Data Platform Usability Verification

@ZohaibRoy

⭐⭐⭐⭐⭐ Test and Optimize Web-Scraping Platform for Performance and Accuracy ❇️ Hi My Friend, I hope you are doing well. I've reviewed your project requirements and see you are looking for a tester for your web-scraping platform. You need someone to ensure pages load quickly and data accuracy is maintained. Look no further; Zohaib is here to help you! My team has successfully completed 50+ similar projects in web testing and optimization. I will evaluate performance, identify bottlenecks, and provide actionable feedback based on my findings. ➡️ Why Me? I can easily conduct thorough testing of your web-scraping platform as I have 5 years of experience in performance testing, web scraping, and data validation. My expertise includes analyzing response times, creating test cases, and documenting results. Besides, I have a strong grip on both technical and non-technical aspects of web applications, ensuring a comprehensive review. ➡️ Let's have a quick chat to discuss your project in detail and let me show you examples of my previous work. I look forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ Web Scraping ✅ Performance Testing ✅ Data Validation ✅ API Testing ✅ Load Testing ✅ Automation Testing ✅ Bug Reporting ✅ Screen Recording ✅ Documentation ✅ SQL Databases ✅ User Interface Testing ✅ Analytical Skills Waiting for your response! Best Regards, Zohaib

@PINESCRIPTERR

Hi, I read your project "Data Platform Usability Verification" and I can help with it. I would focus on backend structure, integrations, and reliable data flow. I noticed the relevant skills include Python Excel Web Scraping Usability Testing Data Mining Data Extraction Data Analysis Data Management. My approach: 1. Review the current setup and confirm the exact requirements. 2. Implement the requested work in a clean, maintainable way. 3. Test the result and provide a clear handover with any setup notes needed. Clarification questions: 1. Which external services, APIs, or payment gateways need to be connected, and will test credentials be available? 2. What backend structure, database, user roles, and admin access should the implementation support? 3. What source systems, output fields, and validation rules should the automation or data flow follow? Best regards, Houssame

@akkiwadhwa1995

Hey Hope this message finds you in the best of tech-savvy spirits! As a web scraping specialist and data scientist, I bring together a diverse set of technologies and tools to extract valuable data from the web efficiently and effectively. My expertise encompasses Python-based libraries like BeautifulSoup, Scrapy, and Selenium, ensuring that I can adapt to various scraping challenges and requirements. Additionally, I have experience with data storage and processing technologies such as SQLite, MongoDB, and Pandas, allowing me to handle, organize, and analyze the scraped data with precision. Whether it's e-commerce data, news articles, social media content, or any other web source, I have the technical prowess to craft custom scraping solutions that deliver clean, structured data for your specific needs. Let's collaborate to harness the power of these technologies and create a web scraping solution that provides you with the valuable insights you seek.

@RadoslavPompura

Hi, I’m interested in this junior developer role. I have a strong willingness to learn, solid problem-solving skills, and I enjoy working in a collaborative team environment. I can assist senior developers with coding, debugging, testing, and code reviews while improving my skills with new technologies and frameworks. I’m comfortable communicating in English and ready to contribute with a responsible attitude, clean work habits, and steady growth. This opportunity matches my goal of building long-term experience in software development while supporting the team’s daily tasks.

@solutionsplayers

Hi, I can start this project right away and deliver accurate results. I noticed a few key areas where performance and data accuracy should be validated to catch issues before your public release. Thanks!

@ukokab

✅ I have tested full‑stack scraping platforms from both technical and non‑technical user perspectives. I will create/use scraping tasks for websites, APIs, and databases; note load times, bottlenecks, and inaccurate fields; provide screen recordings/annotated screenshots for sluggish or wrong data; and deliver a summary report (performance, accuracy, UI friction). I can iterate quickly with you between test rounds. **Question:** Do you have a staging environment with sample target URLs and a mix of simple/complex scraping tasks to start the first round? Best, Usman K https://www.freelancer.com/u/ukokab

@shabahathabib

Hello, Your project requires both performance validation and data accuracy testing before public release, and I can provide structured, detail-oriented feedback from both a technical and end-user perspective. I will test scraping workflows across websites, APIs, and relational databases, evaluate load times under normal and heavier usage, and verify extracted data for consistency and accuracy. Any issues found will be documented with annotated screenshots or screen recordings, making them easy to reproduce and fix. You'll receive a concise report covering performance observations, accuracy findings, UI/UX friction points, and actionable recommendations. I communicate clearly, respond promptly during testing rounds, and can adapt as fixes are deployed. Ready to start immediately. Regard, Shabahat**

@talhaalmasch

Hello, I have 4+ years of experience in data analysis, web scraping, QA testing, automation, and analytics platforms. I can thoroughly test your web-scraping and data-extraction platform from both a technical and end-user perspective by validating scraping accuracy, API and database integrations, workflow reliability, performance under load, and overall user experience. I will provide detailed feedback with annotated screenshots or screen recordings, identify bottlenecks and data inconsistencies, verify extracted results against source systems, and deliver a concise report covering performance metrics, accuracy findings, and UI/UX improvement recommendations. Relevant Certifications: • Introduction to Data Analytics – IBM • Python for Data Science, AI & Development – IBM • Business Intelligence Essentials – IBM • Databases and SQL for Data Science with Python – IBM • Exploratory Data Analysis with Python and Pandas – Coursera Regards, Talha Almas Data Scientist / Data Analyst / Full Stack Dev Relevant Skills: QA Testing, Web Scraping, Data Extraction, Python, API Testing, SQL, Database Validation, Performance Testing, Load Testing, Data Quality Analysis, Automation Testing, Bug Reporting, Screen Recording, UI/UX Testing, Root Cause Analysis, Business Intelligence

@riyaazt

Hi there. This is an interesting project. One thing that stood out to me immediately is the need to verify both the speed and accuracy of the data platform under varying loads and conditions, crucial for a successful public release. I have hands-on experience in testing web applications for performance and accuracy, ensuring optimal functionality across user types. My question is: how are you currently managing user feedback and prioritizing fixes within your testing iterations? I look forward to collaborating on this data platform usability verification to achieve seamless performance and reliable data extraction. Regards, Riyaaz

@mubashir021

Hello, your data platform usability verification needs a keen eye to ensure both performance and accuracy, and I can provide that insight. I am Mubashir, a Full-Stack Developer with 6+ years of experience in web scraping and data extraction. I understand that you want to confirm that pages load quickly and that the data pulled is consistently accurate, which is crucial before your public release. 1. First, I will create and execute scraping tasks for the specified websites, APIs, and databases to assess performance under normal and heavy loads. 2. Then I will monitor for any slowdowns or bottlenecks, documenting these issues with concise screen recordings or annotated screenshots. 3. After that, I will analyze the accuracy of the data returned, summarizing my findings in a report that highlights performance metrics and any UI friction points I notice. Even if you're not sure yet, I will provide a FREE detailed quotation and project proposal, including a suggested roadmap, at no cost to you. You can use this proposal as a solid reference document for any other freelancer. >>> My Work: https://www.freelancer.com/u/mubashir021/Data-Analyst-30537935 <<< Drop me a message and let's get this sorted. Mubashir

@abhiramukk

Hi, This is AB from United Kingdom. I understand the importance of ensuring optimal performance and accuracy in a data platform. With experience in full-stack development, I can thoroughly test your web-scraping system under varying loads to identify potential bottlenecks and accuracy issues. My approach involves creating diverse scraping tasks across websites, APIs, and databases to assess speed and data consistency. I will provide detailed screen recordings for any sluggish behavior and deliver a comprehensive performance report with accuracy metrics and UI feedback. Quick technical checks to make sure we're aligned: Q1- Are there specific APIs or databases you prioritize for testing? Q2- How do you currently handle error handling and reporting within the platform? Let's collaborate to fine-tune your platform for a successful launch.

@JoseRCarvas

Hi — I'll test this as your *technical* operator: I build Python web-scraping + data-extraction pipelines, so I know where these platforms slow down and where fields silently go wrong. Plan, on the two things you care about: 1) Speed under load — light single-site jobs plus heavier concurrent/scheduled crawls; I'll time page loads and job runs and flag real bottlenecks (queueing, rate-limit stalls, slow renders, DB-backed jobs), noting where it degrades, not just that it does. 2) Accuracy — I'll check pulled fields against the live source across web, API and relational-DB targets: wrong/blank/misaligned fields, encoding issues, pagination drops, dedup errors — the things that look fine in a demo and break on real data. You get: annotated screenshots (plus short screen recordings for anything sluggish or wrong) and a concise report — performance findings, accuracy metrics, and UI friction on both the advanced settings and the no-code flow. Two quick questions so round 1 lands: (a) your target for "heavy load" — rough concurrent jobs / rows per run? (b) which DB engines to test (Postgres/MySQL/other)? I can start as soon as the credentials, sample URLs and project space are ready. — Ricardo

@adnanmalik756

Hi, I’m excited about the opportunity to help you test your data platform. You’re looking for feedback on both the speed of page loading and job execution, as well as the accuracy of the data pulled from various sources. I would approach this by creating specific scraping tasks and utilizing existing ones to rigorously test the platform under different loads. I’ll document any performance issues and data discrepancies with screen recordings and screenshots to clearly communicate my findings. With 7+ years of experience in web scraping, data extraction, and usability testing, I can provide insights from both technical and non-technical perspectives. This will ensure that your platform is intuitive and efficient for all users. One question I have is: What specific types of websites or APIs do you want the testers to focus on for the most effective feedback?

@nintysix96

Rough numbers above, the bid and timeline are starting points until we know the full scope of testing needed. Your platform sounds like it's at a tricky but important stage. You've built something that handles scraping from websites, APIs, and relational databases, and now you want to stress it before real users touch it. The goal is clear: catch slowdowns under load, surface any data accuracy gaps, and make sure the no-code path is actually usable for someone who isn't a developer. That's exactly the kind of pre-launch pass that saves painful post-release fire drills. Here's how we'd approach it: - Performance testing: We'd run the platform under normal traffic first, then push it with concurrent jobs across website crawls, API pulls, and DB queries, logging where response times start to degrade or jobs queue up unexpectedly. - Data accuracy checks: For each source type, we'd compare extracted output against known ground-truth values, flagging any field mismatches, encoding issues, or missing rows with Python scripts to diff results cleanly. - No-code workflow walkthrough: We'd go through the full non-technical operator path, scheduling crawls and reviewing results without touching advanced settings, noting any friction, confusing labels, or dead-end UI states. - Annotated evidence: Screen recordings and annotated screenshots for every sluggish page or bad data return, organized by issue type so your dev team can triage quickly. - Summary report: A short written report covering performance benchmarks, accuracy rates by source type, and a prioritized list of UI friction points, formatted so it's useful for both you and any stakeholders. After a quick chat about which source types and load targets matter most, we can send a proper proposal with a firm timeline and final price. Want to jump on a short call this week to walk through what you'd like us to cover first? Best, 96 Studio

@elijahhmonreal

Hi there, I just read your posting. It sounds like you need an expert QA/test engineer and full-stack developer who can rigorously evaluate your web-scraping and data-extraction platform for performance, accuracy, and usability under real-world load conditions. I am a software engineer with 10+ years experience in web development, automation, and data-driven systems. I have worked on scraping pipelines, API integrations, database extraction, and performance testing for scalable platforms. I can test your system across both technical and non-technical workflows—running scraping jobs, simulating heavier loads, and validating output accuracy across websites, APIs, and databases. I will also identify bottlenecks, UI friction points, and data inconsistencies, and provide clear feedback with screenshots/notes and a structured summary report. Let me know if my profile looks interesting, and we can set up a time to talk. Best regards, Elijah M.

@softdev0924

Hello! As per your project post, you’re preparing a full-stack data scraping and extraction platform for public release and need structured usability and performance validation across both technical and non-technical user flows. I would approach this by actively testing scraping workflows across websites, APIs, and databases to evaluate accuracy, stability, and execution speed under different load conditions. Each test would focus on identifying bottlenecks, incorrect data mappings, UI friction points, and inconsistencies in extracted outputs, with clear reproduction steps for any issues found. I would also validate usability from a non-technical perspective to ensure the no-code experience remains intuitive and operationally clear for everyday users. All findings would be documented with concise notes, screenshots or screen recordings, and a final structured report covering performance, accuracy, and usability improvements. I have experience in data extraction workflows and QA-style validation of scraping and automation systems where reliability and data integrity are critical. Happy to start with the first test cycle as soon as access is provided.

@dan0635

I build scrapers and data pipelines for a living (Python/Playwright, REST APIs, SQL), so I can push your platform the way a real power user would and still write it up in plain language for the non-technical side. How I'd run it: a mix of jobs first, a JS-heavy site, a paginated API, and a relational DB pull, under normal load, then several concurrent crawls scheduled together to find where throughput starts dropping. I spot-check the extracted fields against the source pages, because "the job ran" and "the data is right" aren't the same thing. Anything slow or wrong gets a short screen recording plus an annotated shot with the exact steps to reproduce. You'd get one tidy report: load/timing numbers, accuracy notes broken out per source type, and the UI friction I hit going through the no-code flow as a first-timer. Send the credentials and a few sample targets and I can start the same day. Figure 3-4 days for a full first pass, quicker if you only want one round.

@jabulanix

We've just completed a similar project. We recently helped someone achieve a similar objective and outcome. Explain how we can help them achieve their goal with a professional and reliable solution. Keep it general and avoid specific project details. I have completed many projects outside Freelancer.com and am currently offering discounted rates to build my reputation here. Include a brief risk reversal by stating that payment is only required if the final work meets the agreed scope and requirements. I'd love to chat about your project! The worst that can happen is you walk away with a free consultation Regards, Jabu.

@hugog17

⭐Hi there Let's set interview schedule if you want discuss for ur project more detail Your main need is real-world QA for speed, load behavior, and data accuracy before public release. Recently tested a Python scraping platform with website, API, and DB extraction flows, then tracked field accuracy, job runtime, failed rows, and UI friction in a concise QA report. That test pass helped reduce wrong-field extraction cases by 28 percent and made the no-code flow clearer for non-tech users. For your platform, normal and heavy-load scraping jobs can be checked with real target URLs, API endpoints, and relational DB cases. Screen recordings, annotated screenshots, Excel accuracy sheets, bottleneck notes, and clear repro steps will help ur dev team fix issues fast without guessing. Can you share what target volume counts as heavy load for one scraping job? Time line : 5 days Total Budget : $130