • API validation via requests, cross-checking scraped UI prices against the provider pricing APIs. • SQLite storage + SQL validation: duplicates, missing values, and historical price-change comparison. • Reporting: HTML execution reports, logs, CSV/Excel summaries, and a change/regression dashboard. • Modular structure (reusable utils, config-driven, PyTest markers) ready to drop into CI/CD. I'll deliver a Git repo with README, region/service config, and a sample run showing the reports so you can verify it end-to-end. Quick scoping questions: which AWS/Azure services (VM/EC2 sizes, storage, etc.) are in scope for v1, and do you already have API keys for the price APIs or should it run UI-only first? Rating 5.0★. Ready to start on a funded milestone. — Ricardo

@shaun4014

I've recently helped a client achieve significant improvements in their cloud pricing validation processes through the development of an automated testing framework. I will assist you in creating a comprehensive and efficient pricing validation platform that meets your requirements for cloud pricing data validation and test automation. I understand that you are looking for a clean and user-friendly interface to validate pricing calculators and ensure accurate comparisons across various platforms. With extensive experience in Python automation, I specialize in developing scalable frameworks that integrate seamlessly with CI/CD pipelines. My services include UI automation, API validation, and data reporting, which align perfectly with your project needs. I can get started quickly and would be happy to discuss the project further. Regards, Shaun Kelly

@petropankovdev

Your spec is a validation framework, not a one-off scraper, so I would build it in that shape. Page Object Model for the AWS and Azure calculators (region select, instance filters, search), PyTest as the runner, and a separate requests-based layer that pulls the same SKUs from the pricing APIs, so UI vs API becomes a diff instead of a guess. Storage the way you described it: SQLite with a run_id per execution, then SQL checks for duplicates, NULL or missing fields, and price deltas against the previous run. That last check is the one that actually catches a regression. Output is a pytest-html report plus a CSV/Excel summary listing every price that moved, with regions, services and thresholds in one config file so CI can run it without touching code. So you are not buying on trust: within 2 days I send you the AWS calculator page object, the SQLite schema and one green PyTest run over 3 real SKUs. If the pattern is not what you want, you say so before the rest gets built. Relevant background: one completed project on this account, rated 5 out of 5, delivered on time and on budget. I have also delivered and had accepted a large-scale Python scraping pipeline that harvested and cleaned a research-contact database from journal and university-department sources, with deduplication and missing-field validation on the output, which is the same class of problem your SQL checks describe. Outside paid work, 10 merged pull requests into third-party open-source projects, most of them in a 178-star Go security tool, each reviewed and accepted by the maintainers. Rs 10,500 and 7 days for the full framework. Petro Pankov, BotCraft Group

@UmairBuildsAI

Validating pricing data against both the UI and the API is where most scraping projects fall short, catching discrepancies that only show up when the two sources are compared directly rather than trusting either one alone. I've built structured automation and validation systems before, including the Kununu scraper, which handled large-scale extraction with reliability at 367k profiles, and the Lead Enrichment Pipeline, which combined automated data extraction with structured backend validation. Portfolio: https://www.freelancer.pk/u/UmairBuildsAI I'd build the Selenium automation using the Page Object Model with PyTest for UI validation, pair it with API checks using the requests library, store everything in SQLite with SQL-based validation for duplicates and historical comparisons, then wrap it up with HTML reports, CSV summaries, and a modular structure ready to plug into CI/CD. Let's connect on a call and discuss. Best Regards, Umair

@rakhshanz3

As an experienced developer with a deep understanding of Cloud VM pricing and test automation, I believe I'm an unbeatable fit for your project. With my robust proficiencies in Python, Selenium, SQLite and much more, I can proficiently design and develop the automation framework to scrape and validate cloud pricing data from AWS and Azure platforms. On top of that, I am well-adept at generating detailed logs, reports and summaries so you can easily keep track of changes in pricing. My secure handle on cloud deployment will be an advantage for integrating the modular architecture to create a platform which is not only reusable but also compatible with CI/CD pipelines. This will guarantee efficient use of resources, stress-free report generation and strong configuration management which are crucial for your project's success. Lastly, as loyalty and meticulousness are paramount in this task, my prior experience in big software companies and as a CTO shows that I have what it takes to see the end-to-end technical development through for your project. My work has always been characterized by thoroughness in API validation; monitoring historical data for exceptions like duplicates or missing values; deeply logical SQL-based validation to compare scraped UI data with API validation data; and using database tools to store large datasets securely. Allow me to leverage these skills to meet and exceed your expectations for this job!

@mikhailmikhail80

Hi, I read your project carefully and I can deliver exactly what you need. I can start immediately and show you the first preview in a few hours. Let’s discuss the details.

@muhammadaariyan

Hi, I have 2 plus years of experience building Python automation and validation frameworks for data driven web and API workflows. Inconsistent pricing validation can let UI and API discrepancies reach production unnoticed. I can build a modular PyTest and Selenium framework using POM, requests, Pandas and SQLite, with SQL checks for duplicates, missing values and historical changes, plus HTML reports and CI ready logging. The API comparison layer is important because UI scraping alone cannot reliably prove pricing accuracy. Should validation cover both AWS and Azure pricing calculators from the first framework iteration? Happy to discuss details in chat. Regards, Muhammad Arriyan

@shridevi5

Hi, I can develop the Cloud Pricing Validation & Test Automation Framework described in your project. I have hands-on experience with Python, Selenium WebDriver, PyTest, Page Object Model, API testing, SQL, SQLite, Pandas and automation framework development, and I have been working on a similar automation project involving data collection, validation, database storage and reporting. For your project, I can build a modular framework covering: AWS and Azure pricing data collection/validation Selenium UI automation using POM + PyTest Pricing calculator, search, filters and region validation API vs UI pricing comparison using Python requests SQLite database storage and SQL validation Duplicate, missing-value and historical-price checks CSV/Excel summary generation HTML execution reports and detailed logging Reusable utilities and configuration-driven framework Dashboard/reporting for pricing changes and regression results Structure suitable for future CI/CD integration I focus on building the framework in a maintainable and reusable way rather than creating only individual test scripts. I can start immediately and provide the initial framework structure early so that you can review the approach before the complete implementation. Estimated delivery: 8 days Fixed price: ₹9,500 I would be happy to discuss the exact AWS/Azure pricing pages, APIs and validation rules before starting. Regards, Shridevi 9353543318

@karasyaka

Pricing discrepancies between AWS/Azure calculator UIs and APIs are the core risk, particularly when region and filter state changes. I’m new to this platform and am building my portfolio and reputation, so I keep a portfolio-level starting price for relevant first projects without reducing scope, validation, or responsibility. Plan of work: — Build a modular Selenium/PyTest POM suite for calculators, search, filters, and regions — Validate UI prices against AWS/Azure API responses with requests — Store runs in SQLite and add SQL checks for duplicates, gaps, and price history — Generate HTML reports, logs, and CSV/Excel summaries ready for CI use The result will be a reproducible Python framework with documented configuration and a test run proving UI/API consistency. I have built similar web parsers with API extraction, anti-bot handling, and Excel/Google Sheets exports. Which AWS/Azure calculator pages and API endpoints should be included first? Is CI/CD integration required in the initial scope, and which provider is used?

@CliveMSoftware

I've built several cloud pricing validation and test automation frameworks similar to what you're describing. I can deliver a complete Python framework with Selenium UI automation using Page Object Model, API validation with the requests library, SQLite data storage, and comprehensive HTML/CSV reporting. I'll ensure the architecture is modular and CI/CD ready with proper logging, configuration management, and support for AWS/Azure pricing calculator validation. With 14 existing bids, I can differentiate by delivering clean, production-grade code with detailed documentation and immediate availability to start implementation.

@manishmahto378

Hi, I have strong experience with Python automation, Selenium, PyTest, API testing, web scraping, SQL validation, and CI/CD-ready frameworks. I can build robust cloud pricing validation systems using Page Object Model architecture, reusable utilities, configuration management, API-vs-UI comparison, and automated regression testing. I can implement pricing calculator, search, filters, and region validation for AWS/Azure, store and validate historical data in SQLite, detect duplicates/missing values, and generate HTML reports, logs, CSV/Excel summaries, and dashboards. I’ll focus on maintainability, parallel execution, reliable test coverage, and easy CI/CD integration.