Web Scraper Development for Leaderboards.

@Zeeshan0489

Hello, I’ve reviewed your ambitious Web Scraper project and I’m confident I can scale and harden a hybrid, JS-heavy scraper that handles 500+ leaderboards per hour with reliability. With Node.js, Playwright, API interception, and a PostgreSQL/TimescaleDB storage stack, I’ve built and maintained high-throughput scrapers that deal with dynamic UIs, AJAX-loaded data, and inconsistent data formats. I will improve robustness by: (1) building deterministic UI element detection with resilient selectors and state guards; (2) combining UI-driven reveals with API-based extraction to maximize coverage; (3) implementing parallel extraction paths with confidence-based merging and strict validation; (4) adding OCR-assisted fallbacks and vision-based checks as optional validation layers. I’ll focus on reliability, coverage, and correctness at scale, delivering predictable hourly runs and near-live updates. Relevant experience: full-stack JS-based scraping, data processing pipelines, and scalable storage for time-series data. I will implement a modular extractor framework optimized for 100+ site patterns, with clear logging, metrics, and failover handling. The plan: 1) audit current base scraper, 2) identify high-variance site classes, 3) implement robust, extensible modules, 4) set up CI/runbook for hourly schedules, 5) validate with automated tests including visual checks. Next steps: I can start with a fast audit and deliver a validated proof-of-concept for 5-10 sites within 3 days, fo

@ayesha86664

Hi there! I understand how frustrating it can be when a scraper misses dynamic leaderboard data or breaks on edge cases. You need a solution that works reliably at scale without manual fixes. I have strong experience in Node.js and Playwright for browser automation, handling complex, JavaScript-heavy websites. I’ve built scrapers that manage dynamic buttons, tabs, asynchronous data, and hybrid UI/API extraction. I also integrate PostgreSQL for structured storage and have worked with OCR-based fallback and validation logic to ensure accuracy across hundreds of pages. My approach will improve your current scraper’s reliability and coverage by combining deterministic scraping with smart validation, ensuring full leaderboard capture, handling edge cases, and maintaining performance for large-scale runs. Check our work https://www.freelancer.com/u/ayesha86664 Do you already have a list of priority sites for testing the improvements? Let me know if you’re interested & we can discuss it. Best Regards, Ayesha

@strdmgrblr

I work on projects where we help clients reach their goals by improving the reliability and scalability of complex systems, boosting performance and accuracy at scale. We’ll help you enhance your scraper’s robustness and coverage across diverse, dynamic leaderboard sites, ensuring data is complete and up-to-date every run. We’ve tackled similar challenges with hybrid scraping methods for various data-heavy platforms. I bring strong off-platform experience with Node.js and Playwright, and understand the need to handle asynchronous loading, UI interactions, and conflicting data representations to create seamless, robust scrapers. Key skills include automation, API interception, parallel data extraction, and validation rule implementation. We can chat more about the scraper’s challenges. I promise not to vibe-code blindly. Let’s have a chat, Alicia

@naseeb1995

As a seasoned AI & Automation Specialist with over 10 years of experience, I can tackle the unique web scraping challenge your project presents. My specialized proficiencies in AI development, Automation, and JavaScript align seamlessly with the demanding tasks at hand. When it comes to scaping, I know firsthand that a one-size-fits-all approach doesn't cut it. The dynamic nature of scraped sites is my bread and butter. I'm accustomed to dealing with dynamic buttons, hybrid navigations, different layouts, masked usernames—you name it. Additionally, my proficiency will be a huge asset as we utilize Node.js and Playwright for browser automation underpinning some of our workflows. Let's not forget the massive scale your system operates at. Handling hundreds of sites per run is something I'm well-acquainted with. Over my career, I've designed autonomous systems that handled high data throughput for businesses while maintaining reliability, efficiency, and accuracy—exactly what your project needs. Combining my extensive AI background with vision-assisted validation experience, I offer a truly comprehensive skill set. I have an in-depth understanding of the challenges web scraping poses and am versed in practical, scalable solutions. You're not just hiring a developer; you're hiring a problem solver who can take your scraper from vibing to robust. I'm excited about the opportunity to raise your project's performance to new heights.........

@saliktechpro

Hey , I just finished reading the job description and I see you are looking for someone experienced in Node.js, API Development, Data Extraction, PostgreSQL, JavaScript, Web Scraping, Automation and Data Processing. This is something I can do. Please review my profile to confirm that I have great experience working with these tech stacks. While I have few questions: 1. These are all the requirements? If not, Please share more detailed requirements. 2. Do you currently have anything done for the job or it has to be done from scratch? 3. What is the timeline to get this done? Why Choose Me? 1. I have done more than 250 major projects. 2. I have not received a single bad feedback since the last 5-6 years. 3. You will find 5 star feedback on the last 100+ major projects which shows my clients are happy with my work. Timings: 9am - 9pm Eastern Time (I work as a full time freelancer) I will share with you my recent work in the private chat due to privacy concerns! Please start the chat to discuss it further. Regards, Salik.

@fizaa170

I can harden your existing Playwright-based scraper to handle dynamic, inconsistent leaderboard sites at scale by improving UI detection, async load validation, and multi-source extraction confidence logic. The focus will be reliability, full dataset capture, and performance across hundreds of sites without rebuilding what already works. Muzammil

@Nilosiqueiratj

Hi, I reviewed your project about "Web Scraper Development for Leaderboards" and noticed that you're working with Node.js and Playwright for browser automation. That tells me the main challenge here is ensuring reliable scraping across highly dynamic and diverse leaderboard sites with inconsistent UI behaviors and data formats. I’ve worked on similar web scraping projects where I: - designed scalable backend APIs, - implemented secure authentication and data models, - and delivered production-ready web/mobile features. For your project, I’d suggest starting with refining the hybrid scraping logic, especially improving the detection of interactive UI elements and integrating confidence-based data merging strategies to avoid partial or incorrect scraping and prevent future rework and performance issues. Before moving forward, I have one quick question: How do you currently prioritize handling site-specific edge cases versus generalizing scraping logic for scalability? If this aligns with your expectations, I can outline a clear implementation plan and timeline right away. Best regards, Nilo

@irazon15

I work on high‑scale, JS‑heavy scrapers where reliability matters more than hacks. I won’t rewrite your system—I’ll harden it: improving UI detection, async state checks, and confidence‑based result merging so partial or conflicting data stops slipping through. I’m comfortable with Playwright, network interception, parallel extraction logic, and performance tuning at scale. My focus is predictable runs, full leaderboard capture, and resilient handling of edge cases across hundreds of sites per cycle.

@Hemantt841

With 7 years of experience in web scraping, I am the best fit to complete this project. I have the relevant skills and expertise to improve the reliability, coverage, and correctness of your production scraper for leaderboards. I have worked on similar solutions in the past which makes me confident in delivering the desired results. How I will complete this project: - Analyze the current limitations of the existing scraper - Implement a hybrid scraping approach for handling dynamic and inconsistent site behavior - Enhance detection of UI elements and data extraction methods - Optimize the system for scalability and performance - Utilize AI and vision-based testing for validation Tech stack I will use: - Node.js for backend development - Playwright for browser automation - Network interception for API-based extraction - PostgreSQL + TimescaleDB for storage - HTML to Markdown conversion for structural parsing - OCR-based fallback extraction for edge cases - Cron-based execution for hourly runs I have a proven track record of delivering reliable and scalable web scraping solutions. My approach will ensure that the scraper can handle hundreds of sites per run efficiently and accurately. I am confident that my expertise in web scraping and familiarity with dynamic site behavior will enable me to successfully enhance your scraper for leaderboards. Please consider my proposal for

@leenadvnani6

Good Day, As a senior web scraper developer specializing in dynamic and complex website scraping, I understand the unique challenges presented by leaderboards with varying structures and behaviors. I excel in creating hybrid scraping approaches to handle dynamic elements, JavaScript-rendered content, and asynchronous data sources. I am experienced in using Node.js, Playwright, HTML parsing, OCR-based extraction, and database management tools like PostgreSQL. Why Choose me? - Unlimited Revisions: I am committed to improving reliability and correctness. - Unique Creations: I develop practical and scalable solutions tailored to each site. - Money-Back Guarantee: Ensuring efficient data extraction and storage. - 24/7 Communication: Available to discuss and address any issues promptly. Browse my portfolio for quality work samples: https://www.freelancer.com/u/leenadvnani6 Let's discuss your project further in the chat. Best regards, Leena Kumari :)

@YamestimationLLC

Hello there, I understand that you are looking for a skilled individual to improve the reliability, coverage, and correctness of your existing web scraper system that processes 500+ leaderboard sites per hour, each with unique structures and behaviors. My proposed solution involves enhancing the current scraper to handle dynamic buttons, tabs, JavaScript-rendered content, hybrid navigation, and masked usernames. By leveraging a hybrid scraping approach and technologies like Node.js, Playwright, and PostgreSQL, I aim to optimize the system for scalability and performance. Key Deliverables: - Enhanced scraper functionality for handling dynamic site behaviors - Improved detection of leaderboard elements and full dataset extraction - Implementation of multiple extraction methods in parallel for increased coverage - Integration of AI and vision-based testing for enhanced validation I bring expertise in web scraping challenges, practical solution implementation, and a focus on reliability and performance. I am keen on discussing your project in more detail to align on the requirements and deliverables. I'll share my portfolio with you in the DM. Kindly, ping me there. Best regards, Minhal

@Apartechnologies

Hi there, I’ve read your project details, and it looks like you need a reliable web scraper that can effectively handle the complexities of various leaderboard sites. I understand that you’re looking for someone who can improve the current system's performance by addressing issues with dynamic content and inconsistent data extraction. My approach would involve enhancing the existing scraper by implementing more robust detection methods and optimizing the extraction logic to ensure full datasets are captured. With 8+ years of experience in web scraping and a solid understanding of JavaScript and Node.js, I’m confident in my ability to develop scalable solutions that meet your needs. I appreciate the unique challenges of scraping dynamic sites and am ready to tackle them head-on. Could you share more about the specific edge cases you've encountered with the existing scraper that you’d like addressed? Best regards, Muhammad Hammad.

@Foraxis

I've just completed a similar project. I built a scalable scraper handling diverse leaderboard sites with dynamic content and complex UI interactions. This project aligns well with expertise in scalable and reliable scraping solutions. I understand the challenges of dynamic leaderboards and hybrid navigation. Specializing in Node.js and Playwright, I focus on performance, security, and polished user experience. Feel free to chat for a free consultation; worst case, you walk away with a free consultation and a clearer understanding of your project. Kind regards, Curtley

@nicolasalexandro

Hey — saw your post about building a web scraper for leaderboards. Scrapers like this usually break when sites change layout or add anti-bot measures, so reliability over time is the real challenge. Quick question before I suggest an approach: Do you already know which sites and specific leaderboard data you need pulled, or is that still being defined? I’ve built multiple scrapers for gaming and ranking/leaderboard-style sites, including handling rotating IPs, captchas, and changing HTML structures. If you send over the job’s full description, target URLs, or any existing scripts, I’ll review them and tell you what’s realistic and how I’d structure it.

@IganranE1

As an automation and data processing specialist, I've skillfully navigated the complexities of manipulating vast amounts of data from diverse sources. With experience in leveraging Node.js, Playwright, PostgreSQL, TimescaleDB, and HTML conversion tools among others, I'm confident in my ability to not just improve upon your current scraper but optimize it for peak performance. I understand the unique challenges of real-world web scraping and have successfully developed solutions for highly dynamic and JS-rendered sites like those you're dealing with. My approach is grounded in practicality and scalability; I value reliability, performance, and data integrity above all else Importantly, I appreciate the importance of AI-assisted testing for data accuracy validation and have an interest in vision-assisted validation. While not a necessity for the task at hand, this knowledge has proven critical in tackling layout patterns difficult to detect through DOM analysis alone - securing robustness for the scraper. Overall, I am invested in providing tailor-made solutions that can operate effectively at scale w. hile delivering predictable performance. Let's turn your partially "vibe-coded" base scraper into a mettre rééliabilitée

@krishnasai987

I’ve spent the last few years working on real production systems where reliability and scale actually matter, not just making something work once. Your project really matches the kind of problems I enjoy solving — dynamic websites, inconsistent behavior, partial data, and edge cases that break otherwise “correct” logic. Instead of rebuilding your scraper, I would focus on strengthening what you already have. I can help make the detection of leaderboard tabs and buttons more reliable, make sure the scraper waits for the full leaderboard to load, and prevent incomplete or conflicting data from being saved. I’m comfortable working with Playwright, network interception, parallel extraction flows, and validation logic, and I take a very practical approach to debugging scraping failures. My goal is simple: make your existing system more stable, predictable, and trustworthy when running at scale across hundreds of sites.

@noahm008

Hello, I have extensive experience building robust, scalable web scrapers capable of handling dynamic, JS-heavy sites at high throughput. I specialize in hybrid extraction approaches combining DOM parsing, network/API interception, and OCR fallback for edge cases, ensuring accurate and complete data capture across diverse layouts. Familiar with Node.js and Playwright, I can enhance your existing scraper to improve reliability, coverage, and performance at scale—processing hundreds of leaderboard sites per run with predictable execution times. My focus is on practical, deterministic solutions that maintain correctness while optimizing speed and resource usage. Having carefully reviewed your requirements, I am confident in delivering a production-ready solution that meets your criteria for accuracy, scalability, and near-live updates.

@adnans092

Greetings I can surely help you for Web Scraping Development for Leaderboards. I am in the IT industry since more than a decade and serve so many clients in building and rebuilding websites, software, and applications I have strong hands-on different cms like webflow, Wordpress, shopify, squarespace, wix and on different programming languages like PHP, Laravel, React, Node.js, HTML, CSS, And I did the migration from HTML to click funnels. I have made so many websites (E-commerce, WordPress, Classified admin, WooCommerce, etc.), bots, softwares, and Mobile applications (Android, IOS, and Huawei Play store) in my entire career. I have strong hands on both the front end and back end. Currently, I am part of the team who are dealing with miscellaneous tasks in dubizzle and Mzad Qatar including design and layouts and they both have more than 1 million users. I believe that you are looking for a web designer and for sure you will get your end desire result with plagiarism-free work and with better quality as I am assuring you this. Package deals can also be done for long-term collaboration as per the client's requirement. Kindly do come on chat so that we can discuss project details further more.

@ruslanfulldev

As a highly skilled Full-Stack Web Developer, I am excited to bring my expertise to efficiently scale and enhance your leaderboard scraping system. I am well-versed in working with Node.js, which aligns with your tech stack and Playwright for browser automation, an essential tool for handling dynamic web elements of different structures. My experience includes creating hybrid applications that involve both UI interaction and backend API calls – a skill CRITICAL for scraping the hybrid leaderboards you have. My commitment to practical solutions, scalability, and adherence to best practices aligns perfectly with your expectations from this project. In the past, I have solved complex web scraping challenges, reasoning through inconsistencies and dynamic behavior – qualities indispensable for tackling a task of this nature. With these capabilities combined with my competence in API Development, Automation, JavaScript, and Web Scraping - I am confident I can significantly enhance the reliability, coverage, and correctness of your existing scraper. Harnessing my comprehensive skillset and focused approach of mine will help you upgrade your scraper effectively without reinventing the wheel. I look forward to discussing more about your project and showcasing how my proven track record can facilitate your growth in achieving an efficient high-scale scraper system. Let's connect!