Python Dev for Data Scraper & iOS Verifier

@ZohaibRoy

⭐⭐⭐⭐⭐ Build an Automated Data Pipeline and iOS Verification System ❇️ Hi My Friend, I hope you are doing well. I've reviewed your project requirements and see you're looking for a Senior Python Developer for your data pipeline and iOS verification system. You need not look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects focused on data scraping and automation. I will build a robust system to acquire over 10,000 verified leads daily using effective methods and tools within your budget. ➡️ Why Me? I can easily handle your project as I have 5 years of experience in Python development, specializing in data scraping, verification, and automation. My expertise includes Asyncio, API integration, and database management. Furthermore, I have a strong grip on MongoDB and Redis, ensuring efficient data handling and deduplication. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to discussing this with you in our chat. ➡️ Skills & Experience: ✅ Python Development ✅ Data Scraping ✅ API Integration ✅ Asyncio/HTTPX ✅ Headless Browsing ✅ Data Filtering ✅ Data Verification ✅ MongoDB ✅ Redis ✅ Docker ✅ Data Export ✅ Automation Solutions Waiting for your response! Best Regards, Zohaib

@irsolutions

I am a senior Python developer with extensive experience in data scraping and iOS verification systems, making me the perfect fit for your project. I understand your need to acquire over 10,000 verified leads per day and the specific requirements outlined in the project description. In the past, I have successfully completed similar projects in the fintech and blockchain domains, delivering tailored solutions that drive results. My expertise in Python, asyncio, and headless browser crawling aligns perfectly with the core tasks of this project. I have a proven track record in implementing automatic filtering and data verification systems, ensuring efficient and accurate results. I am confident that I can develop a Dockerized system that meets your requirements and exceeds your expectations. Let's work together to bring your vision to life. Feel free to reach out to discuss your project further and take the next steps towards success.

@mubeenm5026

As the founder and CEO of Web Crest, a seasoned Python developer, and leader of a proficient 10-member team, I believe my company is a perfect fit for your data scraping and iOS verification project. Our decade-long experience in building intelligent, scalable solutions will ensure the delivery of a high-performing pipeline that will generate over 10,000 verified leads per day for your US-based operations. We've got an established expertise in Python Asyncio/HTTPX, headless browser crawling, XHR interception, MongoDB (unique indexes), Redis (data deduplication), and API integration; all important for the success of this project. We've even done projects that include similar features such as AI automation, machine learning solutions and data extraction systems. But what makes us stand out isn't just our skills. It's also our commitment to becoming long-term technology partners for our clients. We don't just focus on writing clean code – we care about the bigger picture too. As your partner, we'll ensure constant communication and total transparency so that the system we build with you grows alongside your business seamlessly. Picking Web Crest means choosing reliability, quality delivery and a collaborative spirit - let’s build something meaningful together!

@DeveloperStation

Hi there, We’ve built similar systems that scrape data, verify it, and deliver it in a structured format. For example, we developed a product that extracted data from LinkedIn and used AI to verify the accuracy of the information. We can also handle the iOS app side of things, as we have extensive experience with Swift and SwiftUI. We’ve developed multiple apps that are now live on the App Store. In addition to web scraping, we can help you with other areas like server management, CI/CD pipelines, and front-end development, as we have strong front-end developers who are experts in frameworks like React and Vue. Let’s schedule a 10-minute introductory call to discuss your project in more detail and see if I’m the right fit for your needs. Feel free to message me anytime—I usually respond within 10 minutes. I’m eager to learn more about your exciting project. Best, Adil

@juanjosec63

Hello, I’m excited about the opportunity to contribute to your Phase 1 data pipeline and iOS verification system. With strong experience in Python Asyncio, HTTPX, large-scale scraping architecture, anti-detection strategies, and Dockerized deployments, I can build a high-performance, automated pipeline that reliably acquires and verifies the required lead volume. I’ll ensure efficient scraping with proper API integration, intelligent filtering, deduplication via MongoDB and Redis, and seamless iMessage verification while maintaining stability and scalability. You can expect a clean, production-ready implementation, optimized for performance, accuracy, and daily throughput targets. Best regards, Juan

@toriquldev123

Hello Dear! I write to introduce myself. I'm Engineer Toriqul Islam. I was born and grew up in Bangladesh. I speak and write in English like native people. I am a B.S.C. Engineer of Computer Science & Engineering. I completed my graduation from Rajshahi University of Engineering & Technology ( RUET). I love to work on Web Design & Development project. Web Design & development: I am a full-stack web developer with more than 10 years of experience. My design Approach is Always Modern and simple, which attracts people towards it. I have built websites for a wide variety of industries. I have worked with a lot of companies and built astonishing websites. All Clients have good reviews about me. Client Satisfaction is my first Priority. Technologies We Use: Custom Websites Development Using ======>Full Stack Development. 1. HTML5 2. CSS3 3. Bootstrap4 4. jQuery 5. JavaScript 6. Angular JS 7. React JS 8. Node JS 9. WordPress 10. PHP 11. Ruby on Rails 12. MYSQL 13. Laravel 14. .Net 15. CodeIgniter 16. React Native 17. SQL / MySQL 18. Mobile app development 19. Python 20. MongoDB What you'll get? • Fully Responsive Website on All Devices • Reusable Components • Quick response • Clean, tested and documented code • Completely met deadlines and requirements • Clear communication You are cordially welcome to discuss your project. Thank You! Best Regards, Toriqul Islam

@artakharutyun7

Hello, I’m a Senior Python Developer with extensive experience building high-volume data pipelines, async scraping systems, and verification workflows in production environments. I’ve built distributed scraping architectures using Python (Asyncio, HTTPX, Playwright), handling anti-bot protections, XHR interception, rotating proxies, and API integrations at scale. I’m comfortable integrating third-party scraping services and optimizing request concurrency while maintaining stability and throughput targets (10k+ records/day). For data processing, I’ve designed automated filtering pipelines with MongoDB (unique indexes, deduplication strategies) and Redis (high-speed caching + queue control). I also have experience integrating external verification APIs and building clean classification/export layers (tagged TXT/CSV outputs, automated batching, logging, retry logic). I follow a modular architecture approach: • Async scraping workers • Verification queue layer • Deduplication (MongoDB + Redis) • Classification + export service • Fully Dockerized deployment with monitoring I prioritize clean code, scalability, and fault tolerance, ensuring the system runs reliably with clear metrics and error handling. I’d be happy to discuss Phase 1 architecture and how to efficiently reach the 10,000 verified leads/day goal. Best regards, Artak

@muneeb6767

I can help build a pipeline for scraping people-search sites and generating verified iOS/iMessage leads, since that enables privacy-invasive lead harvesting and potential abuse. If you want, I can help with a compliant alternative like opt-in lead collection, CRM enrichment using licensed data providers, or a secure verification workflow for your own users.

@DigitaSyndicate

Reliability isn't a feature; it's a foundational requirement. I’m here to ensure it’s built-in from day one. Your ambition to automate a high-throughput data pipeline integrating US-centric verification APIs necessitates an architecture prioritising concurrency and fault tolerance. Leveraging Python Asyncio and HTTPX within a Dockerised environment ensures scalable asynchronous operations, while headless browser crawling coupled with XHR interception addresses anti-detection rigorously. Employing MongoDB with unique indexes in tandem with Redis for deduplication will maintain data integrity under heavy loads, safeguarding against bottlenecks and duplication. This approach aligns your Phase 1 target of 10,000 verified leads daily with a resilient foundation for ongoing growth. At DigitaSyndicate, a UK-based agency, we don’t just build; we architect for scale. We engineer precision-built automation and AI-driven systems designed for performance. Our execution minimises the need for costly re-engineering by embedding extensibility and robustness from inception. Previously, we supported a client in optimising lead pipelines for North American markets, achieving 15 per cent greater throughput while halving verification latency. How have you structured your existing workflow around API rate limits and failure recovery within the verification sequence? Casper M. DigitaSyndicate

@Ahmedh058

Hi there, I’m Ahmed from Eastvale, California — a Senior Full-Stack Engineer with over 15 years of experience building high-quality web and mobile applications. After reviewing your job posting, I’m confident that my background and skill set make me an excellent fit for your project. I’ve successfully completed similar projects in the past, so you can expect reliable communication, clean and scalable code, and results delivered on time. I’m ready to get started right away and would love the opportunity to bring your vision to life. Looking forward to working with you. Best regards, Ahmed Hassan

@durgesh8527

I'm Pallavi, a seasoned Full Stack Software Engineer with over 12 years of experience in web and mobile app development. Python, one of my core and finest tools is precisely what you need to realize your vision for this project. Additionally, I possess striking capabilities essential for creating an automated system that draws 10,000 verified iOS leads daily. My proficiency lies in your key project areas; Data Scraping, Filtering, and Exporting, as well as Anti-detection techniques. My considerable skill working with Python Asyncio/HTTPX will ensure the data scraping happens seamlessly and with speed. I am also adept at MongoDB which will come handy in maintaining unique indexes and Redis for efficient data deduplication.

@abdf2010

Hello there, I reviewed your project Python Dev for Data Scraper & iOS Verifier and understood the requirements at a high level. I focus on delivering clear, stable, and maintainable solutions aligned with the actual scope, I can work with Python, Web Scraping, Software Architecture and follow a clean development process with proper structure and error handling. If this aligns with what you’re looking for, please come to chat to discuss further. Best regards

@billybryan98

Hello, I hope you are doing well. I am a senior Python developer with deep experience building automated data pipelines, scalable scrapers, and verification workflows tailored to US-focused data needs. I specialize in robust async data processing, API integrations, and end-to-end system design that stays fast, reliable, and maintainable. In my recent work, I built a headless-crawler stack using Python Asyncio and HTTPX, with careful XHR interception, MongoDB for deduplicated storage, Redis for fast dedupe checks, and Dockerized services. I’ve integrated anti-detection layers via API proxies, implemented data filtering by precise age ranges, and connected verification APIs to confirm activation statuses before exporting clean, tagged datasets. The result was a scalable pipeline that processes thousands of records daily with strong reliability and logging. I can deliver a Dockerized system capable of generating 10,000 verified iOS leads per day, with automated export to tagged text files (Elite/Advanced/Global) and deduplicated storage. I’ll design the pipeline to be modular, testable, and secure, and provide clear milestones and documentation. Please feel free to contact me so we can discuss more details. I am looking forward to the chance of working together. Best regards, Billy Bryan

@shakilan4

HI If you need a compliant, opt-in data pipeline in Python (async, Dockerized, scalable), I can do that and deliver a clean, production-ready system. Best regards, Shakila Naz

@krisk63

Hi there, I’m Kristopher Kramer from McKinney, Texas. I’ve worked on similar projects before, and with over 15 years of experience as a senior full-stack and AI engineer, I have the expertise to deliver this properly. I’m available to start right away and would be happy to discuss the details whenever it’s convenient for you. I look forward to speaking with you. Best regards, Kristopher Kramer

@SmartCodeDev

Hi, I appreciate the detailed outline. However, I’m not able to assist with building systems focused on scraping personal data from people-search websites or verifying private messaging activation status for lead generation purposes. If you’re working on a compliant data platform, I’d be happy to help design a legally sound data pipeline using properly consented data sources, public APIs, or first-party user submissions. I can also assist with building scalable Python scraping infrastructure for permitted datasets, Dockerized async systems, MongoDB/Redis architectures, and high-throughput pipelines in a compliant context. If you’d like to discuss a privacy-compliant approach, feel free to reach out.

@mauriciom46

Hello, I’ve carefully reviewed your requirements for a Python-based scraping and iOS verification pipeline. I recently built a similar data pipeline using Python asyncio, HTTPX, and headless browsers, with API-based verification, Redis deduplication, and MongoDB storage, all packaged in a Dockerized, high-throughput system. I’ll implement efficient scraping with anti-detection, structured filtering, iMessage verification via API, and automated tagging/export. The system will be scalable, well-documented, and optimized to meet daily lead targets. I’m available to start immediately and will deliver a high-quality, production-ready pipeline in the shortest possible timeframe. Best regards, Mauricio

@chiragpipal

Revolutionize your lead generation with a seamless data pipeline! As a senior Python developer with 5 years of experience, I understand the need for a clean and automated system. I’ve built similar systems that prioritize speed and efficiency while ensuring data integrity. By collaborating, we can achieve your goal of 10,000 verified leads daily through a professional and robust platform. Let's discuss how my expertise in Python Asyncio/HTTPX, headless browser crawling, and data management can bring your vision to life. I’d love to chat about your project! Worst case, you get free advice that can guide your project. Chirag Pipal Regards.

@TheSecondSource

Warm greetings, building high-volume automated scraping and verification pipelines requires strong Python architecture, async processing, and scalable infrastructure. We specialize in Python backend systems, Dockerized data workflows, and API integrations. We are a team of 62 professionals with 9+ years of experience in software architecture, MongoDB, Redis, and high-performance data processing. Here’s how we can help: * Design a Dockerized Python (Asyncio/HTTPX) pipeline with modular architecture * Implement robust data collection, filtering logic, and structured export workflows * Integrate third-party APIs for validation and enrichment * Configure MongoDB (unique indexes) and Redis for deduplication and performance * Deliver clean, maintainable code with logging, monitoring, and scalability in mind Before proceeding, we need to clarify data compliance and legal considerations. Are you authorized to collect and process this data under applicable US privacy laws (TCPA, CCPA)? What infrastructure will host the Docker deployment (AWS, GCP, on-prem)? We focus on building compliant, production-grade systems and would be glad to align on architecture and feasibility.